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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.

Using a randomized controlled study design, this study tested the efficacy of an abstinence-reinforcing CM intervention compared with a control condition (performance feedback) on HIV viral load (VL) suppression. The intervention CM group could receive up to $1320 in vouchers over the 16-week intervention based on drug-free urine. Participants were followed for 28 weeks (44 visits), with research visits occurring twice weekly during the Baseline Period (weeks 1-4, visits 1-8) and Intervention Period (weeks 5-20, visits 9-40), then every two weeks during the Post-Intervention Period (weeks 21-28, visits 41-44).

Substance dependence (SD) is a chronic disease that requires specialty drug and alcohol treatment, primary care (PC), and management of related problems. Although patients with SD may be linked with specialty care and PC, their health care often remains episodic and fragmented, rather than longitudinal, comprehensive, integrated, and coordinated. As a result, adults with SD often enter addiction treatment later and require acute medical care, rather than entering the system earlier when interventions of lower intensity but longer duration might prevent catastrophes. Chronic disease management (CDM) is a collaborative, longitudinal approach to treatment of certain chronic medical illnesses proven to be more effective than routine care. CDM addresses individual patient and health systems barriers to receipt of needed treatment. However, the effectiveness of CDM for SD has not been tested. The objective of this Addiction Health Evaluation and Disease management (AHEAD) study, was to test the effectiveness of CDM for SD in PC.

Subject identification and recruitment occurred primarily at a local detoxification center, as well as by self and physician referral from the Boston Medical Center primary and ambulatory care clinics, emergency department, urgent care center, inpatient settings, and the community. The study enrolled 320 adults with drug dependence and 320 adults with alcohol dependence who were not in SD treatment, and randomized them to a SD CDM program (the AHEAD Clinic) integrated into a real-world PC clinic or to referral to standard PC. All subjects were assessed regarding SD diagnosis, substance use and problems, readiness to change, health-related quality of life, and medical and drug treatment utilization. Subjects were evaluated 3, 6, and 12 months later, and health services utilization data were collected for 2 years from a statewide database. Additionally, in order to better understand and explain the implementation and fidelity of the AHEAD Clinic, the primary care providers (PCPs) of AHEAD Clinic patients were surveyed. Each PCP was presented with a letter from the Principal Investigator explaining the purpose of the survey, the reason why s/he was being asked to complete the survey, compensation for completing the survey, and details about confidentiality and anonymity. The survey itself consisted of questions asking providers about their satisfaction and their attitudes towards caring for patients with alcohol and drug problems, their knowledge of services that the AHEAD Clinic provides, and their experience working with the AHEAD Clinic.

Primary outcomes were illicit drug use, alcohol use, substance-related problems, emergency department visits, and hospitalizations. The proposal's hypothesis was that compared with standard care, a health services delivery intervention (CDM for SD integrated in PC) would decrease alcohol and illicit drug use and related problems, and improve health care utilization patterns. Improved outcomes using the AHEAD approach would support the adoption of a health services delivery strategy, CDM, to better care for patients with SD.

• Dataset 1: 844 variables; 563 cases
• Dataset 2: 607 variables; 500 cases
• Dataset 3: 607 variables; 487 cases
• Dataset 4: 713 variables; 532 cases
• Dataset 5: 80 variables; 549 cases
• Dataset 6: 59 variables; 1,435 cases
• Dataset 7: 25 variables; 87 cases
• Dataset 8: 25 variables; 87 cases
• Dataset 9: 41 variables; 73 cases
• Dataset 10: 9 variables; 11,018 cases
• Dataset 11: 5 variables; 511 cases

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).

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.

In the fall of 1993, the entering 1st graders in nine Baltimore City, Maryland public elementary schools were recruited for participation in a randomized trial of two universal, preventive interventions. Both interventions targeted the early antecedent risk behaviors of poor academic achievement and aggressive/coercive behavior and their distal correlates: substance abuse/dependence, antisocial behavior, high risk sexual behavior, sexually transmitted infections (STIs), and psychiatric symptoms and disorders. One intervention, the classroom-centered intervention (CC), sought to reduce the early risk behaviors of poor achievement and aggressive/coercive behaviors through the enhancement of classroom curricula and teacher instructional and behavior management practices. The second intervention, the family-school partnership intervention (FSP), sought to reduce these early risk behaviors by improving parent-teacher/school mental health professional collaboration and by enhancing parents' teaching and behavior management skills. The participating students and 1st grade teachers were randomly assigned to either the CC or FSP classroom-level conditions or to a control or standard setting classroom. The participating students' outcomes were assessed from the fall of 1st grade through 12th grade. Annual outcome assessments continued following high school through age ~ 26. Data from participating students' self-report of substance use and its putative mediators and moderators in 8th through 12th grade are available in this dataset.

