Protocol - Current Age

Description

The interviewer asks the respondent for his or her date of birth in MM/DD/YYYY format. If the respondent does not know his or her date of birth, the interviewer asks an alternative question to determine his or her age. NOTE: The current age of the respondent can be calculated, given the date of the interview.

Specific Instructions

The question may be asked of a proxy. Proxies are others in the household who can answer on behalf of the index person (e.g., parent, spouse) if the index person is too young, incapacitated, deceased, or cannot be located.

Availability

Available

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Protocol

What is your birthdate? MM/DD/YYYY;

9[ ]Don’t Know [ask follow-up question];

7[ ]Refused

[Follow-up question if "don’t know":] About how old are you? AGE _______;

999[ ]Don’t Know

7[ ]Refused

Personnel and Training Required

The interviewer must be trained to conduct personal interviews with individuals from the general population. The interviewer must be trained and found to be competent (i.e., tested by an expert) at the completion of personal interviews.* The interviewer should be trained to prompt respondents further if a "don’t know" response is provided.

* There are multiple modes to administer this question (e.g., paper-and-pencil and computer-assisted interviews).

Equipment Needs

While the source instrument was developed to be administered by computer, the PhenX Working Group acknowledges these questions can be administered in a noncomputerized format (i.e., paper-and-pencil instrument). Computer software is necessary to develop computer-assisted instruments. The interviewer will require a laptop computer or handheld computer to administer a computer-assisted questionnaire.

Requirements

Requirement Category	Required
Major equipment	No
Specialized training	No
Specialized requirements for biospecimen collection	No
Average time of greater than 15 minutes in an unaffected individual	No

Mode of Administration

Interviewer-administered questionnaire

Lifestage

Infant, Toddler, Child, Adolescent, Adult, Senior, Pregnancy

Participants

Any age.

Selection Rationale

Age is a primary predictor of disease and the most important potential confounder in epidemiologic studies.

Age at date of interview or exam can be compared to age in future follow-up interviews or exams for longitudinal research purposes.

Vetted against several other current age questions, the National Health and Nutrition Examination Survey (NHANES) question was selected because it included the date of birth (DOB) and a follow-up question to collect current age if the respondent did not know his or her DOB.

Language

Chinese, English, Spanish

Standards

Standard	Name	ID	Source
Logical Observation Identifiers Names and Codes (LOINC)	Current age proto	62293-6	LOINC
caDSR Form	PhenX PX010101 - Current Age	5791032	caDSR Form

Derived Variables

Age at onset, present age

Process and Review

The Expert Review Panel #2 (ERP 2) reviewed the measures in the Demographics, Environmental Exposures, and Social Environments domains.

Guidance from ERP 2 includes:

• No significant changes to measure

Back-compatible: no changes to Data Dictionary

Previous version in Toolkit archive (link)

Protocol Name from Source

National Health and Nutrition Examination Survey (NHANES), 2005-2006

Source

National Center for Health Statistics. National Health and Nutrition Examination Survey (NHANES), Screener Module 1, 2005–2006. Question numbers: SCQ.290 and SCQ.292.

General References

Public Population Project in Genomics (P3G) Data Shaper.

Protocol ID

10101

Variables

Export Variables

Variable Name	Variable ID	Variable Description	dbGaP Mapping
PX010101_Age
	PX010101020000	About how old are you?	Variable Mapping
PX010101_Age_Coded
	PX010101020100	About how old are you?	N/A
PX010101_Birthdate_Coded
	PX010101010400	What is your birthdate?	N/A
PX010101_Birthdate_Day
	PX010101010200	What is your birthdate? Day	Variable Mapping
PX010101_Birthdate_Month
	PX010101010100	What is your birthdate? Month	Variable Mapping
PX010101_Birthdate_Year
	PX010101010300	What is your birthdate? Year	Variable Mapping

Demographics

Measure Name

Current Age

Release Date

February 6, 2009

Definition

Question to determine the respondent’s current age using his or her date of birth.

Purpose

Current age is a critical component of a respondent’s demographic background. Date of birth (DOB)/current age is essential to medical research because it captures the age at the time of the clinical visit or diagnosis. Age is related to nearly all diseases and conditions and is the strongest potential confounder of other effects on these processes. Current age is often used to stratify respondents for more valid comparison (e.g., obesity of males aged 40-45 in Mississippi).

