Protocol - Birthplace
The respondent completes the self-administered questionnaire by indicating his or her place of birth. If he or she was born in the United States, an additional question captures the state, if known. If he or she was not born in the United States, another open-ended question asks for this location.
The following question has been revised from the original. Where were you born?
[ ] In the United States - Print name of state
[ ] Outside the United States - Print U.S. Territory (e.g., Puerto Rico, U.S. Virgin Islands, Guam) or name of foreign country, etc.
Personnel and Training Required
This question may be self-administered (as in the source protocol) or administered by an interviewer with a paper-and-pencil or computer-assisted interview. 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).
Either a paper-and-pencil or computer-assisted instrument may be used. If a computer-assisted instrument is used, computer software may be necessary to develop the instrument. The interviewer will require a laptop computer or handheld computer to administer a computer-assisted questionnaire.
|Specialized requirements for biospecimen collection||No|
|Average time of greater than 15 minutes in an unaffected individual||No|
Mode of Administration
Self-administered or interviewer-administered questionnaire
Infant, Toddler, Child, Adolescent, Adult, Senior, Pregnancy
Any age. A proxy may also provide this information.
Birthplace can be informative of a respondent’s race/ethnicity and ancestry. Open-ended response was preferred to a coded list of countries.
Chinese, English, Spanish
|Logical Observation Identifiers Names and Codes (LOINC)||Birthplace proto||63046-7||LOINC|
|caDSR Form||PhenX PX010201 - Birthplace||5791046||caDSR Form|
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
American Community Survey (ACS), 2008
U.S. Census Bureau. (2008). American Community Survey (ACS), 2008. Washington, DC: Author. Question number: Person 1, #7.
Public Population Project in Genomics (P3G) Data Schema and Harmonization Platform for Epidemiological Research (DataSHaPER).
U.S. Census Bureau. (2007). 2006 American Community Survey Content Test Report P.1. Evaluation report covering place of birth, U.S. citizenship status, and year of arrival. Washington, DC: Author.
|Variable Name||Variable ID||Variable Description||dbGaP Mapping|
|PX010201010000||Where were you born?||Variable Mapping|
|PX010201020000||Where were you born? In the United States - more||Variable Mapping|
February 6, 2009
Question asking the respondent in what country he or she was born.
Birthplace is requested to determine if the individual was born in the United States, in a U.S. Territory, or in a foreign country. Large national surveys like the U.S. Census and American Community Survey (ACS) use birthplace data to quantify immigration.
birthplace, Demographics, ancestry, immigration, place of birth, country of birth, American Community Survey, ACS, U.S. Census Bureau, immigrant health
|Protocol ID||Protocol Name|
Bart, T. A., et al. (2023) Measurement invariance of commonly used psychosis-screening scales in US Spanish- and English-speaking Hispanic participants. Psychological Assessment. 2023 April; 35(4): 300-310. doi: 10.1037/pas0001207
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
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.
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
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
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
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