The principal investigator withheld the intervention status variable that distinguishes the intervention groups from the control group. You may contact the Principal investigator to discuss obtaining the intervention variable.

This dataset contains variables on frequency of respondents' substance use during the respondents' lifetime as well as in the year, month, week prior to the survey. In addition, the dataset contains variables on alcohol consumption. The dataset also contains variables on the respondents' perceptions of the availability and harmfulness of substances. Respondents were also asked about perception of how many of his/her friends used drugs as well as their attitudes towards drug use, including personal disapproval of drug use, and perceived attitudes of parents and friends towards the respondents' drug use. Respondents were asked whether and how often they were offered substances to use and their intention to use substances if offered in the future. Substances asked about include tobacco, alcohol, marijuana, cocaine, crack, heroin, ecstasy, and inhalants.

This dataset contains 1535 variables and 713 respondents. The only demographic variables in this dataset are race and gender.

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.

Teenage adolescent females residing in Baltimore, Maryland who were involved in a relationship with a history of violence were sought after to participate in this research study. Respondents were interviewed and then followed through daily diary entries for several months. The aim of the research was to understand the context regarding teen dating violence (TDV). Prior research on relationship context has not focused on minority populations; therefore, the focus of this project was urban, predominantly African American females.

The available data in this collection includes three SAS (.sas7bdat) files and a single SAS formats file that contains variable and value label information for all three data files. The three data files are:

• final_baseline.sas7bdat (157 cases / 252 variables)
• final_partnergrid.sas7bdat (156 cases / 76 variables)
• hart_final_sas7bdata (7004 cases / 23 variables)

In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of 7,108 Americans aged 25 to 74 (MIDLIFE IN THE UNITED STATES (MIDUS), 1995-1996 [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 twins and the siblings of main sample respondents), and its creative use of in-depth assessments in key areas (e.g., daily stress and cognitive functioning). A description of the study and findings from it are available at http://www.midus.wisc.edu. With support from the National Institute on Aging, a longitudinal follow-up of the original MIDUS samples: core sample (N = 3,487), metropolitan over-samples (N = 757), twins (N = 925 complete pairs), and siblings (N = 950), was conducted in 2004-2006. Guiding hypotheses for it, at the most general level, were that behavioral and psychosocial factors are consequential for physical and mental health. MIDUS 2 respondents were aged 35 to 86. Data collection largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas (e.g., cognitive functioning, optimism and coping, stressful life events, and caregiving). To add refinements to MIDUS 2, an African American sample (N = 592) was recruited from Milwaukee, Wisconsin, who participated in a personal interview and completed a questionnaire paralleling the above assessments. Survey data for the Milwaukee sample are available in a separate project [ICPSR 22840]. Also administered was a modified form of the mail questionnaire, via telephone, to respondents who did not complete a self-administered questionnaire.

This collection contains data from the Multi-site Family Study on Incarceration, Parenting and Partnering [MSF-IP]. The MSF-IP is an evaluation of a grant program funded by the Office of Family Assistance (OFA) within the U.S. Department of Health and Human Services (HHS), Administration for Children and Families (ACF) to promote or sustain healthy relationships and to strengthen families in which a father was incarcerated or otherwise involved with the criminal justice system (e.g., recently released or on parole or probation). From 2006-2011, grantees were required to serve justice-involved fathers and their committed partners with services to promote healthy marriage; they were also permitted to provide activities to support parenting and foster economic stability.

The MFS-IP evaluation was funded to document program implementation and the impact of programming on outcomes such as relationship quality and stability, parenting and co-parenting, family financial well-being, and recidivism. This collection includes data from the impact study, conducted across five grantees: the Indiana Department of Correction, the RIDGE Project (Ohio), the New Jersey Department of Corrections, the Osborne Association (New York), and the Minnesota Council on Crime and Justice. The collection includes de-identified interview data for 1,991 men and 1,482 intimate and co-parenting partners.

