WLS Codebooks

Note: Codebooks contain frequency data from the private data release. For some variables, these differ from the frequencies in the public release. Variables that differ between the public and private versions include "(not available on public release)" as part of the variable description, or a note indicating the difference between the public and private versions.

Mail: Health

Graduate Mail: Health Module

OVERVIEW

The 1993 round of WLS data collection was the first to include items directly
ascertaining health and health behaviors. During the 2004 round, additional
information about childhood health, access to health care, health utilization,
quality of life, and future health projections was collected - both by
telephone and using a mail questionnaire. This round (2011), the mail
questionnaire focuses on general health, current diagnoses and their
interference with enjoyable activities, daytime drowsiness and sleep problems,
physical attributes, trends in bodily weight, examinations and health
appointments during the past 5 years, changes in quality of vision and hearing
during the past 5 years, current medications and their attributes, cigarette
smoking history and trends, alcohol use and its effects, bodily organ donation,
end of life wishes and expectations, and biological relatives' health
histories. 


BRIEF VARIABLE DESCRIPTIONS

    Variable ranges reference dataset/codebook order and are not necessarily 
    alphabetical.
    _____________________________________________________________________
  
    JXSF1REC-JXSF3REC:		  SF12 Summary Scales
   
    JX001RER-JX004RER:            Personal Health and Appearance Ratings 
    				  at Present, in Past, and Relative to 
    				  Others
    
    JXCH01RE-JXCH10BR:            Current Health Limitations	
    
    JX401RER-JX409RER:            Health and Limitations in Past 4 Weeks
    			
    JX082REC-JX081RER:            Current Health Symptoms, Frequency, and 
    				  Resulting Discomfort
    				  
    JX117REC-JX108RER:            Current Diagnosed Illnesses, Age at
    				  Diagnosis, and Resulting Interference
    				  with Activities

    JX007RER:                     Days Ill or Injured in Bed During Past
    				  Year
    				  
    JXSL03RE-JXSL10RE:            Sleep Trends and Sleep Apnea
    
    JX009RER-JX011REC:            Current Weight, Height, and Body Mass
                                  Index
    
    JXW01RER-JXW10RER:            Weight History and Management
    
    JX1301RE-JX1318RE:            Procedures/Operations History
    
    JXHS30RE-JXHS20RE:            Current Vision and Hearing Attributes
    				  and Quality
    				  
    JXH001RE-JXH856RE:            Medication Usage and Characteristics
    
    JXH150RE-JXH159RE:		  Experiences Taking Medication Prescribed
    				  By a Doctor in the Past 12 Months
    
    JX012RER-JX015RER:            Cigarette Use and History
    
    JXAB01RE-JXAB11RE:            Alcohol Use and Behaviors
    
    JXOR01RE-JXOR03RE:		  Attitudes about Bodily Organ Donation
    
    JXEL01RE-JXEL14RE:		  End of Life Considerations and 
    				  Preferences

    JXM01RER-JXD13RER:            Health History of Biological Parents, 
    				  Siblings, and Children

jxsf1rec: SF12 Physical Component Summary Scale.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_x1, y_health3_:1-2, y_health5_:1-2, y_health6_:1-2, y_health7, y_health8_:1-3, y_health9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-27 NOT ASKED OF PROXY 13 14 27
-2 262 336 598
10.70 - 36.40 396 557 953
36.41 - 46.80 463 490 953
46.82 - 52.11 441 524 965
52.12 - 55.50 487 505 992
55.52 - 64.55 416 487 903
Note: One of the SF12 components (y_x1) is from the CAPI (in-person) interview. PCS12 and MCS12 scores were computed ONLY if the participant answered all 12 items.
Note: JXSF1REC was constructed using the physical regression weights from the second edition of SF-12 (Ware J.E., M. Kosinski, and S.D. Keller. 1995. SF-12: How to Score the SF-12 Physical and Mental Health Summary Scales. Second Edition. Boston, MA: The Health Institute, New England Medical Center.).

jxsf2rec: SF12 Mental Component Summary Scale.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_x1, y_health3_:1-2, y_health5_:1-2, y_health6_:1-2, y_health7, y_health8_:1-3, y_health9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-27 NOT ASKED OF PROXY 13 14 27
-2 262 336 598
20.42 - 53.08 405 549 954
53.09 - 56.87 448 507 955
56.88 - 58.44 453 505 958
58.44 - 60.68 423 531 954
60.68 - 71.36 474 471 945
Note: One of the SF12 components (y_x1) is from the CAPI (in-person) interview. PCS12 and MCS12 scores were computed ONLY if the participant answered all 12 items.
Note: JXSF2REC was constructed using the mental regression weights from the second edition of SF-12 (Ware J.E., M. Kosinski, and S.D. Keller. 1995. SF-12: How to Score the SF-12 Physical and Mental Health Summary Scales. Second Edition. Boston, MA: The Health Institute, New England Medical Center.).

jxsf3rec: Number of SF12 items answered.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_x1, y_health3_:1-2, y_health5_:1-2, y_health6_:1-2, y_health7, y_health8_:1-3, y_health9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-27 NOT ASKED OF PROXY 13 14 27
1 15 30 45
2 2 5 7
3 90 83 173
4 0 1 1
5 1 0 1
7 0 3 3
8 5 3 8
9 5 3 8
10 21 29 50
11 123 179 302
12 2203 2563 4766
Note: One of the SF12 components (y_x1) is from the CAPI (in-person) interview. PCS12 and MCS12 scores were computed ONLY if the participant answered all 12 items.

jx001rer: How would you rate your health at the present time?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health1_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 24 37 61
-4 NOT ASCERTAINED 1 4 5
1 VERY POOR 21 22 43
2 POOR 59 53 112
3 FAIR 388 404 792
4 GOOD 1561 1860 3421
5 EXCELLENT 424 533 957

jx002rer: How would you rate your health compared with other people your same age and sex?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health1_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 52 79 131
-4 NOT ASCERTAINED 1 1 2
-1 DON'T KNOW 0 1 1
1 VERY POOR 16 23 39
2 POOR 65 70 135
3 FAIR 287 344 631
4 GOOD 1341 1576 2917
5 EXCELLENT 716 819 1535

jxc01rer: How would you rate your health as a child, when you were growing up through age 16?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health1_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 47 67 114
-4 NOT ASCERTAINED 3 2 5
1 VERY POOR 22 12 34
2 POOR 45 34 79
3 FAIR 149 129 278
4 GOOD 746 897 1643
5 EXCELLENT 1466 1772 3238

jx003rer: Compared with 5 years ago, how would you rate your health?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health2_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 18 39 57
-4 NOT ASCERTAINED 3 0 3
1 MUCH WORSE 43 53 96
2 SOMEWHAT WORSE 521 572 1093
3 ABOUT THE SAME 1517 1753 3270
4 SOMEWHAT BETTER 258 337 595
5 MUCH BETTER 118 159 277

jx004rer: Compared with 5 years ago, how would you rate your appearance?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health2_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 40 54 94
-4 NOT ASCERTAINED 2 1 3
1 MUCH WORSE 12 25 37
2 SOMEWHAT WORSE 396 548 944
3 ABOUT THE SAME 1762 1890 3652
4 SOMEWHAT BETTER 203 274 477
5 MUCH BETTER 63 121 184

jxch01re: How much does your health limit you in moderate activities, such as moving a table, pushing a vacuum cleaner, bowling or playing golf?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health3_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 26 42 68
-4 NOT ASCERTAINED 1 3 4
1 YES, LIMITED A LOT 192 286 478
2 YES, LIMITED A LITTLE 705 844 1549
3 NO, NOT LIMITED AT ALL 1554 1738 3292

jxch02re: How much does your health limit you in climbing several flights of stairs?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health3_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 34 57 91
-4 NOT ASCERTAINED 2 2 4
1 YES, LIMITED A LOT 283 516 799
2 YES, LIMITED A LITTLE 917 1125 2042
3 NO, NOT LIMITED AT ALL 1242 1213 2455

jxch03re: Do you have any difficulty lifting and carrying something as heavy as 10 pounds, such as a bag of groceries?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 18 37 55
-4 NOT ASCERTAINED 1 0 1
1 YES 117 333 450
2 NO 2342 2543 4885

jxch04re: Do you have any difficulty lifting and carrying something as heavy as 25 pounds, such as a bag of pet food?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 19 43 62
-4 NOT ASCERTAINED 0 2 2
-1 DON'T KNOW 0 3 3
1 YES 363 1402 1765
2 NO 2096 1463 3559

jxch05re: Do you have any difficulty pushing and pulling large objects, such as a living room chair?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 28 39 67
-4 NOT ASCERTAINED 0 4 4
1 YES 401 809 1210
2 NO 2049 2061 4110

jxch06re: Do you have any difficulty standing or being on your feet for one hour?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 24 44 68
-4 NOT ASCERTAINED 2 2 4
-1 DON'T KNOW 1 0 1
1 YES 664 842 1506
2 NO 1787 2025 3812

jxch07re: Do you have any difficulty sitting for one hour?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 21 43 64
-4 NOT ASCERTAINED 4 6 10
1 YES 118 179 297
2 NO 2335 2685 5020

jxch08re: Do you have any difficulty with stooping, crouching or kneeling?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 28 40 68
-4 NOT ASCERTAINED 2 4 6
1 YES 1106 1500 2606
2 NO 1342 1369 2711

jxch09re: Do you have any difficulty reaching over your head?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 22 37 59
-4 NOT ASCERTAINED 8 3 11
1 YES 294 337 631
2 NO 2154 2536 4690

jxch10re: Do you have any difficulty climbing one flight of stairs?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 51 68 119
-4 NOT ASCERTAINED 3 1 4
1 YES 280 533 813
2 NO 2144 2311 4455

jxch10ar: If you have any difficulty lifting and carrying something as heavy as 10 or 25 pounds, pushing and pulling large objects, standing or being on your feet for one hour, sitting for one hour, stooping, crouching, kneeling, reaching over your head, or climbing one flight of stairs, what condition is the main reason for your difficulty? These are ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_9, c_y_health4_9
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 285 365 650
-18 COULD NOT CODE 5 3 8
-4 NOT ASCERTAINED 6 3 9
-2 1163 901 2064
-1 DON'T KNOW 3 1 4
45 Acute poliomyelitis 2 0 2
78 Other diseases due to viruses and Chlamydiae 0 1 1
138 Late effects of acute poliomyelitis 2 2 4
162 Malignant neoplasm of trachea, bronchus, and lung 1 0 1
170 Malignant neoplasm of bone and articular cartilage 0 1 1
172 Malignant neoplasm of skin 0 1 1
174 Malignant neoplasm of female breast 0 2 2
183 Malignant neoplasm of ovary and other uterine adnexa 0 1 1
185 Malignant neoplasm of prostate 1 0 1
199 Malignant neoplasm without specification of site 4 5 9
250 Diabetes mellitus 2 2 4
274 Gout 1 1 2
278 Obesity and other hyperalimentation 9 11 20
285 Other and unspecified anemias 0 1 1
289 Other diseases of blood and blood-forming organs 0 1 1
290 Senile and presenile organic psychotic conditions 2 0 2
299 Psychoses with orgin specific to childhood 1 0 1
322 Meningitis of unspecified cause 0 1 1
331 Other cerebral degenerations 0 3 3
332 Parkinson's disease 15 5 20
333 Other extrapyramidal disease and abnormal movement disorders 0 3 3
335 Anterior horn cell disease 0 1 1
340 Multiple sclerosis 4 12 16
344 Other paralytic syndromes 1 0 1
356 Hereditary and idiopathic peripheral neuropathy 8 12 20
358 Myoneural disorders 0 1 1
359 Muscular dystrophies and other myopathies 0 2 2
369 Blindness and low vision 1 0 1
386 Vertiginous syndromes and other disorders of vestibular system 8 5 13
389 Hearing loss 0 1 1
410 Acute myocardial infarction 4 1 5
416 Chronic pulmonary heart disease 0 3 3
425 Cardiomyopathy 1 0 1
427 Cardiac dysrhythmias 4 6 10
428 Heart failure 4 3 7
429 Ill-defined descriptions and complications of heart disease 17 15 32
436 Acute, but ill-defined, cerebrovascular disease 14 11 25
443 Other peripheral vascular disease 2 1 3
454 Varicose veins of lower extremities 0 1 1
456 Varicose veins of other sites 0 1 1
457 Noninfectious disorders of lymphatic channels 1 0 1
458 Hypotension 1 0 1
459 Other disorders of circulatory system 2 4 6
460 Acute nasopharyngitis [common cold] 0 1 1
492 Emphysema 2 9 11
493 Asthma 3 16 19
496 Chronic airway obstruction, not elsewhere specified 24 26 50
501 Asbestosis 1 0 1
515 Postinflammatory pulmonary fibrosis 1 1 2
530 Diseases of esophagus 1 0 1
553 Other hernia of abdominal cavity without mention of obstruction or gangrene 4 2 6
586 Renal failure, unspecified 1 0 1
618 Gebital prolapse 0 1 1
710 Diffuse diseases of connective tissue 0 2 2
714 Rheumatoid arthritis and other inflammatory polyarthropathies 3 22 25
715 Osteoarthrosis and allied disorders 14 30 44
716 Other and unspecified arthropathies 108 247 355
717 Internal derangement of knee 0 1 1
718 Other derangement of joint 1 1 2
719 Other and unspecified disorders of joint 232 278 510
720 Ankylosing spondylitis and other inflammatory spondylopathies 0 2 2
721 Spondylosis and allied disorders 7 11 18
722 Intervertebral disc disorder 10 26 36
723 Other disorder of cervical region 1 0 1
724 Other and unspecified disorders of back 101 181 282
725 Polymyalgia rheumatica 1 2 3
726 Peripheral enthesopathies and allied syndromes 9 8 17
727 Other disorders of synovium, tendon, and bursa 0 4 4
728 Disorders of muscle, ligament, and fiscia 33 130 163
729 Other disorders of soft tissues 1 20 21
733 Other disorders of bone and cartilage 0 12 12
734 Flat foot 2 3 5
737 Curvature of spine 0 9 9
780 General symptoms 29 33 62
786 Symptoms involving respiratory system and other chest symptoms 28 48 76
788 Symptoms involving urinary system 1 0 1
799 Other ill-defined and unknown cause of morbidity and mortality 32 34 66
805 Fracture of vertebral column without mention of spinal cord 3 4 7
808 Fracture of pelvis 0 1 1
818 Ill-defined fractures of upper limb 0 1 1
820 Fracture of neck of femur 3 1 4
822 Fracture of patella 1 0 1
824 Fracture of ankle 0 1 1
827 Other, multiple, and ill-defined fractures of lower limb 2 7 9
840 Sprains and strains of shoulder and upper arm 8 5 13
841 Sprains and strains of elbow and forearm 1 0 1
843 Sprains and strains of hip and thigh 0 2 2
844 Sprains and strains of knee and leg 5 13 18
845 Sprains and strains of ankle and foot 3 0 3
847 Sprains and strains of other and unspecified parts of the back 1 5 6
848 Other and ill-defined sprains and strains 2 1 3
869 Internal injury to unspecified or ill-defined organs 0 1 1
879 Open wound of other and unspecified site, except limbs 1 0 1
909 Late effects of other and unspecified external causes 2 4 6
952 Spinal cord injury without evidence of spinal bone injury 1 0 1
989 Toxic effect of other substances, chiefly nonmedicinal as to source 2 0 2
990 Effects of radiation, unspecified 0 1 1
996 Complications peculiar to certain specified procedures 1 0 1
998 Other complications of procedures, not elsewhere classified 0 1 1
3450 Walking 1 4 5
3469 Walking and moving, other specified and unspecified 17 20 37
5814 Motor vehicle traffic accident involving collision with pedestrian 0 1 1
5819 Motor vehicle traffic accident of unspecified nature 1 2 3
5878 Surgical operation and other surgical procedures as the cause of abnormal reaction of patient, or of later complication without mention of misadventure at the time of operation 2 0 2
5928 Other And Unspecified Environmental And Accidental Causes 1 1 2
6015 Other Personal History Presenting Hazards To Health 1 0 1
6046 Other Dependence On Machines 0 4 4
6049 Other Conditions Influencing Health Status 54 81 135
6052 Fitting And Adjustment Of Prosthetic Device and implant 0 1 1
6069 Problems Related to Lifestyle 11 17 28
7000 Procedures and Interventions, NEC 1 3 4
7002 Other operations on skull, brain, and cerebral meninges 0 1 1
7033 Other operations on lung and bronchus 2 2 4
7036 Operations on vessels of heart 1 2 3
7037 Other operations on heart and pericardium 2 1 3
7044 Other operations on stomach 0 2 2
7054 Other operations of abdominal wall 0 1 1
7068 Other incision and excision of uterus 0 1 1
7078 Other operations on bones, except facial bones 1 0 1
7080 Incision and excision of joint structures 10 9 19
7081 Repair and plastic operations on joint structures 112 153 265
7083 Operations on muscle, tendon, fascia, and bursa except hand 1 3 4
7084 Other procedures on musculoskeletal system 0 1 1
7085 Operations on the breast 0 1 1
Note: This variable contains the specified conditions participants reported, coded using using ICD-9 and ICF classifications. See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jxch10br: If you have any difficulty lifting and carrying something as heavy as 10 or 25 pounds, pushing and pulling large objects, standing or being on your feet for one hour, sitting for one hour, stooping, crouching, kneeling, reaching over your head, or climbing one flight of stairs, what condition is the main reason for your difficulty? These are collapsed ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health4_9, c_y_health4_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 285 365 650
-18 NOT CODEABLE 5 3 8
-4 NOT ASCERTAINED 6 3 9
-2 1163 901 2064
-1 DON'T KNOW 3 1 4
10 Infectious and Parasitic Diseases 4 3 7
20 Neoplasms 6 10 16
30 Endocrine, Nutritional, Metabolic, Immunity 12 14 26
40 Blood and Blood-Forming Organs 0 2 2
50 Mental Disorders 3 0 3
60 Nervous System and Sense Organs 37 46 83
70 Circulatory System 50 46 96
80 Respiratory System 31 53 84
90 Digestive System 5 2 7
100 Genitourinary system 1 1 2
130 Musculoskeletal System and Connective Tissue 523 989 1512
160 Symptoms, Signs, and Ill-Defined Conditions 90 115 205
170 Injury and Poisoning 36 48 84
180 ICD-9 E Codes 4 4 8
190 ICD-9 V Codes 66 103 169
200 ICD-9 Volume 3 Headings 130 180 310
230 ICF Activities and Participation 18 24 42
Note: This variable collapses the ICD-9 and ICF codes used at JXCH10AR into categories. See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jx401rer: During the past 4 weeks, have you accomplished less than you would like with your work or other daily activities as a result of your physical health?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health5_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 113 129 242
-27 NOT ASKED OF PROXY 13 14 27
1 YES 563 753 1316
2 NO 1789 2017 3806

jx402rer: During the past 4 weeks, were you limited in the kind of work or other activities you could do as a result of your physical health?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health5_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 126 142 268
-27 NOT ASKED OF PROXY 13 14 27
-1 DON'T KNOW 0 1 1
1 YES 590 766 1356
2 NO 1749 1990 3739

jx403rer: During the past 4 weeks, have you accomplished less than you would like with your work or other regular activities as a result of any emotional problems, such as feeling depressed or anxious?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health6_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 114 130 244
-27 NOT ASKED OF PROXY 13 14 27
1 YES 184 268 452
2 NO 2167 2501 4668

jx404rer: During the past 4 weeks, did you do work or other activities less carefully than usual as a result of any emotional problems, such as feeling depressed or anxious?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health6_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 119 144 263
-27 NOT ASKED OF PROXY 13 14 27
-1 DON'T KNOW 0 1 1
1 YES 117 167 284
2 NO 2229 2587 4816

jx405rer: During the past 4 weeks, how much did pain interfere with your normal work, including both work outside the home and housework?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 115 124 239
-4 NOT ASCERTAINED 5 5 10
1 NOT AT ALL 1158 1250 2408
2 A LITTLE BIT 736 849 1585
3 MODERATELY 301 431 732
4 QUITE A BIT 142 218 360
5 EXTREMELY 21 36 57

jx406rer: During the past 4 weeks, how much of the time have you felt calm and peaceful?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health8_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 118 128 246
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 0 2 2
1 ALL OF THE TIME 400 316 716
2 MOST OF THE TIME 1453 1659 3112
3 A GOOD BIT OF THE TIME 270 452 722
4 SOME OF THE TIME 164 246 410
5 A LITTLE OF THE TIME 37 75 112
6 NONE OF THE TIME 23 21 44

jx407rer: During the past 4 weeks, how much of the time did you have a lot of energy?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health8_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 118 124 242
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 2 1 3
1 ALL OF THE TIME 171 174 345
2 MOST OF THE TIME 995 1189 2184
3 A GOOD BIT OF THE TIME 612 631 1243
4 SOME OF THE TIME 387 527 914
5 A LITTLE OF THE TIME 137 187 324
6 NONE OF THE TIME 43 66 109

jx408rer: During the past 4 weeks, how much of the time have you felt downhearted and blue?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health8_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 114 128 242
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 0 1 1
1 ALL OF THE TIME 22 18 40
2 MOST OF THE TIME 18 34 52
3 A GOOD BIT OF THE TIME 48 72 120
4 SOME OF THE TIME 179 289 468
5 A LITTLE OF THE TIME 757 1037 1794
6 NONE OF THE TIME 1327 1320 2647

jx409rer: During the past 4 weeks, how much of the time has your physical health or emotional problems interfered with your social activities, like visiting friends, relatives, etc.?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 130 127 257
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 1 1 2
1 ALL OF THE TIME 29 25 54
2 MOST OF THE TIME 36 51 87
3 SOME OF THE TIME 182 259 441
4 A LITTLE OF THE TIME 301 376 677
5 NONE OF THE TIME 1786 2060 3846

jx082rec: Total number of reported physical symptoms.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_:1-25

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-2 113 111 224
0 - 3 598 567 1165
4 - 6 520 588 1108
7 - 10 571 707 1278
11 - 15 471 592 1063
16 - 25 205 348 553
Note: The participant may report having experienced up to 25 possible physical symptoms within the last 6 months.

jx082red: Number of physical symptom items answered.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_:1-25

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
0 NO ITEMS ANSWERED WITH A VALID RESPONSE 113 111 224
1 - 23 76 111 187
24 190 278 468
25 ALL ITEMS ANSWERED WITH A VALID RESPONSE 2099 2413 4512
Note: There are 25 total physical symptom items.

