Key Features
  • The Department of Veterans Affairs (VA) Million Veteran Program (MVP) is a national voluntary research programme designed to examine genetic influences on health with the goal of improving health for Veterans.

  • Enrollment began in 2011 and, by 20 September 2021, over 850 000 participants have enrolled. Data collection is ongoing with the goal of at least 1 million Veteran participants.

  • MVP Baseline and MVP Lifestyle Surveys are two self-reported surveys that collect participant-provided information to complement genetic and VA electronic health record (EHR) information. MVP Baseline Survey collects information on participant demographics, physical features, uniformed services experience, activities and habits, health status, medical history and health care usage, and family history. MVP Lifestyle Survey assesses personal information, personal habits, activities, psychosocial attributes and well-being, military and environmental experiences, men’s and women’s health, medication usage, vitamin intake, and dietary habits.

  • Among the first 850 736 enrollees (469 487 males and 43 362 females), 513 306 have completed the MVP Baseline Survey and 389 287 have completed the MVP Lifestyle Survey. In this paper we describe the MVP survey development and report overall survey characteristics.

  • Data are currently available to VA and VA-affiliated investigators through approved MVP research projects. Interested future research collaborators can contact MVP at [www.research.va.gov/mvp].

Data resource basics

Health surveys have been used for many years as a tool for determining risk factors and disease occurrence in populations.1 Self-reported investigations enable researchers to collect information on a population’s medical, social, economic and lifestyle history which often affect their health. Large-scale studies that use surveys such as the National Health and Nutrition Examination Survey, the National Institutes of Health All of Us and UK Biobank have markedly contributed to biomedical knowledge through survey-based capture of exposures and outcomes. As the field of precision medicine continues to expand, survey data augmented with electronic health record (EHR) and genetic data can also provide invaluable information on social and lifestyle determinants of health which influence the variability of an individual’s genes and risk for disease, treatment and prevention.2

The Department of Veterans Affairs (VA) has a long-established history of using data from the VA’s EHR system for research, but studies have often centred on a specific exposure, disease outcome or service era. Additionally, studies using survey data have often been limited in sample size or are not representative of the entire Veteran population. To expand the scope of research to improve Veteran health, the VA’s Office of Research and Development (ORD) launched the Million Veteran Program (MVP) in 2011 to create a VA-based infrastructure resource for genomic data collection among Veterans.3 As part of the programme’s efforts, surveys were designed to collect individual participant information to enhance the use of MVP genomic data for clinical research. Currently there is no source of large-scale, self-reported health and lifestyle data which exist within VA data sources such as the Corporate Data Warehouse (Health Data Repository), the National Patient Care Database, VA-Medicare merge, national Laboratory and Pharmacy extracts and the VA Vital Status File.

MVP methodology has been previously described.3 Briefly, enrollment of users of the Veterans Health Administration (VHA) began in 2011 with the goal of enrolling at least 1 million Veterans. The MVP Baseline Survey is included as part of initial mailed invitational materials; therefore participants may complete the MVP Baseline Survey prior to or following enrollment in MVP. Participation in MVP involves: (i) collection of self-reported data; (ii) provision of blood specimens for genetic research; (iii) access to health records on an ongoing basis; and (iv) agreement for additional research opportunities. Once a Veteran enrols in MVP, the MVP Lifestyle Survey is available for completion and is mailed typically within 2–4 weeks following enrollment. To date, participants have been primarily recruited through mailings and in-person enrollment at VA MVP facilities or events. In 2019, MVP launched MVP Online, an electronic portal whereby Veterans can enroll in MVP, complete surveys and schedule specimen collection activities.

Data collected

MVP survey development

Development of the MVP surveys involved extensive review of existing large-scale cohort data collection instruments, evaluation of available data within the VHA EHR and identification of key topics specific to Veteran health and wellbeing. The selected key health risk factors and measures are listed in Table 1. Pilot work was conducted in advance of MVP’s launch, to determine survey length tolerability, optimal method of administration (in-person or self-administration) and timing of completion (pre-/post-enrollment). Various survey versions were created and administered through the mail or in person. By using multiple data capture methods (self-administered vs in-person interview or a combination), the pilot work also helped determine the best method of data capture to maximize enrollment and minimize participant burden. Ultimately, the efficiency of the survey data was determined to be best collected through participant completion in their own time. This was especially important for questions related to family pedigree and health, to allow for consultation with family members and/or records as needed.

Table 1

Summary of the Million Veteran Program (MVP) Baseline and Lifestyle Survey questionnaire items and source

DomainItemNumber of questionsBaseline SurveyLifestyle SurveyReference source
A) SociodemographicsRace/thnicity2X2010 US Census37
Education1X2009 National Survey of Veterans38
Marital status1X2009 National Survey of Veterans38
Income1X2009 National Survey of Veterans38
Employment status/shift work2XBC Generations Project39
Principal occupation1XStandard Occupational Classification System40
B) Family demographics/pedigreeFamily pedigree history5XUK Biobank Touchscreen Questionnaire41
C) Military/combat historyMilitary service history7X2009 National Survey of Veterans38
Combat experience6XDeployment Risk and Resilience Inventory (Vogt et al., 2008)42
D) AdiposityBody weight4XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
Finbalt Health Monitor6
Cancer Prevention Study III44
E) Dietary habitsDiet and vitamin use12X80 Out Food Frequency Questionnaire (Willett, 1985)45
F) Smoking and tobacco useSmoking history1XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
7XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
G) Physical activityPhysical activity history3XFinbalt Health Monitor (Prättälä et al., 1999)6
Physician’s Health Study I Enrollment Questionnaire8,46
Exercise level1XModified Midlife in the United States Questionnaire (MIDUs)47
Walking pace1X2000 Nurses’ Health Study Questionnaire7
Flights of stairs climbed1X2000 Nurses’ Health Study Questionnaire7
Activities of daily living3X2009 National Survey of Veterans38
Use of electronic devices1XUK Biobank Touchscreen Questionnaire41
H) AlcoholAlcohol use3XAlcohol Use Disorders Identification Test (AUDIT-C)24
2XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
I) Sleep qualitySleep habits2XVitamins and Lifestyle Questionnaire (VITAL)4,48,49
J) Military/environmental exposuresEnvironmental exposures during military service4XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
K) PhenotypePhysical features (skin colour, hair color)1XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
Eye colour1XCancer Prevention Study III44
L) Subjective healthHealth status9XVeterans RAND 12 item Health Survey (VR-12; Hays, Sherbourne, Mazel, 199350; Kazis et al., 200451). The Veterans RAND 12 Item Health Survey (VR-12) was developed from the Veterans RAND 36 Item Health Survey (VR-36) which was developed from the MOS RAND SF-36 Version 1.0.50,51
M) Health historyMedical history (self and family)2XDeveloped for MVP
Non-prescription medication use1X2000 Nurses’ Health Study Questionnaire7
Oral health1X2009 National Survey of Veterans38
N) Reproductive healthSex-specific reproductive health11XUK Biobank Touchscreen Questionnaire41
Cancer Prevention Study III44
National Health and Nutrition Examination Reproductive Health Survey (2009)52
O) Mental and social healthDepression/anxiety1XPatient Health Questionnaire for Depression and Anxiety (PHQ-4)9
Cognitive functioning1XMedical Outcomes Survey—Mental Health10
Personality traits1XBig Five Personality Inventory53
Stress/PTSD1XPTSD Checklist Civilian Version (PCL-C)12
Traumatic brain injury2XBrief Traumatic Brain Injury Screen (BTBIS)15
Pain1X10-point pain scale54
Social support1XMedical Outcomes Survey—Social Support11
P) Health care usageHealth care use4XDeveloped for MVP
DomainItemNumber of questionsBaseline SurveyLifestyle SurveyReference source
A) SociodemographicsRace/thnicity2X2010 US Census37
Education1X2009 National Survey of Veterans38
Marital status1X2009 National Survey of Veterans38
Income1X2009 National Survey of Veterans38
Employment status/shift work2XBC Generations Project39
Principal occupation1XStandard Occupational Classification System40
B) Family demographics/pedigreeFamily pedigree history5XUK Biobank Touchscreen Questionnaire41
C) Military/combat historyMilitary service history7X2009 National Survey of Veterans38
Combat experience6XDeployment Risk and Resilience Inventory (Vogt et al., 2008)42
D) AdiposityBody weight4XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
Finbalt Health Monitor6
Cancer Prevention Study III44
E) Dietary habitsDiet and vitamin use12X80 Out Food Frequency Questionnaire (Willett, 1985)45
F) Smoking and tobacco useSmoking history1XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
7XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
G) Physical activityPhysical activity history3XFinbalt Health Monitor (Prättälä et al., 1999)6
Physician’s Health Study I Enrollment Questionnaire8,46
Exercise level1XModified Midlife in the United States Questionnaire (MIDUs)47
Walking pace1X2000 Nurses’ Health Study Questionnaire7
Flights of stairs climbed1X2000 Nurses’ Health Study Questionnaire7
Activities of daily living3X2009 National Survey of Veterans38
Use of electronic devices1XUK Biobank Touchscreen Questionnaire41
H) AlcoholAlcohol use3XAlcohol Use Disorders Identification Test (AUDIT-C)24
2XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
I) Sleep qualitySleep habits2XVitamins and Lifestyle Questionnaire (VITAL)4,48,49
J) Military/environmental exposuresEnvironmental exposures during military service4XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
K) PhenotypePhysical features (skin colour, hair color)1XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
Eye colour1XCancer Prevention Study III44
L) Subjective healthHealth status9XVeterans RAND 12 item Health Survey (VR-12; Hays, Sherbourne, Mazel, 199350; Kazis et al., 200451). The Veterans RAND 12 Item Health Survey (VR-12) was developed from the Veterans RAND 36 Item Health Survey (VR-36) which was developed from the MOS RAND SF-36 Version 1.0.50,51
M) Health historyMedical history (self and family)2XDeveloped for MVP
Non-prescription medication use1X2000 Nurses’ Health Study Questionnaire7
Oral health1X2009 National Survey of Veterans38
N) Reproductive healthSex-specific reproductive health11XUK Biobank Touchscreen Questionnaire41
Cancer Prevention Study III44
National Health and Nutrition Examination Reproductive Health Survey (2009)52
O) Mental and social healthDepression/anxiety1XPatient Health Questionnaire for Depression and Anxiety (PHQ-4)9
Cognitive functioning1XMedical Outcomes Survey—Mental Health10
Personality traits1XBig Five Personality Inventory53
Stress/PTSD1XPTSD Checklist Civilian Version (PCL-C)12
Traumatic brain injury2XBrief Traumatic Brain Injury Screen (BTBIS)15
Pain1X10-point pain scale54
Social support1XMedical Outcomes Survey—Social Support11
P) Health care usageHealth care use4XDeveloped for MVP

PTSD, posttraumatic stress disorder.

