Protocol - Sex Assigned at Birth
Description
Participants (or proxy) indicate the biological sex assigned at birth. It can be self-administered or interviewer administered.
Specific Instructions
Availability
Protocol
What was your biological sex assigned at birth?
[ ] Female
[ ] Male
[ ] Intersex
[ ] None of these describe me (optional free text)
[ ] Prefer not to answer
Personnel and Training Required
None
Equipment Needs
The PhenX Steering Committee acknowledges these questions can be administered in a computerized or noncomputerized format (i.e., paper-and-pencil instrument). Computer software is necessary to develop computer-assisted instruments. The interviewer will require a laptop computer/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
Self-administered or interviewer-administered questionnaire
Lifestage
Adult, Senior
Participants
Adults 18 years and older
Selection Rationale
This protocol was selected because it is both the most up-to-date and in use by the national All of Us research program.
Language
English, Other languages available at source
Standards
Standard | Name | ID | Source |
---|
Derived Variables
None
Process and Review
The NIH Sexual and Gender Minority Research Office (SGMRO) reviewed this protocol in August 2023.
- Changed Biological Sex Assigned at Birth protocol name to Sex Assigned at Birth
- Made Gender Identity and Sex Assigned at Birth protocols “essential” to one another
- Added NASEM report reference
- Removed The Precision Medicine Initiative Cohort Program, Collins, F.S. and Varmus, H., and National Research Council references
- Updated Specific Instructions
- Updated Protocol Definition
- Updated Purpose
- Updated Keywords
Protocol Name from Source
All of Us Research Program, Participant Provided Information (PPI), 2018
Source
All of Us Research Program Participant Provided Information (PPI) Version: December 17, 2018
General References
National Academies of Sciences, Engineering, and Medicine; Division of Behavioral and Social Sciences and Education; Committee on National Statistics; Committee on Measuring Sex, Gender Identity, and Sexual Orientation. Measuring Sex, Gender Identity, and Sexual Orientation. Becker T, Chin M, Bates N, editors. Washington (DC): National Academies Press (US); 2022 Mar 9. PMID: 35286054.
The GenIUSS Group. (2014). Best Practices for Asking Questions to Identify Transgender and Other Gender Minority Respondents on Population-Based Surveys. J.L. Herman (Ed.). Los Angeles, CA: The Williams Institute.
Protocol ID
11601
Variables
Export VariablesVariable Name | Variable ID | Variable Description | dbGaP Mapping | |
---|---|---|---|---|
PX011601_Biological_Sex_Assigned_Birth | ||||
PX011601010100 | What was your biological sex assigned at birth? | N/A | ||
PX011601_Biological_Sex_Assigned_Birth_Other | ||||
PX011601010200 | What was your biological sex assigned at more | N/A |
Measure Name
Sex Assigned at Birth
Release Date
June 4, 2019
Definition
The indication of the sex assigned to an individual at the time of birth, typically assigned based on visual inspection of infant anatomy. If sex assigned at birth and gender identity are different, it may indicate that a person is transgender.
Purpose
Sex assigned at birth is intended to record sex at birth, often based on visual inspection of an infant. Sex assigned at birth is intended to be used in conjunction with the Gender Identity protocol.
Keywords
sex, gender identity, female, male, intersex, LGBTQ, LGBTQIA
Measure Protocols
Protocol ID | Protocol Name |
---|---|
11601 | Sex Assigned at Birth |
Publications
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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
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
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
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.
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
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
Aguinaldo, L. D., et al. (2021) Preliminary analysis of low-level alcohol use and suicidality with children in the adolescent brain and cognitive development (ABCD) baseline cohort. Psychiatry Research. 2021 May; 299: 5. doi: 10.1016/j.psychres.2021.113825
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
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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
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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
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