Protocol - Current Marital Status

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

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

Interviewer-administered questionnaire

Lifestage

Adult, Senior

Participants

Adults 18 years or older 

Selection Rationale

This protocol was selected because it is the most current and inclusive.

Language

English, Other languages available at source

Standards

Standard	Name	ID	Source

Derived Variables

None

Process and Review

The PhenX Steering Committee reviewed this measurement protocol. Guidance from the SC includes:

• Replaced protocol
• New data dictionary

Not back-compatible: requires changes to Data Dictionary

Previous version in Toolkit archive (link)

Variable mapping (link)

Protocol Name from Source

Behavioral Risk Factor Surveillance System (BRFSS), Core Section 8: Demographics, 2018

Source

Behavioral Risk Factor Surveillance System (BRFSS) 2018 Core Section 8: Demographics Question C08.06.

General References

Pierannunzi C, Hu S, Balluz L. A systematic review of publications assessing reliability and validity of the Behavioral Risk Factor Surveillance System (BRFSS), 2004–2011External 2013, 13:49

Li C, Balluz LS, Ford ES, Okoro CA, Zhao G, Pierannunzi, C. A Comparison of Prevalence Estimates for Selected Health Indicators and Chronic Diseases or Conditions from the Behavioral Risk Factor Surveillance System, the National Health Interview Survey, and the National Health and Nutrition Examination Survey, 2007-2008. Preventive Medicine. 2012 Jun; 54(6):381-7.

Nelson DE, Powell-Griner E, Town M, Kovar MG. A comparison of national estimates from the National Health Interview Survey and the Behavioral Risk Factor Surveillance System. American Journal of Public Health, 2003; 93:1335–1341.

Rutigilano, R, Esping-Andersen, G. Partnership Choice and Childbearing in Norway and Spain. European Journal of Population. 2018; 34(3): 367-385.

Protocol ID

10903

Variables

Export Variables

Variable Name	Variable ID	Variable Description	dbGaP Mapping
PX010903_Current_Marital_Status
	PX010903000000	What best describes your current marital status?	N/A

Demographics

Measure Name

Current marital status

Release Date

June 4, 2019

Definition

Question asking the respondent for his or her current marital status.

Purpose

Marital status has been linked to health and mortality.

Keywords

Demographics, Centers for Disease Control and Prevention, CDC, cohabiting, marriage, spouse, partner, married, National Survey of Family Growth, NSFG

Measure Protocols

Protocol ID	Protocol Name
10903	Current Marital Status

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

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

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

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

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

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

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

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