Table 1

Summary of the Million Veteran Program (MVP) Baseline and Lifestyle Survey questionnaire items and source

DomainItemNumber of questionsBaseline SurveyLifestyle SurveyReference source
A) SociodemographicsRace/thnicity2X2010 US Census37
Education1X2009 National Survey of Veterans38
Marital status1X2009 National Survey of Veterans38
Income1X2009 National Survey of Veterans38
Employment status/shift work2XBC Generations Project39
Principal occupation1XStandard Occupational Classification System40
B) Family demographics/pedigreeFamily pedigree history5XUK Biobank Touchscreen Questionnaire41
C) Military/combat historyMilitary service history7X2009 National Survey of Veterans38
Combat experience6XDeployment Risk and Resilience Inventory (Vogt et al., 2008)42
D) AdiposityBody weight4XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
Finbalt Health Monitor6
Cancer Prevention Study III44
E) Dietary habitsDiet and vitamin use12X80 Out Food Frequency Questionnaire (Willett, 1985)45
F) Smoking and tobacco useSmoking history1XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
7XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
G) Physical activityPhysical activity history3XFinbalt Health Monitor (Prättälä et al., 1999)6
Physician’s Health Study I Enrollment Questionnaire8,46
Exercise level1XModified Midlife in the United States Questionnaire (MIDUs)47
Walking pace1X2000 Nurses’ Health Study Questionnaire7
Flights of stairs climbed1X2000 Nurses’ Health Study Questionnaire7
Activities of daily living3X2009 National Survey of Veterans38
Use of electronic devices1XUK Biobank Touchscreen Questionnaire41
H) AlcoholAlcohol use3XAlcohol Use Disorders Identification Test (AUDIT-C)24
2XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
I) Sleep qualitySleep habits2XVitamins and Lifestyle Questionnaire (VITAL)4,48,49
J) Military/environmental exposuresEnvironmental exposures during military service4XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
K) PhenotypePhysical features (skin colour, hair color)1XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
Eye colour1XCancer Prevention Study III44
L) Subjective healthHealth status9XVeterans RAND 12 item Health Survey (VR-12; Hays, Sherbourne, Mazel, 199350; Kazis et al., 200451). The Veterans RAND 12 Item Health Survey (VR-12) was developed from the Veterans RAND 36 Item Health Survey (VR-36) which was developed from the MOS RAND SF-36 Version 1.0.50,51
M) Health historyMedical history (self and family)2XDeveloped for MVP
Non-prescription medication use1X2000 Nurses’ Health Study Questionnaire7
Oral health1X2009 National Survey of Veterans38
N) Reproductive healthSex-specific reproductive health11XUK Biobank Touchscreen Questionnaire41
Cancer Prevention Study III44
National Health and Nutrition Examination Reproductive Health Survey (2009)52
O) Mental and social healthDepression/anxiety1XPatient Health Questionnaire for Depression and Anxiety (PHQ-4)9
Cognitive functioning1XMedical Outcomes Survey—Mental Health10
Personality traits1XBig Five Personality Inventory53
Stress/PTSD1XPTSD Checklist Civilian Version (PCL-C)12
Traumatic brain injury2XBrief Traumatic Brain Injury Screen (BTBIS)15
Pain1X10-point pain scale54
Social support1XMedical Outcomes Survey—Social Support11
P) Health care usageHealth care use4XDeveloped for MVP
DomainItemNumber of questionsBaseline SurveyLifestyle SurveyReference source
A) SociodemographicsRace/thnicity2X2010 US Census37
Education1X2009 National Survey of Veterans38
Marital status1X2009 National Survey of Veterans38
Income1X2009 National Survey of Veterans38
Employment status/shift work2XBC Generations Project39
Principal occupation1XStandard Occupational Classification System40
B) Family demographics/pedigreeFamily pedigree history5XUK Biobank Touchscreen Questionnaire41
C) Military/combat historyMilitary service history7X2009 National Survey of Veterans38
Combat experience6XDeployment Risk and Resilience Inventory (Vogt et al., 2008)42
D) AdiposityBody weight4XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
Finbalt Health Monitor6
Cancer Prevention Study III44
E) Dietary habitsDiet and vitamin use12X80 Out Food Frequency Questionnaire (Willett, 1985)45
F) Smoking and tobacco useSmoking history1XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
7XUK Biobank Touchscreen Questionnaire41
Canadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
G) Physical activityPhysical activity history3XFinbalt Health Monitor (Prättälä et al., 1999)6
Physician’s Health Study I Enrollment Questionnaire8,46
Exercise level1XModified Midlife in the United States Questionnaire (MIDUs)47
Walking pace1X2000 Nurses’ Health Study Questionnaire7
Flights of stairs climbed1X2000 Nurses’ Health Study Questionnaire7
Activities of daily living3X2009 National Survey of Veterans38
Use of electronic devices1XUK Biobank Touchscreen Questionnaire41
H) AlcoholAlcohol use3XAlcohol Use Disorders Identification Test (AUDIT-C)24
2XCanadian Partnership for Tomorrow Atlantic PATH Main Questionnaire43
I) Sleep qualitySleep habits2XVitamins and Lifestyle Questionnaire (VITAL)4,48,49
J) Military/environmental exposuresEnvironmental exposures during military service4XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
K) PhenotypePhysical features (skin colour, hair color)1XStructured Neurotoxicant Assessment Checklist (SNAC)13,14
Eye colour1XCancer Prevention Study III44
L) Subjective healthHealth status9XVeterans RAND 12 item Health Survey (VR-12; Hays, Sherbourne, Mazel, 199350; Kazis et al., 200451). The Veterans RAND 12 Item Health Survey (VR-12) was developed from the Veterans RAND 36 Item Health Survey (VR-36) which was developed from the MOS RAND SF-36 Version 1.0.50,51
M) Health historyMedical history (self and family)2XDeveloped for MVP
Non-prescription medication use1X2000 Nurses’ Health Study Questionnaire7
Oral health1X2009 National Survey of Veterans38
N) Reproductive healthSex-specific reproductive health11XUK Biobank Touchscreen Questionnaire41
Cancer Prevention Study III44
National Health and Nutrition Examination Reproductive Health Survey (2009)52
O) Mental and social healthDepression/anxiety1XPatient Health Questionnaire for Depression and Anxiety (PHQ-4)9
Cognitive functioning1XMedical Outcomes Survey—Mental Health10
Personality traits1XBig Five Personality Inventory53
Stress/PTSD1XPTSD Checklist Civilian Version (PCL-C)12
Traumatic brain injury2XBrief Traumatic Brain Injury Screen (BTBIS)15
Pain1X10-point pain scale54
Social support1XMedical Outcomes Survey—Social Support11
P) Health care usageHealth care use4XDeveloped for MVP

PTSD, posttraumatic stress disorder.

Based on the pilot work, two surveys were developed as part of enrollment in MVP (Table 1). The MVP Baseline Survey focuses on participant demographics, medical history, family history, military experience and selected lifestyle factors. The MVP Lifestyle Survey focuses on daily/lifestyle habits (such as physical activity, smoking, diet), environmental exposures, gender-specific health and topics specific to Veteran health including combat experience, environmental exposures during military service and post-traumatic stress disorder. The final survey domains and sources are presented in Table 1. Completion time for the MVP Baseline Survey is approximately 15–20 min and 45 min for the MVP Lifestyle Survey.

Survey data quality and management

Completed MVP surveys are scanned and digitally archived. Responses to survey questions are processed through a third party vendor who captures and validates data electronically. Indeterminate and write-in values are flagged for later resolution. Given the large number of surveys, data review and cleaning by the vendor are limited to resolving invalid multiple responses by choosing the most conservative response and restricting free response values within a plausible range. Any changes to the original data are flagged to indicate that cleaning was completed on a variable. Ongoing cohort maintenance is managed routinely by the MVP Data Analytics Team who review electronic survey data from newly enrolled MVP participants and apply cleaning macros so that new data are consistently formatted and processed.

Survey data collected

As of 20 September 2021, 6 365 863 participants have been invited to participate in MVP and 850 736 participants have enrolled, with a response rate of 13.36%. Among enrollees, 593 141 (69.72%) enrolled by ‘walk-ins’ at a study site, 246 293 (28.95%) enrolled at a scheduled appointment and 11 302 (1.33%) enrolled online. Among the enrolled participants, 513 306 have completed the MVP Baseline Survey (91.54% male and 8.46% female). In total, 389 287 participants have completed the MVP Lifestyle Survey (91.92% male and 8.08% female), of whom 345 312 have also completed the MVP Baseline Survey (Figure 1).

Flow chart for participant enrollment and survey completion in the Million Veteran Program (MVP). Enrollment is still ongoing, with a target enrollment of 1 million participants. The numbers listed in the figure were updated as of 20 September 2021.VA, Veterans Affairs
Figure 1

Flow chart for participant enrollment and survey completion in the Million Veteran Program (MVP). Enrollment is still ongoing, with a target enrollment of 1 million participants. The numbers listed in the figure were updated as of 20 September 2021.VA, Veterans Affairs

Briefly, the MVP Baseline Survey includes eight sections with 54 items. As shown in Table 2, the majority of participants enrolled between 2012 and 2017. The enrollment rate decreased in 2020 and 2021 as a result of the COVID-19 pandemic; 79% of males were aged 50–80 and 91% of females were aged younger than 70 years. Black participants accounted for 12.48% of males and 21.08% of females; educational level of 63.01% females and 42.2% males were college or above. Table 2 also briefly presents the number of responders and average levels of physical features, uniformed services experience, activities, habits, health status, lifetime health conditions, health care usage and two samples family history (family histories of 19 diseases were included in the survey). Besides these items presented in Table 2, the Baseline Survey also collected detailed information on 75 health conditions including ‘the year of diagnosis’ and ‘whether taking medications’ for each condition.

Table 2

Distribution proportion of characteristicsa collected from the Million Veteran Program (MVP) Baseline Survey