The interviews took place from December 2008 through August 2014. Couples were first interviewed during the male partner's incarceration (with the timing of baseline interviews not related to the man's admission or release date in most sites) and then interviewed again nine and 18 months after baseline. In the two largest sites (Indiana and Ohio), an additional 34-month follow-up interview was conducted. The interviews were similar in content at each interview wave and for the male and female interviews, but differed based on male partner's trajectory of incarceration and release over the follow-up period.

Topics within this collection include demographics, personal characteristics and attitudes, criminal history and behavior, incarceration experiences (including family contact during incarceration), program and service receipt, expectations for release, family structure and functioning, intimate relationship quality, parenting and co-parenting quality, child well-being, employment, housing, substance use, and experiences with reentry.

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.

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.

This study is divided into BCAP1/2 and BCU (or BCAP3):

BCAP1/2

• Compares Respondent-driven sampling (RDS)and Venue-based sampling (VBS) recruitment in terms of numbers of new diagnosis of HIV+ and examines the effectiveness of peer-driven intervention (PDI) in heterosexuals at high risk (HHR). BCAP2 only includes those who tested HIV+ in BCAP1 who were included in recruitment but not in the main analyses. PDI involving structured intervention sessions including a computerized "CARE for Prevention" tool and HIV pre-test and post-test counseling, the opportunity to educate three peers on core education messages, and navigation for those HIV infected. If HIV-negative: total 3.5 hours of facilitated/computer intervention activities, plus peer education experiences; if HIV-positive: 5 hrs facilitated/computer activities, plus peer education experiences and six months of navigation.

BCU (or BCAP3)

• BCU is a supplement study to BCAP1/2 and tests an anonymous, single-session HIV testing intervention (ASTN) in the same high-risk area (HRA) in Brooklyn as BCAP1/2 and compare to CTTN in two phases: the Seek and Test phase (N=750), and Treat and Retain phase (N=65). The primary endpoint of the Seek and Test intervention phase is the relative yield (proportion of newly identified HIV infections) of the RDS-ASTN intervention. The study assesses the proportion of those newly diagnosed that engages in activities of the Treat and Retain part (i.e., feasibility). The primary endpoints for the Treat and Retain intervention phase are the proportion linked to care within three months (i.e., attending a care appointment and receiving CD4 and viral load tests) and time to the HIV care appointment.1 BCU2 only includes those who tested positive in BCU1 who were included in ST counseling sessions and blood collection but not included in TrR phase.

This feasibility study tested the logistics and acceptance of the intervention and its evaluation tools against "usual care" conditions in preparation for a future randomized controlled trial. Specific aims included:

1. Demonstrating that recruitment and delivery of the intervention are feasible.
2. Demonstrating that enrolled releasees will link to HIV care by 3 months post release. A successful linkage to HIV medical care was defined as a confirmed visit to a clinic post release, validated by a recorded HIV viral load and CD4 count in the clinic's medical records.
3. Documenting retention in care, defined as a minimum of 2 HIV clinical visits occurring within 12 months post release, with at least 2 clinical visits spaced a minimum of 3 months apart. Related retention outcome measures included proportion with viral load suppression and, as needed, attendance at substance abuse rehabilitation, and mental health treatment.

Data was collected at baseline, and at 3 and 12 months post-release. The 1st and 2nd sessions occurred in jail and 4 post-release sessions in the community.

The Population Assessment of Tobacco and Health (PATH) Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study was launched in 2011 to inform the FDA's tobacco regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). For Wave 1 (baseline), the PATH Study sampled over 150,000 mailing addresses across the United States to create a national sample of people who use or do not use tobacco, yielding interviews with 45,971 adult and youth respondents.

45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent.

At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled PSUs and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the civilian, noninstitutionalized population at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.

At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This second replenishment sample was combined for estimation and analysis purposes with Wave 7 adult and youth respondents from the Wave 4 Cohort who were at least age 15 and in the civilian, noninstitutionalized population at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort

Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts.

Biospecimen Collection

Each adult respondent, who completed the interview at Wave 1, was asked to provide at least two biospecimens. Providing biospecimens was voluntary and was not a condition of participation. Respondents were asked to report their use of all nicotine-containing products during the 3-day period prior to the time of any biospecimen collection (Nicotine Exposure Questions (NEQs)) to facilitate interpretation of biomarker results.