Keywords

Demographics, National Center for Health Statistics, NCHS, Centers for Disease Control and Prevention, CDC, age, date of birth, DOB, National Health and Nutrition Examination Survey, NHANES, Demographics-Populations with HD

Measure Protocols

Protocol ID	Protocol Name
10101	Current Age

Publications

Sharma, P., et al. (2023) A Christian Faith-Based Facebook Intervention for Smoking Cessation in Rural Communities (FAITH-CORE): Protocol for a Community Participatory Development Study JMIR Research Protocols. 2023 December; 12: e52398. doi: 10.2196/52398

Lapidos, A., et al. (2023) Oral Health Recovery: A Peer Support Specialist-Led Health Education Program for People With Serious Mental Illness Psychiatric Services. 2023 November; 74(11): 1196-1199. doi: 10.1176/appi.ps.20220465

Markland, A. D., et al. (2023) Optimizing remote access to urinary incontinence treatments for women veterans (PRACTICAL): Study protocol for a pragmatic clinical trial comparing two virtual care options Contemporary Clinical Trials. 2023 October; 133: 107328. doi: 10.1016/j.cct.2023.107328

Crusan, A., et al. (2023) Using Community-Based Participatory Research Methods to Inform the Development of Medically Tailored Food Kits for Hispanic/Latine Adults with Hypertension: A Qualitative Study. Nutrients. 2023 August; 15(16): 3600. doi: https://doi.org/10.3390/nu15163600

Olfson, M., et al. (2023) Prevalence and Correlates of Mental Disorders in Children Aged 9 and 10 Years: Results From the ABCD Study. Journal of the American Academy of Child & Adolescent Psychiatry. 2023 August; 62(8): 908-919. doi: 10.1016/j.jaac.2023.04.005

Lee, R. E., et al. (2023) Acceptability and Feasibility of Saliva-delivered PCR Coronavirus 2019 Tests for Young Children. Pediatrics. 2023 July; 152(1). doi: 10.1542/peds.2022-060352D

Olfson, M., et al. (2023) Treatment of US Children With Attention-Deficit/Hyperactivity Disorder in the Adolescent Brain Cognitive Development Study. JAMA Network Open. 2023 April; 6(4). doi: 10.1001/jamanetworkopen.2023.10999

Reed, D. M., et al. (2023) Eye Dynamics and Engineering Network Consortium: Baseline Characteristics of a Randomized Trial in Healthy Adults. Ophthalmol Glaucoma. 2023 March; 6(2): 215-223. doi: 10.1016/j.ogla.2022.09.001

Chan, N. W., et al. (2022) Social determinants of health data in solid organ transplantation: National data sources and future directions. Am J Transplant. 2022 October; 22(10): 2293-2301. doi: 10.1111/ajt.17096

Charron, E., et al. (2022) Pain Severity and Interference and Substance Use Among Community Pharmacy Patients Prescribed Opioids: A Secondary Analysis of the PHARMSCREEN Study. Journal of Pain. 2022 August; 23(8): 1448-1459. doi: 10.1016/j.jpain.2022.03.238

Aguinaldo, L. D., et al. (2022) Application of the RDoC Framework to Predict Alcohol Use and Suicidal Thoughts and Behaviors among Early Adolescents in the Adolescent Brain and Cognitive Development (ABCD) Study. Brain Sciences. 2022 July; 12(7): 15.

Brown, J. L., et al. (2022) Associations between elevated depressive symptoms and substance use, prescription opioid misuse, overdose history, pain, and general health among community pharmacy patients prescribed opioids. Substance Abuse. 2022 May; 43(1): 1110-1115. doi: 10.1080/08897077.2022.2060450

Pomeroy, A., et al. (2022) Protocol for a Longitudinal Study of the Determinants of Metabolic Syndrome Risk in Young Adults. Translational Journal of the American College of Sports Medicine. 2022 April; 7(2): 8. doi: 10.1249/tjx.0000000000000197

Brown, L. D., et al. (2022) Addressing Hispanic Obesity Disparities Using a Community Health Worker Model Grounded in Motivational Interviewing. American Journal of Health Promotion. 2022 February; 36(2): 259-268. doi: 10.1177/08901171211049679

Loring, D. W., et al. (2022) Rationale and Design of the National Neuropsychology Network. Journal of the International Neuropsychological Society. 2022 January; 28(1): 11-Jan. doi: 10.1017/S1355617721000199

Schettini, E., et al. (2021) Internalizing-externalizing comorbidity and regional brain volumes in the ABCD study. Development and Psychopathology. 2021 December; 33(5): 1620-1633.