jx124rer: Have you had coughing/wheezing in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 137 150 287
-4 NOT ASCERTAINED 0 1 1
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 867 1035 1902
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1474 1727 3201

jx125rer: How often have you had coughing/wheezing in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 137 150 287
-4 NOT ASCERTAINED 0 1 1
1 HAVE NOT HAD 1474 1727 3201
2 MONTHLY OR LESS OFTEN 409 476 885
3 ABOUT ONCE A WEEK 217 224 441
4 DAILY OR MORE OFTEN 241 335 576

jx126rer: How much discomfort has coughing/wheezing caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 150 158 308
-4 NOT ASCERTAINED 2 1 3
-2 1474 1727 3201
1 NONE 256 297 553
2 A LITTLE 403 438 841
3 SOME 162 214 376
4 A LOT 31 78 109

jx067rer: Have you had chest pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 166 180 346
-4 NOT ASCERTAINED 0 1 1
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 236 243 479
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 2076 2489 4565

jx068rer: How often have you had chest pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 166 180 346
-4 NOT ASCERTAINED 0 1 1
1 HAVE NOT HAD 2076 2489 4565
2 MONTHLY OR LESS OFTEN 174 165 339
3 ABOUT ONCE A WEEK 49 53 102
4 DAILY OR MORE OFTEN 13 25 38

jx069rer: How much discomfort has chest pain caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 164 320
-4 NOT ASCERTAINED 1 0 1
-2 2076 2489 4565
1 NONE 52 49 101
2 A LITTLE 145 134 279
3 SOME 36 64 100
4 A LOT 12 13 25

jx139rer: Have you had palpitations, feeling your heart pound or race, in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 127 128 255
-4 NOT ASCERTAINED 0 1 1
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 325 545 870
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 2026 2239 4265

jx140rer: How often have you had palpitations, feeling your heart pound or race, in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 127 128 255
-4 NOT ASCERTAINED 0 1 1
1 HAVE NOT HAD 2026 2239 4265
2 MONTHLY OR LESS OFTEN 228 397 625
3 ABOUT ONCE A WEEK 69 105 174
4 DAILY OR MORE OFTEN 28 43 71

jx141rer: How much discomfort have palpitations, feeling your heart pound or race, caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 128 135 263
-4 NOT ASCERTAINED 1 4 5
-2 2026 2239 4265
1 NONE 110 181 291
2 A LITTLE 153 286 439
3 SOME 52 58 110
4 A LOT 8 10 18

jx070rer: Have you had shortness of breath in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 144 137 281
-4 NOT ASCERTAINED 1 1 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 771 837 1608
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1562 1938 3500

jx071rer: How often have you had shortness of breath in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 144 137 281
-4 NOT ASCERTAINED 1 1 2
1 HAVE NOT HAD 1562 1938 3500
2 MONTHLY OR LESS OFTEN 458 430 888
3 ABOUT ONCE A WEEK 155 220 375
4 DAILY OR MORE OFTEN 158 187 345

jx072rer: How much discomfort has shortness of breath caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 154 152 306
-4 NOT ASCERTAINED 1 1 2
-2 1562 1938 3500
1 NONE 150 145 295
2 A LITTLE 402 423 825
3 SOME 147 181 328
4 A LOT 62 73 135

jx031rer: Have you had dizziness/faintness in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 136 141 277
-4 NOT ASCERTAINED 2 1 3
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 507 534 1041
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1833 2237 4070

jx032rer: How often have you had dizziness/faintness in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 136 141 277
-4 NOT ASCERTAINED 2 1 3
1 HAVE NOT HAD 1833 2237 4070
2 MONTHLY OR LESS OFTEN 366 385 751
3 ABOUT ONCE A WEEK 101 100 201
4 DAILY OR MORE OFTEN 40 49 89

jx033rer: How much discomfort has dizziness/faintness caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 140 147 287
-4 NOT ASCERTAINED 1 3 4
-2 1833 2237 4070
1 NONE 106 115 221
2 A LITTLE 302 293 595
3 SOME 82 97 179
4 A LOT 14 21 35

jx073rer: Have you had excessive sweating in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 140 146 286
-4 NOT ASCERTAINED 2 0 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 333 467 800
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 2003 2300 4303

jx074rer: How often have you had excessive sweating in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 140 146 286
-4 NOT ASCERTAINED 2 0 2
1 HAVE NOT HAD 2003 2300 4303
2 MONTHLY OR LESS OFTEN 202 231 433
3 ABOUT ONCE A WEEK 84 112 196
4 DAILY OR MORE OFTEN 47 124 171

jx075rer: How much discomfort has excessive sweating caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 143 149 292
-4 NOT ASCERTAINED 1 0 1
-2 2003 2300 4303
1 NONE 99 81 180
2 A LITTLE 156 217 373
3 SOME 59 104 163
4 A LOT 17 62 79

jx201rer: Have you had foot pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 126 138 264
-4 NOT ASCERTAINED 2 3 5
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 760 1139 1899
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1590 1633 3223

jx202rer: How often have you had foot pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 126 138 264
-4 NOT ASCERTAINED 2 3 5
1 HAVE NOT HAD 1590 1633 3223
2 MONTHLY OR LESS OFTEN 330 452 782
3 ABOUT ONCE A WEEK 193 282 475
4 DAILY OR MORE OFTEN 237 405 642

jx203rer: How much discomfort has foot pain caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 144 163 307
-4 NOT ASCERTAINED 3 4 7
-2 1590 1633 3223
1 NONE 47 60 107
2 A LITTLE 361 494 855
3 SOME 245 346 591
4 A LOT 88 213 301

jx204rer: Have you had hip pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 152 298
-4 NOT ASCERTAINED 1 2 3
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 740 1030 1770
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1591 1729 3320

jx205rer: How often have you had hip pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 152 298
-4 NOT ASCERTAINED 1 2 3
1 HAVE NOT HAD 1591 1729 3320
2 MONTHLY OR LESS OFTEN 328 463 791
3 ABOUT ONCE A WEEK 228 267 495
4 DAILY OR MORE OFTEN 184 300 484

jx206rer: How much discomfort has hip pain caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 159 168 327
-4 NOT ASCERTAINED 0 2 2
-2 1591 1729 3320
1 NONE 46 60 106
2 A LITTLE 360 474 834
3 SOME 229 327 556
4 A LOT 93 153 246

jx064rer: Have you had back pain/strain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 135 143 278
-4 NOT ASCERTAINED 2 3 5
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 1204 1553 2757
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1137 1214 2351

jx065rer: How often have you had back pain/strain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 135 143 278
-4 NOT ASCERTAINED 2 3 5
1 HAVE NOT HAD 1137 1214 2351
2 MONTHLY OR LESS OFTEN 608 689 1297
3 ABOUT ONCE A WEEK 302 407 709
4 DAILY OR MORE OFTEN 294 457 751

jx066rer: How much discomfort has back pain/strain caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 161 186 347
-4 NOT ASCERTAINED 2 4 6
-2 1137 1214 2351
1 NONE 65 48 113
2 A LITTLE 600 703 1303
3 SOME 359 492 851
4 A LOT 154 266 420

jx121rer: Have you had bone pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_10

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 167 168 335
-4 NOT ASCERTAINED 1 1 2
-1 DON'T KNOW 2 0 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 528 871 1399
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1780 1873 3653

jx122rer: How often have you had bone pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_10

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 167 168 335
-4 NOT ASCERTAINED 1 1 2
-1 DON'T KNOW 2 0 2
1 HAVE NOT HAD 1780 1873 3653
2 MONTHLY OR LESS OFTEN 253 385 638
3 ABOUT ONCE A WEEK 147 223 370
4 DAILY OR MORE OFTEN 128 263 391

jx123rer: How much discomfort has bone pain caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_10

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 178 184 362
-4 NOT ASCERTAINED 2 0 2
-2 1780 1873 3653
-1 DON'T KNOW 1 0 1
1 NONE 52 54 106
2 A LITTLE 254 400 654
3 SOME 153 259 412
4 A LOT 58 143 201

jx130rer: Have you had neck and/or shoulder pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_11

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 133 127 260
-4 NOT ASCERTAINED 1 2 3
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 1006 1296 2302
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1338 1488 2826

jx131rer: How often have you had neck and/or shoulder pain in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_11

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 133 127 260
-4 NOT ASCERTAINED 1 2 3
1 HAVE NOT HAD 1338 1488 2826
2 MONTHLY OR LESS OFTEN 480 595 1075
3 ABOUT ONCE A WEEK 266 377 643
4 DAILY OR MORE OFTEN 260 324 584

jx132rer: How much discomfort has neck and/or shoulder pain caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_11

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 153 151 304
-2 1338 1488 2826
1 NONE 68 46 114
2 A LITTLE 475 656 1131
3 SOME 327 391 718
4 A LOT 117 181 298

jx136rer: Have you had pain in your ankles/knees in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_12

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 133 121 254
-4 NOT ASCERTAINED 1 1 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 1061 1415 2476
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1283 1376 2659

jx137rer: How often have you had pain in your ankles/knees in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_12

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 133 121 254
-4 NOT ASCERTAINED 1 1 2
1 HAVE NOT HAD 1283 1376 2659
2 MONTHLY OR LESS OFTEN 421 573 994
3 ABOUT ONCE A WEEK 284 348 632
4 DAILY OR MORE OFTEN 356 494 850

jx138rer: How much discomfort has pain in your ankles/knees caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_12

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 158 158 316
-4 NOT ASCERTAINED 2 3 5
-2 1283 1376 2659
1 NONE 54 66 120
2 A LITTLE 475 623 1098
3 SOME 356 425 781
4 A LOT 150 262 412

jx133rer: Have you had pain in your hands/wrists in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_13

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 134 126 260
-4 NOT ASCERTAINED 0 4 4
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 809 1211 2020
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1535 1572 3107

jx134rer: How often have you had pain in your hands/wrists in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_13

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 134 126 260
-4 NOT ASCERTAINED 0 4 4
1 HAVE NOT HAD 1535 1572 3107
2 MONTHLY OR LESS OFTEN 378 529 907
3 ABOUT ONCE A WEEK 207 345 552
4 DAILY OR MORE OFTEN 224 337 561

jx135rer: How much discomfort has pain in your hands/wrists caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_13

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 155 164 319
-4 NOT ASCERTAINED 2 3 5
-2 1535 1572 3107
1 NONE 63 56 119
2 A LITTLE 408 596 1004
3 SOME 233 365 598
4 A LOT 82 157 239

jx058rer: Have you had aching muscles in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_14

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 148 304
-4 NOT ASCERTAINED 0 1 1
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 1176 1408 2584
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1146 1356 2502

jx059rer: How often have you had aching muscles in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_14

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 148 304
-4 NOT ASCERTAINED 0 1 1
1 HAVE NOT HAD 1146 1356 2502
2 MONTHLY OR LESS OFTEN 726 776 1502
3 ABOUT ONCE A WEEK 298 361 659
4 DAILY OR MORE OFTEN 152 271 423

jx060rer: How much discomfort have aching muscles caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_14

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 190 197 387
-4 NOT ASCERTAINED 2 2 4
-2 1146 1356 2502
1 NONE 131 90 221
2 A LITTLE 700 764 1464
3 SOME 250 357 607
4 A LOT 59 147 206

jx061rer: Have you had stiff/swollen joints in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 141 140 281
-4 NOT ASCERTAINED 1 3 4
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 677 1089 1766
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1659 1681 3340

jx062rer: How often have you had stiff/swollen joints in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 141 140 281
-4 NOT ASCERTAINED 1 3 4
1 HAVE NOT HAD 1659 1681 3340
2 MONTHLY OR LESS OFTEN 342 487 829
3 ABOUT ONCE A WEEK 171 277 448
4 DAILY OR MORE OFTEN 164 325 489

jx063rer: How much discomfort have stiff/swollen joints caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 162 318
-4 NOT ASCERTAINED 3 1 4
-2 1659 1681 3340
1 NONE 56 76 132
2 A LITTLE 351 532 883
3 SOME 187 306 493
4 A LOT 66 155 221

jx207rer: Have you had foot or leg swelling in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_16

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 142 140 282
-4 NOT ASCERTAINED 1 2 3
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 476 785 1261
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1859 1986 3845

jx208rer: How often have you had foot or leg swelling in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_16

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 142 140 282
-4 NOT ASCERTAINED 1 2 3
1 HAVE NOT HAD 1859 1986 3845
2 MONTHLY OR LESS OFTEN 236 371 607
3 ABOUT ONCE A WEEK 89 185 274
4 DAILY OR MORE OFTEN 151 229 380

jx209rer: How much discomfort has foot or leg swelling caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_16

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 159 315
-4 NOT ASCERTAINED 1 0 1
-2 1859 1986 3845
1 NONE 89 136 225
2 A LITTLE 207 342 549
3 SOME 108 190 298
4 A LOT 58 100 158

jx046rer: Have you had an upset stomach in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_17

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 130 131 261
-4 NOT ASCERTAINED 1 2 3
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 617 801 1418
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1730 1979 3709

jx047rer: How often have you had an upset stomach in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_17

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 130 131 261
-4 NOT ASCERTAINED 1 2 3
1 HAVE NOT HAD 1730 1979 3709
2 MONTHLY OR LESS OFTEN 456 558 1014
3 ABOUT ONCE A WEEK 129 187 316
4 DAILY OR MORE OFTEN 32 56 88

jx048rer: How much discomfort has an upset stomach caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_17

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 149 139 288
-4 NOT ASCERTAINED 1 1 2
-2 1730 1979 3709
1 NONE 87 76 163
2 A LITTLE 379 518 897
3 SOME 112 155 267
4 A LOT 20 45 65

jx049rer: Have you had constipation in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_18

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 138 134 272
-4 NOT ASCERTAINED 1 0 1
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 507 817 1324
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1832 1962 3794

jx050rer: How often have you had constipation in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_18

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 138 134 272
-4 NOT ASCERTAINED 1 0 1
1 HAVE NOT HAD 1832 1962 3794
2 MONTHLY OR LESS OFTEN 356 508 864
3 ABOUT ONCE A WEEK 119 220 339
4 DAILY OR MORE OFTEN 32 89 121

jx051rer: How much discomfort has constipation caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_18

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 155 311
-4 NOT ASCERTAINED 1 0 1
-2 1832 1962 3794
1 NONE 81 100 181
2 A LITTLE 289 452 741
3 SOME 92 182 274
4 A LOT 27 62 89

jx052rer: Have you had diarrhea in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_19

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 134 133 267
-4 NOT ASCERTAINED 3 5 8
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 517 708 1225
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1824 2067 3891

jx053rer: How often have you had diarrhea in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_19

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 134 133 267
-4 NOT ASCERTAINED 3 5 8
1 HAVE NOT HAD 1824 2067 3891
2 MONTHLY OR LESS OFTEN 408 499 907
3 ABOUT ONCE A WEEK 82 143 225
4 DAILY OR MORE OFTEN 27 66 93

jx054rer: How much discomfort has diarrhea caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_19

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 143 139 282
-4 NOT ASCERTAINED 2 1 3
-2 1824 2067 3891
1 NONE 122 103 225
2 A LITTLE 297 400 697
3 SOME 68 137 205
4 A LOT 22 66 88

jx022rer: Have you had fatigue/exhaustion in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_20

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 141 143 284
-4 NOT ASCERTAINED 1 1 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 983 1439 2422
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1353 1330 2683

jx023rer: How often have you had fatigue/exhaustion in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_20

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 141 143 284
-4 NOT ASCERTAINED 1 1 2
1 HAVE NOT HAD 1353 1330 2683
2 MONTHLY OR LESS OFTEN 627 802 1429
3 ABOUT ONCE A WEEK 252 438 690
4 DAILY OR MORE OFTEN 104 199 303

jx024rer: How much discomfort has fatigue/exhaustion caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_20

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 172 184 356
-4 NOT ASCERTAINED 2 5 7
-2 1353 1330 2683
1 NONE 145 193 338
2 A LITTLE 534 713 1247
3 SOME 209 360 569
4 A LOT 63 128 191

jx025rer: Have you had headaches in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_21

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 133 127 260
-4 NOT ASCERTAINED 3 6 9
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 591 966 1557
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1751 1814 3565

jx026rer: How often have you had headaches in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_21

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 133 127 260
-4 NOT ASCERTAINED 3 6 9
1 HAVE NOT HAD 1751 1814 3565
2 MONTHLY OR LESS OFTEN 436 692 1128
3 ABOUT ONCE A WEEK 119 213 332
4 DAILY OR MORE OFTEN 36 61 97

jx027rer: How much discomfort have headaches caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_21

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 152 298
-4 NOT ASCERTAINED 1 4 5
-2 1751 1814 3565
1 NONE 111 105 216
2 A LITTLE 352 597 949
3 SOME 95 190 285
4 A LOT 22 51 73

jx016rer: Have you had a lack of energy in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_22

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 142 132 274
-4 NOT ASCERTAINED 2 0 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 1295 1712 3007
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1039 1069 2108

jx017rer: How often have you had a lack of energy in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_22

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 142 132 274
-4 NOT ASCERTAINED 2 0 2
1 HAVE NOT HAD 1039 1069 2108
2 MONTHLY OR LESS OFTEN 814 974 1788
3 ABOUT ONCE A WEEK 332 468 800
4 DAILY OR MORE OFTEN 149 270 419

jx018rer: How much discomfort has lack of energy caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_22

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 191 192 383
-2 1039 1069 2108
1 NONE 260 310 570
2 A LITTLE 660 801 1461
3 SOME 249 375 624
4 A LOT 79 166 245

jx034rer: Have you had numbness in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_23

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 136 141 277
-4 NOT ASCERTAINED 1 1 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 497 535 1032
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1844 2236 4080

jx035rer: How often have you had numbness in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_23

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 136 141 277
-4 NOT ASCERTAINED 1 1 2
1 HAVE NOT HAD 1844 2236 4080
2 MONTHLY OR LESS OFTEN 261 247 508
3 ABOUT ONCE A WEEK 103 112 215
4 DAILY OR MORE OFTEN 133 176 309

jx036rer: How much discomfort has numbness caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_23

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 152 138 290
-2 1844 2236 4080
1 NONE 85 84 169
2 A LITTLE 264 251 515
3 SOME 93 120 213
4 A LOT 40 84 124

jx037rer: Have you had ringing in the ears in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_24

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 131 130 261
-4 NOT ASCERTAINED 2 0 2
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 863 701 1564
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1482 2082 3564

jx038rer: How often have you had ringing in the ears in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_24

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 131 130 261
-4 NOT ASCERTAINED 2 0 2
1 HAVE NOT HAD 1482 2082 3564
2 MONTHLY OR LESS OFTEN 236 242 478
3 ABOUT ONCE A WEEK 143 108 251
4 DAILY OR MORE OFTEN 484 351 835

jx039rer: How much discomfort has ringing in the ears caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_24

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 150 137 287
-4 NOT ASCERTAINED 1 1 2
-2 1482 2082 3564
1 NONE 256 215 471
2 A LITTLE 301 258 559
3 SOME 184 138 322
4 A LOT 104 82 186

jx079rer: Have you had skin problems in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_25

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 134 128 262
-1 DON'T KNOW 1 0 1
1 HAVE HAD SYMPTOM IN PAST 6 MONTHS 672 622 1294
2 HAVE NOT HAD SYMPTOM IN PAST 6 MONTHS 1671 2163 3834

jx080rer: How often have you had skin problems in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10a_25

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 134 128 262
-1 DON'T KNOW 1 0 1
1 HAVE NOT HAD 1671 2163 3834
2 MONTHLY OR LESS OFTEN 390 351 741
3 ABOUT ONCE A WEEK 118 95 213
4 DAILY OR MORE OFTEN 164 176 340

jx081rer: How much discomfort have skin problems caused you in the past 6 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health10b_25

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 138 136 274
-4 NOT ASCERTAINED 2 0 2
-2 1671 2163 3834
-1 DON'T KNOW 1 0 1
1 NONE 168 133 301
2 A LITTLE 327 285 612
3 SOME 120 125 245
4 A LOT 51 71 122

jx117rec: Total number of reported diagnosed illnesses.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_:1-15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-2 90 88 178
0 NONE 414 292 706
1 702 559 1261
2 592 665 1257
3 326 514 840
4 197 356 553
5 93 215 308
6 30 85 115
7 11 68 79
8 7 26 33
9 6 25 31
10 1 11 12
11 1 2 3
12 2 2 4
13 5 2 7
14 0 3 3
15 1 0 1
Note: The participant may report having been diagnosed with up to 15 possible illnesses or conditions.

jx117red: Number of illness items answered.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_:1-15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
0 NO ITEMS ANSWERED WITH A VALID RESPONSE 90 88 178
1 16 20 36
2 9 20 29
3 2 15 17
4 1 12 13
5 2 6 8
6 1 1 2
7 1 3 4
8 0 2 2
9 0 2 2
11 3 4 7
12 7 11 18
13 29 57 86
14 285 356 641
15 ALL ITEMS ANSWERED WITH A VALID RESPONSE 2032 2316 4348
Note: There are 15 total illness items.

jx109rer: Has a medical professional ever said that you have allergies?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 276 359 635
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-1 DON'T KNOW 0 2 2
1 YES 577 1088 1665
2 NO 1624 1463 3087

jx109are: How old were you when you were first diagnosed with allergies?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_1, y_hh11anw_1r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 350 499 849
-4 NOT ASCERTAINED 4 21 25
-3 REFUSED 1 0 1
-2 1624 1463 3087
-1 DON'T KNOW 9 33 42
0 - 15 132 157 289
16 - 30 116 218 334
31 - 50 90 248 338
51 - 65 109 198 307
66 - 79 43 76 119

jx110rer: How much do your allergies currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 276 410 686
-4 NOT ASCERTAINED 1 2 3
-3 REFUSED 1 0 1
-2 1624 1463 3087
1 NOT AT ALL 304 508 812
2 VERY LITTLE 162 293 455
3 SOME 85 177 262
4 QUITE A BIT 17 35 52
5 A GREAT DEAL 8 25 33

jx410rer: What type of allergies do you have? - First response.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_1, c_y_health11_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-4 NOT ASCERTAINED 92 145 237
-2 1901 1825 3726
-1 DON'T KNOW 5 7 12
1 SEASONAL 19 57 76
2 ANIMAL DANDER 3 3 6
3 POLLEN 48 65 113
4 RAGWEED 12 8 20
5 TREES 11 10 21
6 DUST 30 58 88
7 MOLD 12 35 47
8 SMOKE 1 9 10
9 SPECIFIC DRUG(S) 139 314 453
10 SPECIFIC FOOD(S) 36 50 86
11 GRASS 6 10 16
12 OTHER 14 42 56
14 HAYFEVER 68 68 136
15 UNSPECIFIED FOOD(S) 3 17 20
16 UNSPECIFIED DRUG(S)/MEDICATION(S) 7 56 63
17 BEES / BEE STINGS 14 15 29
20 ANIMAL(S) 12 18 30
21 ENVIRONMENTAL 10 32 42
22 MULTIPLE TYPES 23 46 69
23 NON-ALLERGY 12 23 35
Note: In some cases the participant provided more than one type of allergy that they had. Only the first response has been recorded.

