Army Study to Assess Risk and Resilience in Servicemembers (STARRS) (ICPSR 35197)
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April 29, 2025: STARRS - Longitudinal Study Wave 4 (LSW4) data released*****************************************************************************************
The Army Study to Assess Risk and Resilience in Servicemembers (STARRS) is an extensive study of mental health risk and resilience among military personnel. Army STARRS consists of eight separate but integrated epidemiologic and neurobiologic studies. Survey data for three of the Army STARRS study components are available via Secure Dissemination or via the ICPSR Virtual Data Enclave: New Soldier Study (NSS); All Army Study (AAS) and Pre-Post Deployment Study (PPDS). Also available are data for the STARRS-Longitudinal Study (STARRS-LS), which are follow-up surveys conducted with Army STARRS participants from AAS, NSS and PPDS studies. Lastly, baseline administrative data from the Army/Department of Defense (DoD) and blood sample flags for Soldiers who had blood drawn as a part of their participation in NSS or PPDS are available.
The AAS component of Army STARRS assesses soldiers' psychological and physical health, events encountered during training, combat, and non-combat operations, and life and work experiences across all phases of Army service. The AAS data includes data on soldiers' psychological resilience, mental health, and risk for self-harm.
The NSS data are drawn from new soldiers who have just entered the Army. The data contain information on soldier health, personal characteristics, and prior experiences. Results from a series of neurocognitive tests are also included in the NSS data.
The PPDS data are drawn from active duty soldiers who were interviewed at four points in time: 3-4 months prior to deployment to Afghanistan; within 1-2 weeks after return from deployment; 1-3 months after return from deployment; and 9-12 months after return from deployment. The PPDS data contain information on soldiers' psychological resilience, mental health, deployment experiences, and risk for self-harm.
The STARRS-LS data are from multiple follow-up interviews with individuals who previously participated in the AAS, NSS and PPDS study components of Army STARRS. STARRS-LS data contain follow-up information on soldiers' and veterans' physical and mental health, resilience and risk for self-harm, military and employment status, deployment experience, and personal characteristics as they move through their Army careers and after they leave the Army.
Community Health Center: Core Data Project, 2001-2002 [United States] (ICPSR 21520)
Drug Use Trajectories: Ethnic/Racial Comparisons, 1998-2002 [United-States] (ICPSR 30862)
Los Angeles Metropolitan Area Surveys [LAMAS] 5, 1972 (ICPSR 36624)
The Los Angeles Metropolitan Area Surveys [LAMAS] 5, 1972 collection reflects data gathered in 1972 as part of the Los Angeles Metropolitan Area Surveys (LAMAS). The LAMAS, beginning in the spring of 1970, were a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy.
The LAMAS instruments, indexes, and scales were used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this survey covered respondents' attitudes toward the following topics: health care services in the community, problems facing Los Angeles and the United States, psychological well-being, civic engagement, political party affiliation, and financial well-being. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics included: air pollution, drinking and driving, and school and residential desegregation.
Demographic variables in this collection include age, marital status, sex, education, income, household size, race, ethnicity, and housing type.
Los Angeles Metropolitan Area Surveys [LAMAS] 6, 1973 (ICPSR 36615)
The Los Angeles Metropolitan Area Studies [LAMAS] 6, 1973 collection reflects data gathered in 1973 as part of the Los Angeles Metropolitan Area Studies (LAMAS). The LAMAS, beginning in the spring of 1970, are a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy.
The LAMAS instruments, indexes, and scales used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this year of the LAMAS cover respondents' attitudes toward the following topics: air pollution, health care services in the community, local government politics, police relations, recreation and leisure time. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics include: sleep habits, the true self, impact of computers, job seeking behavior, and mental health and psychological factors.
Demographic variables in this collection include sex, age, race, ethnicity, education, occupation, income, religion, marital status, birth place, and housing type.
Los Angeles Metropolitan Area Surveys [LAMAS] 8, 1974 (ICPSR 36614)
The Los Angeles Metropolitan Area Surveys [LAMAS] 8, 1974 collection reflects data gathered in 1974 as part of the Los Angeles Metropolitan Area Surveys (LAMAS). The LAMAS, beginning in the spring of 1970, are a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy.
The LAMAS instruments, indexes, and scales were used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this survey cover respondents' attitudes toward the following topics: commute times, means of transportation, and trust in government. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional topics include: mental health and psychological factors, access to medical care, alcoholism, the energy crisis, and attitudes towards black-owned businesses.
Demographic variables in this dataset include age, sex, marital status, ethnicity, education, income, occupation, political party affiliation, and language.
Los Angeles Metropolitan Area Surveys [LAMAS] 9, 1974 (ICPSR 36607)
The Los Angeles Metropolitan Area Surveys [LAMAS] 9, 1974 collection reflects data gathered in 1974 as part of the Los Angeles Metropolitan Area Surveys (LAMAS). The LAMAS, beginning in the spring of 1970, were a shared-time omnibus survey of Los Angeles community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy.
The LAMAS instruments, indexes, and scales were used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this survey covered respondents' attitudes toward the following topics: health care services in the community, financial well-being, local government politics, drinking and driving, views of President Gerald Ford, migration, and psychological well-being. Participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics included: medical care, health, and personal values.
Demographic variables in this dataset include age, sex, education, marital status, household size, income, race, ethnicity, geographic origin, and housing type.