Young Hye, K., et al. (2021) Predicting multilingual effects on executive function and individual connectomes in children: An ABCD study. Proceedings of the National Academy of Sciences of the United States of America. 2021 December; 118(49): 1-11. doi: 10.1073/pnas.2110811118

Barch, D. M., et al. (2021) Demographic and mental health assessments in the adolescent brain and cognitive development study: Updates and age-related trajectories. Developmental Cognitive Neuroscience. 2021 December; 52: 101031. doi: 10.1016/j.dcn.2021.101031

Purvis, R. S., et al. (2021) Trusted Sources of COVID-19 Vaccine Information among Hesitant Adopters in the United States. Vaccines. 2021 December; 9(12): 1418. doi: 10.3390/vaccines9121418

Braddock, A. S., et al. (2021) Assessing Racial and Ethnic Discrimination in Children: A Scoping Review of Available Measures for Child Health Disparities Research. Health Equity. 2021 October; 5(1): 727-737. doi: 10.1089/heq.2021.0008

Dawes, K., et al. (2021) Epigenetic Analyses of Alcohol Consumption in Combustible and Non-Combustible Nicotine Product Users. Epigenomes. 2021 September; 5(3): 18. doi: 10.3390/epigenomes5030018

Krebs, N. M., et al. (2021) Switching to Progressively Reduced Nicotine Content Cigarettes in Smokers With Low Socioeconomic Status: A Double-Blind Randomized Clinical Trial. Nicotine & Tobacco Research. 2021 May; 23(6): 992-1001. doi: 10.1093/ntr/ntaa247

Roth, A. R., et al. (2021) Network recall among older adults with cognitive impairments. Social Networks. 2021 January; 64: 99-108. doi: 10.1016/j.socnet.2020.08.005

Barbirou, M., et al. (2020) Western influenced lifestyle and Kv2.1 association as predicted biomarkers for Tunisian colorectal cancer. BMC Cancer. 2020 November; 20: Article Number: 1086. doi: 10.1186/s12885-020-07605-7

Omodior, O. and W. D. Ramos (2020) Social Determinants of Health-Related Quality of Life: A Recreation Setting Analysis. Health Promotion Practice. 2020 November; 21(6): 952-961. doi: 10.1177/1524839919827572

Chia, A. R., et al. (2020) Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics: The GUSTO study. Scientific Reports. 2020 June; 10(1). doi: 10.1038/s41598-020-66026-5

Wu, Y., et al. (2020) Short-term exposure to air pollution and its interaction effects with two ABO SNPs on blood lipid levels in northern China: A family-based study. Chemosphere. 2020 June; 249: 8. doi: 10.1016/j.chemosphere.2020.126120

Kanter, J., et al. (2020) Perceptions of US Adolescents and Adults With Sickle Cell Disease on Their Quality of Care. Jama Network Open. 2020 May; 3(5). doi: 10.1001/jamanetworkopen.2020.6016

LeLaurin, J. H., et al. (2020) An Implementation Trial to Improve Tobacco Treatment for Cancer Patients: Patient Preferences, Treatment Acceptability and Effectiveness. International Journal of Environmental Research and Public Health. 2020 April; 17(7): 12. doi: 10.3390/ijerph17072280

Walsh J.J., et al. (2020) Associations between duration and type of electronic screen use and cognition in US children. Computers in Human Behavior. 2020 February; 108: 9. doi: 10.1016/j.chb.2020.106312

Harker, J. L. and J. A. Jensen. (2020) Adding insult to rivalry: Exploring the discord communicated between rivals. International Journal of Sports Marketing & Sponsorship. 2020 January; 21(4): 633-649. doi: 10.1108/IJSMS-12-2019-0141

Goodman, M., et al. (2020) Group (?Project Life Force?) versus individual suicide safety planning: A randomized clinical trial. Contemporary Clinical Trials Communications. 2020 January; 17: 100520. doi: 10.1016/j.conctc.2020.100520

Hankins, J. S., et al. (2018) Sickle Cell Clinical Research and Intervention Program (SCCRIP): A lifespan cohort study for sickle cell disease progression from the pediatric stage into adulthood. Pediatr Blood Cancer. 2018 September; 65(9): 27228. doi: 10.1002/pbc.27228