jx085rer: Has a medical professional ever said that you have asthma?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 196 342
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
1 YES 167 325 492
2 NO 2164 2391 4555

jx085are: How old were you when you were first diagnosed with asthma?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_2, y_hh11anw_2r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 164 244 408
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 2164 2391 4555
-1 DON'T KNOW 2 2 4
1 - 10 44 47 91
12 - 40 29 71 100
42 - 55 27 65 92
56 - 65 29 59 88
66 - 73 18 33 51

jx086rer: How much does your asthma currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 140 203 343
-4 NOT ASCERTAINED 1 0 1
-3 REFUSED 1 0 1
-2 2164 2391 4555
1 NOT AT ALL 62 101 163
2 VERY LITTLE 52 92 144
3 SOME 38 94 132
4 QUITE A BIT 12 21 33
5 A GREAT DEAL 8 11 19

jx211rer: Has a medical professional ever said that you have arthritis/rheumatism?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 145 167 312
-4 NOT ASCERTAINED 2 2 4
-3 REFUSED 1 0 1
1 YES 917 1493 2410
2 NO 1413 1251 2664

jx211are: How old were you when you were first diagnosed with arthritis/rheumatism?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_3, y_hh11anw_3r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 281 385 666
-3 REFUSED 1 0 1
-2 1413 1251 2664
-1 DON'T KNOW 10 19 29
4 - 50 220 399 619
51 - 60 251 372 623
61 - 66 167 259 426
67 - 76 135 228 363

jx212rer: How much does your arthritis/rheumatism currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 170 240 410
-4 NOT ASCERTAINED 4 3 7
-3 REFUSED 1 0 1
-2 1413 1251 2664
1 NOT AT ALL 133 203 336
2 VERY LITTLE 299 439 738
3 SOME 340 508 848
4 QUITE A BIT 85 198 283
5 A GREAT DEAL 33 71 104

jx089rer: Has a medical professional ever said that you have chronic bronchitis/emphysema?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 150 205 355
-4 NOT ASCERTAINED 1 0 1
-3 REFUSED 1 0 1
-1 DON'T KNOW 0 1 1
1 YES 177 250 427
2 NO 2149 2457 4606

jx089are: How old were you when you were first diagnosed with chronic bronchitis/emphysema?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_4, y_hh11anw_4r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 190 257 447
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 2149 2457 4606
-1 DON'T KNOW 1 4 5
0 - 44 22 45 67
45 - 55 30 37 67
56 - 63 34 32 66
64 - 68 29 43 72
69 - 74 22 37 59

jx090rer: How much does your chronic bronchitis/emphysema currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 155 207 362
-3 REFUSED 1 0 1
-2 2149 2457 4606
-1 DON'T KNOW 1 0 1
1 NOT AT ALL 36 54 90
2 VERY LITTLE 42 56 98
3 SOME 45 82 127
4 QUITE A BIT 30 35 65
5 A GREAT DEAL 19 22 41

jx142rer: Has a medical professional ever said that you have chronic sinus problems?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 116 175 291
-4 NOT ASCERTAINED 3 4 7
-3 REFUSED 1 0 1
1 YES 279 455 734
2 NO 2079 2279 4358

jx142are: How old were you when you were first diagnosed with chronic sinus problems?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_5, y_hh11anw_5r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 195 266 461
-3 REFUSED 1 0 1
-2 2079 2279 4358
-1 DON'T KNOW 3 10 13
5 - 24 39 81 120
25 - 40 45 100 145
42 - 54 38 80 118
55 - 65 52 65 117
66 - 74 26 32 58

jx143rer: How much do your chronic sinus problems currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 135 192 327
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 2079 2279 4358
1 NOT AT ALL 63 110 173
2 VERY LITTLE 100 123 223
3 SOME 76 151 227
4 QUITE A BIT 23 46 69
5 A GREAT DEAL 1 11 12

jx144rer: Has a medical professional ever said that you have fibromyalgia?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 149 186 335
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-1 DON'T KNOW 3 2 5
1 YES 29 156 185
2 NO 2296 2568 4864

jx144are: How old were you when you were first diagnosed with fibromyalgia?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_6, y_hh11anw_6r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 163 225 388
-3 REFUSED 1 0 1
-2 2296 2568 4864
-1 DON'T KNOW 1 2 3
25 - 48 2 28 30
49 - 53 1 26 27
54 - 60 4 25 29
62 - 68 4 28 32
69 - 74 6 11 17

jx145rer: How much does your fibromyalgia currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 150 188 338
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 2296 2568 4864
-1 DON'T KNOW 1 0 1
1 NOT AT ALL 15 33 48
2 VERY LITTLE 4 24 28
3 SOME 6 42 48
4 QUITE A BIT 4 35 39
5 A GREAT DEAL 1 22 23

jx146rer: Has a medical professional ever said that you have high cholesterol?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 115 138 253
-4 NOT ASCERTAINED 2 2 4
-3 REFUSED 1 0 1
-1 DON'T KNOW 0 1 1
1 YES 1245 1510 2755
2 NO 1115 1262 2377

jx146are: How old were you when you were first diagnosed with high cholesterol?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_7, y_hh11anw_7r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 326 410 736
-3 REFUSED 1 0 1
-2 1115 1262 2377
-1 DON'T KNOW 6 22 28
0 - 50 308 304 612
51 - 60 373 402 775
61 - 65 191 280 471
66 - 89 158 233 391

jx147rer: How much does your high cholesterol currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 199 355
-4 NOT ASCERTAINED 1 1 2
-3 REFUSED 1 0 1
-2 1115 1262 2377
1 NOT AT ALL 868 1027 1895
2 VERY LITTLE 251 289 540
3 SOME 75 112 187
4 QUITE A BIT 8 18 26
5 A GREAT DEAL 3 5 8

jx148rer: Has a medical professional ever said that you have irritable bowel syndrome?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 144 175 319
-4 NOT ASCERTAINED 0 2 2
-3 REFUSED 1 0 1
1 YES 127 349 476
2 NO 2206 2387 4593

jx148are: How old were you when you were first diagnosed with irritable bowel syndrome?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_8, y_hh11anw_8r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 185 262 447
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 2206 2387 4593
-1 DON'T KNOW 2 7 9
9 - 40 21 75 96
41 - 54 13 56 69
55 - 60 21 57 78
61 - 70 25 58 83
71 - 74 4 10 14

jx149rer: How much does your irritable bowel syndrome currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 148 195 343
-4 NOT ASCERTAINED 1 1 2
-3 REFUSED 1 0 1
-2 2206 2387 4593
1 NOT AT ALL 26 67 93
2 VERY LITTLE 35 83 118
3 SOME 42 117 159
4 QUITE A BIT 16 43 59
5 A GREAT DEAL 3 20 23

jx105rer: Has a medical professional ever said that you have kidney/bladder problems?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 123 167 290
-3 REFUSED 1 0 1
1 YES 325 446 771
2 NO 2029 2300 4329

jx105are: How old were you when you were first diagnosed with kidney/bladder problems?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_9, y_hh11anw_9r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 183 280 463
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 2029 2300 4329
-1 DON'T KNOW 4 8 12
4 - 50 44 89 133
51 - 62 59 70 129
63 - 66 59 58 117
67 - 70 81 79 160
71 - 83 18 28 46

jx106rer: How much do your kidney/bladder problems currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 198 344
-4 NOT ASCERTAINED 2 2 4
-3 REFUSED 1 0 1
-2 2029 2300 4329
1 NOT AT ALL 120 129 249
2 VERY LITTLE 78 97 175
3 SOME 62 112 174
4 QUITE A BIT 30 53 83
5 A GREAT DEAL 10 22 32

jx213rer: Has a medical professional ever said that you have liver disease?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_10

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 123 172 295
-4 NOT ASCERTAINED 1 0 1
-3 REFUSED 1 0 1
1 YES 62 60 122
2 NO 2291 2681 4972

jx213are: How old were you when you were first diagnosed with liver disease?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_10, y_hh11anw_10r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 150 207 357
-3 REFUSED 1 0 1
-2 2291 2681 4972
13 - 35 8 4 12
42 - 55 8 5 13
58 - 65 7 7 14
68 - 70 7 7 14
71 - 73 6 2 8

jx214rer: How much does your liver disease currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_10

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 132 178 310
-4 NOT ASCERTAINED 1 0 1
-3 REFUSED 1 0 1
-2 2291 2681 4972
1 NOT AT ALL 36 39 75
2 VERY LITTLE 7 9 16
3 SOME 3 4 7
4 QUITE A BIT 3 1 4
5 A GREAT DEAL 4 1 5

jx111rer: Has a medical professional ever said that you have multiple sclerosis?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_11

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 122 166 288
-3 REFUSED 1 0 1
-1 DON'T KNOW 0 1 1
1 YES 25 46 71
2 NO 2330 2700 5030

jx111are: How old were you when you were first diagnosed with multiple sclerosis?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_11, y_hh11anw_11r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 141 196 337
-3 REFUSED 1 0 1
-2 2330 2700 5030
20 1 0 1
21 0 1 1
22 0 1 1
23 0 1 1
24 0 1 1
26 0 1 1
28 0 1 1
30 1 0 1
37 0 1 1
43 0 1 1
45 0 1 1
49 0 1 1
50 1 3 4
52 1 0 1
57 1 0 1
58 0 1 1
61 0 1 1
65 0 1 1
66 1 1 2

jx112rer: How much does your multiple sclerosis currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_11

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 129 171 300
-3 REFUSED 1 0 1
-2 2330 2700 5030
1 NOT AT ALL 10 23 33
2 VERY LITTLE 1 2 3
3 SOME 0 5 5
4 QUITE A BIT 4 2 6
5 A GREAT DEAL 3 10 13

jx150rer: Has a medical professional ever said that you have osteoporosis?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_12

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 127 172 299
-4 NOT ASCERTAINED 1 2 3
-3 REFUSED 1 0 1
-1 DON'T KNOW 0 2 2
1 YES 84 651 735
2 NO 2265 2086 4351

jx150are: How old were you when you were first diagnosed with osteoporosis?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_12, y_hh11anw_12r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 156 323 479
-3 REFUSED 1 0 1
-2 2265 2086 4351
-1 DON'T KNOW 1 11 12
20 - 58 8 102 110
59 - 62 12 116 128
63 - 65 11 130 141
66 - 70 20 125 145
71 - 74 4 20 24

jx151rer: How much does your osteoporosis currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_12

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 138 217 355
-4 NOT ASCERTAINED 0 2 2
-3 REFUSED 1 0 1
-2 2265 2086 4351
1 NOT AT ALL 40 282 322
2 VERY LITTLE 18 144 162
3 SOME 9 128 137
4 QUITE A BIT 4 43 47
5 A GREAT DEAL 3 11 14

jx215rer: Has a medical professional ever said that you have Parkinson's Disease?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_13

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 122 168 290
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
1 YES 55 46 101
2 NO 2300 2698 4998

jx215are: How old were you when you were first diagnosed with Parkinson's Disease?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_13, y_hh11anw_13r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 144 203 347
-3 REFUSED 1 0 1
-2 2300 2698 4998
3 - 60 8 4 12
62 - 66 7 4 11
67 - 70 13 3 16
71 - 73 5 1 6

jx216rer: How much does your Parkinson's Disease currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_13

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 130 180 310
-3 REFUSED 1 0 1
-2 2300 2698 4998
1 NOT AT ALL 12 24 36
2 VERY LITTLE 4 1 5
3 SOME 12 1 13
4 QUITE A BIT 9 3 12
5 A GREAT DEAL 10 6 16

jx097rer: Has a medical professional ever said that you have serious back trouble?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_14

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 122 170 292
-4 NOT ASCERTAINED 1 1 2
-3 REFUSED 1 0 1
-1 DON'T KNOW 0 1 1
1 YES 375 480 855
2 NO 1979 2261 4240

jx097are: How old were you when you were first diagnosed with serious back trouble?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_14, y_hh11anw_14r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 208 320 528
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 1979 2261 4240
-1 DON'T KNOW 1 6 7
2 - 35 74 53 127
36 - 50 69 81 150
51 - 60 73 68 141
61 - 68 49 81 130
69 - 73 24 42 66

jx098rer: How much does your serious back trouble currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_14

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 205 351
-4 NOT ASCERTAINED 0 4 4
-3 REFUSED 1 0 1
-2 1979 2261 4240
1 NOT AT ALL 46 47 93
2 VERY LITTLE 54 54 108
3 SOME 114 150 264
4 QUITE A BIT 80 106 186
5 A GREAT DEAL 58 86 144

jx107rer: Has a medical professional ever said that you have an ulcer?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11_15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 130 165 295
-4 NOT ASCERTAINED 0 2 2
-3 REFUSED 1 0 1
1 YES 165 218 383
2 NO 2182 2528 4710

jx107are: How old were you when you were first diagnosed with an ulcer?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11a_15, y_hh11anw_15r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 170 230 400
-4 NOT ASCERTAINED 0 1 1
-3 REFUSED 1 0 1
-2 2182 2528 4710
-1 DON'T KNOW 0 4 4
0 - 26 32 26 58
27 - 40 36 34 70
42 - 54 26 30 56
55 - 67 20 38 58
68 - 73 11 22 33

jx108rer: How much does your ulcer currently interfere with what you like to do?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health11b_15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 137 191 328
-3 REFUSED 1 0 1
-2 2182 2528 4710
1 NOT AT ALL 104 112 216
2 VERY LITTLE 31 43 74
3 SOME 20 32 52
4 QUITE A BIT 2 6 8
5 A GREAT DEAL 1 1 2

jx007rer: During the last year, how many days, if any, did you stay in bed for more than half of the day because of illness or injury?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health12

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 91 98 189
-1 DON'T KNOW 0 2 2
0 NONE 1968 2204 4172
1 - 2 186 254 440
3 - 5 119 167 286
6 - 21 83 128 211
24 - 365 31 60 91
Note: If the participant's answer included a fraction or decimal point, it has been rounded to the nearest whole number.

jxsl03re: How often do you have extreme sleepiness in the daytime when you have to struggle against falling asleep?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health13

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 100 122 222
-4 NOT ASCERTAINED 1 4 5
1 NEVER OR RARELY 1479 1817 3296
2 SOMETIMES 659 708 1367
3 SEVERAL TIMES A WEEK (3-5) 154 157 311
4 EVERY DAY OR ALMOST EVERY DAY 85 105 190

jxsl04re: Have you had extreme sleepiness in the daytime when you have to struggle against falling asleep for a month or more?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health13a

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 120 136 256
-2 1480 1818 3298
1 YES 678 729 1407
2 NO 200 230 430

jxsl11re: On a typical weekday, how many hours of sleep do you usually get, rounded to the nearest half hour?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health14

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 119 111 230
-1 DON'T KNOW 1 2 3
0 - 7 906 1201 2107
7.50 - 8 972 1110 2082
8.50 - 18 480 489 969

jxsl12re: On a typical weekend day, how many hours of sleep do you usually get, rounded to the nearest half hour?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 91 98 189
-1 DON'T KNOW 1 2 3
0 - 7 844 1130 1974
7.50 - 8 1018 1172 2190
8.50 - 18.50 524 511 1035

jxsl05re: Have you ever been told by a doctor or other health professional that you have sleep apnea?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health16

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 92 84 176
-4 NOT ASCERTAINED 1 0 1
1 YES 393 191 584
2 NO 1992 2638 4630

jxsl06re: Have you ever used weight loss as a treatment for your sleep apnea?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health16a_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 188 141 329
-2 1992 2638 4630
-1 DON'T KNOW 1 0 1
1 YES 47 24 71
2 NO 250 110 360

jxsl07re: Have you ever had CPAP/BiPAP as a treatment for your sleep apnea?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health16a_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 97 87 184
-4 NOT ASCERTAINED 1 0 1
-2 1992 2638 4630
-1 DON'T KNOW 3 0 3
1 YES 291 149 440
2 NO 94 39 133

jxsl08re: Have you ever had surgery as a treatment for your sleep apnea?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health16a_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 194 148 342
-2 1992 2638 4630
-1 DON'T KNOW 1 0 1
1 YES 29 5 34
2 NO 262 122 384

jxsl09re: Have you ever used a dental device as a treatment for your sleep apnea?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health16a_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 200 148 348
-2 1992 2638 4630
-1 DON'T KNOW 1 0 1
1 YES 18 11 29
2 NO 267 116 383

jxsl10re: Have you ever used something other than weight loss, CPAP/BiPAP, surgery, or a dental device as a treatment for your sleep apnea?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health16a_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 452 252 704
-2 1992 2638 4630
1 YES 11 13 24
2 NO 23 10 33

jx009rer: How much do you weigh in pounds?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health18

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 79 117 196
-1 DON'T KNOW 0 4 4
59 - 147 103 953 1056
148 - 169 311 729 1040
170 - 189 557 486 1043
190 - 215 723 351 1074
216 - 375 705 273 978
Note: If the participant's answer included a fraction or decimal point, it has been rounded to the nearest whole number.
Note: Bottom-coded at 103 pounds and top-coded at 300 pounds on the public release.

jx010fre: How tall are you: feet component?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health17_1
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 83 84 167
4 1 95 96
5 1838 2716 4554
5.40 0 1 1
6 554 14 568
7 1 0 1
8 1 3 4

jx010ire: How tall are you: inches component?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health17_2
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 150 137 287
-1 DON'T KNOW 0 1 1
0 173 85 258
1 121 227 348
2 106 448 554
3 55 434 489
4 67 441 508
5 62 346 408
6 145 309 454
7 191 210 401
8 312 117 429
9 349 47 396
10 418 45 463
11 292 53 345
12 37 13 50
Note: If the participant's answer included a fraction or decimal point, it has been rounded to the nearest whole inch.

jx010rec: Participant's total height in inches.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health17_1, y_health17_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-4 NOT ASCERTAINED 83 84 167
-1 DON'T KNOW 0 1 1
48 - 63 22 1331 1353
64 - 66 233 1089 1322
67 - 69 843 359 1202
70 - 73 1095 38 1133
74 - 105 202 11 213
Note: The participant's total height has been rounded to the nearest whole inch.
Note: Bottom-coded at 59 inches and top-coded at 76 inches on the public release.

jx011rec: Responent's Body Mass Index based on their reported weight and height.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health18, y_health17_1, y_health17_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-4 NOT ASCERTAINED 86 128 214
-2 0 5 5
11 - 24 405 750 1155
25 - 27 605 652 1257
28 - 30 603 514 1117
31 - 35 558 497 1055
36 - 56 221 367 588
Note: Body Mass Index = Weight(kg) / (Height(m))^2. Rounded to the nearest integer.
Note: Bottom-coded at 19 and top-coded at 48 on the public release.

jxw01rer: Up to the present time and excluding pregnancies, what is the most you have ever weighed in pounds?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health19

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 106 134 240
-1 DON'T KNOW 3 8 11
52 - 160 96 1039 1135
161 - 185 396 729 1125
186 - 210 628 484 1112
211 - 244 742 288 1030
245 - 415 507 231 738
Note: Rounded to nearest whole pound.
Note: Bottom-coded at 116 pounds and top-coded at 335 pounds on the public release.

jxw02rer: How old were you when you weighed the most?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health19a

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 154 215 369
-4 NOT ASCERTAINED 1 0 1
-1 DON'T KNOW 12 30 42
0 - 50 631 536 1167
51 - 64 475 546 1021
65 - 69 563 646 1209
70 - 71 479 696 1175
72 - 90 163 244 407
Note: If the participant's answer included a fraction or decimal point, it has been rounded down to the nearest integer age.

jxw03rer: What is the least you have ever weighed in pounds since you were 18 years old?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health20

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 106 131 237
-1 DON'T KNOW 16 28 44
40 - 116 33 994 1027
117 - 128 131 904 1035
129 - 145 513 616 1129
146 - 170 978 176 1154
172 - 300 701 64 765
Note: Rounded to nearest whole pound.
Note: Bottom-coded at 90 pounds and top-coded at 220 pounds on the public release.

jxw04rer: How old were you when you weighed the least since the age of 18?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health20a, y_hh20anwr

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 131 178 309
-4 NOT ASCERTAINED 1 3 4
-1 DON'T KNOW 26 28 54
2 - 18 735 416 1151
19 - 20 485 540 1025
21 - 25 448 746 1194
26 - 48 300 704 1004
49 - 92 352 298 650
Note: If the participant's answer included a fraction or decimal point, it has been rounded down to the nearest integer age.

jxw20rer: How much did you weigh in pounds when you were about 18 years old, about when you graduated from high school?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health21

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 103 121 224
-1 DON'T KNOW 12 45 57
50 - 118 47 1018 1065
119 - 130 212 1001 1213
131 - 150 652 525 1177
151 - 175 925 135 1060
176 - 285 527 68 595
Note: Rounded to nearest whole pound.
Note: Bottom-coded at 94 pounds and top-coded at 235 pounds on the public release.

jxw05rer: Do you consider yourself now to be overweight, underweight, or about the right weight?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health27

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 60 58 118
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 2 5 7
-1 DON'T KNOW 54 51 105
1 OVERWEIGHT 1351 1864 3215
2 UNDERWEIGHT 57 44 101
3 ABOUT THE RIGHT WEIGHT 941 877 1818

jxw06rer: Are you actively trying to lose weight or maintain a desirable weight?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health28

