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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.

The Iowa Adoption Studies were conducted between 1975 and 2008. The group of studies consist of 5 independent waves of data collection each of which examined genetic (biological) and environmental influences on psychopathology. The adoption paradigm allowed separation of genetic and environmental influences on behavior, as well as joint influences due to gene x environment interaction. Adoptees were interviewed about lifetime psychopathology including substance abuse and dependence, antisocial personality, and mood disorders. A follow-up study was conducted from 2000-2004 that recruited all previous participants and natural offspring of the adoptive parents when available. Standardized psychiatric assessments were administered along with measures of personality disorders and traits, retrospective reports on childhood experiences with adoptive parents, and current symptomatology. An extensive neurocognitive assessment was conducted on a subset of participants who had standardized school achievement scores. The goal of this last wave of assessment was to evaluate the influence of substance use on mid-life cognition and health.

The respondents were assessed using a number of different surveys over the study period. The following describes the notable variables as well as descriptions of the surveys included in the dataset.

The first variables in the dataset identify sibling pairs and provides data on whether the respondents' biological parents suffered from mental health or substance abuse issues. Next birth records are provided that give basic information about the health of the person when he or she was born. This information is followed by the survey results of "The Schedule for Nonadaptive and Adaptive Personality" (SNAP) as well as variables that reflect the diagnosis of personality disorders and nonadaptive personality traits based on the SNAP survey responses.

The next section includes responses from "The Iowa Personality Disorder Screen," a quick personality disorder screen developed in 1999 intended for use in clinical and research settings.

Next, responses to Pearson Assessments "Brief symptoms inventory" are included as well as the scores calculated based on these survey responses. The results of this survey assess the mental state of the patient including scales on Somatization, Obsessive-Compulsive, Interpersonal Sensitivity, Depression, Anxiety, Hostility, Phobic Anxiety, Paranoid Ideation and Psychoticism.

The respondents also completed the "Buss-Durkee Hostility Questionnaire" and were assessed on measure regarding the following hostility traits: negativism, resentment, indirect hostility, assault, suspicion, irritability and verbal hostility.

Reponses to the "The Social Provisions Scale" survey are also included. The purpose of this survey is to assess the relationship the respondents have to other people. The 6 social provisions assessed include: guidance, reliable alliance, reassurance of worth, attachment, social integration, and opportunity for nurturance.

"The Parental Bonding Instrument" instrument was utilized to assess the respondents' relationships to their mothers and fathers.

A series of cognitive tests were administered to respondents. ICPSR is unable to provide the survey instruments used in the cognitive test due to copy write issues. These tests include:

Controlled Oral Word Association Test (COWAT)

North American Adult Reading Test (NAART)

Rey Figure and Rey Complex Figure Test and Recognition Trial (RCFT)

Shipley Institute of Living Scale (SILS)

Stroop Color and Word Test (SCWT)

Tower of Hanoi (TofH)

Comprehensive Trailmaking Test (CTMT)

Weschler Adult Intelligence Test (WAIS)

Weschler Memory Test (WMS)

The dataset also includes respondents' results of the Comprehensive Performance Test (CPT) and the Iowa Gambling Task (IGT)

Scores from the "Iowa Test of Basic Skills," a test of academic achievement that evaluates students knowledge in subjects including, mathematics, reading comprehension, and science, are included in the dataset. Respondents are evaluated in grades 4, 8 and 11.

The final section of the dataset includes two waves of the "Semi Structured Assessment for the Genetics of Alcoholism," a survey intended to assess the physical, psychological, and social manifestations of alcohol abuse. These survey responses make up the bulk of the dataset and include variables on a variety of topics including: demographics, medical history, substance use, eating disorders, depression, dysthymia, mania, ASP, suicide, PTSD, generalized anxiety disorder, OCD, social phobia, agoraphobia, panic disorder, home environment, gambling, and ADHD. Substances use investigated includes alcohol, tobacco, marijuana, sedatives, stimulants, cocaine, opiates, solvents, hallucinogens, and other drugs.

This dataset includes 934 cases and 9,370 variables.