Of the 32,320 respondents who completed the Adult Interview at Wave 1, 21,801 (67.4 percent) provided a urine specimen and 14,520 (44.9 percent) provided a blood specimen. For the purposes of subsampling adults into the Wave 1 Biomarker Core, adult participants were grouped by tobacco product use at Wave 1 into nine mutually exclusive groups.

A sample of 11,522 adults who provided sufficient urine for the planned analyses were selected from the first six tobacco product use groups (see section 3.1 of the Biomarker Restricted-Use Files User Guide) representing people who never used tobacco, currently use tobacco, and formerly used tobacco (within the last 12 months). This group constitutes the original Wave 1 Biomarker Core. Of the 11,522 adults, 7,159 also provided a blood specimen. All urine and blood specimens provided by the Wave 1 Biomarker Core were sent for laboratory analysis.

Subsequent to this selection, an additional stratified probability sample of adults who completed the Wave 1 Adult Interview and provided a sufficient amount of urine for the planned analyses at Wave 1 (independent of whether they provided a blood specimen) was selected from the remaining three product use groups (see section 3.1 of the Biomarker Restricted-Use Files User Guide). Wave 1 blood and urine specimens from this expansion sample were also sent for laboratory analysis. The original and expansion samples together form the expanded Wave 1 Biomarker Core. The expansion sample did not provide urine specimens for laboratory analysis again until Wave 7.

Each youth who completed the Wave 4 interview was asked to provide a urine specimen. Each Wave 4 shadow youth (ages 10 and 11 at Wave 4) who completed the Wave 5 youth interview was also asked to provide a urine specimen. Providing this urine biospecimen was voluntary and was not a condition of participation.

Of the 14,798 respondents who completed the Youth Interview at Wave 4, 13,097 (88.5 percent) provided a urine specimen. A sample of 3,509 Wave 4 Cohort youth ages 12 to 17 who completed the Wave 4 Youth Interview and provided a sufficient amount of urine for the planned laboratory analyses was selected from a diverse mix of five tobacco product use and non-use groups. In addition, a sample of 528 Wave 4 shadow youth who completed a Wave 5 interview and provided a sufficient amount of urine for the planned laboratory analyses at Wave 5 was also selected. These 4,037 sampled youth and shadow youth constitute the Wave 4 Biomarker Core. All urine specimens provided by the Wave 4 Biomarker Core were sent for laboratory analysis.

As members of the Wave 1 and Wave 4 Biomarker Cores age over time, a new Wave 7 Biomarker Core was designed to provide nationally representative estimates for the U.S. civilian noninstitutionalized adult (ages 18 and older) population (CNP) at the time of Wave 7 (2022-2023). To that end, Aat the conclusion of Wave 7, a new biomarker core was selected from Wave 7 Cohort adults who completed an interview and provided a urine specimen at Wave 7. The Wave 7 Biomarker Core sample selection was a two-stage process. Prior to the start of data collection, a subsample of continuing participants expected to be adults at the time of their Wave 7 interview, including some participants who were part of the Wave 1 or Wave 4 Biomarker Cores, was selected and flagged for urine collection; additionally, a subsample of replenishment sample address was selected and flagged so that any Wave 7 Adult Interview respondents living at the selected addresses would be asked to provide a urine specimen. Of the 10,698 Adult Interview respondents from these subsamples, 9,187 (85.9 percent) provided a urine specimen. A sample of 7,750 Wave 7 Cohort adults who completed the Wave 7 Adult Interview and provided a sufficient amount of urine for the planned laboratory analyses was selected from six mutually exclusive and exhaustive tobacco use groups (see section 3.3 of the Biomarker Restricted-Use Files User Guide). All urine specimens provided by the Wave 7 Biomarker Core were sent for laboratory analysis.

Biomarker Restricted Use Files

Wave 1 Restricted-Use Biomarker Data Files (Biomarker RUF) consists of three different types of files for the Wave 1 Biomarker Core:

• 2 Collection and NEQ files for Urine (DS1001) and Blood (DS1101)
• 2 Biomarker Weight files including variables for use in variance estimation for Urine (DS1021) and Blood (DS1121). Both files are updated to include records for the expanded Wave 1 Biomarker Core.
• 8 Urine Panels (DS1031 to DS1038), 4 Serum Panels (DS1131 to DS1134) and 1 Plasma Panel (DS1231) containing biomarker assay results. 6 Urine Panels (DS1032, DS1033, DS1035, DS1036, DS1037, and DS1038) and 2 Serum Panels (DS1131 and DS1132) are updated to include records for the expanded Wave 1 Biomarker Core.