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 73 79 152
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 4 13 17
1 NOT TRYING TO LOSE/MAINTAIN WEIGHT 915 780 1695
2 YES, TRYING TO LOSE WEIGHT 810 1246 2056
3 YES, TRYING TO MAINTAIN DESIRABLE WEIGHT 663 781 1444

jxw07rer: Are you eating either fewer calories or less fat to lose or maintain your weight?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health29_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 103 113 216
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 1 0 1
-2 915 782 1697
-1 DON'T KNOW 1 0 1
1 YES 1315 1923 3238
2 NO 130 81 211

jxw08rer: Are you using physical activities or exercise to lose or maintain your weight?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health29_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 122 137 259
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 4 1 5
-2 915 782 1697
1 YES 1252 1676 2928
2 NO 172 303 475

jxw09rer: Are you using any pills or laxatives to lose or maintain your weight?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health29_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 192 241 433
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 0 1 1
-2 915 782 1697
1 YES 24 25 49
2 NO 1334 1850 3184

jxw10rer: Are you using methods other than eating fewer calories or less fat, physical activities, exercise, pills or laxatives to lose or maintain your weight?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health29_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 385 515 900
-27 NOT ASKED OF PROXY 13 14 27
-4 NOT ASCERTAINED 0 1 1
-2 915 782 1697
1 YES 130 250 380
2 NO 1035 1351 2386

jxw12rer: What method other than eating fewer calories or less fat, physical activities, exercise, pills or laxatives are you using to lose or maintain your weight?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health29_4, c_y_health29_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-4 NOT ASCERTAINED 5 5 10
-2 2348 2663 5011
1 ATKINS DIET 1 1 2
2 SOUTH BEACH DIET 4 1 5
3 UNSPECIFIED LOW CARB DIET 10 21 31
4 CHANGE IN DIET, WATCHING WHAT IS EATEN 66 92 158
5 EATING FEWER CALORIES 1 1 2
6 EATING LESS FAT 0 1 1
7 PHYSICAL ACTIVITIES/EXERCISE 17 43 60
8 USING PILL(S) OR LAXATIVE(S) 1 8 9
9 WEIGHT WATCHERS 6 42 48
10 OTHER WEIGHT LOSS PROGRAM 5 14 19
11 OTHER 12 12 24
12 MULTIPLE METHODS 2 9 11

jx1301re: How long has it been since you had a complete health exam or physical?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 69 78 147
-4 NOT ASCERTAINED 4 0 4
1 WITHIN PAST YEAR 1899 2302 4201
2 WITHIN PAST 2 YEARS 239 264 503
3 WITHIN PAST 3 YEARS 63 71 134
4 WITHIN PAST 4 YEARS 20 27 47
5 WITHIN PAST 5 YEARS 41 35 76
6 MORE THAN 5 YEARS 116 110 226
7 NEVER 27 26 53

jx1302re: How long has it been since you had a heart or exercise stress test?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 86 100 186
-4 NOT ASCERTAINED 4 7 11
-1 DON'T KNOW 1 1 2
1 WITHIN PAST YEAR 617 562 1179
2 WITHIN PAST 2 YEARS 369 382 751
3 WITHIN PAST 3 YEARS 237 234 471
4 WITHIN PAST 4 YEARS 118 117 235
5 WITHIN PAST 5 YEARS 182 160 342
6 MORE THAN 5 YEARS 429 408 837
7 NEVER 435 942 1377

jx1303re: How long has it been since you had a cholesterol test?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 104 111 215
-4 NOT ASCERTAINED 1 2 3
1 WITHIN PAST YEAR 2009 2312 4321
2 WITHIN PAST 2 YEARS 163 282 445
3 WITHIN PAST 3 YEARS 50 58 108
4 WITHIN PAST 4 YEARS 13 26 39
5 WITHIN PAST 5 YEARS 23 39 62
6 MORE THAN 5 YEARS 70 44 114
7 NEVER 45 39 84

jx1304re: How long has it been since you had a blood pressure check?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 65 68 133
-4 NOT ASCERTAINED 2 1 3
1 WITHIN PAST YEAR 2305 2731 5036
2 WITHIN PAST 2 YEARS 61 79 140
3 WITHIN PAST 3 YEARS 6 10 16
4 WITHIN PAST 4 YEARS 5 6 11
5 WITHIN PAST 5 YEARS 6 7 13
6 MORE THAN 5 YEARS 23 7 30
7 NEVER 5 4 9

jx1305re: How long has it been since you had a flu shot?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 92 101 193
-4 NOT ASCERTAINED 11 7 18
1 WITHIN PAST YEAR 1779 2110 3889
2 WITHIN PAST 2 YEARS 111 159 270
3 WITHIN PAST 3 YEARS 33 38 71
4 WITHIN PAST 4 YEARS 22 25 47
5 WITHIN PAST 5 YEARS 19 13 32
6 MORE THAN 5 YEARS 142 127 269
7 NEVER 269 333 602

jx1306re: How long has it been since you visited a chiropractor?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 101 92 193
-4 NOT ASCERTAINED 13 7 20
1 WITHIN PAST YEAR 357 515 872
2 WITHIN PAST 2 YEARS 111 127 238
3 WITHIN PAST 3 YEARS 89 77 166
4 WITHIN PAST 4 YEARS 60 65 125
5 WITHIN PAST 5 YEARS 65 83 148
6 MORE THAN 5 YEARS 618 597 1215
7 NEVER 1064 1350 2414

jx1307re: How long has it been since you had an eye examination?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 85 99 184
-4 NOT ASCERTAINED 12 16 28
1 WITHIN PAST YEAR 1590 2029 3619
2 WITHIN PAST 2 YEARS 398 511 909
3 WITHIN PAST 3 YEARS 167 131 298
4 WITHIN PAST 4 YEARS 55 33 88
5 WITHIN PAST 5 YEARS 61 36 97
6 MORE THAN 5 YEARS 90 47 137
7 NEVER 20 11 31

jx1308re: How long has it been since you had your hearing checked?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 96 118 214
-4 NOT ASCERTAINED 4 4 8
-1 DON'T KNOW 1 1 2
1 WITHIN PAST YEAR 567 458 1025
2 WITHIN PAST 2 YEARS 263 230 493
3 WITHIN PAST 3 YEARS 208 201 409
4 WITHIN PAST 4 YEARS 108 102 210
5 WITHIN PAST 5 YEARS 151 135 286
6 MORE THAN 5 YEARS 659 656 1315
7 NEVER 421 1008 1429

jx1309re: How long has it been since you had a Bone Mass or Bone Density Measurement test for osteoporosis?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 95 73 168
-4 NOT ASCERTAINED 3 9 12
-1 DON'T KNOW 3 1 4
1 WITHIN PAST YEAR 165 842 1007
2 WITHIN PAST 2 YEARS 100 698 798
3 WITHIN PAST 3 YEARS 75 365 440
4 WITHIN PAST 4 YEARS 47 161 208
5 WITHIN PAST 5 YEARS 51 202 253
6 MORE THAN 5 YEARS 118 261 379
7 NEVER 1821 301 2122

jx1310re: How long has it been since you had a sigmoidoscopy or colonoscopy?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_10

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 83 76 159
-4 NOT ASCERTAINED 2 7 9
1 WITHIN PAST YEAR 442 516 958
2 WITHIN PAST 2 YEARS 483 522 1005
3 WITHIN PAST 3 YEARS 406 470 876
4 WITHIN PAST 4 YEARS 186 207 393
5 WITHIN PAST 5 YEARS 278 355 633
6 MORE THAN 5 YEARS 305 339 644
7 NEVER 293 421 714

jx1311re: How long has it been since you had a blood stool test using a special kit or cards to determine whether the stool contains blood?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_11

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 88 90 178
-4 NOT ASCERTAINED 3 5 8
-1 DON'T KNOW 0 3 3
1 WITHIN PAST YEAR 503 532 1035
2 WITHIN PAST 2 YEARS 319 341 660
3 WITHIN PAST 3 YEARS 205 255 460
4 WITHIN PAST 4 YEARS 107 143 250
5 WITHIN PAST 5 YEARS 216 226 442
6 MORE THAN 5 YEARS 443 609 1052
7 NEVER 594 709 1303

jx1312re: How long has it been since you had a shot for pneumonia?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_12

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 95 89 184
-4 NOT ASCERTAINED 4 11 15
-1 DON'T KNOW 1 3 4
1 WITHIN PAST YEAR 506 591 1097
2 WITHIN PAST 2 YEARS 414 543 957
3 WITHIN PAST 3 YEARS 307 372 679
4 WITHIN PAST 4 YEARS 101 161 262
5 WITHIN PAST 5 YEARS 165 231 396
6 MORE THAN 5 YEARS 221 242 463
7 NEVER 664 670 1334

jx1313re: How long has it been since you had a dental check-up?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_13

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 139 181 320
-4 NOT ASCERTAINED 1 5 6
1 WITHIN PAST YEAR 1751 2151 3902
2 WITHIN PAST 2 YEARS 163 185 348
3 WITHIN PAST 3 YEARS 86 88 174
4 WITHIN PAST 4 YEARS 52 34 86
5 WITHIN PAST 5 YEARS 68 38 106
6 MORE THAN 5 YEARS 193 188 381
7 NEVER 25 43 68

jx1314re: How long has it been since you had a prostate specific antigen, or PSA test?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_14

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 77 113 190
-4 NOT ASCERTAINED 1 0 1
-2 0 2797 2797
-1 DON'T KNOW 2 0 2
1 WITHIN PAST YEAR 1665 0 1665
2 WITHIN PAST 2 YEARS 288 0 288
3 WITHIN PAST 3 YEARS 106 0 106
4 WITHIN PAST 4 YEARS 36 0 36
5 WITHIN PAST 5 YEARS 45 0 45
6 MORE THAN 5 YEARS 73 1 74
7 NEVER 185 2 187
Note: Only male participants were instructed to answer JX1314RE. For female participants, JX1314RE has a value of -2.

jx1315re: How long has it been since you had a mammogram?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_15

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 69 167 236
-4 NOT ASCERTAINED 0 2 2
-2 2409 0 2409
1 WITHIN PAST YEAR 0 2006 2006
2 WITHIN PAST 2 YEARS 0 341 341
3 WITHIN PAST 3 YEARS 0 113 113
4 WITHIN PAST 4 YEARS 0 41 41
5 WITHIN PAST 5 YEARS 0 54 54
6 MORE THAN 5 YEARS 0 120 120
7 NEVER 0 69 69
Note: Only female participants were instructed to answer JX1315RE. For male participants, JX1315RE has a value of -2.

jx1316re: How long has it been since you did a breast self-exam?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_16

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 69 120 189
-2 2409 0 2409
-1 DON'T KNOW 0 1 1
1 WITHIN PAST YEAR 0 2277 2277
2 WITHIN PAST 2 YEARS 0 155 155
3 WITHIN PAST 3 YEARS 0 58 58
4 WITHIN PAST 4 YEARS 0 24 24
5 WITHIN PAST 5 YEARS 0 36 36
6 MORE THAN 5 YEARS 0 79 79
7 NEVER 0 163 163
Note: Only female participants were instructed to answer JX1316RE. For male participants, JX1316RE has a value of -2.

jx1317re: How long has it been since you had a doctor or other health professional perform a breast exam?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_17

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 69 89 158
-2 2409 0 2409
1 WITHIN PAST YEAR 0 2002 2002
2 WITHIN PAST 2 YEARS 0 318 318
3 WITHIN PAST 3 YEARS 0 143 143
4 WITHIN PAST 4 YEARS 0 70 70
5 WITHIN PAST 5 YEARS 0 70 70
6 MORE THAN 5 YEARS 0 158 158
7 NEVER 0 63 63
Note: Only female participants were instructed to answer JX1317RE. For male participants, JX1317RE has a value of -2.

jx1318re: How long has it been since you had a pelvic exam or Pap smear?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health22_18

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 69 84 153
-4 NOT ASCERTAINED 0 1 1
-2 2409 0 2409
-1 DON'T KNOW 0 1 1
1 WITHIN PAST YEAR 0 1025 1025
2 WITHIN PAST 2 YEARS 0 549 549
3 WITHIN PAST 3 YEARS 0 337 337
4 WITHIN PAST 4 YEARS 0 168 168
5 WITHIN PAST 5 YEARS 0 188 188
6 MORE THAN 5 YEARS 0 523 523
7 NEVER 0 37 37
Note: Only female participants were instructed to answer JX1318RE. For male participants, JX1318RE has a value of -2.

jxhs30re: How would you describe your eye color currently?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health23, c_y_health23
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 134 97 231
-4 NOT ASCERTAINED 116 86 202
-1 DON'T KNOW 3 0 3
1 BLUE 1039 986 2025
2 GREEN 163 304 467
3 BROWN 595 697 1292
4 HAZEL 287 467 754
5 GRAY 44 30 74
7 TWO-TONE / MULTI-COLORED 94 243 337
8 EYES ARE DIFFERENTLY COLORED (HETEROCHROMIA IRIDUM) 3 2 5
9 OTHER 0 1 1
Note: Participants who reported a shade or variation of a base eye color (e.g. "greenish blue" or "dark brown") were assigned codes reflecting the base color.

jxhs31re: Has your eye color ever changed?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health24
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 136 114 250
-1 DON'T KNOW 1 1 2
1 YES 61 115 176
2 NO 2280 2683 4963

jxhs32re: How would you describe your previous eye color?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health24a, c_y_health24a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 121 104 225
-4 NOT ASCERTAINED 8 14 22
-2 2280 2683 4963
-1 DON'T KNOW 1 0 1
1 BLUE 17 43 60
2 GREEN 7 16 23
3 BROWN 28 30 58
4 HAZEL 10 11 21
5 GRAY 0 1 1
7 TWO-TONE / MULTI-COLORED 6 10 16
8 EYES WERE DIFFERENTLY COLORED (HETEROCHROMIA IRIDUM) 0 1 1
Note: Participants who reported a shade or variation of a base eye color (e.g. "greenish blue" or "dark brown") were assigned codes reflecting the base color.

jxhs10re: Which of the following best describes your use of hearing aids?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health25

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 77 90 167
-4 NOT ASCERTAINED 3 0 3
1 HAVE THEM FOR 1 OR BOTH EARS AND USE REGULARLY 251 126 377
2 HAVE THEM FOR 1 OR BOTH EARS BUT DO NOT USE REGULARLY 180 56 236
3 DO NOT OWN HEARING AIDS 1967 2641 4608

jxhs11re: Have you experienced increased problems with hearing conversations in person in the last 12 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_1

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 286 295 581
1 YES 603 464 1067
2 NO 1589 2154 3743

jxhs12re: Have you experienced increased problems with hearing conversations in person in the last 5 years?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_6

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 472 775 1247
-4 NOT ASCERTAINED 0 1 1
1 YES 945 647 1592
2 NO 1061 1490 2551

jxhs13re: Have you experienced increased problems with hearing conversations on the phone in the last 12 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_2

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 244 242 486
1 YES 431 308 739
2 NO 1803 2363 4166

jxhs14re: Have you experienced increased problems with hearing conversations on the phone in the last 5 years?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_7

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 525 838 1363
1 YES 574 341 915
2 NO 1379 1734 3113

jxhs15re: Have you experienced increased problems with understanding spoken instructions from your doctor, employer or other person in the last 12 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_3

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 194 205 399
1 YES 275 146 421
2 NO 2009 2562 4571

jxhs16re: Have you experienced increased problems with understanding spoken instructions from your doctor, employer or other person in the last 5 years?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_8

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 563 864 1427
-4 NOT ASCERTAINED 1 0 1
1 YES 299 142 441
2 NO 1615 1907 3522

jxhs17re: Have you experienced increased problems with reading small print on medicine bottles or other places in the last 12 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_4

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 242 285 527
-4 NOT ASCERTAINED 0 2 2
1 YES 687 1167 1854
2 NO 1549 1459 3008

jxhs18re: Have you experienced increased problems with reading small print on medicine bottles or other places in the last 5 years?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_9

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 504 741 1245
-4 NOT ASCERTAINED 0 2 2
1 YES 810 1137 1947
2 NO 1164 1033 2197

jxhs19re: Have you experienced increased problems with understanding written instructions in the last 12 months?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_5

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 194 202 396
-4 NOT ASCERTAINED 0 1 1
1 YES 126 110 236
2 NO 2158 2600 4758

jxhs20re: Have you experienced increased problems with understanding written instructions in the last 5 years?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_health26_10

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 561 865 1426
-4 NOT ASCERTAINED 0 1 1
-1 DON'T KNOW 1 0 1
1 YES 114 83 197
2 NO 1802 1964 3766

jxhi20re: Self-reported total number of medications that Participant is currently taking.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlth30a:1-9, y_hlh30a10, y_hh30a:11-17, y_hh30a:18r-24r

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 501 499 1000
-3 REFUSED 4 4 8
-1 DON'T KNOW 0 1 1
0 NO MEDICATIONS REPORTED 15 10 25
1 - 2 471 486 957
3 - 4 500 519 1019
5 - 7 526 687 1213
8 - 11 355 525 880
12 - 26 106 182 288

jxh001re: What is the name on the label of the 1st medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
"" System missing - NR 2513 2413 4926
"-2" 520 514 1034
"-29" LEFT BLANK ON SAQ 12 6 18
"Azelastine" 1 0 1
"Calcium + Vit. D" 0 1 1
"Fusamax" 0 1 1
"MetApRol" 1 0 1
"Metforim XL" 1 0 1
"asa" 0 1 1
"hydrochlorothizide" 1 0 1
"novolog pen fill" 0 1 1
"premarin cream" 0 1 1
"quinapril" 1 1 2
Note: Only 14 of 1759 values are listed.

jxh001cn: What is the code for the 1st medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 12 6 18
-4 NOT ASCERTAINED 27 26 53
-2 520 514 1034
1 acyclovir 4 1 5
2 amiodarone 1 2 3
4 atenolol 67 85 152
6 captopril 1 1 2
11 ciprofloxacin 1 2 3
13 enalapril 13 17 30
15 ibuprofen 14 20 34
16 labetalol 0 4 4
18 nadolol 6 4 10
19 naproxen 6 16 22
21 ranitidine 9 13 22
22 warfarin 42 24 66
23 allopurinol 32 6 38
24 azathioprine 1 2 3
26 fenoprofen 1 0 1
31 probenecid 1 0 1
32 propranolol 4 9 13
33 sulindac 1 1 2
37 doxycycline 1 3 4
39 indomethacin 2 0 2
40 oxazepam 0 1 1
41 tetracycline 3 3 6
44 clonidine 3 2 5
45 diltiazem 13 22 35
46 erythromycin 0 1 1
48 verapamil 8 11 19
49 acetaminophen 4 8 12
50 methadone 1 0 1
51 nifedipine 5 12 17
58 carbamazepine 0 1 1
60 methotrexate 2 10 12
61 lithium 0 1 1
70 furosemide 9 13 22
80 cefadroxil 0 1 1
86 amantadine 1 1 2
88 amoxicillin 3 1 4
89 amoxicillin-clavulanate 0 2 2
96 cephalexin 0 1 1
98 dapsone 1 0 1
102 itraconazole 1 0 1
108 metronidazole 0 2 2
123 trimethoprim 1 0 1
124 sulfamethoxazole-trimethoprim 1 1 2
132 hydralazine 1 1 2
134 metoprolol 67 76 143
137 pindolol 1 0 1
139 timolol 5 6 11
141 famotidine 2 1 3
142 theophylline 2 2 4
143 phenytoin 5 3 8
144 nortriptyline 0 3 3
146 amitriptyline 3 5 8
148 diazepam 0 1 1
149 lorazepam 4 7 11
161 acetazolamide 1 0 1
168 alprazolam 5 8 13
170 aspirin 122 67 189
175 benztropine 1 0 1
179 bumetanide 3 3 6
181 bupropion 3 5 8
182 buspirone 1 1 2
184 carbidopa 1 0 1
191 chlorpheniramine 1 0 1
192 chlorthalidone 2 1 3
193 cholestyramine 1 0 1
197 clonazepam 4 3 7
206 dexamethasone 1 0 1
210 digoxin 9 5 14
217 doxepin 2 2 4
231 felodipine 0 3 3
233 fentanyl 1 4 5
234 flecainide 4 2 6
235 fluorouracil 0 1 1
236 fluoxetine 7 19 26
241 folic acid 0 4 4
242 fosinopril 3 2 5
245 gemfibrozil 14 5 19
246 glipizide 9 4 13
248 glyburide 7 3 10
253 hydrochlorothiazide 60 70 130
260 indapamide 0 4 4
262 insulin 2 1 3
265 ipratropium 1 0 1
268 isosorbide dinitrate 1 0 1
269 isosorbide mononitrate 3 2 5
278 levothyroxine 45 190 235
280 lovastatin 23 25 48
284 medroxyprogesterone 0 2 2
290 methimazole 1 0 1
293 methylprednisolone 1 0 1
308 morphine 2 1 3
310 nabumetone 2 2 4
314 niacin 11 9 20
325 omeprazole 48 47 95
328 oxybutynin 4 3 7
329 oxycodone 1 0 1
340 phenobarbital 2 0 2
343 piroxicam 0 1 1
345 potassium chloride 7 17 24
348 pravastatin 25 30 55
350 prednisone 9 5 14
352 primidone 1 0 1
358 propafenone 1 2 3
360 propoxyphene 1 0 1
361 propylthiouracil 0 3 3
365 quinapril 7 2 9
371 sotalol 1 1 2
373 spironolactone 1 8 9
377 sucralfate 1 0 1
379 sulfasalazine 3 3 6
381 tamoxifen 0 2 2
384 temazepam 1 0 1
386 terazosin 13 0 13
395 trazodone 0 7 7
396 triamterene 2 18 20
397 triazolam 0 1 1
405 vitamin e 1 0 1
413 cyanocobalamin 2 1 3
417 bioflavonoids 1 0 1
425 calcium carbonate 1 17 18
426 ascorbic acid 1 2 3
484 selenium 1 0 1
488 lysine 1 1 2
497 omega-3 polyunsaturated fatty acids 14 12 26
534 estrone 0 1 1
537 estradiol 0 5 5
541 conjugated estrogens 0 20 20
543 estropipate 0 2 2
558 testosterone 2 0 2
563 finasteride 14 0 14
595 glucose 0 1 1
598 calcitonin 0 2 2
608 fludrocortisone 1 0 1
609 cortisone 1 0 1
653 isosorbide 1 0 1
655 thyroid desiccated 2 8 10
658 liothyronine 1 0 1
683 lidocaine topical 0 1 1
689 amlodipine 45 42 87
709 bisoprolol 1 2 3
726 doxazosin 12 2 14
728 ramipril 5 2 7
730 benazepril 8 17 25
732 lisinopril 118 117 235
743 sodium polystyrene sulfonate 1 0 1
746 simvastatin 148 117 265
749 albuterol 7 11 18
760 beclomethasone 0 2 2
761 flunisolide 1 0 1
769 pseudoephedrine 1 0 1
797 guaifenesin 0 1 1
817 hydroxychloroquine 2 2 4
842 salsalate 0 1 1
848 diclofenac 3 4 7
851 etodolac 0 1 1
859 meclizine 0 1 1
880 sertraline 2 19 21
900 methylphenidate 1 0 1
907 hydroxyzine 0 1 1
910 zolpidem 2 10 12
919 mephobarbital 0 2 2
963 cyclobenzaprine 0 1 1
967 baclofen 1 1 2
985 hyoscyamine 0 3 3
999 dicyclomine 1 0 1
1005 ursodiol 0 3 3
1012 phenolphthalein 1 0 1
1013 senna 0 2 2
1017 polycarbophil 0 1 1
1018 psyllium 2 1 3
1021 docusate 3 3 6
1027 simethicone 1 0 1
1031 mesalamine 3 6 9
1191 pilocarpine ophthalmic 0 1 1
1233 nystatin 1 0 1
1296 fluticasone 2 5 7
1300 mometasone topical 1 0 1
1373 hydroxyurea 2 2 4
1387 alprostadil 1 0 1
3050 loratadine 3 2 5
3052 hydrochlorothiazide-triamterene 12 29 41
3075 hydrocodone 0 1 1
3126 calcitriol 0 3 3
3128 ergocalciferol 0 1 1
3129 cholecalciferol 2 10 12
3137 calcium-vitamin d 1 22 23
3140 multivitamin 14 21 35
3145 multivitamin with minerals 16 12 28
3157 paroxetine 2 7 9
3162 ethanol 1 0 1
3180 risperidone 1 0 1
3181 venlafaxine 2 5 7
3182 gabapentin 7 13 20
3183 fluvastatin 0 1 1
3189 torsemide 0 2 2
3205 hydrocortisone topical 1 0 1
3206 triamcinolone topical 0 1 1
3208 metronidazole topical 0 1 1
3245 esterified estrogens-methyltestosterone 0 1 1
3258 atenolol-chlorthalidone 4 5 9
3259 bendroflumethiazide-nadolol 0 1 1
3264 hydrochlorothiazide-metoprolol 0 1 1
3265 benazepril-hydrochlorothiazide 0 4 4
3266 hydrochlorothiazide-lisinopril 22 31 53
3270 phenylephrine-pyrilamine nasal 1 0 1
3298 chlorpheniramine-pseudoephedrine 0 1 1
3342 acetaminophen/dextromethorphan/pse 0 1 1
3423 acetaminophen-codeine 1 4 5
3425 acetaminophen/butalbital/caffeine/codeine 0 1 1
3428 acetaminophen-hydrocodone 3 3 6
3434 acetaminophen-propoxyphene 1 1 2
3439 acetaminophen/aspirin/caffeine 1 1 2
3455 acetaminophen/butalbital/caffeine 1 0 1
3473 carbidopa-levodopa 7 4 11
3492 chlordiazepoxide-clidinium 1 1 2
3506 atropine-diphenoxylate 1 0 1
3689 calcium acetate 0 1 1
3740 enalapril-hydrochlorothiazide 2 3 5
3744 bisoprolol-hydrochlorothiazide 3 6 9
3752 tacrolimus 2 1 3
3788 calcipotriene topical 1 0 1
3796 magnesium chloride 0 1 1
3804 fluvoxamine 0 1 1
3805 dorzolamide ophthalmic 0 1 1
3807 metformin 72 54 126
3808 nefazodone 0 1 1
3809 lamotrigine 1 1 2
3819 conjugated estrogens-medroxyprogesterone 0 5 5
3821 losartan 15 25 40
3823 iron polysaccharide 1 0 1
3824 ferrous sulfate 2 1 3
3825 nisoldipine 0 1 1
3826 tramadol 2 6 8
3827 cetirizine 1 3 4
3828 lansoprazole 5 9 14
3829 amlodipine-benazepril 10 4 14
3830 hydrochlorothiazide-losartan 9 10 19
3833 divalproex sodium 1 0 1
3835 moexipril 0 1 1
3839 mycophenolate mofetil 3 0 3
3847 carvedilol 17 12 29
3849 alendronate 3 61 64
3850 bicalutamide 1 0 1
3863 tretinoin 0 1 1
3864 glimepiride 8 5 13
3866 calcium citrate 1 1 2
3873 anastrozole 0 8 8
3984 ritonavir 1 0 1
4012 terbinafine 0 1 1
4017 latanoprost ophthalmic 5 5 10
4025 mirtazapine 1 2 3
4035 amphetamine-dextroamphetamine 0 2 2
4037 timolol ophthalmic 2 0 2
4040 fexofenadine 5 5 10
4048 brimonidine ophthalmic 1 2 3
4058 melatonin 1 0 1
4065 trandolapril-verapamil 0 1 1
4066 albuterol-ipratropium 1 0 1
4068 azelastine nasal 1 0 1
4099 donepezil 1 1 2
4105 atorvastatin 75 71 146
4111 glatiramer 0 1 1
4113 valsartan 18 20 38
4115 topiramate 1 1 2
4117 olopatadine ophthalmic 1 0 1
4121 tamsulosin 23 0 23
4145 pramipexole 1 1 2
4156 letrozole 0 3 3
4186 phenylephrine nasal 1 0 1
4210 estradiol topical 0 1 1
4215 ropinirole 0 2 2
4220 quetiapine 0 1 1
4222 irbesartan 9 10 19
4223 mometasone nasal 0 1 1
4233 triamcinolone nasal 0 1 1
4245 hydrochlorothiazide-irbesartan 1 2 3
4258 clopidogrel 28 16 44
4261 raloxifene 0 17 17
4271 diclofenac-misoprostol 0 3 3
4276 budesonide 2 2 4
4283 fluticasone nasal 6 6 12
4286 fenofibrate 8 7 15
4289 montelukast 2 7 9
4293 hydrochlorothiazide-valsartan 7 12 19
4294 tolterodine 0 3 3
4299 sildenafil 4 0 4
4300 risedronate 1 13 14
4303 dorzolamide-timolol ophthalmic 0 1 1
4322 candesartan 0 4 4
4332 citalopram 6 9 15
4363 sevelamer 1 0 1
4364 telmisartan 2 2 4
4365 etanercept 0 2 2
4369 insulin regular 0 1 1
4370 insulin isophane 1 0 1
4371 insulin zinc 1 0 1
4372 insulin zinc extended 3 1 4
4373 insulin lispro 3 5 8
4378 modafinil 0 1 1
4380 celecoxib 3 11 14
4382 cilostazol 0 1 1
4396 conjugated estrogens topical 0 1 1
4411 garlic 0 1 1
4413 ginkgo 0 1 1
4418 glucosamine 3 1 4
4420 chondroitin-glucosamine 3 4 7
4426 red yeast rice 0 4 4
4427 levalbuterol 1 1 2
4434 rosiglitazone 1 0 1
4440 perindopril 1 1 2
4442 pioglitazone 6 4 10
4448 rabeprazole 0 4 4
4453 sirolimus 1 0 1
4459 dofetilide 1 0 1
4460 entacapone 0 1 1
4497 aspirin-dipyridamole 2 0 2
4499 levetiracetam 3 2 5
4500 moxifloxacin 0 1 1
4509 hydrochlorothiazide-quinapril 0 1 1
4514 pantoprazole 5 6 11
4522 papaya 1 0 1
4523 ubiquinone 0 2 2
4532 meloxicam 0 3 3
4537 rivastigmine 0 2 2
4538 insulin glargine 4 2 6
4539 fosinopril-hydrochlorothiazide 0 2 2
4611 fluticasone-salmeterol 13 20 33
4695 colesevelam 1 3 4
4697 insulin aspart 2 3 5
4700 balsalazide 0 1 1
4703 glyburide-metformin 1 1 2
4711 candesartan-hydrochlorothiazide 0 1 1
4722 diclofenac topical 0 2 2
4737 hydrochlorothiazide-telmisartan 1 3 4
4749 esomeprazole 15 19 34
4753 travoprost ophthalmic 4 5 9
4754 bimatoprost ophthalmic 0 2 2
4758 imatinib 0 1 1
4785 desloratadine 0 1 1
4787 lovastatin-niacin 3 0 3
4788 dutasteride 4 0 4
4795 budesonide-formoterol 1 4 5
4801 olmesartan 7 14 21
4812 escitalopram 0 6 6
4823 glipizide-metformin 1 0 1
4824 ezetimibe 8 7 15
4829 tiotropium 4 2 6
4836 cyclosporine ophthalmic 0 2 2
4839 insulin aspart-insulin aspart protamine 0 1 1
4851 rosuvastatin 33 25 58
4878 hydrochlorothiazide-olmesartan 1 8 9
4893 vardenafil 1 0 1
4896 tadalafil 1 0 1
4898 epinastine ophthalmic 0 1 1
4899 memantine 1 3 4
4929 trospium 1 0 1
5048 amlodipine-atorvastatin 0 2 2
5262 mometasone 0 2 2
5265 nebivolol 0 4 4
5283 brimonidine-timolol ophthalmic 2 0 2
5348 ezetimibe-simvastatin 12 9 21
5355 duloxetine 0 2 2
5357 ibandronate 0 6 6
5366 acetaminophen/dextromethorphan/doxylamine 0 1 1
5413 solifenacin 1 4 5
5422 darifenacin 1 3 4
5436 insulin detemir 1 0 1
5508 pregabalin 0 2 2
5526 alendronate-cholecalciferol 0 4 4
5529 exenatide 0 1 1
5578 ramelteon 1 0 1
5635 metformin-pioglitazone 3 1 4
5696 lenalidomide 0 1 1
5847 efavirenz/emtricitabine/tenofovir 1 0 1
5851 levocetirizine 0 1 1
5896 sitagliptin 1 1 2
6392 wheat dextrin 0 1 1
6507 cinnamon 0 1 1
6662 amlodipine-valsartan 1 0 1
6665 aliskiren 1 2 3
6720 metformin-sitagliptin 0 1 1
6842 armodafinil 0 1 1
6848 lutein 1 0 1
6905 amlodipine-olmesartan 4 0 4
7110 niacin-simvastatin 2 0 2
7356 rivaroxaban 1 0 1
7400 bifidobacterium-lactobacillus 1 0 1
7458 dronedarone 0 1 1
7467 saxagliptin 2 1 3
7634 dutasteride-tamsulosin 1 0 1
8119 brimonidine topical 0 1 1

