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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 purpose of this study was to expand the research capacity for comparative effectiveness evaluations of patients with multiple chronic conditions. Researchers administered a generic Quality of Life (QOL) instrument, physical symptom assessment, patient health questionnaire, and a tobacco screen through audio computer-assisted self-interviews (ACASI) and linked the responses to their electronic medical records (EMR) data. Researchers also calculated two co-morbidity indices (Chronic Disease Score and Charlson Co-morbidity Index).

The Detroit Neighborhood Health Study (DNHS) is a prospective, representative longitudinal cohort study of predominantly African American adults living in Detroit, Michigan. The main purpose of the study was to determine the predictive effects of ecological stressors, such as income distribution and residential segregation, on the development of post-traumatic stress disorder (PTSD), substance use, and other psychological and behavioral outcomes. An additional purpose was to study the interrelationships between ecological stressors, exposure to potentially traumatic events (PTEs), PTSD, substance use, and immune function. The study team hypothesized that exposure to ecological stressors would influence the risk of PTE exposure, PTSD, substance use, other psychological outcomes, and the relationships between these factors.

The current collection includes data from all 5 waves of the study. Cohort participants were initially recruited in 2008 with a dual-frame probability design, using telephone numbers obtained from the U.S. Postal Service Delivery Sequence Files as well as a listed-assisted random-digit-dial frame. Individuals without listed landlines or telephones and individuals with only a cell phone listed were invited to participate through a postal mail effort. Participants completed a 40 minute, structured telephone interview annually between 2008-2012 to assess perceptions of participants' neighborhoods, mental and physical health status, social support, exposure to traumatic events, and alcohol and tobacco use. In addition, the study team completed a structured assessment of Detroit's 54 neighborhoods in order to describe the characteristics of respondents' neighborhoods. The assessment included information about the quality of housing exteriors; presence of graffiti, abandoned cars, alcohol and tobacco advertisements, and security warning signs; presence of vacant buildings; and street and traffic noise levels.

All survey participants were offered the opportunity to provide a blood specimen (venipuncture, blood spot, or saliva) for immune and inflammatory marker testing as well as genetic testing of DNA. Participants received an additional $25USD if they elected to give a sample. Informed consent was obtained at the beginning of each interview and again at specimen collection. However, these specimens are not included as part of this data collection.

For more information about the study, please visit the Detroit Neighborhood Health Study website.

Genotypic data from DNHS are available on the NIH database of Genotypes and Phenotypes (dbGaP).

Learning theory and previous human and animal research support the hypothesis that a longer period of varenicline treatment prior to the target quit date (TQD) will lead to greater reductions in smoking before quitting, and higher long-term cessation rates, compared to standard varenicline treatment.

Building on promising preliminary clinical data, this study tested these hypotheses with a full-scale randomized clinical trial (RCT). 320 treatment-seeking adults reporting smoking at least 5 cigarettes per day (CPD) were randomized to a standard run-in group (3 weeks of placebo, followed by the standard 1 week of pre-TQD varenicline) or an extended run-in group (4 weeks of pre-TQD varenicline). Both groups received brief individual cessation counseling and 11 weeks of post-TQD varenicline.

The primary outcome consisted of cotinine-verified (at end of treatment [EOT]) self-reported continuous abstinence from smoking (in CPD) during the last 4 weeks of treatment. Secondary outcomes included bioverified self-report of continuous abstinence at the 6-month follow-up and percentage of reduction in self-reported smoking rate during the pre-quit period (week 1 vs week 4). Supplemental measures included repeated assessments of craving, withdrawal, medication adherence, and adverse events.

The Future of Families and Child Wellbeing Study (FFCWS, formerly known as the Fragile Families and Child Wellbeing Study) follows a cohort of nearly 5,000 children born in large, U.S. cities between 1998 and 2000. The study oversampled births to unmarried couples; and, when weighted, the data are representative of births in large U.S. cities at the turn of the century. The FFCWS was originally designed to address four questions of great interest to researchers and policy makers:

1. What are the conditions and capabilities of unmarried parents, especially fathers?
2. What is the nature of the relationships between unmarried parents?
3. How do children born into these families fare?
4. How do policies and environmental conditions affect families and children?