Characteristics (N)bTotal (%) (513 306)Male (%) (469 487)Female (%) (43 362)
Year of enrollment (513306)
 20114.874.953.97
 201220.2520.4518.26
 201314.5414.5814.26
 201413.0513.0213.44
 201510.7310.7011.14
 20168.958.909.27
 201711.2711.2211.72
 20187.587.498.29
 20196.666.617.19
 20201.261.251.46
 20210.840.821.00
Section A: Demographic
Age category (513 215)
 <5011.359.2334.09
 50–5916.3814.8932.53
 60–6938.0139.3223.91
 70–7923.4424.996.70
 ≥8010.8211.572.78
Spanish, Hispanic or Latino (509 495)7.126.978.68
Race (511 560)
 White82.5083.3573.42
 Black13.2112.4821.08
 Other4.294.175.50
Education level (505 186)
 ≤High school or GEDc25.3926.918.81
 Some colleague30.6530.8928.18
 College or above43.9742.2063.01
Married (501 791)58.6360.7735.65
Annual family income (456 885)
 <30 00035.3935.5433.91
 30 000–59 00034.7534.8433.78
 ≥60 00029.8629.6232.31
Section B: Physical features
Left-handed (500 434)10.1410.229.24
Height (mean, cm, 507 680)166.81167.71157.10
Weight (mean, kg, 505 776)91.4792.5380.07
Skin colour (503 745)
 Very fair or fair63.6864.4155.93
 Light olive or dark olive20.4520.1923.26
 Brown or black15.8615.4020.81
Hair colour (505 614)
 Black20.8721.5113.91
 Dark brown34.5333.8342.13
 Light brown32.4132.8227.96
 Blonde9.359.1311.73
 Red2.842.714.28
Eye colour (506 669)
 Blue32.1732.9224.12
 Green6.866.649.18
 Hazel19.2019.2219.03
 Light brown11.6511.889.26
 Dark brown29.3228.5637.47
 Other0.800.790.95
Section C: Uniformed services experience
Period(s) of military service (513 306)
 Sept 2001 or later12.0310.1937.71
 August 1990–200118.4816.2342.93
 May 1975–July 199027.6825.8147.92
 August 1964–April 197552.7255.6820.85
 February 1955–July 196414.5015.493.78
 July 1950–January 19558.148.741.72
 Before July 19504.174.451.12
Branch of military service (513 306)
 Army49.3449.4748.03
 Navy22.3322.3522.08
 Air Force17.9617.4523.47
 Marine corps11.3311.826.09
 Multiple, or not reported9.008.909.94
Environmental exposures
 Agent Orange (507 886)21.2523.061.75
 Chemical or biological warfare (506 483)10.1110.397.13
 Anthrax vaccine (505 763)14.0712.9625.93
 Pyridostigmine bromide (404 541)5.235.215.42
Section D: Activities and habits
Current physical fitness status (508 180)
 Very good to fairly good36.9537.3033.14
 Satisfactory34.6134.5934.87
 Fairly poor to very poor28.4328.1231.99
Frequency of exercise vigorously (505 321)
 Never/rarely13.7313.9910.86
 1–4 times/month28.2328.2128.39
 2–4 times/week25.7825.5228.53
 ≥5 times/week32.2632.2832.22
Frequency of alcohol drinking (457 672)
 Never43.9643.8744.98
 <1 times/week27.0326.0937.04
 ≥1 times/week29.0130.0417.98
Smoking (500 671)
 Never29.3027.5747.88
 Everd52.2754.0533.14
 Current (daily or occasionally)18.4318.3818.98
Section E: Health status
Current health status (507 377)
 Good to excellent60.8660.4565.14
 Fair to poor39.1439.5534.86
Alwayse felt as below in past 4 weeks
 Felt calm and peaceful (509 134)62.6263.7550.33
 Have a lot of energy (509 238)43.6744.3835.87
 Felt downhearted and blue (508 553)17.9917.2825.72
Pain interfered with normal work (506 429)
 Not at all or a little bit49.1349.5244.69
 Moderate or more50.8750.4855.31
Pain intensity (0–10), past week (510 243)
 No pain (0)11.7311.939.59
 Mild pain (1–3)36.4136.9830.24
 Moderate pain (4–6)28.7228.5630.44
 Severe pain (7–10)23.1422.5329.74
Section F: Lifetime health conditions (N), mean
Total health conditions (0–75)f (513 306)7.427.476.94
 Circulatory conditions (0–10)1.731.791.05
 Skeletomuscular conditions (0–6)0.810.790.94
 Mental health conditions (0–10)0.830.781.35
 Hearing and vision conditions (0–6)1.051.090.56
 Infectious diseases (0–4)0.090.100.08
 Kidney conditions (0–3)0.070.080.04
 Gastrointestinal conditions (0–9)0.730.730.82
 Cancers (0–6)0.330.350.19
 Neurological conditions (0–12)0.600.570.86
 Other conditions (0–9)1.181.191.05
Section G: Health care use
VAg health care use, past year (503 901)
 None9.069.187.59
 Less than half of care26.1926.6521.20
 More than half of care24.0423.8526.20
 All care40.7140.3245.01
VA inpatient hospital stays, past year (440 333)
 None80.0979.7383.74
 1–316.2616.5213.70
 ≥43.653.752.56
Current prescription medications from VA (473 373)
 None15.5415.5715.06
 1–328.7528.5131.21
 4–626.9327.0525.78
 ≥728.7828.8827.96
Current prescription medications outside VA (234 991)
 None43.1141.7855.59
 1–333.3333.6630.20
 4–615.4916.139.49
 ≥78.078.434.71
Section H: family historyh
Family history of heart disease39.0038.4345.32
Family history of stroke25.0224.1434.65
Family history of lung cancer16.3916.0619.90
Family history of diabetes39.6538.3254.13
Family history of kidney disease8.337.9012.98
Characteristics (N)bTotal (%) (513 306)Male (%) (469 487)Female (%) (43 362)
Year of enrollment (513306)
 20114.874.953.97
 201220.2520.4518.26
 201314.5414.5814.26
 201413.0513.0213.44
 201510.7310.7011.14
 20168.958.909.27
 201711.2711.2211.72
 20187.587.498.29
 20196.666.617.19
 20201.261.251.46
 20210.840.821.00
Section A: Demographic
Age category (513 215)
 <5011.359.2334.09
 50–5916.3814.8932.53
 60–6938.0139.3223.91
 70–7923.4424.996.70
 ≥8010.8211.572.78
Spanish, Hispanic or Latino (509 495)7.126.978.68
Race (511 560)
 White82.5083.3573.42
 Black13.2112.4821.08
 Other4.294.175.50
Education level (505 186)
 ≤High school or GEDc25.3926.918.81
 Some colleague30.6530.8928.18
 College or above43.9742.2063.01
Married (501 791)58.6360.7735.65
Annual family income (456 885)
 <30 00035.3935.5433.91
 30 000–59 00034.7534.8433.78
 ≥60 00029.8629.6232.31
Section B: Physical features
Left-handed (500 434)10.1410.229.24
Height (mean, cm, 507 680)166.81167.71157.10
Weight (mean, kg, 505 776)91.4792.5380.07
Skin colour (503 745)
 Very fair or fair63.6864.4155.93
 Light olive or dark olive20.4520.1923.26
 Brown or black15.8615.4020.81
Hair colour (505 614)
 Black20.8721.5113.91
 Dark brown34.5333.8342.13
 Light brown32.4132.8227.96
 Blonde9.359.1311.73
 Red2.842.714.28
Eye colour (506 669)
 Blue32.1732.9224.12
 Green6.866.649.18
 Hazel19.2019.2219.03
 Light brown11.6511.889.26
 Dark brown29.3228.5637.47
 Other0.800.790.95
Section C: Uniformed services experience
Period(s) of military service (513 306)
 Sept 2001 or later12.0310.1937.71
 August 1990–200118.4816.2342.93
 May 1975–July 199027.6825.8147.92
 August 1964–April 197552.7255.6820.85
 February 1955–July 196414.5015.493.78
 July 1950–January 19558.148.741.72
 Before July 19504.174.451.12
Branch of military service (513 306)
 Army49.3449.4748.03
 Navy22.3322.3522.08
 Air Force17.9617.4523.47
 Marine corps11.3311.826.09
 Multiple, or not reported9.008.909.94
Environmental exposures
 Agent Orange (507 886)21.2523.061.75
 Chemical or biological warfare (506 483)10.1110.397.13
 Anthrax vaccine (505 763)14.0712.9625.93
 Pyridostigmine bromide (404 541)5.235.215.42
Section D: Activities and habits
Current physical fitness status (508 180)
 Very good to fairly good36.9537.3033.14
 Satisfactory34.6134.5934.87
 Fairly poor to very poor28.4328.1231.99
Frequency of exercise vigorously (505 321)
 Never/rarely13.7313.9910.86
 1–4 times/month28.2328.2128.39
 2–4 times/week25.7825.5228.53
 ≥5 times/week32.2632.2832.22
Frequency of alcohol drinking (457 672)
 Never43.9643.8744.98
 <1 times/week27.0326.0937.04
 ≥1 times/week29.0130.0417.98
Smoking (500 671)
 Never29.3027.5747.88
 Everd52.2754.0533.14
 Current (daily or occasionally)18.4318.3818.98
Section E: Health status
Current health status (507 377)
 Good to excellent60.8660.4565.14
 Fair to poor39.1439.5534.86
Alwayse felt as below in past 4 weeks
 Felt calm and peaceful (509 134)62.6263.7550.33
 Have a lot of energy (509 238)43.6744.3835.87
 Felt downhearted and blue (508 553)17.9917.2825.72
Pain interfered with normal work (506 429)
 Not at all or a little bit49.1349.5244.69
 Moderate or more50.8750.4855.31
Pain intensity (0–10), past week (510 243)
 No pain (0)11.7311.939.59
 Mild pain (1–3)36.4136.9830.24
 Moderate pain (4–6)28.7228.5630.44
 Severe pain (7–10)23.1422.5329.74
Section F: Lifetime health conditions (N), mean
Total health conditions (0–75)f (513 306)7.427.476.94
 Circulatory conditions (0–10)1.731.791.05
 Skeletomuscular conditions (0–6)0.810.790.94
 Mental health conditions (0–10)0.830.781.35
 Hearing and vision conditions (0–6)1.051.090.56
 Infectious diseases (0–4)0.090.100.08
 Kidney conditions (0–3)0.070.080.04
 Gastrointestinal conditions (0–9)0.730.730.82
 Cancers (0–6)0.330.350.19
 Neurological conditions (0–12)0.600.570.86
 Other conditions (0–9)1.181.191.05
Section G: Health care use
VAg health care use, past year (503 901)
 None9.069.187.59
 Less than half of care26.1926.6521.20
 More than half of care24.0423.8526.20
 All care40.7140.3245.01
VA inpatient hospital stays, past year (440 333)
 None80.0979.7383.74
 1–316.2616.5213.70
 ≥43.653.752.56
Current prescription medications from VA (473 373)
 None15.5415.5715.06
 1–328.7528.5131.21
 4–626.9327.0525.78
 ≥728.7828.8827.96
Current prescription medications outside VA (234 991)
 None43.1141.7855.59
 1–333.3333.6630.20
 4–615.4916.139.49
 ≥78.078.434.71
Section H: family historyh
Family history of heart disease39.0038.4345.32
Family history of stroke25.0224.1434.65
Family history of lung cancer16.3916.0619.90
Family history of diabetes39.6538.3254.13
Family history of kidney disease8.337.9012.98
a

Unless otherwise indicated, data are expressed as proportion. ‘Unknown or missing’ is not counted in the distribution proportion. Distribution proportion was calculated as column percentage except sex, the latter is the row percentage.

b

N: sample without missing for the individual characteristic.

c

GED: General Educational Development which is a high school equivalency.

d

Ever smoking: lifetime smoked a total of at least 100 cigarettes, cigars or pipes and/or ever smoked daily or almost every day for at least 1 year.

e

Always: included respondents of ‘all of the time’, ‘most of the time’ and ‘good bit of the time’.

f

In total, 75 health conditions were collected in Baseline Survey.

g

VA, Veterans Affairs.

h

In total, family histories of 19 diseases were collected in Baseline Survey; family history of a certain condition was defined as any biological family members (mother, father, siblings, maternal grandparents, paternal grandparents) who have been diagnosed with the condition.

Table 2

Distribution proportion of characteristicsa collected from the Million Veteran Program (MVP) Baseline Survey