jxh002re: What is the dosage on the label of the 1st medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_b
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
"" System missing - NR 2513 2413 4926
"-1" DON'T KNOW 3 2 5
"-2" 520 514 1034
"-29" LEFT BLANK ON SAQ 88 89 177
"10-25 mg" 1 2 3
"120/24 cap" 1 0 1
"160 mg/25 mg" 1 0 1
"20-12" 0 1 1
"200 mg since Dec 2010" 1 0 1
"25 EQ" 0 1 1
"25 m" 2 0 2
"25 mg / 100m" 1 0 1
"25 mg 1 capsule" 0 1 1
"mg" 0 1 1
Note: Only 14 of 1018 values are listed.

jxh003re: Numeric component: How often does the label on your 1st medication say you should take it?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_c_n
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-4 NOT ASCERTAINED 84 66 150
-2 520 514 1034
-1 DON'T KNOW 1 0 1
0 - 1 1299 1645 2944
1.50 - 4 380 430 810
4.50 - 124 19 36 55
777 WEEKLY 3 8 11
888 DAILY 128 121 249
999 AS NEEDED 44 93 137
Note: In a very small number of cases, participants reported a range in response to the question, "how often does the label say you should take this medication?" Whenever this occurred, this variable was coded to reflect the most conservative interpretation possible. If, for example, a participant reported that their medication's label read, "take 1-2 tablets every 4-6 hours," it would have been interpreted as "take 1 tablet every 6 hours." Recoding of this variable would subsequently reflect that most conservative interpretation, resulting in a value of "4" here and a code of "times per day" on JX9003RE. The WLS will make the originally reported ranges available upon request.

jx9003re: Time units: How often does the label on your 1st medication say you should take it?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_c_n, y_hlh30a1_c_u
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 288 192 480
-4 NOT ASCERTAINED 1 0 1
-2 695 736 1431
1 TIMES PER DAY 1466 1870 3336
2 TIMES PER WEEK 23 103 126
3 TIMES PER MONTH 2 12 14
4 TIMES PER YEAR 3 0 3
Note: In a very small number of cases, participants reported a range in response to the question, "how often does the label say you should take this medication?" Whenever this occurred, this variable was coded to reflect the most conservative interpretation possible. If, for example, a participant reported that their medication's label read, "take 1-2 tablets every 4-6 hours," it would have been interpreted as "take 1 tablet every 6 hours." Recoding of this variable would subsequently reflect that most conservative interpretation, resulting in a value of "4" here and a code of "times per day" on JX9003RE. The WLS will make the originally reported ranges available upon request.

jxh004re: What is the main reason you are taking your 1st medication? These are ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_d, c_y_hlh30a1_d
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 149 112 261
-18 COULD NOT CODE 13 5 18
-4 NOT ASCERTAINED 1 2 3
-2 520 514 1034
-1 DON'T KNOW 13 9 22
42 Human Immunodeficiency Virus (HIV) disease 2 0 2
53 Herpes zoster 0 2 2
136 Other and unspecified infectious and parasitic diseases 2 1 3
174 Malignant neoplasm of female breast 0 9 9
185 Malignant neoplasm of prostate 1 0 1
193 Malignant neoplasm of thyroid gland 0 1 1
199 Malignant neoplasm without specification of site 1 6 7
202 Other malignant neoplasms of lymphoid and histiocytic tissue 0 1 1
203 Multiple myeloma and immunoproliferative neoplasms 0 1 1
204 Lymphoid leukemia 0 1 1
205 Myeloid leukemia 0 1 1
208 Leukemia of unspecified cell type 1 0 1
242 Thyrotoxicosis with or without goiter 0 3 3
244 Acquired hypothyroidism 6 42 48
245 Thyroiditis 0 2 2
246 Other disorders of thyroid 37 140 177
250 Diabetes mellitus 99 85 184
266 Deficiency of B-complex components 0 2 2
268 Vitamin D deficiency 1 8 9
272 Disorders of lipoid metabolism 371 312 683
274 Gout 27 5 32
277 Other and unspecified disorders of metabolism 0 3 3
283 Acquired hemolytic anemias 1 0 1
285 Other and unspecified anemias 2 0 2
286 Coagulation defects 3 1 4
290 Senile and presenile organic psychotic conditions 0 1 1
296 Affective psychoses 1 2 3
300 Neurotic disorder 16 46 62
308 Acute reaction to stress 0 2 2
309 Adjustment reaction 0 1 1
311 Depressive disorder, not elsewhere classified 16 35 51
314 Hyperkinetic syndrome of childhood 1 1 2
331 Other cerebral degenerations 1 2 3
332 Parkinson's disease 9 5 14
333 Other extrapyramidal disease and abnormal movement disorders 5 4 9
340 Multiple sclerosis 0 2 2
344 Other paralytic syndromes 1 1 2
345 Epilepsy 1 0 1
346 Migraine 1 1 2
347 Cataplexy and narcolepsy 0 1 1
350 trigeminal nerve disorder 0 1 1
354 Mononeuritis of upper limb and mononeuritis multiplex 0 1 1
356 Hereditary and idiopathic peripheral neuropathy 4 8 12
358 Myoneural disorders 2 0 2
362 Other retinal disorders 2 0 2
365 Glaucoma 13 17 30
379 Other eye disorders 0 1 1
386 Vertiginous syndromes and other disorders of vestibular system 0 3 3
388 Other disorders of ear 2 0 2
390 Rheumatic fever without mention of heart involvement 1 0 1
401 Essential hypertension 192 373 565
410 Acute myocardial infarction 4 2 6
413 Angina pectoris 2 0 2
414 Other forms of chronic ischemic heart disease 3 0 3
415 Acute pulmonary heart disease 0 1 1
427 Cardiac dysrhythmias 26 25 51
428 Heart failure 2 3 5
429 Ill-defined descriptions and complications of heart disease 10 7 17
435 Transient cerebral ischemia 2 0 2
436 Acute, but ill-defined, cerebrovascular disease 16 7 23
441 Aortic aneurysm 1 0 1
444 Arterial embolism and thrombosis 5 14 19
453 Other venous embolism and thrombosis 1 0 1
460 Acute nasopharyngitis [common cold] 1 3 4
466 Acute bronchitis and bronchiolitis 0 1 1
472 Chronic pharyngitis and nasopharyngitis 0 1 1
473 Chronic sinusitis 1 0 1
477 Allergic rhinitis 3 0 3
487 Influenza 1 0 1
492 Emphysema 1 1 2
493 Asthma 13 35 48
496 Chronic airway obstruction, not elsewhere specified 9 5 14
518 Other diseases of lung 1 0 1
528 Diseases of the oral soft tissues, excluding lesions specific for gingiva and tongue 0 2 2
530 Diseases of esophagus 48 68 116
531 Gastric ulcer 0 1 1
533 Peptic ulcer, site unspecified 2 2 4
535 Gastritis and duodenitis 0 2 2
553 Other hernia of abdominal cavity without mention of obstruction or gangrene 4 0 4
555 Regional enteritis 3 3 6
556 Idiopathic proctocolitis 1 2 3
558 Other noninfectious gastroenteritis and colitis 2 3 5
562 Diverticula of intestine 0 1 1
564 Functional digestive disorders, not elsewhere classified 1 2 3
573 Other disorders of liver 2 0 2
574 Cholelithiasis 0 2 2
592 Calculus of kidney and ureter 2 0 2
593 Other disorders of kidney and ureter 1 0 1
595 Cystitis 2 1 3
596 Other disorders of bladder 1 0 1
600 Hyperplasia of prostate 15 0 15
602 Other disorders of prostate 1 0 1
692 Contact dermatitis and other eczema 1 1 2
695 Erythematous conditions 1 8 9
696 Psoriasis and similar disorders 1 1 2
706 Diseases of sebaceous glands 1 0 1
710 Diffuse diseases of connective tissue 0 1 1
714 Rheumatoid arthritis and other inflammatory polyarthropathies 3 14 17
715 Osteoarthrosis and allied disorders 1 6 7
716 Other and unspecified arthropathies 17 36 53
719 Other and unspecified disorders of joint 9 15 24
724 Other and unspecified disorders of back 5 6 11
725 Polymyalgia rheumatica 1 1 2
726 Peripheral enthesopathies and allied syndromes 1 1 2
728 Disorders of muscle, ligament, and fiscia 6 5 11
729 Other disorders of soft tissues 1 3 4
733 Other disorders of bone and cartilage 5 67 72
784 Symptoms involving head and neck 8 5 13
786 Symptoms involving respiratory system and other chest symptoms 1 2 3
799 Other ill-defined and unknown cause of morbidity and mortality 0 1 1
820 Fracture of neck of femur 0 1 1
996 Complications peculiar to certain specified procedures 4 0 4
1130 Energy and drive functions 0 3 3
1134 Sleep functions 9 22 31
1144 Memory functions 1 4 5
1210 Seeing functions 1 0 1
1220 Sensations associated with the eye and adjoining structures 5 7 12
1229 Seeing and related functions, other specified and unspecified 3 2 5
1230 Hearing functions 0 1 1
1240 Sensations associated with hearing and vestibular function 0 1 1
1280 Sensation of pain 18 39 57
1410 Heart functions 99 56 155
1415 Blood vessel functions 4 1 5
1420 Blood pressure functions 285 279 564
1429 Functions of the cardiovascular system, other specified and unspecified 19 15 34
1435 Immunological system functions 16 25 41
1440 Respiration functions 5 4 9
1450 Additional respiratory functions 4 13 17
1455 Exercise tolerance functions 1 0 1
1460 Sensations associated with cardiovascular and respiratory functions 10 14 24
1499 Functions of the cardiovascular, haematological, immunological and respiratory systems, unspecified 65 22 87
1510 Ingestion functions 1 1 2
1515 Digestive functions 4 5 9
1520 Assimilation functions 0 2 2
1525 Defecation functions 7 6 13
1535 Sensations associated with the digestive system 21 18 39
1539 Functions related to the digestive system, other specified and unspecified 7 9 16
1545 Water, mineral and electrolyte balance functions 11 33 44
1550 Thermoregulatory functions 0 1 1
1555 Endocrine gland functions 0 6 6
1610 Urinary excretory functions 1 1 2
1620 Urination functions 17 16 33
1640 Sexual functions 3 3 6
1670 Sensations associated with genital and reproductive functions 0 12 12
1679 Genital and reproductive functions, other specified and unspecified 26 4 30
1729 Functions of the joints and bones, other specified and unspecified 7 67 74
1765 Involuntary movement functions 9 9 18
1780 Sensations related to muscles and movement functions 1 1 2
1830 Other functions of the skin 1 1 2
1840 Sensation related to the skin 1 3 4
1849 Functions of the skin, other specified and unspecified 1 0 1
2320 Structure of mouth 1 0 1
2840 Structure of hair 0 1 1
3570 Looking after one's health 25 36 61
3770 Intimate relationships 1 0 1
4355 Health professionals 4 3 7
4410 Individual attitudes of immediate family members 2 0 2
5947 Other And Unspecified Drugs And Medicinal Substances Causing Adverse Effects In Therapeutic Use 1 2 3
6007 Need For Isolation And Other Prophylactic Measures 1 6 7
6018 Family History Of Certain Other Specific Conditions 0 1 1
6042 Organ Or Tissue Replaced By Transplant 1 0 1
6058 Encounter For Other And Unspecified Procedures And Aftercare 1 0 1
6069 Problems Related to Lifestyle 0 1 1
7000 Procedures and Interventions, NEC 1 0 1
7006 Operations on thyroid and parathyroid glands 1 4 5
7024 Other operations on teeth, gums, and alveoli 0 1 1
7035 Operations on valves and septa of heart 1 3 4
7036 Operations on vessels of heart 1 2 3
7037 Other operations on heart and pericardium 2 0 2
7055 Operations on kidney 0 1 1
7059 Other operations on urinary tract 1 0 1
7080 Incision and excision of joint structures 0 1 1
7081 Repair and plastic operations on joint structures 0 1 1
Note: See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jx9004re: What is the main reason you are taking your 1st medication? These are collapsed ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_d, c_y_hlh30a1_d

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 149 112 261
-18 NOT CODEABLE 13 5 18
-4 NOT ASCERTAINED 1 2 3
-2 520 514 1034
-1 DON'T KNOW 13 9 22
10 Infectious and Parasitic Diseases 4 3 7
20 Neoplasms 3 20 23
30 Endocrine, Nutritional, Metabolic, Immunity 541 602 1143
40 Blood and Blood-Forming Organs 6 1 7
50 Mental Disorders 34 88 122
60 Nervous System and Sense Organs 41 47 88
70 Circulatory System 265 432 697
80 Respiratory System 30 46 76
90 Digestive System 63 88 151
100 Genitourinary system 22 1 23
120 Skin and Subcutaneous Tissue 4 10 14
130 Musculoskeletal System and Connective Tissue 49 155 204
160 Symptoms, Signs, and Ill-Defined Conditions 9 8 17
170 Injury and Poisoning 4 1 5
180 ICD-9 E Codes 1 2 3
190 ICD-9 V Codes 3 8 11
200 ICD-9 Volume 3 Headings 7 13 20
210 ICF Body Functions 663 706 1369
220 ICF Body Structures 1 1 2
230 ICF Activities and Participation 26 36 62
240 ICF Environmental Factors 6 3 9
Note: This variable collapses the ICD-9 and ICF codes used at JXH004RE into categories. See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jxh005re: How many times did you take your 1st medication yesterday?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_e

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 74 79 153
-2 520 514 1034
0 DID NOT TAKE YESTERDAY 54 139 193
1 1463 1790 3253
2 313 318 631
3 34 52 86
4 15 14 29
5 1 4 5
6 1 2 3
8 2 1 3
30 1 0 1
Note: Rounded up to the nearest integer number of times the medication was taken.

jxh006re: Century-month Participant began taking 1st medication.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a1_f, y_hlh30a1_g

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 210 302 512
-4 NOT ASCERTAINED 1 1 2
-2 520 514 1034
-1 DON'T KNOW 45 108 153
523 - 1141 320 423 743
1142 - 1208 346 401 747
1209 - 1268 371 371 742
1269 - 1310 361 378 739
1311 - 1362 304 415 719
Note: Century-months are the months elapsed since the beginning of the year 1900. July of 1995 would, for example, represent century-month 1147 (since 95 full years have elapsed since the beginning of 1900 and July is 7 months into the year 1995, multiplying 95 by the 12 months there are in each year and adding 7 yields 1147).
Note: If the participant does not report the month they began taking their medication but does provide the year, June (as the middlemost month) is used to calculate the century-month they began taking it. For example, if a participant only tells us that they began taking their medication in 2007, the century-month would be calculated as 1290 (since 2007 represents 107 full years elapsed since the beginning of 1900 and June is the 6th month of the year, multiplying 107 by 12 and adding 6 yields 1290).

jxh007re: What is the name on the label of the 2nd medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
"" System missing - NR 2513 2413 4926
"-2" 727 730 1457
"-29" LEFT BLANK ON SAQ 5 5 10
"Ambrolipine" 1 0 1
"Amlodipine (Norvasc)" 1 1 2
"Diabetes meds" 0 1 1
"Emelopril" 1 0 1
"Flomax .4mg" 1 0 1
"Naproxyn 375 mg" 0 1 1
"Simicor" 0 1 1
"Triamcirolone" 1 0 1
"carbo-levo er" 1 0 1
"sildenafil" 1 0 1
Note: Only 14 of 1768 values are listed.