Barch, D. M., et al. (2018) Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description. Dev Cogn Neurosci. 2018 August; 32: 55-66. doi: 10.1016/j.dcn.2017.10.010

Unger, J. B. (2018) Perceived Discrimination as a Risk Factor for Use of Emerging Tobacco Products: More Similarities Than Differences Across Demographic Groups and Attributions for Discrimination. Subst Use Misuse. 2018 August; 53(10): 1638-1644. doi: 10.1080/10826084.2017.1421226

Juan, J., et al. (2017) Joint Effects of PON1 Polymorphisms and Vegetable Intake on Ischemic Stroke: A Family-Based Case Control Study. Int J Mol Sci. 2017 December; 18(12): E2652. doi: 10.3390/ijms18122652

Kwok, R. K., et al. (2017) The GuLF STUDY: A Prospective Study of Persons Involved in the Deepwater Horizon Oil Spill Response and Clean-Up. Environ Health Perspect. 2017 April; 125(4): 570-578. doi: 10.1289/EHP715

Sanderson, S. C., et al. (2017) Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US. Am J Hum Genet. 2017 March; 100(3): 414-427. doi: 10.1016/j.ajhg.2017.01.021

Modibbo, F., et al. (2017) Randomized trial evaluating self-sampling for HPV DNA based tests for cervical cancer screening in Nigeria. Infect Agent Cancer. 2017 February; 12: 11. doi: 10.1186/s13027-017-0123-z

Krebs, N. M., et al. (2016) Comparison of Puff Volume With Cigarettes per Day in Predicting Nicotine Uptake Among Daily Smokers. Am J Epidemiol. 2016 July; 184(1): 48-57. doi: 10.1093/aje/kwv341

Hitz, M.M., Conway, P.G, Palcher, J.A., McCarty, C.A. (2014) Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes. BMC Research Notes. 2014 November; 7(847). doi: 10.1186/1756-0500-7-847

McCarty, C.A., Berg, R., Rottscheit, C.M., Waudby, C.J., Kitchner, T., Brilliant, M., Ritchie, M.D. (2014) Validation of PhenX measures in the personalized medicine research project for use in gene/environment studies. BMC Med Genomics. 2014 January; 7: 3. doi: 10.1186/1755-8794-7-3