The FFCWS consists of interviews with mothers, fathers, and/or primary caregivers at birth and again when children are ages 1, 3, 5, 9, 15, and 22. The parent interviews collected information on attitudes, relationships, parenting behavior, demographic characteristics, health (mental and physical), economic and employment status, neighborhood characteristics, and program participation. Beginning at age 9, children were interviewed directly (either during the home visit or on the telephone). The direct child interviews collected data on family relationships, home routines, schools, peers, and physical and mental health, as well as health behaviors.

A collaborative study of the FFCWS, the In-Home Longitudinal Study of Pre-School Aged Children (In-Home Study) collected data from a subset of the FFCWS Core respondents at the Year 3 and 5 follow-ups to ask how parental resources in the form of parental presence or absence, time, and money influence children under the age of 5. The In-Home Study collected information on a variety of domains of the child's environment, including: the physical environment (quality of housing, nutrition and food security, health care, adequacy of clothing and supervision) and parenting (parental discipline, parental attachment, and cognitive stimulation). In addition, the In-Home Study also collected information on several important child outcomes, including anthropometrics, child behaviors, and cognitive ability. This information was collected through interviews with the child's primary caregiver, and direct observation of the child's home environment and the child's interactions with his or her caregiver.

Similar activities were conducted during the Year 9 follow-up. At the Year 15 follow-up, a condensed set of home visit activities were conducted with a subsample of approximately 1,000 teens. Teens who participated in the In-Home Study were also invited to participate in a Sleep Study and were asked to wear an accelerometer on their non-dominant wrist for seven consecutive days to track their sleep (Sleep Actigraphy Data) and that day's behaviors and mood (Daily Sleep Actigraphy and Diary Survey Data).

An additional collaborative study collected data from the child care provider (Year 3) and teacher (Years 9 and 15) through mail-based surveys. Saliva samples were collected at Year 9 and 15 (Biomarker file and Polygenic Scores). The Study of Adolescent Neural Development (SAND) COVID Study began data collection in May 2020 following the onset of the COVID-19 pandemic. It included online surveys with the young adult and their primary caregiver.

The FFCWS began its seventh wave of data collection in October 2020, around the focal child's 22nd birthday. Data collection and interviews continued through January 2024. The Year 22 wave included a young adult (YA) survey with the original focal child and a primary caregiver (PCG) survey. Data were also collected on the children of the original focal child (referred to as Generation 3, or G3).

In 2017, the FFCWS team announced the Fragile Families (FF) Challenge, a collaborative effort in which participants were tasked with using machine learning methods and FFCWS data (Baseline to Year 9) to build a model that would predict six key outcomes at Year 15. Materials used in the FF Challenge have been archived in this collection.

Documentation for these files is available on the FFCWS website under Data and Documentation. For details of updates made to the FFCWS data files, please see the project's Data Alerts page.

Data collection for the Future of Families and Child Wellbeing Study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations.

Below is the citation for use of the FFCWS data accessed through ICPSR. For information on additional citation requirements when using FFCWS in publications, please refer to this FAQ on the FFCWS project site.

This collection has not been processed by NACDA or ICPSR, and data are released in the format provided by the principal investigators. Please report any data errors or problems to user support, and we will work with you to resolve any data-related issues.

Hawaii Aging with HIV Cardiovascular Study (HAHCS) enrolled HIV-infected volunteer adults age 40 and over, recruited from the state of Hawaii. A natural history longitudinal study, HAHCS followed a cohort of 150 HIV positive subjects for five years. The study is based on observations that, while HIV-infected individuals now live longer because of the availability of highly active antiretroviral therapy, these individuals may be at increased risk of cardiovascular (CV) morbidity and mortality. Rates of well-accepted traditional CV risk factors such as diabetes/hyperglycemia, body morphology changes and smoking are high in the HIV population. Furthermore, there is growing concern that HIV per se may also contribute to CV risk.