jxh007cn: What is the code for the 2nd medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 5 5 10
-4 NOT ASCERTAINED 23 18 41
-2 727 730 1457
1 acyclovir 1 5 6
2 amiodarone 4 1 5
3 ampicillin 0 1 1
4 atenolol 54 70 124
6 captopril 2 0 2
11 ciprofloxacin 1 1 2
13 enalapril 24 9 33
15 ibuprofen 7 11 18
18 nadolol 3 1 4
19 naproxen 7 12 19
21 ranitidine 12 12 24
22 warfarin 22 13 35
23 allopurinol 26 7 33
24 azathioprine 1 1 2
28 ketoprofen 0 1 1
32 propranolol 7 5 12
33 sulindac 1 0 1
37 doxycycline 1 3 4
41 tetracycline 0 1 1
43 clindamycin 1 0 1
44 clonidine 6 5 11
45 diltiazem 13 17 30
48 verapamil 6 9 15
49 acetaminophen 2 7 9
51 nifedipine 3 7 10
58 carbamazepine 2 3 5
60 methotrexate 1 4 5
70 furosemide 9 26 35
79 cyclosporine 1 0 1
86 amantadine 2 1 3
88 amoxicillin 0 2 2
108 metronidazole 0 1 1
110 minocycline 2 1 3
112 nitrofurantoin 0 1 1
124 sulfamethoxazole-trimethoprim 0 3 3
128 acebutolol 0 2 2
132 hydralazine 1 3 4
134 metoprolol 89 84 173
138 prazosin 1 0 1
139 timolol 8 2 10
140 cimetidine 1 1 2
141 famotidine 3 2 5
143 phenytoin 0 3 3
144 nortriptyline 0 2 2
145 desipramine 0 1 1
146 amitriptyline 2 7 9
148 diazepam 0 3 3
149 lorazepam 3 9 12
150 colchicine 1 2 3
153 dicloxacillin 1 0 1
168 alprazolam 1 9 10
169 amiloride 0 1 1
170 aspirin 98 84 182
179 bumetanide 0 2 2
181 bupropion 4 6 10
184 carbidopa 0 1 1
189 chlordiazepoxide 0 1 1
190 chlorothiazide 0 1 1
191 chlorpheniramine 2 0 2
192 chlorthalidone 2 4 6
193 cholestyramine 0 1 1
197 clonazepam 5 4 9
210 digoxin 12 2 14
212 diphenhydramine 0 2 2
217 doxepin 0 1 1
231 felodipine 4 4 8
234 flecainide 0 1 1
236 fluoxetine 4 10 14
239 flurbiprofen 0 1 1
241 folic acid 1 11 12
242 fosinopril 2 4 6
245 gemfibrozil 6 7 13
246 glipizide 15 13 28
248 glyburide 11 8 19
253 hydrochlorothiazide 81 98 179
259 imipramine 1 1 2
260 indapamide 3 7 10
262 insulin 0 1 1
265 ipratropium 0 1 1
268 isosorbide dinitrate 1 1 2
269 isosorbide mononitrate 2 2 4
278 levothyroxine 25 120 145
280 lovastatin 19 28 47
284 medroxyprogesterone 0 3 3
289 mercaptopurine 0 1 1
293 methylprednisolone 0 1 1
299 metolazone 0 1 1
308 morphine 1 2 3
310 nabumetone 1 2 3
314 niacin 15 9 24
321 nitroglycerin 2 1 3
325 omeprazole 39 58 97
328 oxybutynin 2 8 10
329 oxycodone 1 0 1
336 pentoxifylline 0 2 2
340 phenobarbital 1 1 2
345 potassium chloride 2 19 21
348 pravastatin 16 30 46
350 prednisone 7 2 9
352 primidone 1 0 1
360 propoxyphene 0 1 1
363 pyridostigmine 1 0 1
365 quinapril 3 9 12
371 sotalol 4 2 6
373 spironolactone 5 10 15
377 sucralfate 0 2 2
379 sulfasalazine 1 2 3
381 tamoxifen 0 2 2
384 temazepam 1 1 2
386 terazosin 6 1 7
395 trazodone 5 5 10
396 triamterene 11 9 20
402 vitamin a 0 1 1
405 vitamin e 3 1 4
412 pyridoxine 1 1 2
413 cyanocobalamin 1 5 6
425 calcium carbonate 2 31 33
426 ascorbic acid 4 8 12
496 inositol 0 1 1
497 omega-3 polyunsaturated fatty acids 11 14 25
537 estradiol 0 11 11
541 conjugated estrogens 0 16 16
550 progesterone 0 2 2
558 testosterone 1 0 1
563 finasteride 16 0 16
598 calcitonin 0 3 3
608 fludrocortisone 1 1 2
653 isosorbide 1 0 1
655 thyroid desiccated 1 3 4
658 liothyronine 1 0 1
689 amlodipine 37 65 102
699 epinephrine 1 0 1
709 bisoprolol 1 1 2
717 guanfacine 1 0 1
726 doxazosin 17 4 21
728 ramipril 8 5 13
730 benazepril 9 16 25
732 lisinopril 117 76 193
746 simvastatin 110 129 239
749 albuterol 12 5 17
769 pseudoephedrine 0 1 1
773 tetrahydrozoline ophthalmic 1 0 1
797 guaifenesin 1 1 2
817 hydroxychloroquine 3 6 9
848 diclofenac 2 6 8
851 etodolac 2 2 4
853 oxaprozin 2 0 2
859 meclizine 0 3 3
867 ondansetron 1 0 1
880 sertraline 6 14 20
900 methylphenidate 1 0 1
907 hydroxyzine 0 3 3
910 zolpidem 2 8 10
963 cyclobenzaprine 1 3 4
967 baclofen 0 2 2
985 hyoscyamine 0 1 1
999 dicyclomine 1 0 1
1002 pancrelipase 1 0 1
1005 ursodiol 2 1 3
1012 phenolphthalein 1 0 1
1013 senna 1 0 1
1018 psyllium 2 0 2
1021 docusate 1 2 3
1025 loperamide 1 2 3
1031 mesalamine 1 2 3
1241 clindamycin topical 0 1 1
1267 mupirocin topical 0 1 1
1296 fluticasone 3 2 5
1348 megestrol 1 0 1
1423 potassium citrate 1 0 1
3050 loratadine 7 10 17
3052 hydrochlorothiazide-triamterene 9 26 35
3075 hydrocodone 0 3 3
3126 calcitriol 1 0 1
3128 ergocalciferol 1 1 2
3129 cholecalciferol 5 18 23
3137 calcium-vitamin d 7 20 27
3140 multivitamin 15 22 37
3141 multivitamin with iron 0 1 1
3145 multivitamin with minerals 7 38 45
3157 paroxetine 5 6 11
3160 sumatriptan 0 3 3
3181 venlafaxine 0 4 4
3182 gabapentin 5 11 16
3183 fluvastatin 3 1 4
3193 amiloride-hydrochlorothiazide 0 1 1
3197 betamethasone topical 0 1 1
3206 triamcinolone topical 1 3 4
3208 metronidazole topical 1 0 1
3221 prednisolone ophthalmic 1 0 1
3227 fluorometholone ophthalmic 0 1 1
3247 hydrochlorothiazide-spironolactone 0 1 1
3258 atenolol-chlorthalidone 5 2 7
3261 hydrochlorothiazide-propranolol 0 1 1
3264 hydrochlorothiazide-metoprolol 0 1 1
3265 benazepril-hydrochlorothiazide 0 1 1
3266 hydrochlorothiazide-lisinopril 21 11 32
3329 asa/diphenhydramine/ppa 1 0 1
3379 guaifenesin-pseudoephedrine 0 1 1
3393 codeine-guaifenesin 1 0 1
3428 acetaminophen-hydrocodone 2 1 3
3431 acetaminophen-oxycodone 0 1 1
3439 acetaminophen/aspirin/caffeine 0 1 1
3449 aspirin-caffeine 0 1 1
3455 acetaminophen/butalbital/caffeine 1 0 1
3473 carbidopa-levodopa 5 2 7
3506 atropine-diphenoxylate 2 3 5
3552 clioquinol-hydrocortisone topical 0 1 1
3640 budesonide nasal 1 0 1
3641 petrolatum topical 0 1 1
3644 lactobacillus acidophilus 0 1 1
3689 calcium acetate 0 1 1
3740 enalapril-hydrochlorothiazide 2 0 2
3744 bisoprolol-hydrochlorothiazide 1 2 3
3752 tacrolimus 0 1 1
3759 salmeterol 0 1 1
3768 ocular lubricant 0 1 1
3807 metformin 41 27 68
3809 lamotrigine 1 0 1
3819 conjugated estrogens-medroxyprogesterone 0 2 2
3821 losartan 22 25 47
3823 iron polysaccharide 0 1 1
3824 ferrous sulfate 0 3 3
3826 tramadol 2 4 6
3827 cetirizine 2 6 8
3828 lansoprazole 4 5 9
3829 amlodipine-benazepril 3 5 8
3830 hydrochlorothiazide-losartan 4 6 10
3833 divalproex sodium 2 1 3
3838 valacyclovir 0 1 1
3839 mycophenolate mofetil 1 0 1
3847 carvedilol 18 13 31
3849 alendronate 2 28 30
3864 glimepiride 5 4 9
3866 calcium citrate 1 5 6
3873 anastrozole 0 6 6
3879 cannabis (schedule i substance) 1 0 1
3952 citric acid-sodium citrate 1 0 1
4008 trandolapril 1 0 1
4017 latanoprost ophthalmic 4 5 9
4025 mirtazapine 3 2 5
4031 pilocarpine 1 0 1
4035 amphetamine-dextroamphetamine 0 1 1
4037 timolol ophthalmic 0 2 2
4040 fexofenadine 3 12 15
4048 brimonidine ophthalmic 1 2 3
4050 olanzapine 1 1 2
4052 pentosan polysulfate sodium 0 1 1
4053 zafirlukast 0 1 1
4057 zinc sulfate 1 1 2
4058 melatonin 1 0 1
4066 albuterol-ipratropium 2 1 3
4099 donepezil 1 1 2
4102 tizanidine 1 1 2
4105 atorvastatin 43 31 74
4113 valsartan 11 6 17
4115 topiramate 0 4 4
4117 olopatadine ophthalmic 0 2 2
4121 tamsulosin 26 0 26
4142 chromium picolinate 0 1 1
4145 pramipexole 4 0 4
4156 letrozole 0 2 2
4210 estradiol topical 0 2 2
4215 ropinirole 1 1 2
4220 quetiapine 0 1 1
4222 irbesartan 5 6 11
4223 mometasone nasal 3 3 6
4258 clopidogrel 17 10 27
4261 raloxifene 0 6 6
4276 budesonide 1 2 3
4278 cyanocobalamin nasal 0 1 1
4279 flunisolide nasal 0 1 1
4283 fluticasone nasal 4 5 9
4286 fenofibrate 10 13 23
4289 montelukast 3 6 9
4292 loteprednol ophthalmic 0 1 1
4293 hydrochlorothiazide-valsartan 7 9 16
4294 tolterodine 1 2 3
4299 sildenafil 5 0 5
4300 risedronate 1 9 10
4303 dorzolamide-timolol ophthalmic 0 1 1
4311 capecitabine 0 1 1
4322 candesartan 2 1 3
4332 citalopram 7 12 19
4364 telmisartan 3 0 3
4369 insulin regular 0 2 2
4372 insulin zinc extended 0 1 1
4373 insulin lispro 2 0 2
4375 estradiol-norethindrone 0 1 1
4376 abacavir 1 0 1
4380 celecoxib 8 9 17
4394 cromolyn nasal 1 0 1
4411 garlic 0 2 2
4412 ginseng 1 0 1
4415 saw palmetto 3 0 3
4418 glucosamine 1 5 6
4420 chondroitin-glucosamine 5 11 16
4426 red yeast rice 1 3 4
4434 rosiglitazone 0 1 1
4442 pioglitazone 5 2 7
4448 rabeprazole 2 2 4
4459 dofetilide 1 1 2
4497 aspirin-dipyridamole 1 0 1
4499 levetiracetam 0 4 4
4509 hydrochlorothiazide-quinapril 0 2 2
4514 pantoprazole 4 6 10
4523 ubiquinone 0 2 2
4532 meloxicam 3 6 9
4537 rivastigmine 0 1 1
4538 insulin glargine 5 4 9
4539 fosinopril-hydrochlorothiazide 1 0 1
4611 fluticasone-salmeterol 4 11 15
4695 colesevelam 1 0 1
4697 insulin aspart 2 1 3
4703 glyburide-metformin 3 4 7
4708 zoledronic acid 0 1 1
4711 candesartan-hydrochlorothiazide 0 2 2
4737 hydrochlorothiazide-telmisartan 0 1 1
4743 nateglinide 1 0 1
4749 esomeprazole 6 9 15
4753 travoprost ophthalmic 5 6 11
4754 bimatoprost ophthalmic 3 3 6
4764 cetirizine-pseudoephedrine 0 1 1
4785 desloratadine 0 1 1
4787 lovastatin-niacin 1 0 1
4788 dutasteride 5 0 5
4795 budesonide-formoterol 2 3 5
4797 alfuzosin 5 0 5
4801 olmesartan 4 4 8
4812 escitalopram 1 6 7
4820 metformin-rosiglitazone 1 0 1
4824 ezetimibe 13 9 22
4829 tiotropium 1 10 11
4836 cyclosporine ophthalmic 0 3 3
4851 rosuvastatin 24 13 37
4861 diphenhydramine-phenylephrine 0 1 1
4877 carbidopa/entacapone/levodopa 1 0 1
4878 hydrochlorothiazide-olmesartan 2 1 3
4882 atazanavir 1 0 1
4893 vardenafil 2 0 2
4896 tadalafil 2 0 2
4899 memantine 2 1 3
5048 amlodipine-atorvastatin 0 2 2
5217 mycophenolic acid 1 0 1
5262 mometasone 0 1 1
5265 nebivolol 0 4 4
5283 brimonidine-timolol ophthalmic 0 1 1
5294 rifaximin 0 1 1
5348 ezetimibe-simvastatin 16 10 26
5350 polyethylene glycol 3350 2 1 3
5355 duloxetine 1 2 3
5357 ibandronate 0 1 1
5413 solifenacin 1 1 2
5436 insulin detemir 1 2 3
5471 alpha-d-galactosidase 0 1 1
5508 pregabalin 2 3 5
5525 entecavir 1 0 1
5529 exenatide 0 2 2
5530 drospirenone-estradiol 0 1 1
5612 rasagiline 1 1 2
5635 metformin-pioglitazone 2 0 2
5702 methylsulfonylmethane 1 0 1
5703 chondroitin/glucosamine/methylsulfonylmethane 1 1 2
5896 sitagliptin 2 0 2
6032 fluocinolone otic 0 1 1
6392 wheat dextrin 1 0 1
6507 cinnamon 1 0 1
6655 alpha-lipoic acid 1 0 1
6662 amlodipine-valsartan 1 0 1
6720 metformin-sitagliptin 1 1 2
6851 azithromycin ophthalmic 0 1 1
6905 amlodipine-olmesartan 1 0 1
7077 aliskiren-hydrochlorothiazide 1 0 1
7110 niacin-simvastatin 0 1 1
7354 silodosin 1 0 1
7371 fenofibric acid 1 1 2
7395 dexlansoprazole 1 2 3
7458 dronedarone 1 0 1
7486 aliskiren-valsartan 0 1 1

jxh008re: What is the dosage on the label of the 2nd medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_b
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
"" System missing - NR 2513 2413 4926
"-1" DON'T KNOW 5 1 6
"-2" 727 730 1457
"-29" LEFT BLANK ON SAQ 83 132 215
"-4" NOT ASCERTAINED 0 1 1
".05%" 0 1 1
"0.9 mg." 0 1 1
"1 MG" 1 0 1
"10-15 units" 1 0 1
"1000 IU" 3 1 4
"125 mg" 1 6 7
"2 mg. tablets" 0 1 1
"20 m" 1 0 1
"32.4 mg" 0 1 1
"500 mcg" 1 0 1
Note: Only 15 of 851 values are listed.

jxh009re: Numeric component: How often does the label on your 2nd medication say you should take it?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_c_n
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-4 NOT ASCERTAINED 57 61 118
-2 727 730 1457
0.25 - 1 1167 1480 2647
1.25 - 3.50 321 381 702
3.75 - 24 40 64 104
777 WEEKLY 2 4 6
888 DAILY 117 120 237
999 AS NEEDED 47 73 120
Note: Rounded to the nearest 0.25.
Note: In a very small number of cases, participants reported a range in response to the question, "how often does the label say you should take this medication?" Whenever this occurred, this variable was coded to reflect the most conservative interpretation possible. If, for example, a participant reported that their medication's label read, "take 1-2 tablets every 4-6 hours," it would have been interpreted as "take 1 tablet every 6 hours." Recoding of this variable would subsequently reflect that most conservative interpretation, resulting in a value of "4" here and a code of "times per day" on JX9009RE. The WLS will make the originally reported ranges available upon request.

jx9009re: Time units: How often does the label on your 2nd medication say you should take it?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_c_n, y_hlh30a2_c_u
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 270 193 463
-4 NOT ASCERTAINED 0 1 1
-2 893 927 1820
1 TIMES PER DAY 1292 1709 3001
2 TIMES PER WEEK 19 71 90
3 TIMES PER MONTH 2 9 11
4 TIMES PER YEAR 2 3 5
Note: In a very small number of cases, participants reported a range in response to the question, "how often does the label say you should take this medication?" Whenever this occurred, this variable was coded to reflect the most conservative interpretation possible. If, for example, a participant reported that their medication's label read, "take 1-2 tablets every 4-6 hours," it would have been interpreted as "take 1 tablet every 6 hours." Recoding of this variable would subsequently reflect that most conservative interpretation, resulting in a value of "4" on JXH009RE and a code of "times per day" here. The WLS will make the originally reported ranges available upon request.

jxh010re: What is the main reason you are taking your 2nd medication? These are ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_d, c_y_hlh30a2_d
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 152 298
-18 COULD NOT CODE 11 10 21
-4 NOT ASCERTAINED 2 3 5
-2 727 730 1457
-1 DON'T KNOW 8 8 16
42 Human Immunodeficiency Virus (HIV) disease 2 0 2
53 Herpes zoster 1 1 2
54 Herpes simplex 0 3 3
136 Other and unspecified infectious and parasitic diseases 1 0 1
174 Malignant neoplasm of female breast 0 8 8
185 Malignant neoplasm of prostate 2 0 2
199 Malignant neoplasm without specification of site 0 4 4
242 Thyrotoxicosis with or without goiter 0 2 2
244 Acquired hypothyroidism 4 12 16
246 Other disorders of thyroid 20 95 115
250 Diabetes mellitus 82 64 146
255 Disorders of adrenal glands 0 1 1
266 Deficiency of B-complex components 0 1 1
268 Vitamin D deficiency 2 5 7
272 Disorders of lipoid metabolism 250 274 524
274 Gout 29 8 37
277 Other and unspecified disorders of metabolism 0 2 2
283 Acquired hemolytic anemias 1 0 1
285 Other and unspecified anemias 1 3 4
286 Coagulation defects 1 1 2
296 Affective psychoses 0 1 1
300 Neurotic disorder 15 36 51
308 Acute reaction to stress 0 1 1
311 Depressive disorder, not elsewhere classified 14 30 44
314 Hyperkinetic syndrome of childhood 1 1 2
331 Other cerebral degenerations 2 1 3
332 Parkinson's disease 9 5 14
333 Other extrapyramidal disease and abnormal movement disorders 9 5 14
340 Multiple sclerosis 0 1 1
344 Other paralytic syndromes 1 1 2
345 Epilepsy 0 2 2
346 Migraine 0 9 9
349 Other and unspecified disorders of the nervous system 1 2 3
356 Hereditary and idiopathic peripheral neuropathy 4 11 15
358 Myoneural disorders 1 0 1
362 Other retinal disorders 0 4 4
365 Glaucoma 17 18 35
379 Other eye disorders 0 2 2
386 Vertiginous syndromes and other disorders of vestibular system 0 1 1
401 Essential hypertension 181 274 455
410 Acute myocardial infarction 4 1 5
427 Cardiac dysrhythmias 33 17 50
428 Heart failure 3 0 3
429 Ill-defined descriptions and complications of heart disease 5 7 12
436 Acute, but ill-defined, cerebrovascular disease 9 6 15
443 Other peripheral vascular disease 0 1 1
444 Arterial embolism and thrombosis 5 5 10
460 Acute nasopharyngitis [common cold] 2 1 3
472 Chronic pharyngitis and nasopharyngitis 0 1 1
473 Chronic sinusitis 0 1 1
477 Allergic rhinitis 0 2 2
492 Emphysema 1 4 5
493 Asthma 10 16 26
496 Chronic airway obstruction, not elsewhere specified 4 10 14
518 Other diseases of lung 1 0 1
528 Diseases of the oral soft tissues, excluding lesions specific for gingiva and tongue 0 3 3
530 Diseases of esophagus 38 54 92
533 Peptic ulcer, site unspecified 2 4 6
535 Gastritis and duodenitis 1 1 2
553 Other hernia of abdominal cavity without mention of obstruction or gangrene 1 0 1
555 Regional enteritis 0 4 4
556 Idiopathic proctocolitis 1 2 3
558 Other noninfectious gastroenteritis and colitis 1 3 4
562 Diverticula of intestine 1 0 1
564 Functional digestive disorders, not elsewhere classified 1 2 3
571 Chronic liver disease and cirrhosis 0 1 1
573 Other disorders of liver 1 0 1
574 Cholelithiasis 1 0 1
586 Renal failure, unspecified 0 1 1
592 Calculus of kidney and ureter 3 0 3
593 Other disorders of kidney and ureter 1 0 1
600 Hyperplasia of prostate 21 0 21
625 Pain and other symptoms associated with female genital organs 0 1 1
695 Erythematous conditions 2 4 6
696 Psoriasis and similar disorders 1 2 3
702 Other dermatoses 1 0 1
704 Diseases of hair and hair follicles 0 1 1
708 Urticaria 0 2 2
709 Other disorders of skin and subcutaneous tissue 0 1 1
710 Diffuse diseases of connective tissue 3 0 3
714 Rheumatoid arthritis and other inflammatory polyarthropathies 2 11 13
715 Osteoarthrosis and allied disorders 2 3 5
716 Other and unspecified arthropathies 17 27 44
719 Other and unspecified disorders of joint 12 13 25
724 Other and unspecified disorders of back 8 9 17
727 Other disorders of synovium, tendon, and bursa 0 1 1
728 Disorders of muscle, ligament, and fiscia 2 4 6
729 Other disorders of soft tissues 1 3 4
733 Other disorders of bone and cartilage 3 46 49
784 Symptoms involving head and neck 5 6 11
786 Symptoms involving respiratory system and other chest symptoms 0 1 1
799 Other ill-defined and unknown cause of morbidity and mortality 0 4 4
891 Open wound of knee, leg [except thigh], and ankle 0 1 1
996 Complications peculiar to certain specified procedures 3 0 3
1126 Temperament and personality functions 0 1 1
1130 Energy and drive functions 1 4 5
1134 Sleep functions 11 29 40
1144 Memory functions 1 1 2
1152 Emotional functions 0 4 4
1210 Seeing functions 1 0 1
1220 Sensations associated with the eye and adjoining structures 5 8 13
1229 Seeing and related functions, other specified and unspecified 2 2 4
1230 Hearing functions 1 0 1
1240 Sensations associated with hearing and vestibular function 3 7 10
1249 Hearing and vestibular functions, other specified and unspecified 0 1 1
1280 Sensation of pain 12 18 30
1410 Heart functions 109 63 172
1415 Blood vessel functions 5 3 8
1420 Blood pressure functions 281 260 541
1429 Functions of the cardiovascular system, other specified and unspecified 16 10 26
1435 Immunological system functions 22 40 62
1440 Respiration functions 2 4 6
1450 Additional respiratory functions 10 8 18
1455 Exercise tolerance functions 1 0 1
1460 Sensations associated with cardiovascular and respiratory functions 10 17 27
1499 Functions of the cardiovascular, haematological, immunological and respiratory systems, unspecified 53 26 79
1510 Ingestion functions 0 1 1
1520 Assimilation functions 3 1 4
1525 Defecation functions 10 9 19
1530 Weight maintenance functions 1 0 1
1535 Sensations associated with the digestive system 21 26 47
1539 Functions related to the digestive system, other specified and unspecified 5 6 11
1540 General metabolic functions 0 1 1
1545 Water, mineral and electrolyte balance functions 14 53 67
1555 Endocrine gland functions 0 10 10
1559 Functions related to metabolism and the endocrine system, other specified and unspecified 1 0 1
1610 Urinary excretory functions 2 1 3
1620 Urination functions 20 18 38
1640 Sexual functions 7 2 9
1670 Sensations associated with genital and reproductive functions 0 9 9
1679 Genital and reproductive functions, other specified and unspecified 28 6 34
1729 Functions of the joints and bones, other specified and unspecified 9 63 72
1749 Muscle functions, other specified and unspecified 1 0 1
1765 Involuntary movement functions 3 8 11
1780 Sensations related to muscles and movement functions 1 3 4
1799 Neuromusculoskeletal and movement-related functions, unspecified 0 1 1
1840 Sensation related to the skin 0 4 4
2320 Structure of mouth 0 4 4
2520 Structure of oesophagus 0 1 1
2840 Structure of hair 0 1 1
3570 Looking after one's health 30 65 95
4355 Health professionals 6 11 17
4360 Other professionals 1 0 1
4410 Individual attitudes of immediate family members 1 0 1
5947 Other And Unspecified Drugs And Medicinal Substances Causing Adverse Effects In Therapeutic Use 1 3 4
6007 Need For Isolation And Other Prophylactic Measures 0 4 4
6018 Family History Of Certain Other Specific Conditions 0 2 2
6058 Encounter For Other And Unspecified Procedures And Aftercare 2 0 2
7000 Procedures and Interventions, NEC 0 2 2
7006 Operations on thyroid and parathyroid glands 1 3 4
7013 Operations on lens 0 1 1
7036 Operations on vessels of heart 2 1 3
7037 Other operations on heart and pericardium 2 1 3
7048 Operations on rectum, restosigmoid, and perirectal tissue 1 0 1
7055 Operations on kidney 1 0 1
7065 Operations on ovary 0 1 1
7068 Other incision and excision of uterus 0 1 1
7081 Repair and plastic operations on joint structures 1 5 6
Note: See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jx9010re: What is the main reason you are taking your 2nd medication? These are collapsed ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_d, c_y_hlh30a2_d