Mapping for PX010101_Age

dbGAP Study	dbGAP Variable	dbGAP Variable Description
A Study of the Genetic Causes of Complex Pediatric Disorders	phv00173610	Age in days at time of testing
Autosomal recessive TPP2 mutations cause a new human immunodeficiency	phv00221155	Subject age
Breast Cancer Study	phv00220930	Age at registration in decades [Years]
CARDIA Cohort	phv00113717	BIRTHDATE (VERIFIED AT EXAM 2)
CARDIA Cohort	phv00114448	DATE LAST STOPPED BCP'S
CARDIA Cohort	phv00115116	BIRTHDATE (VERIFIED AT EXAM 2)
CARDIA Cohort	phv00116381	BIRTHDATE (VERIFIED AT EXAM 2)
CARDIA Cohort	phv00116483	PATIENT DATA: DATE OF BIRTH
CARDIA Cohort	phv00117582	BIRTHDATE (VERIFIED AT EXAM 2)
CARDIA Cohort	phv00120736	BIRTHDATE (VERIFIED AT PPTS LAST EXAM)
CARDIA Cohort	phv00119625	BIRTHDATE (VERIFIED AT PPTS LAST EXAM)
Cardiovascular Health Study (CHS) Cohort	phv00100689	Date of birth in 5 year intervals e.g. 1895 = 1895-1899
Chromothripsis in Patient WHIM-09	phv00222544	Subject age
DCCT-EDIC Clinical Trial and Follow-up of Persons with Type 1 Diabetes	phv00032010	Date of birth
Diet, Genetic Factors, and the Gut Microbiome in Crohn's Disease	phv00090690	Date of birth
Discovery of Non-ETS Gene Fusions using RNA Sequencing	phv00142649	Age in years
DNA Methylation age and mortality in the Lothian Birth Cohorts	phv00219094	Age at baseline
Framingham Cohort	phv00164567	Age in years at baseline
Framingham Cohort	phv00164590	Incident stroke subtype. Subtype is available only on a subset of samples, so will be missing for some with non-missing age at incident stroke
Framingham Cohort	phv00177318	Medical History-Alcohol Consumption: At what age did you stop drinking alcohol?
Framingham Cohort	phv00177569	Respiratory Disease Questionnaire-Technician administered: If you no longer have it, at what age did it stop?
Framingham Cohort	phv00182407	Needed for a few FHS EOMI cases where confirmed early onset MI occurred before entering study. The remaining EOMI cases were incident and use of age at baseline and mi_tte_or_censor will provide age at MI for those cases
Framingham Cohort	phv00008828	AGE AT TUBAL LIGATION
Framingham Cohort	phv00003503	AGE 60, MORE THAN 3 MONTHS-YEAR IN SUNNY CLIMATE
Framingham Cohort	phv00021295	ASTHMA: AT WHAT AGE DID IT START? (AGE IN YEARS)
Framingham Cohort	phv00021401	CALCULATED AGE AT EXAM 1
Framingham Cohort	phv00054699	AGE AT LAST BIRTHDAY
Framingham Cohort	phv00054982	AGE (SAME AS E005), AGE AT LAST BIRTHDAY
Framingham Cohort	phv00056587	Age = StdyDtqa - DOB
Framingham Cohort	phv00072499	SINCE YOUR LAST EXAM HAVE YOU HAD ...EMPHYSEMA: AGE CONDITION BEGAN
Framingham Cohort	phv00072071	IF PERIODS HAVE STOPPED, AGE WHEN PERIODS STOPPED (IF PERIODS NOW INDUCED BY HORMONES, CODE AGE WHEN PERIODS NATURALLY STOPPED)
Framingham Cohort	phv00056723	Age (age = formdate - DOB)
Framingham Cohort	phv00036428	STOP_AGE approximated
FusionSeq: Finding Fusions with Paired-End RNA-Seq	phv00156545	Age in years
GenADA/LONG/Imaging (Genetic Alzheimer's Disease Associations)	phv00081346	Age in Years
Genetic Multiple Sclerosis Associations - GeneMSA	phv00073000	Birth date
Genetic Multiple Sclerosis Associations - GeneMSA	phv00072999	Age in years
GENEVA Diabetes Study (NHS/HPFS)	phv00022875	Age in years
GWAS on Cataract and HDL in the PMRP	phv00181786	About how old were you? (Last skin rash)
GWAS on Cataract and HDL in the PMRP	phv00181777	About how old were you? (First sunburn)
GWAS on Cataract and HDL in the PMRP	phv00181776	How old were you the first time you got a blistering sunburn?
GWAS on Cataract and HDL in the PMRP	phv00181778	How old were you the last time you got a blistering sunburn?
GWAS on Cataract and HDL in the PMRP	phv00181779	About how old were you? (Last sunburn)