HAHCS evaluated the cross-sectional and longitudinal impact of oxidative stress and inflammation on the development of subclinical atherosclerosis. Researchers assessed subclinical atherosclerosis functionally by brachial artery flow mediated vasodilatation (FMD) and structurally by intima-media thickness (IMT) as well as coronary artery calcium score obtained by dual source CT. Data include behavioral health indicators, medical history information, and medical test results. Demographic data include age, sex, and race.

The study is comprised of interviews from 227 Hispanic males aged 45 or older living in the area of Houston, Texas to address the gaps in knowledge on the social factors and health consequences of injection heroin use among aging Mexican American males. Specifically, the study investigated how the life course transitions of incarceration and drug treatment and drug abuse and family trajectories affect both the heroin career status and health consequences of these aging Mexican American men.

The study used a cross-sectional, field-intensive outreach methodology augmented with respondent-driven sampling. Recruitment was focused in two Houston neighborhoods that are predominantly Mexican American areas with high rates of crime, poverty, and psychosocial challenges. Trained Outreach Specialists familiar with these communities identified community gatekeepers and gained their trust through continued presence in the community and ongoing dialogue about the study. These gatekeepers then helped identify individuals meeting the inclusion criteria: Mexican American men aged 45 years or older with a history of injection drug use for at least 3 years. The men were then classified into one of three groups: current injectors (current group), former injectors not in treatment (former group), or former injectors currently enrolled in methadone maintenance treatment programs (MMTP group).

The second part is a second survey asking questions about social networks the respondent participates in. Questions ask the respondent to answer on one individual in their network and answer questions about that person and their interaction with them. Questions include basic demographics, history injecting drugs and sexual contact with the person.

This data collection contains the first four waves of the Iowa Youth and Families Project (IYFP), conducted in 1989, 1990, 1991, and 1992. The Iowa Youth and Families Project was developed from an initial sample of 451 7th graders from two-parent families in rural Iowa. The study was merged with the Iowa Single Parent Project (ISPP) to form the Iowa Family Transitions Project in 1994, when the target youth were seniors in high school. Survey data were collected from the target child (7th grader), a sibling within four years of age of the target child, and both parents. Field interviewers visited families at their homes on several occasions to administer questionnaires and videotape interaction tasks including family discussion tasks, family problem-solving tasks, sibling interaction tasks, and marital interaction tasks.

The Household Data files contain information about the family's financial situation, involvement in farming, and demographic information about household members.

The Parent and the Child Survey Data files contain responses to survey questions about the quality and stability of family relationships, emotional, physical, and behavioral problems of individual family members, parent-child conflict, family problem-solving skills, social and financial support from outside the home, traumatic life experiences, alcohol, drug, and tobacco use, and opinions on topics such as abortion, parenting, and gender roles. In addition, the Child Survey Data files include responses collected from the target child and his or her sibling in the study about experiences with puberty, dating, sexual activity, and risk-taking behavior.

The Problem-Solving Data files contain survey data collected from respondents about the family interactions tasks.

The Observational Data files contain the interviewers' observations collected during these tasks.

Demographic variables include sex, age, employment status, occupation, income, home ownership, religious preference, frequency of religious attendance, as well as the ages and sex of all household members and their relationship to the head of household. Demographic information collected on the parents also includes their birth order within their family, the ages and political philosophy of their parents, the sex, age, education level, and occupation of their siblings, and the country of origin of their ancestors.

The Johns Hopkins University Prevention Research center - Risks for Transitions, Baltimore city, 2008-2011 study (JHU PRC Risks for Transition in Drug Use among Urban Adults) represents data collected for a 25 years follow-up from the original JHU PRC study. At the start of the data collection, a cohort of 2,311 youth were randomly assigned to two classroom-based universal preventive interventions implemented in 43 classrooms of 19 public schools located in 5 socio-demographically distinct areas in Eastern Baltimore. This collection includes data from 1,434 respondents from the original cohort collected in 2008-2012. The mean age of the respondents was 30-32 years old.