Characteristics (N)bTotal (%) (513 306)Male (%) (469 487)Female (%) (43 362)
Year of enrollment (513306)
 20114.874.953.97
 201220.2520.4518.26
 201314.5414.5814.26
 201413.0513.0213.44
 201510.7310.7011.14
 20168.958.909.27
 201711.2711.2211.72
 20187.587.498.29
 20196.666.617.19
 20201.261.251.46
 20210.840.821.00
Section A: Demographic
Age category (513 215)
 <5011.359.2334.09
 50–5916.3814.8932.53
 60–6938.0139.3223.91
 70–7923.4424.996.70
 ≥8010.8211.572.78
Spanish, Hispanic or Latino (509 495)7.126.978.68
Race (511 560)
 White82.5083.3573.42
 Black13.2112.4821.08
 Other4.294.175.50
Education level (505 186)
 ≤High school or GEDc25.3926.918.81
 Some colleague30.6530.8928.18
 College or above43.9742.2063.01
Married (501 791)58.6360.7735.65
Annual family income (456 885)
 <30 00035.3935.5433.91
 30 000–59 00034.7534.8433.78
 ≥60 00029.8629.6232.31
Section B: Physical features
Left-handed (500 434)10.1410.229.24
Height (mean, cm, 507 680)166.81167.71157.10
Weight (mean, kg, 505 776)91.4792.5380.07
Skin colour (503 745)
 Very fair or fair63.6864.4155.93
 Light olive or dark olive20.4520.1923.26
 Brown or black15.8615.4020.81
Hair colour (505 614)
 Black20.8721.5113.91
 Dark brown34.5333.8342.13
 Light brown32.4132.8227.96
 Blonde9.359.1311.73
 Red2.842.714.28
Eye colour (506 669)
 Blue32.1732.9224.12
 Green6.866.649.18
 Hazel19.2019.2219.03
 Light brown11.6511.889.26
 Dark brown29.3228.5637.47
 Other0.800.790.95
Section C: Uniformed services experience
Period(s) of military service (513 306)
 Sept 2001 or later12.0310.1937.71
 August 1990–200118.4816.2342.93
 May 1975–July 199027.6825.8147.92
 August 1964–April 197552.7255.6820.85
 February 1955–July 196414.5015.493.78
 July 1950–January 19558.148.741.72
 Before July 19504.174.451.12
Branch of military service (513 306)
 Army49.3449.4748.03
 Navy22.3322.3522.08
 Air Force17.9617.4523.47
 Marine corps11.3311.826.09
 Multiple, or not reported9.008.909.94
Environmental exposures
 Agent Orange (507 886)21.2523.061.75
 Chemical or biological warfare (506 483)10.1110.397.13
 Anthrax vaccine (505 763)14.0712.9625.93
 Pyridostigmine bromide (404 541)5.235.215.42
Section D: Activities and habits
Current physical fitness status (508 180)
 Very good to fairly good36.9537.3033.14
 Satisfactory34.6134.5934.87
 Fairly poor to very poor28.4328.1231.99
Frequency of exercise vigorously (505 321)
 Never/rarely13.7313.9910.86
 1–4 times/month28.2328.2128.39
 2–4 times/week25.7825.5228.53
 ≥5 times/week32.2632.2832.22
Frequency of alcohol drinking (457 672)
 Never43.9643.8744.98
 <1 times/week27.0326.0937.04
 ≥1 times/week29.0130.0417.98
Smoking (500 671)
 Never29.3027.5747.88
 Everd52.2754.0533.14
 Current (daily or occasionally)18.4318.3818.98
Section E: Health status
Current health status (507 377)
 Good to excellent60.8660.4565.14
 Fair to poor39.1439.5534.86
Alwayse felt as below in past 4 weeks
 Felt calm and peaceful (509 134)62.6263.7550.33
 Have a lot of energy (509 238)43.6744.3835.87
 Felt downhearted and blue (508 553)17.9917.2825.72
Pain interfered with normal work (506 429)
 Not at all or a little bit49.1349.5244.69
 Moderate or more50.8750.4855.31
Pain intensity (0–10), past week (510 243)
 No pain (0)11.7311.939.59
 Mild pain (1–3)36.4136.9830.24
 Moderate pain (4–6)28.7228.5630.44
 Severe pain (7–10)23.1422.5329.74
Section F: Lifetime health conditions (N), mean
Total health conditions (0–75)f (513 306)7.427.476.94
 Circulatory conditions (0–10)1.731.791.05
 Skeletomuscular conditions (0–6)0.810.790.94
 Mental health conditions (0–10)0.830.781.35
 Hearing and vision conditions (0–6)1.051.090.56
 Infectious diseases (0–4)0.090.100.08
 Kidney conditions (0–3)0.070.080.04
 Gastrointestinal conditions (0–9)0.730.730.82
 Cancers (0–6)0.330.350.19
 Neurological conditions (0–12)0.600.570.86
 Other conditions (0–9)1.181.191.05
Section G: Health care use
VAg health care use, past year (503 901)
 None9.069.187.59
 Less than half of care26.1926.6521.20
 More than half of care24.0423.8526.20
 All care40.7140.3245.01
VA inpatient hospital stays, past year (440 333)
 None80.0979.7383.74
 1–316.2616.5213.70
 ≥43.653.752.56
Current prescription medications from VA (473 373)
 None15.5415.5715.06
 1–328.7528.5131.21
 4–626.9327.0525.78
 ≥728.7828.8827.96
Current prescription medications outside VA (234 991)
 None43.1141.7855.59
 1–333.3333.6630.20
 4–615.4916.139.49
 ≥78.078.434.71
Section H: family historyh
Family history of heart disease39.0038.4345.32
Family history of stroke25.0224.1434.65
Family history of lung cancer16.3916.0619.90
Family history of diabetes39.6538.3254.13
Family history of kidney disease8.337.9012.98
Characteristics (N)bTotal (%) (513 306)Male (%) (469 487)Female (%) (43 362)
Year of enrollment (513306)
 20114.874.953.97
 201220.2520.4518.26
 201314.5414.5814.26
 201413.0513.0213.44
 201510.7310.7011.14
 20168.958.909.27
 201711.2711.2211.72
 20187.587.498.29
 20196.666.617.19
 20201.261.251.46
 20210.840.821.00
Section A: Demographic
Age category (513 215)
 <5011.359.2334.09
 50–5916.3814.8932.53
 60–6938.0139.3223.91
 70–7923.4424.996.70
 ≥8010.8211.572.78
Spanish, Hispanic or Latino (509 495)7.126.978.68
Race (511 560)
 White82.5083.3573.42
 Black13.2112.4821.08
 Other4.294.175.50
Education level (505 186)
 ≤High school or GEDc25.3926.918.81
 Some colleague30.6530.8928.18
 College or above43.9742.2063.01
Married (501 791)58.6360.7735.65
Annual family income (456 885)
 <30 00035.3935.5433.91
 30 000–59 00034.7534.8433.78
 ≥60 00029.8629.6232.31
Section B: Physical features
Left-handed (500 434)10.1410.229.24
Height (mean, cm, 507 680)166.81167.71157.10
Weight (mean, kg, 505 776)91.4792.5380.07
Skin colour (503 745)
 Very fair or fair63.6864.4155.93
 Light olive or dark olive20.4520.1923.26
 Brown or black15.8615.4020.81
Hair colour (505 614)
 Black20.8721.5113.91
 Dark brown34.5333.8342.13
 Light brown32.4132.8227.96
 Blonde9.359.1311.73
 Red2.842.714.28
Eye colour (506 669)
 Blue32.1732.9224.12
 Green6.866.649.18
 Hazel19.2019.2219.03
 Light brown11.6511.889.26
 Dark brown29.3228.5637.47
 Other0.800.790.95
Section C: Uniformed services experience
Period(s) of military service (513 306)
 Sept 2001 or later12.0310.1937.71
 August 1990–200118.4816.2342.93
 May 1975–July 199027.6825.8147.92
 August 1964–April 197552.7255.6820.85
 February 1955–July 196414.5015.493.78
 July 1950–January 19558.148.741.72
 Before July 19504.174.451.12
Branch of military service (513 306)
 Army49.3449.4748.03
 Navy22.3322.3522.08
 Air Force17.9617.4523.47
 Marine corps11.3311.826.09
 Multiple, or not reported9.008.909.94
Environmental exposures
 Agent Orange (507 886)21.2523.061.75
 Chemical or biological warfare (506 483)10.1110.397.13
 Anthrax vaccine (505 763)14.0712.9625.93
 Pyridostigmine bromide (404 541)5.235.215.42
Section D: Activities and habits
Current physical fitness status (508 180)
 Very good to fairly good36.9537.3033.14
 Satisfactory34.6134.5934.87
 Fairly poor to very poor28.4328.1231.99
Frequency of exercise vigorously (505 321)
 Never/rarely13.7313.9910.86
 1–4 times/month28.2328.2128.39
 2–4 times/week25.7825.5228.53
 ≥5 times/week32.2632.2832.22
Frequency of alcohol drinking (457 672)
 Never43.9643.8744.98
 <1 times/week27.0326.0937.04
 ≥1 times/week29.0130.0417.98
Smoking (500 671)
 Never29.3027.5747.88
 Everd52.2754.0533.14
 Current (daily or occasionally)18.4318.3818.98
Section E: Health status
Current health status (507 377)
 Good to excellent60.8660.4565.14
 Fair to poor39.1439.5534.86
Alwayse felt as below in past 4 weeks
 Felt calm and peaceful (509 134)62.6263.7550.33
 Have a lot of energy (509 238)43.6744.3835.87
 Felt downhearted and blue (508 553)17.9917.2825.72
Pain interfered with normal work (506 429)
 Not at all or a little bit49.1349.5244.69
 Moderate or more50.8750.4855.31
Pain intensity (0–10), past week (510 243)
 No pain (0)11.7311.939.59
 Mild pain (1–3)36.4136.9830.24
 Moderate pain (4–6)28.7228.5630.44
 Severe pain (7–10)23.1422.5329.74
Section F: Lifetime health conditions (N), mean
Total health conditions (0–75)f (513 306)7.427.476.94
 Circulatory conditions (0–10)1.731.791.05
 Skeletomuscular conditions (0–6)0.810.790.94
 Mental health conditions (0–10)0.830.781.35
 Hearing and vision conditions (0–6)1.051.090.56
 Infectious diseases (0–4)0.090.100.08
 Kidney conditions (0–3)0.070.080.04
 Gastrointestinal conditions (0–9)0.730.730.82
 Cancers (0–6)0.330.350.19
 Neurological conditions (0–12)0.600.570.86
 Other conditions (0–9)1.181.191.05
Section G: Health care use
VAg health care use, past year (503 901)
 None9.069.187.59
 Less than half of care26.1926.6521.20
 More than half of care24.0423.8526.20
 All care40.7140.3245.01
VA inpatient hospital stays, past year (440 333)
 None80.0979.7383.74
 1–316.2616.5213.70
 ≥43.653.752.56
Current prescription medications from VA (473 373)
 None15.5415.5715.06
 1–328.7528.5131.21
 4–626.9327.0525.78
 ≥728.7828.8827.96
Current prescription medications outside VA (234 991)
 None43.1141.7855.59
 1–333.3333.6630.20
 4–615.4916.139.49
 ≥78.078.434.71
Section H: family historyh
Family history of heart disease39.0038.4345.32
Family history of stroke25.0224.1434.65
Family history of lung cancer16.3916.0619.90
Family history of diabetes39.6538.3254.13
Family history of kidney disease8.337.9012.98
a

Unless otherwise indicated, data are expressed as proportion. ‘Unknown or missing’ is not counted in the distribution proportion. Distribution proportion was calculated as column percentage except sex, the latter is the row percentage.

b

N: sample without missing for the individual characteristic.

c

GED: General Educational Development which is a high school equivalency.

d

Ever smoking: lifetime smoked a total of at least 100 cigarettes, cigars or pipes and/or ever smoked daily or almost every day for at least 1 year.

e

Always: included respondents of ‘all of the time’, ‘most of the time’ and ‘good bit of the time’.

f

In total, 75 health conditions were collected in Baseline Survey.

g

VA, Veterans Affairs.

h

In total, family histories of 19 diseases were collected in Baseline Survey; family history of a certain condition was defined as any biological family members (mother, father, siblings, maternal grandparents, paternal grandparents) who have been diagnosed with the condition.

The MVP Lifestyle Survey includes 10 sections consisting of 70 items. Several items present a series of questions that are based on standardized questionnaires (Table 3) including insomnia disorders,4,5 physical activity pattern,6,7 Mental Disorders Screening Scores of Generalized Anxiety Disorder 2-item (GAD-2) and the 2-item Patient Health Questionnaire (PHQ_2)8,–9 for anxiety and depression, Medical Outcomes Survey (MOS) for Cognitive Functioning,10 MOS Social Supports,11 posttraumatic stress disorder (PTSD) Checklist—Civilian Version,12 Combat Experiences Scale from the Deployment Risk and Resilience Inventory,13,14 and adapted Structured Neurotoxicant Assessment Checklist.15 Besides these primary results, the data collected by the Lifestyle Survey would be further developed and adapted to use in other ways. For example, the frequency of physical activities at different intensities could be converted into average metabolic equivalent for task (MET) values of the overall activity level16 and the frequency of food intakes could be converted to dietary energy and nutrient intakes in combination with the data of food composition table.

Table 3

Levels of major lifestyle factorsa collected from the Million Veteran Program (MVP) Lifestyle Survey