GWAS on Cataract and HDL in the PMRP	phv00181783	How old were you the first time you got a skin rash from sun exposure?
GWAS on Cataract and HDL in the PMRP	phv00181784	About how old were you? (Skin rash)
GWAS on Cataract and HDL in the PMRP	phv00181785	How old were you the last time you got a skin rash from sun exposure?
GWAS on Cataract and HDL in the PMRP	phv00181800	About how old were you? (Last tanning booth use)
GWAS on Cataract and HDL in the PMRP	phv00181790	How old were you the first time you used a sunlamp?
GWAS on Cataract and HDL in the PMRP	phv00181791	About how old were you? (First sunlamp use)
GWAS on Cataract and HDL in the PMRP	phv00181792	How old were you the last time you used a sunlamp?
GWAS on Cataract and HDL in the PMRP	phv00181793	About how old were you? (Last sunlamp use)
GWAS on Cataract and HDL in the PMRP	phv00181797	How old were you the first time you used a tanning booth?
GWAS on Cataract and HDL in the PMRP	phv00181798	About how old were you? (First tanning booth use)
GWAS on Cataract and HDL in the PMRP	phv00181799	How old were you the last time you used a tanning booth?
Jackson Heart Study (JHS) Cohort	phv00181208	Age in years at first participant visit
Jackson Heart Study (JHS) Cohort	phv00165330	Age in years at baseline
Jackson Heart Study (JHS) Cohort	phv00128273	15:Age stop taking birth control pills?
Jackson Heart Study (JHS) Cohort	phv00128271	13:Age start taking birth control pills?
Jackson Heart Study (JHS) Cohort	phv00125920	CARe PARTICIPANT DATE OF BIRTH YEAR
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00085254	AGE AT FIRST LIVE BIRTH
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00083021	AGE AT FIRST LIVE BIRTH
NHLBI ARIC Candidate Gene Association Resource (CARe)	phv00190304	Age in years at first participant visit
NHLBI GO-ESP: Early-Onset Myocardial Infarction (Broad EOMI)	phv00160321	Age in years at baseline LDL
NHLBI GO-ESP: Heart Cohorts Exome Sequencing Project (ARIC)	phv00163946	Age in years at baseline
NHLBI GO-ESP: Heart Cohorts Exome Sequencing Project (CARDIA)	phv00190560	Age in years at baseline
NHLBI GO-ESP: Heart Cohorts Exome Sequencing Project (CHS)	phv00165163	Age in years at baseline
NHLBI GO-ESP: Heart Cohorts Exome Sequencing Project (MESA)	phv00178028	Age in years at baseline
NICHD Genomic and Proteomic Network for Preterm Birth Research (GPN)	phv00200502	Certain of the date?
Osteosarcoma Genomics	phv00220905	Age of patient at diagnosis
Pediatric Cardiac Genetics Consortium (PCGC)	phv00181075	Birth age
Pediatric Cardiac Genetics Consortium (PCGC)	phv00181020	Birth age
SNP Health Association Resource (SHARe) Asthma Resource Project (SHARP)	phv00071107	Age at Follow-up (visit date - date of birth) / 365.25
SNP Health Association Resource (SHARe) Asthma Resource Project (SHARP)	phv00071049	Age at Baseline. (visit date - date of birth) / 365.25
SNP Health Association Resource (SHARe) Asthma Resource Project (SHARP)	phv00071157	Age at Baseline. (visit date - date of birth) / 365.25
Study of Melanoma Risk in Australia and the United Kingdom	phv00182333	How old were you when you first used a sunlamp or sunbed
Study of Melanoma Risk in Australia and the United Kingdom	phv00182332	How old were you when you last used a sunlamp or sunbed
The Genomic Complexity of Primary Human Prostate Cancer	phv00154530	Age in years
The Human Virome and Febrile Illness in Children	phv00098403	Age in years when participant started study
The Human Virome and Febrile Illness in Children	phv00098404	Age in months when participant started study
Type 2 Diabetes Starr County GWAS and Exome Sequencing	phv00066506	Age in years
Whole Genome Profiling to Detect Schizophrenia Methylation Markers	phv00191010	Age (in years)