Psychopathology (major depressive episode, phobia and anxiety disorders) was assessed using modules from the Composite International Diagnostic Interview-University of Michigan Version, CIDI- UM (WHO, 1997). An antisocial symptom scale adapted from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC) was administered which consisted of 30 questions that assessed behaviors experienced since turning 18 years of age. The alcohol, tobacco and drug modules of the interview were modeled after NESARC Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV. Types of information in these modules collected include age of onset, use in past year and prior past year, frequency and recency of use, and DSM-IV abuse and dependence criteria. Socioeconomic status indicators, variables on education, employment, marital status, parenthood, social supports, family history of mental health and drug problems, general health, treatment utilization, and life events are included in this dataset.

This dataset includes 3,140 variables.

This study is part of the Seek, Test, Treat and Retain (STTR) Collaboration Project that involved over twenty studies in the fields of HIV and drug abuse. All studies were independently developed, but were chosen for the collaboration because they focused on one or more steps of the HIV treatment cascade: Seek, Test, Treat and Retain. As part of STTR Collaboration Project, the studies were grouped into Criminal Justice-related studies and Vulnerable Population-related studies. The data collected by these studies included twelve common domains (e.g., Demographic characteristics, Mental Health) in each of which a shared questionnaire or instrument was taken up by the studies and adapted to fit the study.

Linking Infectious and Narcology Care (LINC) involved coordination between the narcology and HIV systems of care utilizing HIV strengths-based case management delivered via five one-on-one sessions by a peer case manager (i.e., HIV-infected men and women in recovery from addiction) to help motivate and reduce barriers to HIV care. The initial session was designed to be delivered in the narcology hospital and included provision of CD4 test results by the case manager (CM) in a timely fashion, to increase engagement in HIV medical care. Subsequent sessions were conducted upon discharge from the narcology hospital over a 6-month period in community (e.g., parks, coffee shops) or clinic locations, agreed upon by the case manager and participant.

The LINC intervention was developed via adaptation of the Antiretroviral Treatment Access Study (ARTAS) intervention for use in the Russian setting and specifically with people who inject drugs (PWID).

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.

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.

The Biomarker study is Project 4 of the Midlife in the United States (MIDUS) longitudinal study, a national survey of more than 7,000 Americans (aged 25 to 74) begun in 1994. The purpose of the larger study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. With support from the National Institute on Aging (NIA), a longitudinal follow-up of the original MIDUS samples [core sample (N = 3,487), metropolitan over-samples (N = 757), twins (N = 957 pairs), and siblings (N = 950)] was conducted in 2004-2006. Guiding hypotheses, at the most general level, were that behavioral and psychosocial factors are consequential for health (physical and mental). A description of the study and findings from it are available on the MIDUS website.

The Biomarker Project (Project 4) of MIDUS 2 contains data from 1,255 respondents. These respondents include two distinct subsamples, all of whom completed the Project 1 Survey: (1) longitudinal survey sample (n = 1,054) and (2) Milwaukee sample (n = 201). The Milwaukee group contained individuals who participated in the baseline MIDUS Milwaukee study, initiated in 2005. The purpose of the Biomarker Project (Project 4) was to add comprehensive biological assessments on a subsample of MIDUS respondents, thus facilitating analyses that integrate behavioral and psychosocial factors with biology. The broad aim is to identify biopsychosocial pathways that contribute to diverse health outcomes. A further theme is to investigate protective roles that behavioral and psychosocial factors have in delaying morbidity and mortality, or in fostering resilience and recovery from health challenges once they occur. The research was not disease-specific, given that psychosocial factors have relevance across multiple health endpoints.