Characteristics (N)bTotal (%) (389 287)Male (%) (356 335)Female (%) (31 333)
Year of enrollment (513 306)
 20110.270.270.19
 20121.741.781.37
 201330.2130.5827.63
 201414.0314.0914.06
 201511.4711.4611.94
 201610.5610.5210.90
 20179.449.2810.59
 20188.738.609.41
 20193.583.513.91
 20209.469.439.33
 20210.520.480.67
Section A: Personal information
Current weight (mean, kg, 382 692)91.5192.4980.44
Weight at age 18 (mean, kg, 372 442)70.2271.3557.58
Weight change in past year (383 156)
 No, weight about the same49.3850.6135.75
 Yes, gained weight21.5620.3634.85
 Yes, lost weight29.0629.0329.40
Currently employed (389 287)25.0523.7039.85
Section B: Personal habits
Second-hand smoking at home (389 287)20.0619.9121.84
Second-hand smoking outside home (384 860)40.0940.0240.92
Age started smoking regularly (251 460)
 10–15 years26.5326.6924.22
 16–20 years60.6660.9756.00
 ≥20 years12.8112.3419.78
Number of years smoking regularly (255 124)
 ≤20 years42.8942.3650.67
 21–30 years19.2819.2619.71
 31–40 years17.1317.1516.95
 >40 years20.6921.2312.68
Cigarettes currently smoking (current smokers, 50 763)
 <626.6826.3130.14
 6–1530.3629.8834.97
 16–2535.2735.7630.66
 26–506.676.983.79
 More than 2 packs1.011.070.43
Cigarettes ever smoked (ever smokers, 223 307)
 <616.9116.2627.84
 6–1520.1519.7626.55
 16–2542.3542.8234.06
 26–5015.4615.858.96
 More than 2 packs5.145.302.59
Alcohol drinking (381 734)
 Yes, currently drink alcohol53.0552.8754.64
 No, but used to drink alcohol38.8939.3633.91
 No, never drink alcohol8.067.7711.45
Largest number of alcohol drinks in 1 day in a typical month (353 922)
 None6.115.878.97
 1 drink13.2812.6021.28
 2 drinks19.6019.2024.26
 3 drinks14.7114.6815.08
 4 drinks11.2211.329.93
 5–6 drinks14.2214.619.61
 7–9 drinks6.907.124.32
 10–14 drinks5.685.922.82
 15 or more drinks8.298.683.73
Self-rated health of teeth and gums (381 597)
 Excellent or very good34.3733.5643.25
 Good29.2629.3328.46
 Fair or poor36.3737.1128.29
Hours of sleep in a typical day (385 031)
 <7 h36.9736.2844.47
 7–9 h59.3360.0251.84
 >9 h3.703.703.69
Sleep disorders past year (389 287)
 Difficulty initiating sleep34.0332.4052.30
 Difficulty maintaining sleep44.4143.3556.40
 Early morning awakenings36.6236.1741.47
 Non-restorative sleep39.1337.6455.81
 Daytime sleepiness23.8622.6237.71
Section C: Activities
Engage in different activities ≥ once/week
 Vigorous activities at job (264 541)28.4529.1021.87
 Moderate activities at job (276 941)47.3247.9740.62
 Light activities at job (266 269)63.3862.2370.37
 Vigorous activities at home (310 606)29.8330.2525.52
 Moderate activities at home (330 220)42.0543.0231.67
 Light activities at home (333 737)72.3870.9286.82
 Vigorous leisure activities (308 226)20.7220.6820.66
 Moderate leisure activities (319 031)31.7431.4734.21
 Light leisure activities (343 905)53.6753.1059.46
Usual walking pace outdoors (383 880)
 Unable to walk5.045.153.93
 Easy, causal (<2 mph)34.2734.4233.01
 Normal, average (2–2.9 mph)43.5843.7941.23
 Brisk pace (3–3.9 mph)15.3914.9819.57
 Very brisk striding (≥4 mph)1.721.672.26
Flights of stairs climb daily (373 354)
 1 flight or less58.5558.3161.59
 212.3512.3112.79
 3–412.9312.9812.20
 5–99.669.827.85
 10–1427.034.393.67
 ≥15 flights2.182.191.90
Sedentary activities hours per week (mean)
Watching TV, video or DVD (381 882)23.5023.5523.06
Using computer (370 399)13.7913.1021.24
Playing video games (361 602)1.761.682.60
Talking on a cell phone (374 778)5.104.847.94
Section D: Well-being
Generalized Anxiety Disorder 2-item (GAD-2, range 0–6, 373 772)c,8
 GAD-2 score (mean)1.191.141.75
 GAD-2 ≥317.5316.6826.82
Patient Health Questionnaire-2 (PHQ-2, range 0–6, 374 600)c,9
 PHQ-2 score (mean)1.171.131.58
 PHQ-2 ≥ 317.2216.6023.96
Cognitive function (MOS-CF, mean)d,10
 Reasoning (range 0–6, 381 923)5.125.135.01
 Concentration and thinking (range 0–6, 349 171)5.075.094.84
 Confusion (range 0–6, 381 449)5.245.265.05
 Memory (range 0-6, 382 073)4.704.714.56
 Attention (range 0–6, 381 550)4.995.014.75
 Psychomotor (range 0–6, 381 678)5.075.075.0 .04
 MOS–CF36 (range 6–36, 381 007)30.2030.2829.25
 MOS-CF100 (range 0–100, 381 007)80.6580.9477.51
Problems of stressful life experiences (PCL-C, 347 278, mean)e,12
 PCL-C_Cluster B (range 5–25)8.788.709.65
 PCL-C_Cluster C (range 7–35)12.9712.8514.24
 PCL_C_Cluster D (range–5-25)10.039.9311.17
 PCL-C score (range 17–85)31.7831.4835.06
MOS Social supports (380 366, mean)f,11
 Emotional support (range 1-5)3.353.353.40
 Tangible support (range 1–5)3.673.703.37
 Affectionate support (range 1–5)3.803.823.62
 Positive social interaction (range 1–5)3.713.733.46
 MOS Social Support Index (range 1–5)3.553.563.43
 MOS Social Support Score (range 0–100)63.7864.0560.64
Personality: Big Five Inventory score (mean)
 Extraversion (range 2–10, 369 259)6.056.065.93
 Agreeableness (range 2–10, 370 464)7.407.417.34
 Conscientiousness (range 2–10, 368 072)8.058.058.10
 Neuroticism (range 2–10, 371 915)4.994.935.67
 Openness to experiences (range 2–10, 372 175)6.786.786.79
Section E: Military and environmental experiences
Deployed (366 456)65.8568.2239.57
Serve in a combat/war zone (277 274)66.1367.1748.69
Development Risk and Resilience Inventory24.9525.2019.94
 Score (DRRI, range 15–75, 180 032, mean)g,15
Military Exposures Combat26.1326.3720.95
Experiences Scale (mean, 153 756)h,13,14
Environmental exposures
 Solvents and fuels (371 046)62.8164.2845.83
 Petroleum combustion products (370 852)64.0765.5647.00
 Lead (368 744)52.4153.9235.18
 Other metals (364 978)14.8815.389.33
 Pesticides (369 178)39.4241.0421.35
 Open-air burn pits (368 744)38.7539.8126.56
Section F: Men’s health
Number of children fathered (mean, 343 699)2.19
Vasectomy (344 615)30.98
Prostate cancer blood test (338 260)71.35
Erectile dysfunction (342 171)62.49
Difficulty urinating (341 807)31.43
Awakening to urinate (343 307)74.62
Fertility problems (329 373)9.25
Sexual problems (337 682)9.42
Section G: Women’s health
First menstrual period age (mean, 30225)12.81
Menopause (27 146)67.07
Fertility problems (29 735)14.78
Sexual problems (29 722)28.34
Uterus removed (30 279)35.64
Both ovaries removed (29 904)21.13
Mammogram (30 477)88.71
Cervical smear test (PAP) (30 161)96.88
Ever pregnant (30 270)76.85
Ever stillbirth (23 424)5.25
Ever spontaneous miscarriage (23 540)35.33
Number of children given birth (23 132)1.94
Section H: Medications and vitamins
Average days per week regularly using medications in past 2 years (mean)
Acetaminophen (136 655)3.593.623.35
‘Baby’ or low dose aspirin (181 208)6.166.185.67
Aspirin (75 315)4.204.253.53
Ibuprofen (108 402)3.363.353.42
Celecoxib or valdecoxib (17 914)3.573.543.87
Other anti-inflammatory analgesics (76 686)3.903.893.97
Currently taking multi-vitamins56.4756.3757.82
Section I: Dietary habits
Average food intakes in past year (serving/day, mean, 375 890)
Grains1.231.251.07
Fruit1.281.261.44
Vegetables1.381.361.64
Nuts0.380.380.40
Butter0.400.400.39
Dairy1.621.621.61
Eggs0.460.460.40
Fish0.170.170.18
Chicken0.510.500.62
Red meat0.740.750.62
Processed meat0.450.460.31
Sugar (teaspoon/day, mean, 363 571)1.010.991.17
Ate fried foods at home ≥1/week (378 321)38.840.1523.73
Ate fried foods away home ≥1/week (380 532)35.2936.0127.09
Currently follow a physician-prescribed21.0021.3617.20
 special diet (381 787)
 Low calorie diet (389 287)5.715.715.86
 Low cholesterol diet (389 287)9.499.786.34
 Low sodium diet (389 287)8.768.996.23
 Diabetic diet (389 287)10.4710.826.67
 Low-fat diet (389 287)5.795.934.39
 Low triglyceride diet (389 287)2.712.801.68
 Ulcer diet (389 287)0.480.480.50
 High potassium diet (389 287)1.171.210.75
 Other (389 287)2.572.463.84
Section J: Additional questions
Access to internet (383 287)81.4680.5990.81
Willing to take surveys over internet (377 037)51.6650.4465.18
Characteristics (N)bTotal (%) (389 287)Male (%) (356 335)Female (%) (31 333)
Year of enrollment (513 306)
 20110.270.270.19
 20121.741.781.37
 201330.2130.5827.63
 201414.0314.0914.06
 201511.4711.4611.94
 201610.5610.5210.90
 20179.449.2810.59
 20188.738.609.41
 20193.583.513.91
 20209.469.439.33
 20210.520.480.67
Section A: Personal information
Current weight (mean, kg, 382 692)91.5192.4980.44
Weight at age 18 (mean, kg, 372 442)70.2271.3557.58
Weight change in past year (383 156)
 No, weight about the same49.3850.6135.75
 Yes, gained weight21.5620.3634.85
 Yes, lost weight29.0629.0329.40
Currently employed (389 287)25.0523.7039.85
Section B: Personal habits
Second-hand smoking at home (389 287)20.0619.9121.84
Second-hand smoking outside home (384 860)40.0940.0240.92
Age started smoking regularly (251 460)
 10–15 years26.5326.6924.22
 16–20 years60.6660.9756.00
 ≥20 years12.8112.3419.78
Number of years smoking regularly (255 124)
 ≤20 years42.8942.3650.67
 21–30 years19.2819.2619.71
 31–40 years17.1317.1516.95
 >40 years20.6921.2312.68
Cigarettes currently smoking (current smokers, 50 763)
 <626.6826.3130.14
 6–1530.3629.8834.97
 16–2535.2735.7630.66
 26–506.676.983.79
 More than 2 packs1.011.070.43
Cigarettes ever smoked (ever smokers, 223 307)
 <616.9116.2627.84
 6–1520.1519.7626.55
 16–2542.3542.8234.06
 26–5015.4615.858.96
 More than 2 packs5.145.302.59
Alcohol drinking (381 734)
 Yes, currently drink alcohol53.0552.8754.64
 No, but used to drink alcohol38.8939.3633.91
 No, never drink alcohol8.067.7711.45
Largest number of alcohol drinks in 1 day in a typical month (353 922)
 None6.115.878.97
 1 drink13.2812.6021.28
 2 drinks19.6019.2024.26
 3 drinks14.7114.6815.08
 4 drinks11.2211.329.93
 5–6 drinks14.2214.619.61
 7–9 drinks6.907.124.32
 10–14 drinks5.685.922.82
 15 or more drinks8.298.683.73
Self-rated health of teeth and gums (381 597)
 Excellent or very good34.3733.5643.25
 Good29.2629.3328.46
 Fair or poor36.3737.1128.29
Hours of sleep in a typical day (385 031)
 <7 h36.9736.2844.47
 7–9 h59.3360.0251.84
 >9 h3.703.703.69
Sleep disorders past year (389 287)
 Difficulty initiating sleep34.0332.4052.30
 Difficulty maintaining sleep44.4143.3556.40
 Early morning awakenings36.6236.1741.47
 Non-restorative sleep39.1337.6455.81
 Daytime sleepiness23.8622.6237.71
Section C: Activities
Engage in different activities ≥ once/week
 Vigorous activities at job (264 541)28.4529.1021.87
 Moderate activities at job (276 941)47.3247.9740.62
 Light activities at job (266 269)63.3862.2370.37
 Vigorous activities at home (310 606)29.8330.2525.52
 Moderate activities at home (330 220)42.0543.0231.67
 Light activities at home (333 737)72.3870.9286.82
 Vigorous leisure activities (308 226)20.7220.6820.66
 Moderate leisure activities (319 031)31.7431.4734.21
 Light leisure activities (343 905)53.6753.1059.46
Usual walking pace outdoors (383 880)
 Unable to walk5.045.153.93
 Easy, causal (<2 mph)34.2734.4233.01
 Normal, average (2–2.9 mph)43.5843.7941.23
 Brisk pace (3–3.9 mph)15.3914.9819.57
 Very brisk striding (≥4 mph)1.721.672.26
Flights of stairs climb daily (373 354)
 1 flight or less58.5558.3161.59
 212.3512.3112.79
 3–412.9312.9812.20
 5–99.669.827.85
 10–1427.034.393.67
 ≥15 flights2.182.191.90
Sedentary activities hours per week (mean)
Watching TV, video or DVD (381 882)23.5023.5523.06
Using computer (370 399)13.7913.1021.24
Playing video games (361 602)1.761.682.60
Talking on a cell phone (374 778)5.104.847.94
Section D: Well-being
Generalized Anxiety Disorder 2-item (GAD-2, range 0–6, 373 772)c,8
 GAD-2 score (mean)1.191.141.75
 GAD-2 ≥317.5316.6826.82
Patient Health Questionnaire-2 (PHQ-2, range 0–6, 374 600)c,9
 PHQ-2 score (mean)1.171.131.58
 PHQ-2 ≥ 317.2216.6023.96
Cognitive function (MOS-CF, mean)d,10
 Reasoning (range 0–6, 381 923)5.125.135.01
 Concentration and thinking (range 0–6, 349 171)5.075.094.84
 Confusion (range 0–6, 381 449)5.245.265.05
 Memory (range 0-6, 382 073)4.704.714.56
 Attention (range 0–6, 381 550)4.995.014.75
 Psychomotor (range 0–6, 381 678)5.075.075.0 .04
 MOS–CF36 (range 6–36, 381 007)30.2030.2829.25
 MOS-CF100 (range 0–100, 381 007)80.6580.9477.51
Problems of stressful life experiences (PCL-C, 347 278, mean)e,12
 PCL-C_Cluster B (range 5–25)8.788.709.65
 PCL-C_Cluster C (range 7–35)12.9712.8514.24
 PCL_C_Cluster D (range–5-25)10.039.9311.17
 PCL-C score (range 17–85)31.7831.4835.06
MOS Social supports (380 366, mean)f,11
 Emotional support (range 1-5)3.353.353.40
 Tangible support (range 1–5)3.673.703.37
 Affectionate support (range 1–5)3.803.823.62
 Positive social interaction (range 1–5)3.713.733.46
 MOS Social Support Index (range 1–5)3.553.563.43
 MOS Social Support Score (range 0–100)63.7864.0560.64
Personality: Big Five Inventory score (mean)
 Extraversion (range 2–10, 369 259)6.056.065.93
 Agreeableness (range 2–10, 370 464)7.407.417.34
 Conscientiousness (range 2–10, 368 072)8.058.058.10
 Neuroticism (range 2–10, 371 915)4.994.935.67
 Openness to experiences (range 2–10, 372 175)6.786.786.79
Section E: Military and environmental experiences
Deployed (366 456)65.8568.2239.57
Serve in a combat/war zone (277 274)66.1367.1748.69
Development Risk and Resilience Inventory24.9525.2019.94
 Score (DRRI, range 15–75, 180 032, mean)g,15
Military Exposures Combat26.1326.3720.95
Experiences Scale (mean, 153 756)h,13,14
Environmental exposures
 Solvents and fuels (371 046)62.8164.2845.83
 Petroleum combustion products (370 852)64.0765.5647.00
 Lead (368 744)52.4153.9235.18
 Other metals (364 978)14.8815.389.33
 Pesticides (369 178)39.4241.0421.35
 Open-air burn pits (368 744)38.7539.8126.56
Section F: Men’s health
Number of children fathered (mean, 343 699)2.19
Vasectomy (344 615)30.98
Prostate cancer blood test (338 260)71.35
Erectile dysfunction (342 171)62.49
Difficulty urinating (341 807)31.43
Awakening to urinate (343 307)74.62
Fertility problems (329 373)9.25
Sexual problems (337 682)9.42
Section G: Women’s health
First menstrual period age (mean, 30225)12.81
Menopause (27 146)67.07
Fertility problems (29 735)14.78
Sexual problems (29 722)28.34
Uterus removed (30 279)35.64
Both ovaries removed (29 904)21.13
Mammogram (30 477)88.71
Cervical smear test (PAP) (30 161)96.88
Ever pregnant (30 270)76.85
Ever stillbirth (23 424)5.25
Ever spontaneous miscarriage (23 540)35.33
Number of children given birth (23 132)1.94
Section H: Medications and vitamins
Average days per week regularly using medications in past 2 years (mean)
Acetaminophen (136 655)3.593.623.35
‘Baby’ or low dose aspirin (181 208)6.166.185.67
Aspirin (75 315)4.204.253.53
Ibuprofen (108 402)3.363.353.42
Celecoxib or valdecoxib (17 914)3.573.543.87
Other anti-inflammatory analgesics (76 686)3.903.893.97
Currently taking multi-vitamins56.4756.3757.82
Section I: Dietary habits
Average food intakes in past year (serving/day, mean, 375 890)
Grains1.231.251.07
Fruit1.281.261.44
Vegetables1.381.361.64
Nuts0.380.380.40
Butter0.400.400.39
Dairy1.621.621.61
Eggs0.460.460.40
Fish0.170.170.18
Chicken0.510.500.62
Red meat0.740.750.62
Processed meat0.450.460.31
Sugar (teaspoon/day, mean, 363 571)1.010.991.17
Ate fried foods at home ≥1/week (378 321)38.840.1523.73
Ate fried foods away home ≥1/week (380 532)35.2936.0127.09
Currently follow a physician-prescribed21.0021.3617.20
 special diet (381 787)
 Low calorie diet (389 287)5.715.715.86
 Low cholesterol diet (389 287)9.499.786.34
 Low sodium diet (389 287)8.768.996.23
 Diabetic diet (389 287)10.4710.826.67
 Low-fat diet (389 287)5.795.934.39
 Low triglyceride diet (389 287)2.712.801.68
 Ulcer diet (389 287)0.480.480.50
 High potassium diet (389 287)1.171.210.75
 Other (389 287)2.572.463.84
Section J: Additional questions
Access to internet (383 287)81.4680.5990.81
Willing to take surveys over internet (377 037)51.6650.4465.18