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 146 152 298
-18 NOT CODEABLE 11 10 21
-4 NOT ASCERTAINED 2 3 5
-2 727 730 1457
-1 DON'T KNOW 8 8 16
10 Infectious and Parasitic Diseases 4 4 8
20 Neoplasms 2 12 14
30 Endocrine, Nutritional, Metabolic, Immunity 387 464 851
40 Blood and Blood-Forming Organs 3 4 7
50 Mental Disorders 30 69 99
60 Nervous System and Sense Organs 44 62 106
70 Circulatory System 240 311 551
80 Respiratory System 18 35 53
90 Digestive System 48 74 122
100 Genitourinary system 25 2 27
120 Skin and Subcutaneous Tissue 4 10 14
130 Musculoskeletal System and Connective Tissue 50 117 167
160 Symptoms, Signs, and Ill-Defined Conditions 5 11 16
170 Injury and Poisoning 3 1 4
180 ICD-9 E Codes 1 3 4
190 ICD-9 V Codes 2 6 8
200 ICD-9 Volume 3 Headings 8 15 23
210 ICF Body Functions 672 728 1400
220 ICF Body Structures 0 6 6
230 ICF Activities and Participation 30 65 95
240 ICF Environmental Factors 8 11 19
Note: This variable collapses the ICD-9 and ICF codes used at JXH010RE into categories. See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jxh011re: How many times did you take your 2nd medication yesterday?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_e

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 69 85 154
-4 NOT ASCERTAINED 1 1 2
-2 727 730 1457
-1 DON'T KNOW 0 1 1
0 DID NOT TAKE YESTERDAY 50 120 170
1 1329 1630 2959
2 267 309 576
3 22 26 48
4 11 8 19
5 0 2 2
6 2 1 3
Note: Rounded up to the nearest integer number of times the medication was taken.

jxh012re: Century-month Participant began taking 2nd medication.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a2_f, y_hlh30a2_g

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 225 315 540
-4 NOT ASCERTAINED 0 1 1
-2 727 730 1457
-1 DON'T KNOW 47 110 157
592 - 1148 282 365 647
1149 - 1225 299 351 650
1226 - 1278 338 371 709
1279 - 1314 321 334 655
1315 - 1362 239 336 575
Note: Century-months are the months elapsed since the beginning of the year 1900. July of 1995 would, for example, represent century-month 1147 (since 95 full years have elapsed since the beginning of 1900 and July is 7 months into the year 1995, multiplying 95 by the 12 months there are in each year and adding 7 yields 1147).
Note: If the participant does not report the month they began taking their medication but does provide the year, June (as the middlemost month) is used to calculate the century-month they began taking it. For example, if a participant only tells us that they began taking their medication in 2007, the century-month would be calculated as 1290 (since 2007 represents 107 full years elapsed since the beginning of 1900 and June is the 6th month of the year, multiplying 107 by 12 and adding 6 yields 1290).

jxh013re: What is the name on the label of the 3rd medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
"" System missing - NR 2513 2413 4926
"-2" 990 1000 1990
"-29" LEFT BLANK ON SAQ 3 3 6
"Cyclophosphamide" 1 0 1
"Hydralazine" 1 2 3
"Lisinop.Hc TZ" 0 1 1
"Multiple Vitamin" 0 1 1
"Predinsane" 1 0 1
"asperin" 0 1 1
"diltazem" 1 0 1
"pseudoephedrine" 0 1 1
"sinvastatin" 1 0 1
"tobbacho" 1 0 1
Note: Only 13 of 1599 values are listed.

jxh013cn: What is the code for the 3rd medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 3 3 6
-4 NOT ASCERTAINED 34 27 61
-2 990 1000 1990
1 acyclovir 0 1 1
2 amiodarone 4 3 7
4 atenolol 35 42 77
13 enalapril 11 1 12
15 ibuprofen 11 14 25
18 nadolol 0 4 4
19 naproxen 10 15 25
21 ranitidine 10 7 17
22 warfarin 35 8 43
23 allopurinol 25 9 34
24 azathioprine 0 2 2
31 probenecid 1 0 1
32 propranolol 1 3 4
33 sulindac 1 2 3
36 cyclophosphamide 1 0 1
37 doxycycline 2 2 4
39 indomethacin 2 0 2
43 clindamycin 0 1 1
44 clonidine 3 9 12
45 diltiazem 13 9 22
48 verapamil 4 8 12
49 acetaminophen 2 11 13
51 nifedipine 2 5 7
58 carbamazepine 0 3 3
60 methotrexate 1 9 10
68 ethambutol 1 0 1
70 furosemide 21 18 39
86 amantadine 1 0 1
88 amoxicillin 3 3 6
96 cephalexin 0 1 1
97 clarithromycin 0 1 1
108 metronidazole 1 1 2
110 minocycline 1 1 2
112 nitrofurantoin 0 2 2
124 sulfamethoxazole-trimethoprim 1 1 2
132 hydralazine 3 2 5
133 methyldopa 1 0 1
134 metoprolol 64 47 111
137 pindolol 0 1 1
139 timolol 1 1 2
140 cimetidine 1 1 2
141 famotidine 1 1 2
143 phenytoin 0 2 2
144 nortriptyline 1 0 1
146 amitriptyline 2 6 8
148 diazepam 2 0 2
149 lorazepam 3 9 12
150 colchicine 0 1 1
161 acetazolamide 1 0 1
168 alprazolam 4 17 21
169 amiloride 1 0 1
170 aspirin 96 110 206
179 bumetanide 1 3 4
181 bupropion 0 6 6
191 chlorpheniramine 1 0 1
192 chlorthalidone 1 5 6
193 cholestyramine 0 2 2
197 clonazepam 3 6 9
206 dexamethasone 0 1 1
208 diflunisal 0 1 1
210 digoxin 6 1 7
212 diphenhydramine 1 5 6
213 dipyridamole 1 0 1
217 doxepin 0 1 1
231 felodipine 2 0 2
234 flecainide 2 4 6
235 fluorouracil 1 0 1
236 fluoxetine 5 10 15
238 flurazepam 0 1 1
241 folic acid 7 5 12
242 fosinopril 2 2 4
245 gemfibrozil 8 3 11
246 glipizide 14 7 21
248 glyburide 6 7 13
253 hydrochlorothiazide 40 41 81
254 hydrocortisone 1 0 1
260 indapamide 1 3 4
265 ipratropium 0 1 1
268 isosorbide dinitrate 0 1 1
269 isosorbide mononitrate 3 3 6
278 levothyroxine 15 82 97
280 lovastatin 16 29 45
290 methimazole 0 1 1
293 methylprednisolone 1 0 1
300 mexiletine 1 0 1
310 nabumetone 0 1 1
314 niacin 18 8 26
321 nitroglycerin 0 1 1
325 omeprazole 33 49 82
328 oxybutynin 2 5 7
329 oxycodone 2 2 4
343 piroxicam 0 1 1
345 potassium chloride 12 18 30
348 pravastatin 14 20 34
350 prednisone 6 5 11
352 primidone 2 1 3
358 propafenone 3 2 5
361 propylthiouracil 0 1 1
363 pyridostigmine 1 0 1
365 quinapril 9 3 12
371 sotalol 3 0 3
373 spironolactone 2 3 5
381 tamoxifen 0 1 1
384 temazepam 2 2 4
386 terazosin 19 1 20
395 trazodone 1 4 5
396 triamterene 2 4 6
397 triazolam 0 1 1
405 vitamin e 4 4 8
413 cyanocobalamin 4 8 12
425 calcium carbonate 6 45 51
426 ascorbic acid 4 9 13
440 sodium bicarbonate 1 0 1
484 selenium 2 0 2
488 lysine 0 1 1
497 omega-3 polyunsaturated fatty acids 30 28 58
537 estradiol 0 7 7
541 conjugated estrogens 0 14 14
550 progesterone 0 1 1
558 testosterone 1 0 1
563 finasteride 8 0 8
653 isosorbide 2 4 6
655 thyroid desiccated 1 3 4
683 lidocaine topical 2 0 2
689 amlodipine 39 44 83
709 bisoprolol 2 1 3
726 doxazosin 13 3 16
728 ramipril 5 5 10
730 benazepril 3 9 12
732 lisinopril 69 58 127
746 simvastatin 96 84 180
749 albuterol 6 13 19
769 pseudoephedrine 0 2 2
773 tetrahydrozoline ophthalmic 1 0 1
787 promethazine 0 1 1
797 guaifenesin 1 1 2
817 hydroxychloroquine 3 4 7
848 diclofenac 3 0 3
851 etodolac 1 1 2
859 meclizine 1 0 1
880 sertraline 4 16 20
897 loxapine 0 1 1
900 methylphenidate 0 2 2
907 hydroxyzine 0 2 2
910 zolpidem 6 9 15
960 carisoprodol 0 2 2
963 cyclobenzaprine 1 2 3
985 hyoscyamine 1 0 1
999 dicyclomine 0 3 3
1002 pancrelipase 1 0 1
1005 ursodiol 0 1 1
1017 polycarbophil 0 1 1
1018 psyllium 0 2 2
1021 docusate 2 3 5
1025 loperamide 1 2 3
1031 mesalamine 1 1 2
1187 levobunolol ophthalmic 0 1 1
1233 nystatin 0 1 1
1288 clobetasol topical 0 4 4
1293 fluocinolone topical 0 2 2
1296 fluticasone 6 10 16
1423 potassium citrate 0 1 1
3050 loratadine 4 10 14
3052 hydrochlorothiazide-triamterene 4 18 22
3075 hydrocodone 2 3 5
3126 calcitriol 1 1 2
3129 cholecalciferol 14 26 40
3130 thiamine 1 0 1
3137 calcium-vitamin d 7 39 46
3140 multivitamin 22 40 62
3141 multivitamin with iron 1 3 4
3145 multivitamin with minerals 7 33 40
3148 multivitamin, prenatal 0 1 1
3157 paroxetine 3 10 13
3160 sumatriptan 1 2 3
3181 venlafaxine 2 6 8
3182 gabapentin 4 8 12
3189 torsemide 0 1 1
3208 metronidazole topical 1 0 1
3221 prednisolone ophthalmic 0 1 1
3238 ethinyl estradiol-norethindrone 0 1 1
3247 hydrochlorothiazide-spironolactone 0 2 2
3258 atenolol-chlorthalidone 2 1 3
3265 benazepril-hydrochlorothiazide 1 0 1
3266 hydrochlorothiazide-lisinopril 4 16 20
3289 acetaminophen-pseudoephedrine 0 1 1
3298 chlorpheniramine-pseudoephedrine 0 1 1
3353 hydrocodone-phenylpropanolamine 0 1 1
3379 guaifenesin-pseudoephedrine 0 2 2
3423 acetaminophen-codeine 0 1 1
3428 acetaminophen-hydrocodone 2 7 9
3431 acetaminophen-oxycodone 0 1 1
3439 acetaminophen/aspirin/caffeine 1 1 2
3445 acetaminophen-diphenhydramine 0 1 1
3473 carbidopa-levodopa 6 1 7
3485 atropine/hyoscyamine/pb/scopolamine 1 0 1
3506 atropine-diphenoxylate 0 2 2
3524 bacitracin/neomycin/polymyxin b topical 1 0 1
3593 calcium carbonate-magnesium carbonate 0 1 1
3663 lecithin 1 0 1
3689 calcium acetate 1 0 1
3740 enalapril-hydrochlorothiazide 1 1 2
3744 bisoprolol-hydrochlorothiazide 2 1 3
3768 ocular lubricant 1 0 1
3788 calcipotriene topical 0 1 1
3796 magnesium chloride 0 1 1
3797 magnesium oxide 0 2 2
3805 dorzolamide ophthalmic 1 1 2
3807 metformin 41 35 76
3821 losartan 15 16 31
3823 iron polysaccharide 0 1 1
3824 ferrous sulfate 1 8 9
3826 tramadol 3 5 8
3827 cetirizine 4 7 11
3828 lansoprazole 3 2 5
3829 amlodipine-benazepril 5 5 10
3830 hydrochlorothiazide-losartan 1 6 7
3838 valacyclovir 0 1 1
3839 mycophenolate mofetil 1 2 3
3847 carvedilol 10 8 18
3849 alendronate 6 25 31
3864 glimepiride 3 4 7
3866 calcium citrate 0 5 5
3873 anastrozole 0 5 5
4011 interferon beta-1a 0 1 1
4012 terbinafine 0 1 1
4017 latanoprost ophthalmic 2 2 4
4025 mirtazapine 1 3 4
4037 timolol ophthalmic 0 1 1
4040 fexofenadine 4 5 9
4048 brimonidine ophthalmic 0 1 1
4049 ammonium lactate topical 1 0 1
4050 olanzapine 0 2 2
4066 albuterol-ipratropium 0 2 2
4099 donepezil 3 1 4
4105 atorvastatin 27 25 52
4113 valsartan 9 13 22
4117 olopatadine ophthalmic 1 0 1
4121 tamsulosin 16 0 16
4145 pramipexole 0 3 3
4156 letrozole 0 4 4
4210 estradiol topical 0 4 4
4215 ropinirole 1 2 3
4220 quetiapine 1 1 2
4222 irbesartan 5 7 12
4223 mometasone nasal 1 1 2
4233 triamcinolone nasal 1 0 1
4245 hydrochlorothiazide-irbesartan 0 1 1
4253 zolmitriptan 0 1 1
4258 clopidogrel 26 10 36
4261 raloxifene 0 5 5
4267 repaglinide 0 1 1
4270 fexofenadine-pseudoephedrine 0 1 1
4271 diclofenac-misoprostol 1 0 1
4283 fluticasone nasal 3 4 7
4286 fenofibrate 11 8 19
4289 montelukast 3 4 7
4293 hydrochlorothiazide-valsartan 1 1 2
4294 tolterodine 0 7 7
4299 sildenafil 8 0 8
4300 risedronate 0 2 2
4301 brinzolamide ophthalmic 1 1 2
4303 dorzolamide-timolol ophthalmic 0 1 1
4322 candesartan 2 0 2
4332 citalopram 8 16 24
4349 leflunomide 0 1 1
4364 telmisartan 0 1 1
4365 etanercept 0 1 1
4370 insulin isophane 1 0 1
4373 insulin lispro 2 1 3
4375 estradiol-norethindrone 0 1 1
4376 abacavir 1 0 1
4380 celecoxib 2 7 9
4396 conjugated estrogens topical 0 3 3
4397 fluoride topical 1 0 1
4408 st. john's wort 0 1 1
4411 garlic 0 1 1
4413 ginkgo 1 3 4
4415 saw palmetto 4 0 4
4418 glucosamine 6 4 10
4419 chondroitin 0 1 1
4420 chondroitin-glucosamine 3 7 10
4426 red yeast rice 1 0 1
4434 rosiglitazone 0 1 1
4442 pioglitazone 4 2 6
4448 rabeprazole 1 3 4
4459 dofetilide 0 1 1
4460 entacapone 1 0 1
4461 exemestane 0 1 1
4463 grape seed oil 1 0 1
4491 flax 0 1 1
4497 aspirin-dipyridamole 2 0 2
4514 pantoprazole 1 8 9
4523 ubiquinone 0 3 3
4532 meloxicam 1 7 8
4539 fosinopril-hydrochlorothiazide 0 1 1
4572 formoterol 1 0 1
4611 fluticasone-salmeterol 4 6 10
4695 colesevelam 0 1 1
4697 insulin aspart 0 1 1
4703 glyburide-metformin 1 1 2
4711 candesartan-hydrochlorothiazide 0 1 1
4722 diclofenac topical 0 1 1
4749 esomeprazole 10 9 19
4750 galantamine 1 0 1
4753 travoprost ophthalmic 3 1 4
4754 bimatoprost ophthalmic 1 4 5
4766 acetaminophen-tramadol 0 1 1
4774 tenofovir 1 0 1
4787 lovastatin-niacin 1 0 1
4788 dutasteride 10 0 10
4795 budesonide-formoterol 1 4 5
4797 alfuzosin 2 0 2
4801 olmesartan 3 8 11
4812 escitalopram 1 3 4
4824 ezetimibe 8 10 18
4829 tiotropium 3 6 9
4836 cyclosporine ophthalmic 0 2 2
4851 rosuvastatin 26 18 44
4855 aprepitant 0 1 1
4878 hydrochlorothiazide-olmesartan 1 0 1
4899 memantine 0 2 2
4915 sertaconazole topical 0 1 1
5218 cinacalcet 0 1 1
5262 mometasone 1 0 1
5265 nebivolol 2 0 2
5283 brimonidine-timolol ophthalmic 0 3 3
5348 ezetimibe-simvastatin 5 6 11
5350 polyethylene glycol 3350 0 2 2
5355 duloxetine 2 8 10
5357 ibandronate 0 4 4
5413 solifenacin 2 0 2
5422 darifenacin 1 0 1
5436 insulin detemir 0 1 1
5508 pregabalin 0 1 1
5702 methylsulfonylmethane 1 0 1
5703 chondroitin/glucosamine/methylsulfonylmethane 0 2 2
5719 ranolazine 0 1 1
5807 varenicline 1 0 1
5896 sitagliptin 2 3 5
6507 cinnamon 0 2 2
6665 aliskiren 1 0 1
6848 lutein 1 0 1
6860 oxygen 0 1 1
6867 biotin 0 3 3
7110 niacin-simvastatin 1 0 1
7132 olopatadine nasal 0 1 1
7162 fesoterodine 0 1 1
7395 dexlansoprazole 1 1 2
7397 febuxostat 1 0 1
7409 prasugrel 1 0 1
7546 dalfampridine 0 1 1
7634 dutasteride-tamsulosin 1 0 1
7640 denosumab 1 0 1
7645 onabotulinumtoxina 1 0 1

jxh014re: What is the dosage on the label of the 3rd medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_b
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
"" System missing - NR 2513 2413 4926
"-1" DON'T KNOW 7 4 11
"-2" 991 1000 1991
"-29" LEFT BLANK ON SAQ 75 148 223
"-4" NOT ASCERTAINED 1 0 1
"1 mg" 14 15 29
"1000 mg." 1 0 1
"150 mcg" 0 3 3
"20 mg." 3 5 8
"20 mgm" 0 1 1
"5 mgs" 0 1 1
"50 mgm" 1 1 2
"600-200 mg unit" 0 1 1
"750 mg" 4 4 8
"not shown?" 1 0 1
Note: Only 15 of 797 values are listed.

jxh015re: Numeric component: How often does the label on your 3rd medication say you should take it?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_c_n
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-4 NOT ASCERTAINED 54 68 122
-2 991 1000 1991
0.50 - 1 966 1212 2178
1.50 - 3 270 326 596
3.50 - 24 40 77 117
777 WEEKLY 2 8 10
888 DAILY 94 103 197
999 AS NEEDED 61 119 180
Note: Rounded to the nearest 0.25.
Note: In a very small number of cases, participants reported a range in response to the question, "how often does the label say you should take this medication?" Whenever this occurred, this variable was coded to reflect the most conservative interpretation possible. If, for example, a participant reported that their medication's label read, "take 1-2 tablets every 4-6 hours," it would have been interpreted as "take 1 tablet every 6 hours." Recoding of this variable would subsequently reflect that most conservative interpretation, resulting in a value of "4" here and a code of "times per day" on JX9015RE. The WLS will make the originally reported ranges available upon request.

jx9015re: Time units: How often does the label on your 3rd medication say you should take it?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_c_n, y_hlh30a3_c_u
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 238 198 436
-4 NOT ASCERTAINED 2 4 6
-2 1148 1230 2378
1 TIMES PER DAY 1068 1405 2473
2 TIMES PER WEEK 18 67 85
3 TIMES PER MONTH 2 9 11
4 TIMES PER YEAR 2 0 2
Note: In a very small number of cases, participants reported a range in response to the question, "how often does the label say you should take this medication?" Whenever this occurred, this variable was coded to reflect the most conservative interpretation possible. If, for example, a participant reported that their medication's label read, "take 1-2 tablets every 4-6 hours," it would have been interpreted as "take 1 tablet every 6 hours." Recoding of this variable would subsequently reflect that most conservative interpretation, resulting in a value of "4" on JXH015RE and a code of "times per day" here. The WLS will make the originally reported ranges available upon request.