All files updated to include records for the expanded Wave 1 Biomarker Core contain an indicator R01_A_W1BC_TYPE (1 = Original, 2 = Expansion) to identify respondents in the Wave 1 Biomarker Core original and expansion subsamples.

For Wave 2, urine biospecimens were requested from the original Wave 1 Biomarker Core. Respondents were also asked to complete the NEQs prior to biospecimen collection.

The Wave 2 Biomarker RUF consists of three different types of files:

• 1 Collection and NEQ file for Urine (DS2001)
• 2 Biomarker Weight files including variables for use in variance estimation for Urine (DS2021) and F2PG2a (DS2022)
• 8 Urine Panels (DS2031 to DS2038) containing biomarker assay results.

For Wave 3, urine biospecimens were requested from the original Wave 1 Biomarker Core. Respondents were also asked to complete the NEQs prior to biospecimen collection.

The Wave 3 Biomarker RUF consists of three different types of files:

• 1 Collection and NEQ file for Urine (DS3001)
• 4 Biomarker Weight files including variables for use in variance estimation for Urine (DS3021 and DS3022) and F2PG2a (DS3023 and DS3024).
• 7 Urine Panels (DS3032 to DS3038) containing biomarker assay results.

For Wave 4, urine biospecimens were requested from the original Wave 1 Biomarker Core and all youth who completed the Wave 4 interview. Respondents were also asked to complete the NEQs prior to biospecimen collection.

The Wave 4 Biomarker RUF consists of the following files for each Biomarker Core:

Wave 1 Biomarker Core:

• 1 Collection and NEQ file for Urine (DS4001)
• 4 Biomarker Weight files including variables for use in variance estimation for Urine (DS4021 and DS4022) and F2PG2a (DS4023 and DS4024).
• 7 Urine Panels (DS4032, DS4033, DS4034, DS4035, DS4036, DS4037 and DS4038) containing biomarker assay results.

Wave 4 Biomarker Core:

• 1 Collection and NEQ file for Youth Urine (DS4011)
• 1 Biomarker Weight files including variables for use in variance estimation for Urine (DS4043)
• 7 Urine Panels (DS4051, DS4053, DS4054, DS4055, DS4056, DS4057 and DS4058) containing biomarker assay results.

For Wave 5, urine biospecimens were requested from the original Wave 1 Biomarker Core and the Wave 4 Biomarker Core. Respondents were also asked to complete the NEQs prior to biospecimen collection.

The Wave 5 Biomarker RUF consists of the following files for each Biomarker Core:

Wave 1 Biomarker Core:

• 1 Collection and NEQ file for Urine (DS5001)
• 4 Biomarker Weight files including variables for use in variance estimation for Urine (DS5021 and DS5022) and F2PG2a (DS5023 and DS5024)
• 6 Urine Panels (DS5032, DS5033, DS5035, DS5036, DS5037, and DS5038) containing biomarker assay results.

Wave 4 Biomarker Core:

• 1 Collection and NEQ file for Youth Urine (DS5011)
• 1 Collection and NEQ file for Adult Urine (DS5001)
• 1 Biomarker Weight file including variables for use in variance estimation for Urine (DS5042)
• 7 Urine Panels (DS5051, DS5053, DS5054, DS5055, DS5056, DS5057, and DS5058) containing biomarker assay results.

Note that the initial release of 3 Urine Panels and Biomarker weights for the Wave 4 Biomarker Core only included records for those among the 3,509 members who responded in Wave 5 and provided urine specimens in sufficient quantities for laboratory analyses. As of version 20, the Wave 5 biomarker data files and weights include data for all Wave 4 Biomarker Core members who provided urine specimens at Wave 5 in sufficient quantities for laboratory analyses, including the Wave 4 shadow youth who completed their first interviews at Wave 5. This means that records were added to previously released urine panel data files (DS5051, DS5053, and DS5056) and biomarker weights (DS5042) to include data for the Wave 4 shadow youth (N=528) who completed their first interviews at Wave 5. All panels released in version 20 and beyond will include records for the complete Wave 4 Biomarker Core.