MOS, Medical Outcomes Survey; PTSD, Posttraumatic Stress Disorder.

a

Unless otherwise indicated, data are expressed as proportion. ‘Unknown or missing’ is not counted in the distribution proportion. Distribution proportion was calculated as column percentage except sex, the latter is the row percentage.

b

N: sample without missing for the individual characteristic.

c

Mental Disorders Screening using for GAD-2 and PHQ-2, with a score of 3 points as the preferred cut-off for identifying possible cases for generalized anxiety disorder (GAD-2 ≥3)8 and major depressive disorder (PHQ-2 ≥3).9

d

MOS-CF: MOS cognitive function score, with six items (each ranged 0–6) which assess the frequency during the previous month that one had experienced problems in six categories. MOS-CF36 (ranged 6–36) was calculated as sum of the six questions. Up to one item allowed to be missing. Missing value imputed with average of other responses. MOS-CF100 was on a 0–100 scale, calculated by 100 x (observed score-minimum possible score)/(maximum possible score-minimum possible score). Up to one item allowed to be missing. Missing value imputed with average of other responses. Response categories ‘a good bit of the time’, ‘most of the time’, and ‘all of the time’ were combined as ‘Yes’. MOS-CF scale score: raw scores were converted linearly to a 0 to 100 scale, and higher scores represented higher levels of neurocognitive functioning.

e

PCL-C: PTSD Checklist—Civilian Version. PCL-C (Civilian) is the PTSD checklist, a self-reported measure on current PTSD symptoms. Completed on the Lifestyle questionnaire. A higher score corresponds to more severe PTSD symptoms. The 17 questions were broken down to three clusters. Clusters include: B re-experiencing, questions 1–5; C avoidance/numbing, questions 6–12; D hyperarousal, questions 13–17. Up to one item per cluster allowed to be missing. If one item in a cluster was missing, the value was imputed with the average response of the other items in the cluster. If all 17 questions were answered after imputation by cluster, the sum of the 17 items was taken as the PCL-C score.

f

MOS social supports: MOS (Medical Outcomes Survey) Social Support survey including 18 items categorized into Social Support subscale (each ranged 0 to 5): Emotional/informational support (average response of items 1–8); Tangible support (average response of items 9–12); Affectionate support (average response of items 13–15); and Positive social interaction (average response of items 16–18). MOS Social Support Index was overall average of items. Up to three items allowed to be missing. If three or less missing, responses of missing questions were imputed with the average score of questions answered. MOS Social Support Score was MOS Social Support Index on a 0–100 scale, calculated by 100 x (observed score-minimum possible score)/(maximum possible score-minimum possible score).

g

Deployment Risk and Resilience Inventory (DRRI). Allowed up to three items missing. If three or less missing, response was imputed with the average score of questions answered. DRRI score is sum of the 15 items.

h

Using Combat Experiences Scale from the Deployment Risk and Resilience Inventory; among the responders who answered ‘Yes’ to both ‘deployed’ and ‘served in a combat/war zone’ and who answered all 15 items of the Combat Experiences Scale (score range: 15–75).

Table 3

Levels of major lifestyle factorsa collected from the Million Veteran Program (MVP) Lifestyle Survey