Biomarker data collection was carried out at three General Clinical Research Centers (at UCLA, University of Wisconsin, and Georgetown University). The biomarkers reflect functioning of the hypothalamic-pituitary-adrenal axis, the autonomic nervous system, the immune system, cardiovascular system, musculoskeletal system, antioxidants, and metabolic processes. Our specimens (fasting blood draw, 12-hour urine, saliva) allow for assessment of multiple indicators within these major systems. The protocol also included assessments by clinicians or trained staff, including vital signs, morphology, functional capacities, bone densitometry, medication usage, and a physical exam. Project staff obtained indicators of heart-rate variability, beat to beat blood pressure, respiration, and salivary cortisol assessments during an experimental protocol that included both a cognitive and orthostatic challenge. Finally, to augment the self-reported data collected in Project 1, participants completed a medical history, self-administered questionnaire, and self-reported sleep assessments. For respondents at one site (UW-Madison), objective sleep assessments were also obtained with an Actiwatch(R) activity monitor.

In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74 [ICPSR 2760]. The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. The study was innovative for its broad scientific scope, its diverse samples (which included siblings of the main sample respondents and a national sample of twin pairs), and its creative use of in-depth assessments in key areas (e.g. daily diary of stressful experiences [ICPSR 3725] and cognitive functioning [ICPSR 3596]) on a subset of participants. A detailed description of the study and findings generated by it are available at: http://www.midus.wisc.edu

With support from the National Institute on Aging, a follow-up of the original Midlife Development in the United States (MIDUS) sample was conducted in 2004 (MIDUS 2 [ICPSR 4652]). The daily stress and cognitive functioning projects were repeated and expanded at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience.

In 2013 a third wave (MIDUS 3) of survey data was collected on longitudinal participants. Data collection for this follow-up wave largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas such as economic recession experiences. Cognitive functioning data were also collected at the same time, while data collection for the daily diary, biomarker, and neuroscience projects commenced in 2017.

MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required.

The MIDUS Refresher study Survey (2011-2014 ICPSR 36532) recruited a national probability sample of 3,577 adults, aged 25 to 74, designed to replenish the original MIDUS 1 baseline cohort and paralleling the five decadal age groups of the MIDUS 1 baseline survey (ICPSR 2760). The MIDUS Refresher survey employed the same comprehensive assessments as those assembled on the core longitudinal MIDUS sample, but with additional questions about impacts of the economic recession of 2008-09. The MIDUS Refresher Biomarker study (2012-2016) obtained data from 863 respondents (n=746 Main sample, n=117 African Americans from Milwaukee) who completed the MIDUS Refresher Survey.

The purpose of the Refresher Biomarker Project (Project 4) parallels that of the MIDUS 2 Biomarker project (ICPSR 29282), which collected comprehensive biological assessments on a subsample of MIDUS respondents, thus facilitating analyses that integrate behavioral and psychosocial factors with biological regulation/dysregulation, broadly defined. The aim was to use such data to explicate biopsychosocial pathways that contributed to diverse health outcomes. A further theme was to examine period effects on health (mental and physical) related to the economic recession by comparing the pre-recession MIDUS sample with the post-recession MIDUS Refresher sample. A further objective of the MIDUS Refresher sample was to strengthen cross-project analyses by increasing the sample sizes available for testing hypotheses regarding the interplay of key factors (e.g., socioeconomic status, gender, psychosocial factors, biological factors) in mid- and later-life health.

Biomarker data collection was carried out at hypothalamic-pituitary-adrenal axis, the autonomic nervous system, the immune system, cardiovascular system, musculoskeletal system, antioxidants, and three General Clinical Research Centers (at UCLA, University of Wisconsin, and Georgetown University). The biomarkers reflect functioning of the metabolic processes. Our specimens (fasting blood draw, 12-hour urine, saliva) allowed for assessment of multiple indicators within these major systems. The protocol also included assessments by clinicians or trained staff, including vital signs, morphology, functional capacities including 3 dimensional gait analysis, bone densitometry, body composition, ankle brachial index, medication usage, and a physical exam. Project staff obtained indicators of heart-rate variability, beat to beat blood pressure, respiration, and salivary cortisol assessments during an experimental protocol that included both a cognitive and orthostatic challenge. Finally, to augment the self-reported data collected in Survey (Project 1), participants completed a medical history, self-administered questionnaire, and self-reported sleep assessments. For respondents at one site (UW-Madison), objective sleep assessments were also obtained with an Actiwatch(R) activity monitor.