Also note that the Collection and NEQ file for Adult Urine (DS5001) includes data for both the Wave 1 Biomarker Core and Wave 4 Biomarker Core.

For Wave 7, urine biospecimens were requested from the Wave 1 Biomarker Core, the Wave 4 Biomarker Core, and those in the subsample eligible for the Wave 7 biomarker Core. Respondents were also asked to complete the NEQs prior to biospecimen collection.

The Wave 7 Biomarker RUF consists of the following files for each Biomarker Core:

Wave 1 Biomarker Core:

• 1 Collection and NEQ file for Urine (DS7001)
• 4 Biomarker Weight files including variables for use in variance estimation for Urine (DS7021 and DS7022) and F2PG2a (DS7023 and DS7024)
• 6 Urine Panels (DS7032, DS7033, DS7035, DS7036, DS7037, and DS7038) containing biomarker assay results.

Wave 4 Biomarker Core:

• 1 Collection and NEQ file for Youth Urine (DS7011)
• 1 Collection and NEQ file for Adult Urine (DS7001)
• 2 Biomarker Weight files including variables for use in variance estimation for Urine (DS7041 and DS7042)
• 6 Urine Panels (DS7051, DS7053, DS7055, DS7056, DS7057, and DS7058) containing biomarker assay results.

Wave 7 Biomarker Core:

• 1 Collection and NEQ file for Urine (DS7001)
• 1 Biomarker Weight file including variables for use in variance estimation for Urine (DS7061)
• 6 Urine Panels (DS7072, DS7073, DS7075, DS7076, DS7077, and DS7078) containing biomarker assay results.

The Collection and NEQ file for Adult Urine (DS7001) includes data for the Wave 1 Biomarker Core, Wave 4 Biomarker Core, and Wave 7 Biomarker Core.

Please refer to the Biomarker Restricted-Use Files User Guide for additional information about the Biomarker Cores.

References to the collection of biospecimens will be specified by the collected specimen, i.e., urine and (whole) blood. However, references to biomarker analyses and analytes will be specified by the type of matrix (serum, plasma, or urine) used for the analysis.

The PATH Study was launched in 2011 to inform the Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). For Wave 1 (baseline), the study sampled over 150,000 mailing addresses across the United States to create a national sample of people who do and do not use tobacco.

45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete the Youth Interview after parental consent.

At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population (CNP) at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Units (PSUs) and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the CNP at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.

At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the CNP at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This second replenishment sample was combined for estimation and analysis purposes with Wave 7 adult and youth respondents from the Wave 4 Cohort who were at least age 15 and in the CNP at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort.

Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts.

Dataset 0001 (DS0001) contains the data from the Public-Use File Master Linkage File (PUF-MLF). This file contains 103 variables and 82,139 cases. The file provides a master list of every person's unique identification number and what type of respondent they were in each wave for data that are available in the Public-Use Files and Special Collection Public-Use Files.

Dataset 0002 (DS0002) contains the data from the Restricted-Use File Master Linkage File (RUF-MLF). This file contains 217 variables and 82,139 cases. The file provides a master list of every person's unique identification number and what type of respondent they were in each wave for data that are available in the Restricted-Use Files, Special Collection Restricted-Use Files, and Biomarker Restricted-Use Files.

The Population Assessment of Tobacco and Health (PATH) Study began originally surveying 45,971 adult and youth respondents. The PATH Study was launched in 2011 to inform Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who use or do not use tobacco.

45,971 adults and youth constitute the first (baseline) wave of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent.

At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Units (PSUs) and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the civilian, noninstitutionalized population at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.

Dataset 0001 (DS0001) contains the data from the Master Linkage file. This file contains 14 variables and 67,276 cases. The file provides a master list of every person's unique identification number and what type of respondent they were for each wave.

At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This second replenishment sample was combined for estimation and analysis purposes with Wave 7 adult and youth respondents from the Wave 4 Cohort who were at least age 15 and in the civilian, noninstitutionalized population at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort.

Please refer to the Public-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts.

Dataset 1001 (DS1001) contains the data from the Wave 1 Adult Questionnaire. This data file contains 1,732 variables and 32,320 cases. Each of the cases represents a single, completed interview.

Dataset 1002 (DS1002) contains the data from the Youth and Parent Questionnaire. This file contains 1,228 variables and 13,651 cases.