Characteristics (N)bTotal (%) (389 287)Male (%) (356 335)Female (%) (31 333)
Year of enrollment (513 306)
 20110.270.270.19
 20121.741.781.37
 201330.2130.5827.63
 201414.0314.0914.06
 201511.4711.4611.94
 201610.5610.5210.90
 20179.449.2810.59
 20188.738.609.41
 20193.583.513.91
 20209.469.439.33
 20210.520.480.67
Section A: Personal information
Current weight (mean, kg, 382 692)91.5192.4980.44
Weight at age 18 (mean, kg, 372 442)70.2271.3557.58
Weight change in past year (383 156)
 No, weight about the same49.3850.6135.75
 Yes, gained weight21.5620.3634.85
 Yes, lost weight29.0629.0329.40
Currently employed (389 287)25.0523.7039.85
Section B: Personal habits
Second-hand smoking at home (389 287)20.0619.9121.84
Second-hand smoking outside home (384 860)40.0940.0240.92
Age started smoking regularly (251 460)
 10–15 years26.5326.6924.22
 16–20 years60.6660.9756.00
 ≥20 years12.8112.3419.78
Number of years smoking regularly (255 124)
 ≤20 years42.8942.3650.67
 21–30 years19.2819.2619.71
 31–40 years17.1317.1516.95
 >40 years20.6921.2312.68
Cigarettes currently smoking (current smokers, 50 763)
 <626.6826.3130.14
 6–1530.3629.8834.97
 16–2535.2735.7630.66
 26–506.676.983.79
 More than 2 packs1.011.070.43
Cigarettes ever smoked (ever smokers, 223 307)
 <616.9116.2627.84
 6–1520.1519.7626.55
 16–2542.3542.8234.06
 26–5015.4615.858.96
 More than 2 packs5.145.302.59
Alcohol drinking (381 734)
 Yes, currently drink alcohol53.0552.8754.64
 No, but used to drink alcohol38.8939.3633.91
 No, never drink alcohol8.067.7711.45
Largest number of alcohol drinks in 1 day in a typical month (353 922)
 None6.115.878.97
 1 drink13.2812.6021.28
 2 drinks19.6019.2024.26
 3 drinks14.7114.6815.08
 4 drinks11.2211.329.93
 5–6 drinks14.2214.619.61
 7–9 drinks6.907.124.32
 10–14 drinks5.685.922.82
 15 or more drinks8.298.683.73
Self-rated health of teeth and gums (381 597)
 Excellent or very good34.3733.5643.25
 Good29.2629.3328.46
 Fair or poor36.3737.1128.29
Hours of sleep in a typical day (385 031)
 <7 h36.9736.2844.47
 7–9 h59.3360.0251.84
 >9 h3.703.703.69
Sleep disorders past year (389 287)
 Difficulty initiating sleep34.0332.4052.30
 Difficulty maintaining sleep44.4143.3556.40
 Early morning awakenings36.6236.1741.47
 Non-restorative sleep39.1337.6455.81
 Daytime sleepiness23.8622.6237.71
Section C: Activities
Engage in different activities ≥ once/week
 Vigorous activities at job (264 541)28.4529.1021.87
 Moderate activities at job (276 941)47.3247.9740.62
 Light activities at job (266 269)63.3862.2370.37
 Vigorous activities at home (310 606)29.8330.2525.52
 Moderate activities at home (330 220)42.0543.0231.67
 Light activities at home (333 737)72.3870.9286.82
 Vigorous leisure activities (308 226)20.7220.6820.66
 Moderate leisure activities (319 031)31.7431.4734.21
 Light leisure activities (343 905)53.6753.1059.46
Usual walking pace outdoors (383 880)
 Unable to walk5.045.153.93
 Easy, causal (<2 mph)34.2734.4233.01
 Normal, average (2–2.9 mph)43.5843.7941.23
 Brisk pace (3–3.9 mph)15.3914.9819.57
 Very brisk striding (≥4 mph)1.721.672.26
Flights of stairs climb daily (373 354)
 1 flight or less58.5558.3161.59
 212.3512.3112.79
 3–412.9312.9812.20
 5–99.669.827.85
 10–1427.034.393.67
 ≥15 flights2.182.191.90
Sedentary activities hours per week (mean)
Watching TV, video or DVD (381 882)23.5023.5523.06
Using computer (370 399)13.7913.1021.24
Playing video games (361 602)1.761.682.60
Talking on a cell phone (374 778)5.104.847.94
Section D: Well-being
Generalized Anxiety Disorder 2-item (GAD-2, range 0–6, 373 772)c,8
 GAD-2 score (mean)1.191.141.75
 GAD-2 ≥317.5316.6826.82
Patient Health Questionnaire-2 (PHQ-2, range 0–6, 374 600)c,9
 PHQ-2 score (mean)1.171.131.58
 PHQ-2 ≥ 317.2216.6023.96
Cognitive function (MOS-CF, mean)d,10
 Reasoning (range 0–6, 381 923)5.125.135.01
 Concentration and thinking (range 0–6, 349 171)5.075.094.84
 Confusion (range 0–6, 381 449)5.245.265.05
 Memory (range 0-6, 382 073)4.704.714.56
 Attention (range 0–6, 381 550)4.995.014.75
 Psychomotor (range 0–6, 381 678)5.075.075.0 .04
 MOS–CF36 (range 6–36, 381 007)30.2030.2829.25
 MOS-CF100 (range 0–100, 381 007)80.6580.9477.51
Problems of stressful life experiences (PCL-C, 347 278, mean)e,12
 PCL-C_Cluster B (range 5–25)8.788.709.65
 PCL-C_Cluster C (range 7–35)12.9712.8514.24
 PCL_C_Cluster D (range–5-25)10.039.9311.17
 PCL-C score (range 17–85)31.7831.4835.06
MOS Social supports (380 366, mean)f,11
 Emotional support (range 1-5)3.353.353.40
 Tangible support (range 1–5)3.673.703.37
 Affectionate support (range 1–5)3.803.823.62
 Positive social interaction (range 1–5)3.713.733.46
 MOS Social Support Index (range 1–5)3.553.563.43
 MOS Social Support Score (range 0–100)63.7864.0560.64
Personality: Big Five Inventory score (mean)
 Extraversion (range 2–10, 369 259)6.056.065.93
 Agreeableness (range 2–10, 370 464)7.407.417.34
 Conscientiousness (range 2–10, 368 072)8.058.058.10
 Neuroticism (range 2–10, 371 915)4.994.935.67
 Openness to experiences (range 2–10, 372 175)6.786.786.79
Section E: Military and environmental experiences
Deployed (366 456)65.8568.2239.57
Serve in a combat/war zone (277 274)66.1367.1748.69
Development Risk and Resilience Inventory24.9525.2019.94
 Score (DRRI, range 15–75, 180 032, mean)g,15
Military Exposures Combat26.1326.3720.95
Experiences Scale (mean, 153 756)h,13,14
Environmental exposures
 Solvents and fuels (371 046)62.8164.2845.83
 Petroleum combustion products (370 852)64.0765.5647.00
 Lead (368 744)52.4153.9235.18
 Other metals (364 978)14.8815.389.33
 Pesticides (369 178)39.4241.0421.35
 Open-air burn pits (368 744)38.7539.8126.56
Section F: Men’s health
Number of children fathered (mean, 343 699)2.19
Vasectomy (344 615)30.98
Prostate cancer blood test (338 260)71.35
Erectile dysfunction (342 171)62.49
Difficulty urinating (341 807)31.43
Awakening to urinate (343 307)74.62
Fertility problems (329 373)9.25
Sexual problems (337 682)9.42
Section G: Women’s health
First menstrual period age (mean, 30225)12.81
Menopause (27 146)67.07
Fertility problems (29 735)14.78
Sexual problems (29 722)28.34
Uterus removed (30 279)35.64
Both ovaries removed (29 904)21.13
Mammogram (30 477)88.71
Cervical smear test (PAP) (30 161)96.88
Ever pregnant (30 270)76.85
Ever stillbirth (23 424)5.25
Ever spontaneous miscarriage (23 540)35.33
Number of children given birth (23 132)1.94
Section H: Medications and vitamins
Average days per week regularly using medications in past 2 years (mean)
Acetaminophen (136 655)3.593.623.35
‘Baby’ or low dose aspirin (181 208)6.166.185.67
Aspirin (75 315)4.204.253.53
Ibuprofen (108 402)3.363.353.42
Celecoxib or valdecoxib (17 914)3.573.543.87
Other anti-inflammatory analgesics (76 686)3.903.893.97
Currently taking multi-vitamins56.4756.3757.82
Section I: Dietary habits
Average food intakes in past year (serving/day, mean, 375 890)
Grains1.231.251.07
Fruit1.281.261.44
Vegetables1.381.361.64
Nuts0.380.380.40
Butter0.400.400.39
Dairy1.621.621.61
Eggs0.460.460.40
Fish0.170.170.18
Chicken0.510.500.62
Red meat0.740.750.62
Processed meat0.450.460.31
Sugar (teaspoon/day, mean, 363 571)1.010.991.17
Ate fried foods at home ≥1/week (378 321)38.840.1523.73
Ate fried foods away home ≥1/week (380 532)35.2936.0127.09
Currently follow a physician-prescribed21.0021.3617.20
 special diet (381 787)
 Low calorie diet (389 287)5.715.715.86
 Low cholesterol diet (389 287)9.499.786.34
 Low sodium diet (389 287)8.768.996.23
 Diabetic diet (389 287)10.4710.826.67
 Low-fat diet (389 287)5.795.934.39
 Low triglyceride diet (389 287)2.712.801.68
 Ulcer diet (389 287)0.480.480.50
 High potassium diet (389 287)1.171.210.75
 Other (389 287)2.572.463.84
Section J: Additional questions
Access to internet (383 287)81.4680.5990.81
Willing to take surveys over internet (377 037)51.6650.4465.18
Characteristics (N)bTotal (%) (389 287)Male (%) (356 335)Female (%) (31 333)
Year of enrollment (513 306)
 20110.270.270.19
 20121.741.781.37
 201330.2130.5827.63
 201414.0314.0914.06
 201511.4711.4611.94
 201610.5610.5210.90
 20179.449.2810.59
 20188.738.609.41
 20193.583.513.91
 20209.469.439.33
 20210.520.480.67
Section A: Personal information
Current weight (mean, kg, 382 692)91.5192.4980.44
Weight at age 18 (mean, kg, 372 442)70.2271.3557.58
Weight change in past year (383 156)
 No, weight about the same49.3850.6135.75
 Yes, gained weight21.5620.3634.85
 Yes, lost weight29.0629.0329.40
Currently employed (389 287)25.0523.7039.85
Section B: Personal habits
Second-hand smoking at home (389 287)20.0619.9121.84
Second-hand smoking outside home (384 860)40.0940.0240.92
Age started smoking regularly (251 460)
 10–15 years26.5326.6924.22
 16–20 years60.6660.9756.00
 ≥20 years12.8112.3419.78
Number of years smoking regularly (255 124)
 ≤20 years42.8942.3650.67
 21–30 years19.2819.2619.71
 31–40 years17.1317.1516.95
 >40 years20.6921.2312.68
Cigarettes currently smoking (current smokers, 50 763)
 <626.6826.3130.14
 6–1530.3629.8834.97
 16–2535.2735.7630.66
 26–506.676.983.79
 More than 2 packs1.011.070.43
Cigarettes ever smoked (ever smokers, 223 307)
 <616.9116.2627.84
 6–1520.1519.7626.55
 16–2542.3542.8234.06
 26–5015.4615.858.96
 More than 2 packs5.145.302.59
Alcohol drinking (381 734)
 Yes, currently drink alcohol53.0552.8754.64
 No, but used to drink alcohol38.8939.3633.91
 No, never drink alcohol8.067.7711.45
Largest number of alcohol drinks in 1 day in a typical month (353 922)
 None6.115.878.97
 1 drink13.2812.6021.28
 2 drinks19.6019.2024.26
 3 drinks14.7114.6815.08
 4 drinks11.2211.329.93
 5–6 drinks14.2214.619.61
 7–9 drinks6.907.124.32
 10–14 drinks5.685.922.82
 15 or more drinks8.298.683.73
Self-rated health of teeth and gums (381 597)
 Excellent or very good34.3733.5643.25
 Good29.2629.3328.46
 Fair or poor36.3737.1128.29
Hours of sleep in a typical day (385 031)
 <7 h36.9736.2844.47
 7–9 h59.3360.0251.84
 >9 h3.703.703.69
Sleep disorders past year (389 287)
 Difficulty initiating sleep34.0332.4052.30
 Difficulty maintaining sleep44.4143.3556.40
 Early morning awakenings36.6236.1741.47
 Non-restorative sleep39.1337.6455.81
 Daytime sleepiness23.8622.6237.71
Section C: Activities
Engage in different activities ≥ once/week
 Vigorous activities at job (264 541)28.4529.1021.87
 Moderate activities at job (276 941)47.3247.9740.62
 Light activities at job (266 269)63.3862.2370.37
 Vigorous activities at home (310 606)29.8330.2525.52
 Moderate activities at home (330 220)42.0543.0231.67
 Light activities at home (333 737)72.3870.9286.82
 Vigorous leisure activities (308 226)20.7220.6820.66
 Moderate leisure activities (319 031)31.7431.4734.21
 Light leisure activities (343 905)53.6753.1059.46
Usual walking pace outdoors (383 880)
 Unable to walk5.045.153.93
 Easy, causal (<2 mph)34.2734.4233.01
 Normal, average (2–2.9 mph)43.5843.7941.23
 Brisk pace (3–3.9 mph)15.3914.9819.57
 Very brisk striding (≥4 mph)1.721.672.26
Flights of stairs climb daily (373 354)
 1 flight or less58.5558.3161.59
 212.3512.3112.79
 3–412.9312.9812.20
 5–99.669.827.85
 10–1427.034.393.67
 ≥15 flights2.182.191.90
Sedentary activities hours per week (mean)
Watching TV, video or DVD (381 882)23.5023.5523.06
Using computer (370 399)13.7913.1021.24
Playing video games (361 602)1.761.682.60
Talking on a cell phone (374 778)5.104.847.94
Section D: Well-being
Generalized Anxiety Disorder 2-item (GAD-2, range 0–6, 373 772)c,8
 GAD-2 score (mean)1.191.141.75
 GAD-2 ≥317.5316.6826.82
Patient Health Questionnaire-2 (PHQ-2, range 0–6, 374 600)c,9
 PHQ-2 score (mean)1.171.131.58
 PHQ-2 ≥ 317.2216.6023.96
Cognitive function (MOS-CF, mean)d,10
 Reasoning (range 0–6, 381 923)5.125.135.01
 Concentration and thinking (range 0–6, 349 171)5.075.094.84
 Confusion (range 0–6, 381 449)5.245.265.05
 Memory (range 0-6, 382 073)4.704.714.56
 Attention (range 0–6, 381 550)4.995.014.75
 Psychomotor (range 0–6, 381 678)5.075.075.0 .04
 MOS–CF36 (range 6–36, 381 007)30.2030.2829.25
 MOS-CF100 (range 0–100, 381 007)80.6580.9477.51
Problems of stressful life experiences (PCL-C, 347 278, mean)e,12
 PCL-C_Cluster B (range 5–25)8.788.709.65
 PCL-C_Cluster C (range 7–35)12.9712.8514.24
 PCL_C_Cluster D (range–5-25)10.039.9311.17
 PCL-C score (range 17–85)31.7831.4835.06
MOS Social supports (380 366, mean)f,11
 Emotional support (range 1-5)3.353.353.40
 Tangible support (range 1–5)3.673.703.37
 Affectionate support (range 1–5)3.803.823.62
 Positive social interaction (range 1–5)3.713.733.46
 MOS Social Support Index (range 1–5)3.553.563.43
 MOS Social Support Score (range 0–100)63.7864.0560.64
Personality: Big Five Inventory score (mean)
 Extraversion (range 2–10, 369 259)6.056.065.93
 Agreeableness (range 2–10, 370 464)7.407.417.34
 Conscientiousness (range 2–10, 368 072)8.058.058.10
 Neuroticism (range 2–10, 371 915)4.994.935.67
 Openness to experiences (range 2–10, 372 175)6.786.786.79
Section E: Military and environmental experiences
Deployed (366 456)65.8568.2239.57
Serve in a combat/war zone (277 274)66.1367.1748.69
Development Risk and Resilience Inventory24.9525.2019.94
 Score (DRRI, range 15–75, 180 032, mean)g,15
Military Exposures Combat26.1326.3720.95
Experiences Scale (mean, 153 756)h,13,14
Environmental exposures
 Solvents and fuels (371 046)62.8164.2845.83
 Petroleum combustion products (370 852)64.0765.5647.00
 Lead (368 744)52.4153.9235.18
 Other metals (364 978)14.8815.389.33
 Pesticides (369 178)39.4241.0421.35
 Open-air burn pits (368 744)38.7539.8126.56
Section F: Men’s health
Number of children fathered (mean, 343 699)2.19
Vasectomy (344 615)30.98
Prostate cancer blood test (338 260)71.35
Erectile dysfunction (342 171)62.49
Difficulty urinating (341 807)31.43
Awakening to urinate (343 307)74.62
Fertility problems (329 373)9.25
Sexual problems (337 682)9.42
Section G: Women’s health
First menstrual period age (mean, 30225)12.81
Menopause (27 146)67.07
Fertility problems (29 735)14.78
Sexual problems (29 722)28.34
Uterus removed (30 279)35.64
Both ovaries removed (29 904)21.13
Mammogram (30 477)88.71
Cervical smear test (PAP) (30 161)96.88
Ever pregnant (30 270)76.85
Ever stillbirth (23 424)5.25
Ever spontaneous miscarriage (23 540)35.33
Number of children given birth (23 132)1.94
Section H: Medications and vitamins
Average days per week regularly using medications in past 2 years (mean)
Acetaminophen (136 655)3.593.623.35
‘Baby’ or low dose aspirin (181 208)6.166.185.67
Aspirin (75 315)4.204.253.53
Ibuprofen (108 402)3.363.353.42
Celecoxib or valdecoxib (17 914)3.573.543.87
Other anti-inflammatory analgesics (76 686)3.903.893.97
Currently taking multi-vitamins56.4756.3757.82
Section I: Dietary habits
Average food intakes in past year (serving/day, mean, 375 890)
Grains1.231.251.07
Fruit1.281.261.44
Vegetables1.381.361.64
Nuts0.380.380.40
Butter0.400.400.39
Dairy1.621.621.61
Eggs0.460.460.40
Fish0.170.170.18
Chicken0.510.500.62
Red meat0.740.750.62
Processed meat0.450.460.31
Sugar (teaspoon/day, mean, 363 571)1.010.991.17
Ate fried foods at home ≥1/week (378 321)38.840.1523.73
Ate fried foods away home ≥1/week (380 532)35.2936.0127.09
Currently follow a physician-prescribed21.0021.3617.20
 special diet (381 787)
 Low calorie diet (389 287)5.715.715.86
 Low cholesterol diet (389 287)9.499.786.34
 Low sodium diet (389 287)8.768.996.23
 Diabetic diet (389 287)10.4710.826.67
 Low-fat diet (389 287)5.795.934.39
 Low triglyceride diet (389 287)2.712.801.68
 Ulcer diet (389 287)0.480.480.50
 High potassium diet (389 287)1.171.210.75
 Other (389 287)2.572.463.84
Section J: Additional questions
Access to internet (383 287)81.4680.5990.81
Willing to take surveys over internet (377 037)51.6650.4465.18