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download.

The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships.

Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents.

Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer.

From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study.

Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full pregnancy and fertility histories from both men and women, an educational history of dates of degrees and school attendance, contact with the criminal justice system, military service, and various employment events, including the date of first and current jobs, with respective information on occupation, industry, wages, hours, and benefits. Finally, physical measurements and biospecimens were also collected at Wave IV, and included anthropometric measures of weight, height and waist circumference, cardiovascular measures such as systolic blood pressure, diastolic blood pressure, and pulse, metabolic measures from dried blood spots assayed for lipids, glucose, and glycosylated hemoglobin (HbA1c), measures of inflammation and immune function, including High sensitivity C-reactive protein (hsCRP) and Epstein-Barr virus (EBV).

Wave V data collection took place from 2016 to 2018, when the original Wave I respondents were 33 to 43 years old. For the first time, a mixed mode survey design was used. In addition, several experiments were embedded in early phases of the data collection to test response to various treatments. A similar range of data was collected on social, environmental, economic, behavioral, and health circumstances of respondents, with the addition of retrospective child health and socio-economic status questions. Physical measurements and biospecimens were again collected at Wave V, and included most of the same measures as at Wave IV.

The overall goal of Wave VI was to better understand life course trajectories, determinants, and consequences of critical dimensions of aging, health, and health disparities among U.S. early midlife adults. Data collection took place from 2022 to 2025, with participants between the ages of 39 and 51, with an average age of 44. Beyond longitudinal survey measures, newly added questions included those on cumulative stress, discrimination, despair, work-life balance, memory, physical limitations, and caregiving. Continuing from previous waves, home exams collected physical measurements and biospecimens with most of the same measures as Wave V.

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 to 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, 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.

The NLSY97 standalone data files are intended to be used by crime researchers for analyses without requiring supplementation from the main NLSY97 data set. The data contain age-based calendar year variables on arrests and incarcerations, self-reported criminal activity, substance use, demographic variables and relevant variables from other domains which are created using the NLSY97 data. The main NLSY97 data are available for public use and can be accessed online at the NLS Investigator Web site and at the NACJD Web site (as ICPSR 3959). Questionnaires, user guides and other documentation are available at the same links. The National Longitudinal Survey of Youth 1997 (NLSY97) was designed by the United States Department of Labor, comprising the National Longitudinal Survey (NLS) Series. Created to be representative of United States residents in 1997 who were born between the years of 1980 and 1984, the NLSY97 documents the transition from school to work experienced by today's youths through data collection from 1997. The majority of the oldest cohort members (age 16 as of December 31, 1996) were still in school during the first survey round and the youngest respondents (age 12) had not yet entered the labor market.

The Pathways to Desistance study was a multi-site study that followed 1,354 serious juvenile offenders from adolescence to young adulthood in two locales between the years 2000 and 2010. Enrolled into the study were adjudicated youths from the juvenile and adult court systems in Maricopa County (Phoenix), Arizona (N=654) and Philadelphia County, Pennsylvania (N=700).

This study looks at interviews conducted with the collateral informants who participated in the study. The collateral informants were nominated by the main study participant and represented individuals who "knew the study participant well". At the interview baseline the collateral informant was usually a biological parent. During the three follow-up interviews the majority of collaterals were a friend. Collateral informants could also be a sibling, significant other, or relative. Collaterals were asked questions in regards to the main study participant's life, allowing for comparison between responses provided by two sources. A baseline interview was conducted with the collateral after the baseline interview took place with the main participant. Additional waves of follow-up with collaterals took place at 12, 24, and 36 months. A collateral report is not present for all of the main study participant interviews across waves (see response rate below).

The current Collateral Measures study primarily consists of the calculated scores from constructs asked about during the interview, but the individual scale items were withheld at that time. These additional datasets contain those individual items plus the calculated scores. These variables are typically consistent across the waves that the scale was asked about during the course of the entire project. Most of the files contain variables from all four waves of data collection. The table in the front of the User Guide will list which waves are present in each data file.