The Los Angeles Metropolitan Area Surveys [LAMAS] 3, 1971 collection reflects data gathered in 1973 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: the concept of a model neighborhood, air pollution, medical problems and health care services in the community, local government politics, police relations, crime, the Mexican-American protests, and public transportation. A sub-sample of households in the San Fernando Area were asked questions about the 1970 earthquake, rating the effectiveness of local government response and the respondents' feelings about possible future disasters.

Demographic variables included in this dataset include age, marital status, religion, sex, education, income, geographic origin, and race.

This study examines the prevalence of violence against American Indian and Alaska Native women and men, using a large nationally representative sample from the National Intimate Partner and Sexual Violence Survey (NISVS). More specifically, it provides estimates of sexual violence, physical violence by intimate partners, stalking, and psychological aggression by intimate partners. It also provides estimates of interracial and intraracial victimizations and briefly examines the impact of violence.

This study is based on two of the NISVS samples that were included in the 2010 data collection effort --the general population sample and the American Indian and Alaska Native oversample. This American Indian and Alaska Native oversample was collected from geographical areas (telephone exchanges) where at least 50% of the population identifies themselves as American Indian or Alaska Native.

To increase the generalizability of the American Indian and Alaska Native sample (and to add interviews conducted by cell phone), a new "combined" sample was created by including (a) all respondents in the American Indian and Alaska Native oversample and (b) 677 respondents in the general population sample who identified themselves as American Indian or Alaska Native. By combining these samples, a new sample was obtained that is large enough to produce reliable and valid estimates for all women and men in the United States who identify themselves as American Indian or Alaska Native. For a more exact discussion of the sample, see the NIJ Technical Report.

The combined sample includes 2,473 women and 1,505 men who identified themselves as American Indian or Alaska Native. Results from the combined American Indian and Alaska Native sample were compared to results from the sample of respondents in the general population sample who identified themselves as non-Hispanic White alone. The comparison sample includes 7,646 women and 6,050 men who identified themselves as non-Hispanic White alone.

There are 5 data files included with this study. Dataset 1 (General Population Raw Data) contains 18,957 cases and 26,114 variables. Dataset 2 (American Indian and Alaska Native (AIAN) Oversample Raw Data) contains 3,612 cases and 22,932 variables. Dataset 3 (Respondent-level Data) contains 21,378 cases and 493 variables. Dataset 4 (Perpetrator-level Data) contains 51,535 cases and 446 variables. Dataset 5 (Weights File) contains 3,978 cases and 9 variables.

The World Health Organization (WHO)'s Study on Global Ageing and Adult Health (SAGE) is a longitudinal follow-up of a cohort of ageing and older adults. SAGE has been built on the experience and standardized instruments of WHO's 2000/2001 Multi-country Survey Study (MCSS) and the 2002/2004 World Health Surveys (WHS).

These surveys focused on health and health-related outcomes and their determinants and impacts in nationally representative samples. These data will address data gaps on ageing, adult health and well-being in lower and middle income countries, whilst being comparable to surveys conducted in higher income countries (such as the United States' Health and Retirement Study (HRS), English Longitudinal Study of Ageing (ELSA), and the Survey of Health, Ageing and Retirement in Europe (SHARE)). One of the major drivers of this effort has been the lack of comparability of self-reported health status in international health surveys due to systematic biases in reporting, despite using similar instruments and attempts at making questions conceptually equivalent in translation. SAGE uses standard instruments developed over the last decade, a common design and training approach with explicit strategies for making data comparable to cover a wide range of issues that directly and indirectly impact health and well-being.

The survey methodology and research design has included a number of methods to address methods for detecting and correcting for systematic reporting biases in health interview surveys, including vignette methodologies, objective performance tests and biomarkers. A number of techniques have also been employed to improve data comparability, including using common definitions of concepts, common methods of data collection and translations, rigorous sample design and post hoc harmonization. The 2007-2010 SAGE Wave 1 data from six countries (China, Ghana, India, Mexico, Russia, and South Africa) is the follow-up survey project to the 2002-2004 WHO data, which constitutes Wave 0 of WHO's Study on Global Ageing and Adult Health (SAGE). A sample of these respondents from SAGE Wave 0 are included in this follow-up 2007-2010 SAGE Wave 1 in the six countries, with new respondents added to ensure a nationally representative sample.