Mapping for PX010101_Birthdate_Day

dbGAP Study	dbGAP Variable	dbGAP Variable Description
Cardiovascular Health Study (CHS) Cohort	phv00101327	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00102177	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00103784	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00104471	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00105106	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00106523	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00107446	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00108306	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00109059	DAY BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00109771	DAY BORN 3MSE Score Component
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00174653	Q2) WHEN WERE YOU BORN? DAY
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00176076	Q2) WHEN WERE YOU BORN? DAY
Women's Health Initiative	phv00079233	F39 Birth day answer code

Mapping for PX010101_Birthdate_Month

dbGAP Study	dbGAP Variable	dbGAP Variable Description
Cardiovascular Health Study (CHS) Cohort	phv00101328	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00102178	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00103785	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00104472	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00105107	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00106524	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00107447	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00108307	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00109060	MONTH BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00109772	MONTH BORN 3MSE Score Component
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00174652	Q2) WHEN WERE YOU BORN? MONTH
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00176075	Q2) WHEN WERE YOU BORN? MONTH
Women's Health Initiative	phv00079232	F39 Birth month answer code

Mapping for PX010101_Birthdate_Year

dbGAP Study	dbGAP Variable	dbGAP Variable Description
A Study of the Genetic Causes of Complex Pediatric Disorders	phv00173739	Year of birth
A Study of the Genetic Causes of Complex Pediatric Disorders	phv00173711	Year of birth
A Study of the Genetic Causes of Complex Pediatric Disorders	phv00173683	Year of birth
A Study of the Genetic Causes of Complex Pediatric Disorders	phv00173657	Year of birth
A Study of the Genetic Causes of Complex Pediatric Disorders	phv00173630	Year of birth
A Study of the Genetic Causes of Complex Pediatric Disorders	phv00173609	Year of birth
Atherosclerosis Risk in Communities (ARIC) Cohort	phv00092597	Year of birth
CARDIA Cohort	phv00116392	Birth_yr
Cardiovascular Health Study (CHS) Cohort	phv00104473	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00103786	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00102179	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00101329	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00105108	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00106525	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00107448	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00108308	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00109061	YEAR BORN 3MSE Score Component
Cardiovascular Health Study (CHS) Cohort	phv00109773	YEAR BORN 3MSE Score Component
CCDG: Dental Caries and CL/P in Guatemala	phv00164775	Calendar Year of Birth.
CCHMC - eMERGE Data	phv00171345	Year of birth
CIDR: Collaborative Study on the Genetics of Alcoholism (COGA)	phv00044686	What is your birth year? - Note: The data values for this variable represent harmonized values; they were derived from information obtained with Sections A and E of the SSAGAI and SSAGAII questionnaires.
CIDR: Genome Wide Association Study in Familial Parkinson Disease (PD)	phv00045169	Year of birth. U = Unavailable
Dental Caries GWAS	phv00165473	Calendar Year of Birth
Dental Caries GWAS	phv00090200	Calendar Year of Birth
Diet, Genetic Factors, and the Gut Microbiome in Crohn's Disease	phv00090716	Year of birth
Diet, Genetic Factors, and the Gut Microbiome in Crohn's Disease	phv00090823	Year of birth
Diet, Genetic Factors, and the Gut Microbiome in Crohn's Disease	phv00090690	Date of birth
Genetic Basis of Pulmonary Non-tuberculous Mycobacterial Infections	phv00200423	Year of birth
Genetic Multiple Sclerosis Associations - GeneMSA	phv00073000	Birth date
Genetics Consortium for Late Onset of Alzheimer's Disease (LOAD CIDR Project)	phv00071844	Subject's year of birth
Genetics of Cerebral Hemorrhage with Anticoagulation (GOCHA)	phv00169273	Subject's year of birth
GENEVA Study of Preterm Delivery (DNBC/Iowa)	phv00121902	Child's year of birth, from the Civil Registration System
GENEVA: The Atherosclerosis Risk in Communities (ARIC) Study	phv00080732	Year of birth
Genomic Sequencing of Colorectal Adenocarcinomas	phv00162711	Year of birth of participant
Human Gut Microbiome in Crohn's Disease	phv00090577	Year of birth
IMSGC Genome Wide Association Study of Multiple Sclerosis	phv00065553	Year of birth
Jackson Heart Study (JHS) Cohort	phv00125920	CARe PARTICIPANT DATE OF BIRTH YEAR
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00174651	Q2) WHEN WERE YOU BORN? YEAR
Multi-Ethnic Study of Atherosclerosis (MESA) Cohort	phv00176074	Q2) WHEN WERE YOU BORN? YEAR
Neurodevelopmental Genomics: Trajectories of Complex Phenotypes	phv00194004	Year of birth
NHLBI Cleveland Family Study (CFS) Candidate Gene Association Resource (CARe)	phv00124327	Birth year - interval
NIA - Late Onset Alzheimer's Disease and National Cell Repository for Alzheimer's Disease Family Study: Genome-Wide Association Study for Susceptibility Loci	phv00071269	Subject's year of birth
NIDDK IBD Genetics Consortium Ulcerative Colitis Genome-Wide Association Study	phv00162977	Year of birth
NIDDK IBDGC Crohn's Disease Genome-Wide Association Study	phv00057992	Year of birth
Northwestern NUgene Project: Type 2 Diabetes	phv00158819	Year of birth
Resource for Genetic Epidemiology Research on Aging (GERA)	phv00196826	Year of birth, in 5-year categories
Study of Addiction: Genetics and Environment (SAGE)	phv00022912	Year of birth
T1DGC: Genome-Wide Association Study in Type 1 Diabetes, 2008	phv00073464	Approximate year of birth
The Collaborative Study on the Genetics of Alcoholism (COGA)	phv00217636	Year of Birth
The Gene Partnership (TGP) - eMERGE Data	phv00171961	Year the participant was born
The Genetic Architecture of Smoking and Smoking Cessation	phv00162916	Year of birth
The Genetic Architecture of Smoking and Smoking Cessation	phv00162805	Year of birth
Vanderbilt Genome-Electronic Records (VGER) Project: QRS Duration	phv00077279	Participant's year of Birth
Whole Exome Sequencing in Familial Parkinson Disease	phv00161324	Year of birth of subject
Whole-Genome Sequencing of Acute Myeloid Leukemia	phv00163802	Year Patient Was Born