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Project STRIDE: Stress, Identity, and Mental Health (ICPSR 35525)

Version Date: Jan 22, 2016 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Ilan Meyer, University of California-Los Angeles. School of Law. The Williams Institute; Bruce P Dohrenwend, Columbia University Medical Center; Sharon Schwartz, Columbia University Medical Center; Joyce Hunter, Columbia University Medical Center; Robert Kertzner, Columbia University Medical Center

Version V1 ()

  • V2 [2018-11-28]
  • V1 [2016-01-22] unpublished

This version of the data collection is no longer distributed by ICPSR.

Project STRIDE is a three-year research project that examines the effect of stress and minority identity related to sexual orientation, race/ethnicity and gender on mental health. The research describes social stressors that affect minority populations, explores the coping and social support resources that they utilize as they confront these social stressors, and assesses the associations of stress and coping with mental health outcomes including mental disorders and wellbeing. The study also explores the impact of various identity characteristics -- such as whether an identity is viewed positively or negatively, or whether it is prominent or not -- on the relationship of stress and mental health outcomes. The study, using extensive quantitative and some qualitative measures, is a longitudinal survey of 525 men and women between the ages 18 and 59 who are residents of New York City. Socio-demographic information collected about respondents included age, education (i.e., highest grade completed ranging from some high school to doctoral degree), race, and Hispanic ethnicity, adopting the measures developed and used by the United States Census Bureau in the United States population survey of 2000. In addition to these items, racial/ethnic identity was also assessed with the question "What is the country of origin related to your or your family's ethnic or national background, if any?" Respondents were allowed to select up to two nations from a comprehensive listing. For the purposes of the study, the instrument also assessed whether or not participants were natives of New York City or migrated as adults. Additional demographic variables include employment status, religion, relationship status, and sexual orientation.

Meyer, Ilan, Dohrenwend, Bruce P, Schwartz, Sharon, Hunter, Joyce, and Kertzner, Robert. Project STRIDE: Stress, Identity, and Mental Health. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2016-01-22.

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United States Department of Health and Human Services. National Institutes of Health. National Institute of Mental Health (5R01MH066058)


Public and restricted versions of the data are included in this collection. Due to the sensitive nature of the restricted data, users will need to complete a Restricted Data Use Agreement before they can obtain the restricted version. These forms can be accessed on the download page associated with this dataset.

Inter-university Consortium for Political and Social Research
2004 -- 2005
2004-02 -- 2005-01

The primary aims of the project were: (a) to describe identity structures and social stressors related to prejudice among minority group members, (b) to explore coping and social support resources that minority group members use to confront social stressors, and (c) to assess the associations among stress, identity, and mental health problems.

The study used a longitudinal design with measures at baseline and after a one-year follow-up. More information is available in the document "Project Stride Methodology and Technical Notes".

Respondents were selected from among eligible screened individuals using a representative case quota sampling method (Shontz, 1965) to fill 16 cells of a table corresponding to variation in gender (male and female), sexual orientation (LGB and straight), race/ethnicity (White, Black, and Latino), and age group (18-30 and 31-59). Individuals were eligible to participate in the study if they (a) self-identified as male or female and were assigned that sex at birth; (b) self-identified as lesbian, gay, bisexual (LGB), straight, or used other terms conveying such identification (e.g., queer, heterosexual); (c) self-identified as White, Black, or Latino or used other terms conveying such identifications (e.g., Hispanic, African American); (d) were between 18 and 59 years of age; (e) resided in New York City for two years or more; and (f) were able to speak English well enough to engage in casual conversation. Individuals were not eligible to participate in the study if a close family member or live-in partner already participated in the study.

Longitudinal, Cross-sectional ad-hoc follow-up, Cross-sectional

Adults between 18 to 59 years of age, residing in New York City for two years or more, who are able to speak English well enough to engage in casual conversation.


The interview contained a number of both quantitative and qualitative measures including the following areas: demographic characteristics and screens, outcomes, predictors, self and identity, coping and social support, and potential confounders and effect modifiers.

The cooperation rate for the study was 79 percent and the response rate was 60 percent (AAPOR, 2005).


2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Meyer, Ilan, Bruce P Dohrenwend, Sharon Schwartz, Joyce Hunter, and Robert Kertzner. Project STRIDE: Stress, Identity, and Mental Health. ICPSR35525-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2016-01-22.

2016-01-22 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Performed consistency checks.
  • Created variable labels and/or value labels.
  • Standardized missing values.
  • Performed recodes and/or calculated derived variables.
  • Checked for undocumented or out-of-range codes.