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The data files from this project are not available through NAHDAP/ICPSR. For information about accessing the data from this project, please contact the Principal Investigator.

Feedback from Tribal communities were gathered about a future Tribally specific near real-time opioid overdose monitoring dashboard. A questionnaire about an example dashboard with questions about overdose information, Narcan usage, and feedback about the dashboard's uses were included.

The National Institute on Drug Abuse (NIDA) funded RADAR in 2014 to collect multilevel, longitudinal data and biospecimens from an ethnically and racially diverse cohort of young, sexual and gender minorities (SGM; e.g., men who have sex with men (MSM), transgender women, gender non-conforming individuals) who were assigned male at birth (AMAB) (current core cohort n=1,113). The primary objective of this study is to apply a multilevel perspective to a syndemic of health issues associated with human immunodeficiency virus (HIV) in this population. The multilevel design focuses on individual, dyadic (i.e., sexual and romantic relationships), network (i.e., social, drug, and sexual connections) and biologic factors that may be associated with HIV. The cohort contains both HIV-negative and HIV-positive individuals, which allows for the development of a repository of biospecimens and HIV sequence data from both pre-infection and post-infection visits that will help facilitate future projects evaluating substance use, HIV risk, and pathogenesis.

A multiple cohort, accelerated longitudinal design was utilized by initially enrolling two existing SGM cohorts and then expanded through the use of convenience and snowball sampling methods. Enrollment criteria varied slightly based on the recruitment method, but overall inclusion criteria required participants to be AMAB, between 16 and 29 years of age, report having had sex with a man in the prior year or identify as a SGM, live in the Chicago metropolitan area, and be an English speaker. Study recruitment opened in February 2015. Participants are followed through the developmental period of late adolescence to early adulthood, which is a critical period of initiation and acceleration of sexual behavior and substance use. Study visits occur every six months.

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.

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. Detailed NSDUH 2008 documentation is available from SAMHSA. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2008 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. For this 2008 survey, Adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. A split-sample design also was included to administer separate sets of questions to assess impairment due to mental health problems. Background information includes gender, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

The specific research aims were as follows:

• Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

• Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

• Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

• Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

• Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

• Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

• Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

309 data files were compiled for this study and are organized into 3 main groups:

1. Analytical Data Sets (ADS) -- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables, along with site differences, were examined. A set of variables that were psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-42 of the study data material.

2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as a supplement to the original Analytical Datasets. These data files comprise Parts 43-55 of the study data material.

3. Raw Data Sets -- The raw data were made available and comprise Parts 56-309 of the study data material.

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

The Seek, Test, Treat and Retain (STTR) Collaboration Project involved over twenty studies in the fields of HIV and drug abuse. These 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. These 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. This repository contains the collected data and documentation from the STTR collaboration.

This study in particular, assesses outcomes of Oral Naltrexone on HIV Treatment among HIV-1 infected men in Lima, Peru. A randomized blinded placebo-controlled clinical trial was conducted to determine if oral naltrexone (NTX) would improve the likelihood that HIV-infected participants with alcohol use disorders (AUDs) remain engaged in care and become highly adherent to antiretroviral therapy (ART), with acceptable safety.

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.

Connect4Care (C4C) was a single site, randomized year-long study of Short Message Service (SMS) primary care appointment reminders vs. SMS primary care appointment reminders plus thrice-weekly supportive, informational, and motivational SMS messages. Eligible consenting patients were allocated 1:1 to the two arms within strata defined by HIV diagnosis within the past 12 months (i.e. "newly diagnosed") vs. earlier.

This project was an investigation into the natural course of service needs, use, and trajectories among high-risk youth and young adults with drug use who presented to an inner-city Emergency Department with multiple risk behaviors (with and without acute violent injury). Eligible participants included youth/young adults (ages 14-24) who sought care at the Hurley Medical Center (HMC) Emergency Department (ED) located in Flint, Michigan between December 19, 2009 and September 7, 2011. Consenting youth completed a self-administered computerized screening survey. All participants who self-reported past year drug use were recruited for the longitudinal study. For a comparison group, a randomly selected sample of drug using youth seeking ED care for other reasons (e.g. abdominal pain, motor vehicle crash) were selected for longitudinal study (equilibrated monthly proportionally for age/gender with the acute violent injury group). Participants in the violent injury and comparison group completed a baseline assessment during their ED visit.

Dataset 1 (DS1) contains the Baseline Screener Data of both young adults and youth. This data file has 1,448 cases and 253 variables. Each case represents an individual seeking treatment in the emergency department.

Dataset 2 (DS2) contains the Baseline Youth Data. This data file has 89 cases and 363 variables. Of these 89 cases, 51 of the youths (ages 14-17) presented to the Emergency Department with a violent injury. The remaining 38 respondents reported to the Emergency Department for non-violent injury and are part of the comparison group.

Dataset 3 (DS3) contains the Baseline Young Adult Data. This file contains 511 cases and 380 variables. Of these 511 cases, 299 of the young adults (ages 18-24) presented to the Emergency Department with a violent injury. The remaining 212 respondents reported to the Emergency Department for non-violent injury and are part of the comparison group.

The Baseline Screener Data includes demographics and information about public assistance, income, work, marital status, insurance, the injury visit, school/grades, retaliation attitudes, fights, violence, gang affiliation, weapons, partner violence, nicotine use, alcohol use, drug use, HIV risk-taking behaviors, needle use, sexual behavior, STD/HIV, past adolescent injuries, age on onset of drug use, and current conflict and aggression.

The Baseline Youth and Young Adult Data include brief sexual behavior, threat of retaliation, brief symptom inventory, drug and alcohol refusal efficacy, drinking and driving (DUI), community involvement, peer influences, non-partner aggression, parental support, parent influence on drug and alcohol use, family conflict, mentors, fight self-efficacy, community violence, medical care, alcohol dependence/abuse, drug dependence/abuse, substance abuse service utilization, post traumatic stress disorder (PTSD), conduct disorder (youth) or antisocial personality disorder (young adult), legal system involvement, major depressive episodes, and mental health service utilization.