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These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study examined etiological pathways to teen dating violence (TDV) in a sample of adolescents who had been followed since infancy and were at high-risk due to parental alcohol problems. Adolescents (M=17.68 years of age) who had been participating, along with their parents, in a longitudinal study of the effects of parental alcohol problems on child development completed an additional wave of survey data in 11-12th grades. Families (N=227) were initially recruited from county birth records when the child was 12 months of age and had been previously assessed at 12-, 18-, 24-, 36-months, kindergarten, 4th, 6th, and 8th grades. For the current wave of data collection, adolescent participants (n=185) used computer-assisted interviewing to complete questionnaires assessing their individual characteristics, family and peer relationships, substance use, dating behaviors and involvement in TDV as a victim or perpetrator.

The Drug Use and Cultural Factors Among Hispanic Adolescents and Emerging Adults - Los Angeles, 2006-2016 collection examines the cultural risk and protective factors for substance use among Hispanic adolescents and emerging adults in Southern California. Adolescents were recruited in 9th grade and completed annual surveys about their substance use, acculturation, ethnic identity, cultural stressors, peer and family relationships, and cultural values. They were re-contacted to complete surveys in their early 20s; this survey also included measures of sexual behavior and interpersonal violence.

Demographic variables present in this collection include age, gender, grade in school, ethnicity, country of origin, education level, language spoken, socioeconomic status, marital status, sexual orientation, ZIP code, and place of residence.

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 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.

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 314 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 531 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 483 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 sexual behavior, threat of retaliation, brief symptom inventory/suicide risk, 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, sexual risk behaviors, 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.

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.

This project examined the role of technology use in teen dating violence and abuse, and bullying. The goal of the project was to expand knowledge about the types of abuse experiences youth have, the extent of victimization and perpetration via technology and new media (e.g., social networking sites, texting on cellular phones), and how the experience of such cyber abuse within teen dating relationships or through bullying relates to other life factors.

This project carried out a multi-state study of teen dating violence and abuse, and bullying, the main component of which included a survey of youth from ten schools in five school districts in New Jersey, New York, and Pennsylvania, gathering information from 5,647 youth about their experiences. The study employed a cross-sectional, survey research design, collecting data via a paper-pencil survey. The survey targeted all youth who attended school on a single day and achieved an 84 percent response rate.