The Pathways to Desistance study was a multi-site study that followed 1,354 serious juvenile offenders from adolescence to young adulthood in two locales between the years 2000 and 2010. Enrolled into the study were adjudicated youths from the juvenile and adult court systems in Maricopa County (Phoenix), Arizona (N=654) and Philadelphia County, Pennsylvania (N=700).

The Release data portion of the Pathways study contains information from 1,130 interviews ("release interviews") reflecting the youths' perceptions regarding various aspects of the residential experience and institutional environment (e.g., accounts of program operations and services provided, ratings regarding the participant's feelings of his or her safety in the facility). The release interview was conducted within 30 days prior to or after release from a facility and in a separate session apart from the time point interview. This was done to minimize the burden on the research participant and to ensure adequate attention to institutional ratings. The restricted time period within which to conduct the release interview reduced the likelihood that intervening events and experiences would skew the participant's recall of the stay.

Study participants could contribute more than one release interview, depending upon the number of institutional placements he/she had over the seven-year follow-up period. The current release data reflects ratings from 686 unique individuals. It should be recognized that not every institutional stay for every youth produced a release interview. On the basis of the number of reported institutional stays in the sample, it is estimated that a release interview was obtained for approximately 54 percent of the total number of residential stays experienced by study participants. Release interviews were missed if the research interviewer was not aware of the institutional stay (e.g. it occurred between time point interviews) or if the interviewer only became aware of the institutional stay at a point that was too late to schedule a release interview within the required window surrounding the release date.

The 686 individuals reflected in the release data represent 51 percent of the Pathway study participants (n=1,354) and 56 percent of Pathways participants who had a least one institutional stay (n=1,234; 120 Pathways youths had no institutional stays). On average, these 686 youths had 1.6 interviews. The number of interviews per unique person ranges from one to eight.

The current Release Measures study primarily consists of the calculated scores from constructs asked about during the interviews, but the individual scale items were withheld at that time. This study contains those individual items plus the calculated scores.

The Pathways to Desistance study was a multi-site study that followed 1,354 serious juvenile offenders from adolescence to young adulthood in two locales between the years 2000 and 2010. Enrolled into the study were adjudicated youths from the juvenile and adult court systems in Maricopa County (Phoenix), Arizona (N=654) and Philadelphia County, Pennsylvania (N=700).

Respondents were enrolled and baseline interviews conducted from November 2000 to January 2003. Follow-up interviews were then scheduled with the respondents at 6, 12, 18, 24, 30, 36, 48, 60, 72 and 84 months past their baseline interview.

The enrolled youth were at least 14 years old and under 18 years old at the time of their committing offense and were found guilty of a serious offense (predominantly felonies, with a few exceptions for some misdemeanor property offenses, sexual assault, or weapons offenses).

Each wave of data collection covered six domains: (1) background characteristics (e.g., demographics, academic achievement, psychiatric diagnoses, offense history, neurological functioning, psychopathy, personality), (2) indicators of individual functioning (e.g., work and school status and performance, substance abuse, mental disorder, antisocial behavior), (3) psychosocial development and attitudes (e.g., impulse control, susceptibility to peer influence, perceptions of opportunity, perceptions of procedural justice, moral disengagement), (4) family context (e.g., household composition, quality of family relationships), (5) personal relationships (e.g., quality of romantic relationships and friendships, peer delinquency, contacts with caring adults), and (6) community context (e.g., neighborhood conditions, personal capital, and community involvement). Information about the measures used to capture this information can be found on the Pathways to Desistance website.

The current Subject Measures study primarily consists of the calculated scores from constructs asked about during the interview, but the individual scale items were withheld at that time. These variables are typically consistent across the waves that the scale was asked about during the course of the entire study. Most of the files contain variables from all 11 waves of data collection. The table in the front of the User Guide will list which waves are present in each data file.