jxh016re: What is the main reason you are taking your 3rd medication? These are ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_d, c_y_hlh30a3_d
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 154 161 315
-18 COULD NOT CODE 12 12 24
-4 NOT ASCERTAINED 4 1 5
-2 991 1000 1991
-1 DON'T KNOW 13 5 18
31 Diseases due to other mycobacteria 1 0 1
42 Human Immunodeficiency Virus (HIV) disease 2 0 2
53 Herpes zoster 0 1 1
54 Herpes simplex 0 1 1
110 Dermatophytosis 0 1 1
117 Other mycoses 0 2 2
136 Other and unspecified infectious and parasitic diseases 2 2 4
155 Malignant neoplasm of liver and intrahepatic bile ducts 1 0 1
173 Other malignant neoplasm of skin 1 0 1
174 Malignant neoplasm of female breast 0 8 8
193 Malignant neoplasm of thyroid gland 0 2 2
199 Malignant neoplasm without specification of site 2 4 6
203 Multiple myeloma and immunoproliferative neoplasms 0 1 1
242 Thyrotoxicosis with or without goiter 0 1 1
244 Acquired hypothyroidism 1 9 10
246 Other disorders of thyroid 11 66 77
250 Diabetes mellitus 57 54 111
266 Deficiency of B-complex components 1 3 4
268 Vitamin D deficiency 0 4 4
272 Disorders of lipoid metabolism 218 209 427
274 Gout 20 9 29
277 Other and unspecified disorders of metabolism 0 1 1
283 Acquired hemolytic anemias 1 0 1
285 Other and unspecified anemias 0 5 5
286 Coagulation defects 2 1 3
290 Senile and presenile organic psychotic conditions 1 0 1
300 Neurotic disorder 14 52 66
308 Acute reaction to stress 1 1 2
311 Depressive disorder, not elsewhere classified 16 28 44
314 Hyperkinetic syndrome of childhood 0 1 1
331 Other cerebral degenerations 1 0 1
332 Parkinson's disease 8 4 12
333 Other extrapyramidal disease and abnormal movement disorders 3 10 13
340 Multiple sclerosis 0 2 2
346 Migraine 1 4 5
356 Hereditary and idiopathic peripheral neuropathy 1 9 10
358 Myoneural disorders 1 0 1
362 Other retinal disorders 2 1 3
365 Glaucoma 5 14 19
380 Disorders of external ear 0 1 1
401 Essential hypertension 92 154 246
410 Acute myocardial infarction 4 3 7
413 Angina pectoris 2 0 2
414 Other forms of chronic ischemic heart disease 2 0 2
427 Cardiac dysrhythmias 25 12 37
428 Heart failure 0 1 1
429 Ill-defined descriptions and complications of heart disease 10 4 14
435 Transient cerebral ischemia 0 1 1
436 Acute, but ill-defined, cerebrovascular disease 10 7 17
444 Arterial embolism and thrombosis 9 3 12
460 Acute nasopharyngitis [common cold] 0 2 2
477 Allergic rhinitis 2 1 3
492 Emphysema 1 3 4
493 Asthma 12 21 33
496 Chronic airway obstruction, not elsewhere specified 5 10 15
530 Diseases of esophagus 29 53 82
533 Peptic ulcer, site unspecified 2 2 4
535 Gastritis and duodenitis 1 1 2
553 Other hernia of abdominal cavity without mention of obstruction or gangrene 2 2 4
555 Regional enteritis 0 1 1
556 Idiopathic proctocolitis 0 1 1
558 Other noninfectious gastroenteritis and colitis 1 1 2
564 Functional digestive disorders, not elsewhere classified 0 4 4
573 Other disorders of liver 0 1 1
586 Renal failure, unspecified 0 1 1
592 Calculus of kidney and ureter 0 2 2
593 Other disorders of kidney and ureter 2 0 2
594 Calculus of lower urinary tract 1 0 1
595 Cystitis 0 2 2
600 Hyperplasia of prostate 13 0 13
692 Contact dermatitis and other eczema 0 2 2
695 Erythematous conditions 1 2 3
696 Psoriasis and similar disorders 1 2 3
703 Diseases of nail 1 0 1
708 Urticaria 1 1 2
710 Diffuse diseases of connective tissue 2 5 7
712 Crystal arthropathies 0 1 1
714 Rheumatoid arthritis and other inflammatory polyarthropathies 3 10 13
715 Osteoarthrosis and allied disorders 1 3 4
716 Other and unspecified arthropathies 9 41 50
719 Other and unspecified disorders of joint 12 13 25
724 Other and unspecified disorders of back 6 10 16
725 Polymyalgia rheumatica 1 3 4
728 Disorders of muscle, ligament, and fiscia 3 4 7
729 Other disorders of soft tissues 0 6 6
733 Other disorders of bone and cartilage 4 32 36
757 Congenital anomalies of the integument 0 1 1
784 Symptoms involving head and neck 4 3 7
786 Symptoms involving respiratory system and other chest symptoms 0 1 1
789 Other Symptoms involving abdomen and pelvis 1 0 1
791 Nonspecific findings on examination of urine 0 1 1
844 Sprains and strains of knee and leg 1 0 1
919 Superficial injury of other, multiple, and unspecified sites 1 0 1
996 Complications peculiar to certain specified procedures 1 1 2
1130 Energy and drive functions 2 4 6
1134 Sleep functions 16 25 41
1144 Memory functions 2 4 6
1147 Psychomotor functions 0 2 2
1152 Emotional functions 1 5 6
1210 Seeing functions 1 0 1
1220 Sensations associated with the eye and adjoining structures 4 5 9
1229 Seeing and related functions, other specified and unspecified 6 4 10
1230 Hearing functions 0 1 1
1240 Sensations associated with hearing and vestibular function 1 2 3
1249 Hearing and vestibular functions, other specified and unspecified 0 1 1
1280 Sensation of pain 24 27 51
1410 Heart functions 105 81 186
1415 Blood vessel functions 4 3 7
1420 Blood pressure functions 185 186 371
1429 Functions of the cardiovascular system, other specified and unspecified 8 7 15
1435 Immunological system functions 16 37 53
1440 Respiration functions 1 4 5
1445 Respiratory muscle functions 1 1 2
1450 Additional respiratory functions 4 11 15
1460 Sensations associated with cardiovascular and respiratory functions 5 7 12
1499 Functions of the cardiovascular, haematological, immunological and respiratory systems, unspecified 58 26 84
1515 Digestive functions 1 0 1
1525 Defecation functions 3 10 13
1535 Sensations associated with the digestive system 21 20 41
1539 Functions related to the digestive system, other specified and unspecified 9 15 24
1540 General metabolic functions 0 1 1
1545 Water, mineral and electrolyte balance functions 22 38 60
1555 Endocrine gland functions 0 8 8
1610 Urinary excretory functions 2 1 3
1620 Urination functions 21 16 37
1640 Sexual functions 6 6 12
1670 Sensations associated with genital and reproductive functions 0 14 14
1679 Genital and reproductive functions, other specified and unspecified 33 3 36
1729 Functions of the joints and bones, other specified and unspecified 13 86 99
1765 Involuntary movement functions 3 3 6
1780 Sensations related to muscles and movement functions 2 1 3
1840 Sensation related to the skin 1 2 3
1849 Functions of the skin, other specified and unspecified 1 4 5
2110 Structure of brain 1 0 1
2199 Structure of the nervous system, unspecified 0 1 1
2320 Structure of mouth 0 2 2
2810 Structure of areas of skin 0 1 1
2830 Structure of nails 0 3 3
3570 Looking after one's health 43 83 126
3770 Intimate relationships 0 1 1
4355 Health professionals 10 12 22
5947 Other And Unspecified Drugs And Medicinal Substances Causing Adverse Effects In Therapeutic Use 3 4 7
6007 Need For Isolation And Other Prophylactic Measures 0 1 1
6018 Family History Of Certain Other Specific Conditions 0 2 2
6058 Encounter For Other And Unspecified Procedures And Aftercare 1 0 1
7000 Procedures and Interventions, NEC 1 0 1
7006 Operations on thyroid and parathyroid glands 0 2 2
7013 Operations on lens 0 1 1
7024 Other operations on teeth, gums, and alveoli 1 1 2
7035 Operations on valves and septa of heart 1 0 1
7036 Operations on vessels of heart 6 0 6
7037 Other operations on heart and pericardium 1 0 1
7055 Operations on kidney 1 0 1
7059 Other operations on urinary tract 1 0 1
7081 Repair and plastic operations on joint structures 0 3 3
Note: See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jx9016re: What is the main reason you are taking your 3rd medication? These are collapsed ICD-9 and ICF codes.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_d, c_y_hlh30a3_d

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 154 161 315
-18 NOT CODEABLE 12 12 24
-4 NOT ASCERTAINED 4 1 5
-2 991 1000 1991
-1 DON'T KNOW 13 5 18
10 Infectious and Parasitic Diseases 5 7 12
20 Neoplasms 4 15 19
30 Endocrine, Nutritional, Metabolic, Immunity 308 356 664
40 Blood and Blood-Forming Organs 3 6 9
50 Mental Disorders 32 82 114
60 Nervous System and Sense Organs 22 45 67
70 Circulatory System 154 185 339
80 Respiratory System 20 37 57
90 Digestive System 35 66 101
100 Genitourinary system 16 5 21
120 Skin and Subcutaneous Tissue 4 7 11
130 Musculoskeletal System and Connective Tissue 41 128 169
140 Congenital Anomalies 0 1 1
160 Symptoms, Signs, and Ill-Defined Conditions 5 5 10
170 Injury and Poisoning 3 1 4
180 ICD-9 E Codes 3 4 7
190 ICD-9 V Codes 1 3 4
200 ICD-9 Volume 3 Headings 12 7 19
210 ICF Body Functions 582 671 1253
220 ICF Body Structures 1 7 8
230 ICF Activities and Participation 43 84 127
240 ICF Environmental Factors 10 12 22
Note: This variable collapses the ICD-9 and ICF codes used at JXH016RE into categories. See cor867 in Appendix R for ICD-9 and ICF codes as well as details regarding coding.

jxh017re: How many times did you take your 3rd medication yesterday?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_e

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 69 85 154
-2 991 1000 1991
0 DID NOT TAKE YESTERDAY 51 118 169
1 1095 1378 2473
2 239 272 511
3 25 44 69
4 7 15 22
5 1 0 1
6 0 1 1
Note: Rounded up to the nearest integer number of times the medication was taken.

jxh018re: Century-month Participant began taking 3rd medication.

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a3_f, y_hlh30a3_g

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 207 308 515
-2 991 1000 1991
-1 DON'T KNOW 50 108 158
620 - 1176 231 315 546
1177 - 1234 249 297 546
1235 - 1280 269 285 554
1281 - 1315 275 282 557
1316 - 1366 206 318 524
Note: Century-months are the months elapsed since the beginning of the year 1900. July of 1995 would, for example, represent century-month 1147 (since 95 full years have elapsed since the beginning of 1900 and July is 7 months into the year 1995, multiplying 95 by the 12 months there are in each year and adding 7 yields 1147).
Note: If the participant does not report the month they began taking their medication but does provide the year, June (as the middlemost month) is used to calculate the century-month they began taking it. For example, if a participant only tells us that they began taking their medication in 2007, the century-month would be calculated as 1290 (since 2007 represents 107 full years elapsed since the beginning of 1900 and June is the 6th month of the year, multiplying 107 by 12 and adding 6 yields 1290).

jxh019re: What is the name on the label of the 4th medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a4_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
"" System missing - NR 2513 2413 4926
"-2" 1257 1263 2520
"-29" LEFT BLANK ON SAQ 2 2 4
"Calcitrol" 1 0 1
"Calcium magnesium potassium" 1 0 1
"Finest Natoral Fish oil" 0 1 1
"Furosemide generic for lasix" 1 0 1
"Oxybutnin" 0 1 1
"Stool softener" 1 0 1
"Theophylline" 1 0 1
"Ventolin" 0 1 1
"Zantac" 2 1 3
"Zetia" 5 5 10
Note: Only 13 of 1472 values are listed.

jxh019cn: What is the code for the 4th medication you take?

Data source: Graduate Participant or Proxy      Collected in: 2011      Mode: Mail
Source variables: y_hlh30a4_a
*NOT AVAILABLE ON PUBLIC RELEASE*

Frequencies
Value Label Male Female Total
. System missing - NR 2513 2413 4926
-29 LEFT BLANK ON SAQ 2 2 4
-4 NOT ASCERTAINED 22 29 51
-2 1257 1263 2520
1 acyclovir 1 1 2
2 amiodarone 3 5 8
4 atenolol 17 22 39
6 captopril 0 1 1
11 ciprofloxacin 1 0 1
13 enalapril 4 10 14
15 ibuprofen 7 15 22
16 labetalol 1 1 2
18 nadolol 0 1 1
19 naproxen 8 11 19
21 ranitidine 5 9 14
22 warfarin 26 15 41
23 allopurinol 11 4 15
32 propranolol 1 2 3
39 indomethacin 1 0 1
40 oxazepam 1 0 1
41 tetracycline 0 2 2
44 clonidine 0 3 3
45 diltiazem 4 6 10
46 erythromycin 0 1 1
48 verapamil 3 6 9
49 acetaminophen 3 11 14
51 nifedipine 5 1 6
58 carbamazepine 1 1 2
60 methotrexate 1 2 3
70 furosemide 17 19 36
71 fluconazole 1 0 1
88 amoxicillin 2 1 3
91 azithromycin 1 1 2
96 cephalexin 1 0 1
108 metronidazole 0 1 1
112 nitrofurantoin 0 1 1
132 hydralazine 0 2 2
134 metoprolol 31 33 64
138 prazosin 1 0 1
139 timolol 3 4 7
140 cimetidine 0 1 1
141 famotidine 1 2 3
142 theophylline 1 1 2
143 phenytoin 2 0 2
145 desipramine 1 1 2
146 amitriptyline 1 7 8
148 diazepam 4 2 6
149 lorazepam 3 9 12
150 colchicine 1 0 1
168 alprazolam 2 6 8
169 amiloride 0 1 1
170 aspirin 111 107 218
179 bumetanide 1 0 1
181 bupropion 4 2 6
182 buspirone 0 1 1
189 chlordiazepoxide 0 1 1
191 chlorpheniramine 0 1 1
192 chlorthalidone 1 1 2
193 cholestyramine 0 1 1
197 clonazepam 0 2 2
210 digoxin 11 4 15
212 diphenhydramine 4 7 11
213 dipyridamole 1 0 1
217 doxepin 1 1 2
234 flecainide 1 1 2
236 fluoxetine 4 9 13
241 folic acid 4 7 11
242 fosinopril 1 2 3
245 gemfibrozil 4 4 8
246 glipizide 9 4 13
248 glyburide 3 3 6
253 hydrochlorothiazide 36 27 63
259 imipramine 0 2 2
260 indapamide 0 2 2
262 insulin 2 0 2
265 ipratropium 2 0 2
269 isosorbide mononitrate 5 0 5
270 isradipine 1 0 1
278 levothyroxine 20 48 68
280 lovastatin 6 18 24
284 medroxyprogesterone 0 1 1
290 methimazole 1 1 2
298 metoclopramide 1 1 2
299 metolazone 2 0 2
300 mexiletine 1 0 1
310 nabumetone 3 1 4
314 niacin 18 4 22
321 nitroglycerin 4 4 8
325 omeprazole 34 43 77
328 oxybutynin 1 4 5
329 oxycodone 0 1 1
340 phenobarbital 1 0 1
343 piroxicam 0 1 1
345 potassium chloride 9 24 33
348 pravastatin 11 10 21
350 prednisone 5 10 15
352 primidone 1 1 2
355 prochlorperazine 0 1 1
358 propafenone 1 1 2
365 quinapril 4 6 10
371 sotalol 3 0 3
373 spironolactone 3 3 6
379 sulfasalazine 2 0 2
384 temazepam 1 2 3
386 terazosin 7 0 7
395 trazodone 1 8 9
396 triamterene 0 4 4
405 vitamin e 4 9 13
412 pyridoxine 0 2 2
413 cyanocobalamin 4 4 8
425 calcium carbonate 6 41 47
426 ascorbic acid 4 6 10
439 citric acid-potassium citrate 0 1 1
488 lysine 0 1 1
497 omega-3 polyunsaturated fatty acids 18 39 57
537 estradiol 0 5 5
541 conjugated estrogens 0 3 3
543 estropipate 0 1 1
550 progesterone 0 2 2
558 testosterone 2 0 2
563 finasteride 14 0 14
598 calcitonin 0 2 2
620 triamcinolone 2 0 2
628 betamethasone 1 0 1
653 isosorbide 0 1 1
655 thyroid desiccated 0 1 1
689 amlodipine 35 32 67
709 bisoprolol 0 1 1
726 doxazosin 11 2 13
728 ramipril 4 6 10
730 benazepril 2 2 4
732 lisinopril 55 34 89
746 simvastatin 76 68 144
749 albuterol 4 10 14
760 beclomethasone 0 3 3
769 pseudoephedrine 0 1 1
797 guaifenesin 0 1 1
801 caffeine 1 0 1
817 hydroxychloroquine 2 3 5
842 salsalate 1 1 2
848 diclofenac 1 3 4
851 etodolac 0 1 1
859 meclizine 2 5 7
880 sertraline 2 7 9
890 trifluoperazine 1 0 1
907 hydroxyzine 1 0 1
910 zolpidem 5 9 14
963 cyclobenzaprine 2 7 9
966 orphenadrine 1 1 2
967 baclofen 0 1 1
985 hyoscyamine 0 1 1
991 clidinium 1 0 1
1010 cascara sagrada 0 1 1
1015 bisacodyl 1 0 1
1017 polycarbophil 1 3 4
1018 psyllium 1 1 2
1021 docusate 3 2 5
1025 loperamide 0 3 3
1027 simethicone 0 1 1
1031 mesalamine 1 1 2
1265 sulfacetamide sodium topical 1 0 1
1288 clobetasol topical 0 1 1
1291 desoximetasone topical 0 1 1
1296 fluticasone 3 9 12
3050 loratadine 6 3 9
3052 hydrochlorothiazide-triamterene 6 9 15
3075 hydrocodone 2 2 4
3126 calcitriol 2 1 3
3128 ergocalciferol 0 2 2
3129 cholecalciferol 14 49 63
3137 calcium-vitamin d 5 50 55
3140 multivitamin 24 52 76
3141 multivitamin with iron 2 0 2
3145 multivitamin with minerals 14 36 50
3148 multivitamin, prenatal 1 1 2
3154 doxylamine 0 1 1
3157 paroxetine 2 5 7
3160 sumatriptan 0 1 1
3180 risperidone 1 0 1
3181 venlafaxine 3 4 7
3182 gabapentin 3 5 8
3183 fluvastatin 1 0 1
3197 betamethasone topical 0 2 2
3206 triamcinolone topical 1 1 2
3208 metronidazole topical 1 0 1
3245 esterified estrogens-methyltestosterone 0 1 1
3265 benazepril-hydrochlorothiazide 1 2 3
3266 hydrochlorothiazide-lisinopril 4 4 8
3298 chlorpheniramine-pseudoephedrine 0 1 1
3428 acetaminophen-hydrocodone 3 2 5
3434 acetaminophen-propoxyphene 0 1 1
3445 acetaminophen-diphenhydramine 1 3 4
3449 aspirin-caffeine 0 1 1
3457 aspirin/butalbital/caffeine 0 1 1
3473 carbidopa-levodopa 2 3 5
3492 chlordiazepoxide-clidinium 0 1 1
3496 docusate-senna 0 1 1
3506 atropine-diphenoxylate 0 3 3
3520 naphazoline-pheniramine ophthalmic 1 0 1
3537 dexamethasone/neomycin/polymyxin b ophthalmic 0 1 1
3561 betamethasone-clotrimazole topical 1 0 1
3646 lactobacillus acidophilus and bulgaricus 0 1 1
3740 enalapril-hydrochlorothiazide 0 1 1
3744 bisoprolol-hydrochlorothiazide 1 0 1
3752 tacrolimus 1 0 1
3768 ocular lubricant 0 1 1
3788 calcipotriene topical 0 1 1
3802 calcium lactate 0 1 1
3804 fluvoxamine 0 1 1
3805 dorzolamide ophthalmic 1 0 1
3807 metformin 23 26 49
3809 lamotrigine 2 1 3
3818 loratadine-pseudoephedrine 0 2 2
3819 conjugated estrogens-medroxyprogesterone 0 1 1
3821 losartan 9 10 19
3823 iron polysaccharide 1 1 2
3824 ferrous sulfate 2 3 5
3826 tramadol 1 6 7
3827 cetirizine 1 5 6
3828 lansoprazole 3 1 4
3829 amlodipine-benazepril 1 1 2
3830 hydrochlorothiazide-losartan 0 4 4
3833 divalproex sodium 2 0 2
3847 carvedilol 16 6 22
3849 alendronate 3 18 21
3850 bicalutamide 1 0 1
3864 glimepiride 7 3 10
3866 calcium citrate 0 8 8
3873 anastrozole 0 4 4
3923 acetaminophen-phenylephrine 0 1 1
4008 trandolapril 0 1 1
4017 latanoprost ophthalmic 2 8 10
4025 mirtazapine 2 1 3
4037 timolol ophthalmic 0 2 2
4038 betaxolol ophthalmic 0 1 1
4040 fexofenadine 0 4 4
4052 pentosan polysulfate sodium 0 1 1
4058 melatonin 0 1 1
4066 albuterol-ipratropium 1 2 3
4068 azelastine nasal 1 2 3
4099 donepezil 0 1 1
4105 atorvastatin 20 26 46
4113 valsartan 5 17 22
4115 topiramate 0 1 1
4121 tamsulosin 17 0 17
4145 pramipexole 2 2 4
4156 letrozole 0 1 1
4215 ropinirole 2 1 3
4222 irbesartan 1 4 5
4223 mometasone nasal 4 4 8
4233 triamcinolone nasal 1 1 2
4245 hydrochlorothiazide-irbesartan 0 1 1
4248 methylcellulose 0 1 1
4258 clopidogrel 12 13 25
4261 raloxifene 0 5 5
4271 diclofenac-misoprostol 0 1 1
4276 budesonide 3 0 3
4279 flunisolide nasal 2 0 2
4283 fluticasone nasal 2 6 8
4286 fenofibrate 5 4 9
4289 montelukast 3 14 17
4293 hydrochlorothiazide-valsartan 1 1 2
4294 tolterodine 1 1 2
4299 sildenafil 4 0 4
4300 risedronate 0 4 4
4301 brinzolamide ophthalmic 0 1 1
4303 dorzolamide-timolol ophthalmic 1 0 1
4332 citalopram 4 7 11
4342 infliximab 2 2 4
4364 telmisartan 1 2 3
4365 etanercept 0 1 1
4370 insulin isophane 1 1 2
4372 insulin zinc extended 1 0 1
4380 celecoxib 5 6 11
4382 cilostazol 1 1 2
4396 conjugated estrogens topical 0 1 1
4411 garlic 2 2 4
4413 ginkgo 1 0 1
4415 saw palmetto 3 0 3
4418 glucosamine 3 9 12
4419 chondroitin 1 0 1
4420 chondroitin-glucosamine 6 11 17
4426 red yeast rice 0 1 1
4427 levalbuterol 2 0 2
4434 rosiglitazone 1 0 1
4441 ketotifen ophthalmic 1 0 1
4442 pioglitazone 4 4 8
4448 rabeprazole 0 1 1
4460 entacapone 1 0 1
4461 exemestane 0 2 2
4470 cranberry 0 3 3
4491 flax 0 4 4
4499 levetiracetam 0 1 1
4514 pantoprazole 5 8 13
4523 ubiquinone 6 4 10
4532 meloxicam 3 3 6
4538 insulin glargine 1 6 7
4572 formoterol 1 0 1
4611 fluticasone-salmeterol 6 6 12
4695 colesevelam 1 2 3
4697 insulin aspart 1 1 2
4700 balsalazide 0 1 1
4703 glyburide-metformin 1 0 1
4708 zoledronic acid 0 1 1
4743 nateglinide 0 2 2
4749 esomeprazole 4 8 12
4750 galantamine 1 0 1
4753 travoprost ophthalmic 0 3 3
4754 bimatoprost ophthalmic 1 3