MOS, Medical Outcomes Survey; PTSD, Posttraumatic Stress Disorder.

a

Unless otherwise indicated, data are expressed as proportion. ‘Unknown or missing’ is not counted in the distribution proportion. Distribution proportion was calculated as column percentage except sex, the latter is the row percentage.

b

N: sample without missing for the individual characteristic.

c

Mental Disorders Screening using for GAD-2 and PHQ-2, with a score of 3 points as the preferred cut-off for identifying possible cases for generalized anxiety disorder (GAD-2 ≥3)8 and major depressive disorder (PHQ-2 ≥3).9

d

MOS-CF: MOS cognitive function score, with six items (each ranged 0–6) which assess the frequency during the previous month that one had experienced problems in six categories. MOS-CF36 (ranged 6–36) was calculated as sum of the six questions. Up to one item allowed to be missing. Missing value imputed with average of other responses. MOS-CF100 was on a 0–100 scale, calculated by 100 x (observed score-minimum possible score)/(maximum possible score-minimum possible score). Up to one item allowed to be missing. Missing value imputed with average of other responses. Response categories ‘a good bit of the time’, ‘most of the time’, and ‘all of the time’ were combined as ‘Yes’. MOS-CF scale score: raw scores were converted linearly to a 0 to 100 scale, and higher scores represented higher levels of neurocognitive functioning.

e

PCL-C: PTSD Checklist—Civilian Version. PCL-C (Civilian) is the PTSD checklist, a self-reported measure on current PTSD symptoms. Completed on the Lifestyle questionnaire. A higher score corresponds to more severe PTSD symptoms. The 17 questions were broken down to three clusters. Clusters include: B re-experiencing, questions 1–5; C avoidance/numbing, questions 6–12; D hyperarousal, questions 13–17. Up to one item per cluster allowed to be missing. If one item in a cluster was missing, the value was imputed with the average response of the other items in the cluster. If all 17 questions were answered after imputation by cluster, the sum of the 17 items was taken as the PCL-C score.

f

MOS social supports: MOS (Medical Outcomes Survey) Social Support survey including 18 items categorized into Social Support subscale (each ranged 0 to 5): Emotional/informational support (average response of items 1–8); Tangible support (average response of items 9–12); Affectionate support (average response of items 13–15); and Positive social interaction (average response of items 16–18). MOS Social Support Index was overall average of items. Up to three items allowed to be missing. If three or less missing, responses of missing questions were imputed with the average score of questions answered. MOS Social Support Score was MOS Social Support Index on a 0–100 scale, calculated by 100 x (observed score-minimum possible score)/(maximum possible score-minimum possible score).

g

Deployment Risk and Resilience Inventory (DRRI). Allowed up to three items missing. If three or less missing, response was imputed with the average score of questions answered. DRRI score is sum of the 15 items.

h

Using Combat Experiences Scale from the Deployment Risk and Resilience Inventory; among the responders who answered ‘Yes’ to both ‘deployed’ and ‘served in a combat/war zone’ and who answered all 15 items of the Combat Experiences Scale (score range: 15–75).

Extended data capture

A hallmark feature of MVP involves the ability for ongoing data capture from enrollees. As MVP continues to evolve, re-contact of enrollees is anticipated to expand to multiple modalities, such as wearables and Integrated Voice Recognition (IVR). Additionally, with the launch of MVP Online, to date over 20 000 Baseline and Lifestyle Surveys have been completed electronically. Online survey completion allows for cleaner data collection (as a result of built-in validation checks and single option choices for appropriate questions) and also tailored survey workflows so that participants are presented with only the applicable items.

Data resource use

The self-reported data collected from MVP surveys are an invaluable resource for Veteran research. MVP Baseline and Lifestyle Surveys were designed to capture participant self-reported information on demographics, family history of disease, health status, nutrition and lifestyle factors that can influence or be influenced by genetic predisposition, which is critical for understanding gene-environment interactions, nutrigenomic associations and the impact of personal factors on genome-disease associations. Given the large sample size, MVP Baseline and Lifestyle Survey data can be used independently to examine Veteran health and behavioural outcomes or in conjunction with electronic health records (EHR) and genomic data to improve our understanding of Veteran health. EHR provide valuable longitudinal data for researchers and health care providers to track the disease progression of a patient over time, but EHR alone do not provide sufficient information for investigating how health is affected by behaviour and environmental factors. Data from the MVP Baseline and Lifestyle Surveys bridges this gap by providing detailed behaviour and environmental information that is consistently captured across a large sample of Veterans. For greater applicability, it is envisioned that the MVP Baseline and MVP Lifestyle Surveys will be validated in future MVP scientific projects to enhance the understanding of Veteran health and wellbeing. MVP participants represent a wide range of ancestry and ethnic backgrounds, including Hispanic, European/European American, African American/Afro-Caribbean, East Asian and others.17

Preliminary results and key findings

MVP data have been used to learn about a range of health conditions affecting Veterans.18 Research topics include cancer, mental health, osteoarthritis, cardiovascular diseases, COVID-19, Parkinson’s disease, diabetes, PTSD, gene variation, substance use disorder, Gulf War illness, suicide prevention, informatics, traumatic brain injury (TBI), kidney disease, tinnitus and macular degeneration etc.18 Research demonstrates that the demographic representation of MVP is similar to the VHA population but it contrasted with the overall National Health and Nutrition Examination Survey US population.18 In particular, the prevalence of overweight and obese individuals is higher among US Veterans, particularly in MVP.18 MVP research has also revealed gender differences in programme participation rates, demographic profile, health characteristics and prevalence of health conditions for Veterans in the MVP cohort,19 highlighting the need for tailoring recruitment efforts to ensure representation of the increasing female Veteran population receiving care through the VHA.

Lifestyle factors play an important role in development and prevention of cardiovascular disease (CVD); a broad range of CVD-related lifestyle factors were replicated in Veterans using MVP data, such as fried food,20 eggs,21 alcohol,22–24 fish,25 nuts,26 chocolate,27 potato,28 yogurt,29 overall dietary score of Dietary Approach to Stop Hypertension30 and physical activities.31

Data collected from MVP Baseline and Lifestyle Surveys also provide important information to support MVP genetic research studies17,23,32–35 including the genetic study of PTSD, alcohol use behaviours, schizophrenia and bipolar disorder, potential causal effect of PTSD on alcohol use disorder and alcohol consumption; and genetic liability to smoking was a strong risk factor for coronary artery disease, peripheral arterial disease and stroke. Data collected from MVP Baseline and Lifestyle Surveys were also used in the recent study of COVID-19,36 which indicated that greater COVID-19 severity was associated with an older age, higher body mass index and history of respiratory, kidney, bacterial or metabolic comorbidities.

Strengths and weaknesses

Overlapping data from the surveys and information found in the VA EHR provide a unique opportunity to validate, supplement and augment a participant’s medical profile using self-reported information. For example, not all MVP enrollees receive 100% of their care from the VHA, so self-report data can provide valuable information to create a more comprehensive enrollee profile. Additionally, as MVP expands eligibility to Veterans who may not use the VA for health care services, the importance of self-report data becomes imperative as MVP builds the infrastructure to access external health records. A key limitation is that not all MVP participants complete the MVP Baseline and/or MVP Lifestyle Surveys, despite repeated efforts to obtain the self-report data. If available, data from EHR are used to supplement aspects of missing self-report data but do not provide the comprehensive profile obtained from the surveys. Whereas currently collection of the MVP surveys is cross-sectional, efforts are under way to design a repeated assessment approach for longitudinal data capture.

Data resource access

As described in detail in Gaziano’s MVP introduction paper3 and MVP website [https://www.research.va.gov/mvp/], access to MVP data and/or samples is governed by the scope of MVP informed consent and VA policies and requires scientific review by appropriate VA review committees. Data are currently available to VA investigators and other approved partners with plans for expanding to non-VA investigators in the future. Enquiries can be directed to Kelly Cho, PhD, at [[email protected]]. For accessing the resource, a consortium approach is strongly encouraged; collaborators from university affiliates and other organizations working with VA investigators are encouraged [https://www.research.va.gov/MVP/research.cfm].

Ethics approval

This research was conducted according to the guidelines of the Declaration of Helsinki and approved by the Department of Veteran Affairs Central IRB (protocol code MVP001, approved in 2010). Written informed consent has been obtained from the participants in accordance with all VA policies and under the authority of the VA Central IRB.

Data availability

See Data Resource Access, above.

Supplementary data

Supplementary data are available at IJE online.

Author contributions

Manuscript writing: X-M.T.N., S.B.W., Y.L., H-N.A.N., K.H. Analytics and data summary: X-M.T.N., Y.L., R.M.Q., R.J.S., K.C. MVP recruitment and enrollment: S.B.W., H-N.A.N., J.V.V.B., J.D., S.M., R.B.R. Oversight and critical review of manuscript for content and clarity: L.D., J.P.C., P.S.T., J.M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research is based on data from the VA Million Veteran Program supported by award MVP#000 from the Department of Veterans Affairs. This publication does not represent the views of the Department of Veterans Affairs or the US government. The authors have no financial disclosures.

Acknowledgements

The authors thank the members of the Million Veteran Program Core (individuals are named in the Supplementary file, available as Supplementary data at IJE online), those who have contributed to the Million Veteran Program, and specially the Veteran participants for their generous contributions.

Conflict of interest

None declared.

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Author notes

Both Xuan-Mai T Nguyen and Stacey B Whitbourne contributed equally to this work.

Membership of the VA Million Veteran Program is provided in the Supplementary file, available as Supplementary data at IJE online.

This work is written by (a) US Government employee(s) and is in the public domain in the US.

Supplementary data