Dataset 2001 (DS2001) contains the data from the Wave 2 Adult Questionnaire. This data file contains 2,197 variables and 28,362 cases. Of these cases, 26,447 also completed a Wave 1 Adult Questionnaire. The other 1,915 cases are "aged-up adults" having previously completed a Wave 1 Youth Questionnaire.

Dataset 2002 (DS2002) contains the data from the Wave 2 Youth and Parent Questionnaire. This data file contains 1,389 variables and 12,172 cases. Of these cases, 10,081 also completed a Wave 1 Youth Questionnaire. The other 2,091 cases are "aged-up youth" having previously been sampled as "shadow youth."

Dataset 3001 (DS3001) contains the data from the Wave 3 Adult Questionnaire. This data file contains 2,139 variables and 28,148 cases. Of these cases, 26,241 are continuing adults having completed a prior Adult Questionnaire. The other 1,907 cases are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 3002 (DS3002) contains the data from the Wave 3 Youth and Parent Questionnaire. This data file contains 1,309 variables and 11,814 cases. Of these cases, 9,769 are continuing youth having completed a prior Youth Interview. The other 2,045 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 3101, 3102, 3201 and 3202 (DS3101, DS3102, DS3201, and DS3202) are data files comprising the weight variables for Wave 3. The weight variables for Wave 1 and Wave 2 are included in the main data files. However, in Wave 3, the weight variables have been separated into individual data files for Adult and Youth Questionnaires. The "all-waves" weight files contain weights for those respondents who have completed an interview during all three waves of data collection. The "single-wave" weight files contain weights for all respondents in Wave 3 regardless of their participation in previous waves.

Dataset 3503 (DS3503) contains data derived from responses to Wave 1-3 questionnaires indicating if participants had ever/never used various tobacco products as of the Wave 3 study period. This data file contains 25 variables for all 53,178 study participants as of Wave 3. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 4001 (DS4001) contains the data from the Wave 4 Adult Questionnaire. This data file contains 2,182 variables and 33,822 cases. Of these cases, 25,857 are continuing adults having completed a prior Adult Questionnaire, 1,900 are "aged-up adults" having previously completed a Youth Questionnaire, and 6,065 are "replenishment sample adults" (also known as "new cohort adults" in the annotated instrument).

Dataset 4002 (DS4002) contains the data from the Wave 4 Youth and Parent Questionnaire. This data file contains 1,389 variables and 14,798 cases. Of these cases, 9,365 are continuing youth having completed a prior Youth Interview, 1,694 cases are "aged-up youth" having previously been sampled as "shadow youth," and 3,739 are "replenishment sample youth" (also known as "new cohort youth" in the annotated instrument).

Datasets 4111, 4112, 4211, 4212, 4321, and 4322 (DS4111, DS4112, DS4211, DS4212, DS4321, and DS4322) are data files comprising the weight variables for Wave 4. In Wave 4, the weight variables have been separated into individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types. The "all-waves" weight files contain weights for those Wave 1 Cohort respondents who completed an interview for all waves in which they were old enough or verified their information for waves in which they were not old enough to be interviewed. The "single-wave" weight files contain weights for Wave 1 Cohort respondents at Wave 4 who completed an interview at Wave 1, regardless of their participation in previous waves. The "cross-sectional" weight files contain weights for all respondents in the Wave 4 Cohort.

Dataset 4503 (DS4503) contains data derived from responses to Wave 1-4 questionnaires indicating if participants had ever/never used various tobacco products as of the Wave 4 data collection period. This data file contains 27 variables for all 67,276 study participants as of the Wave 4 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 5001 (DS5001) contains the data from the Wave 5 Adult Questionnaire. This data file contains 2,315 variables and 34,309 cases. Of these cases, 29,876 are continuing adults having completed a prior Adult Questionnaire, 4,433 are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 5002 (DS5002) contains the data from the Wave 5 Youth and Parent Questionnaire. This data file contains 1,530 variables and 12,098 cases. Of these cases, 10,446 are continuing youth having completed a prior Youth Interview, 1,652 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 5111, 5112, 5211, 5212, 5221, 5222, 5711, 5712, 5721, and 5722 (DS5111, DS5112, DS5211, DS5212, DS5221, DS5222, DS5711, DS5712, DS5721, and DS5722) are data files comprising the weight variables for Wave 5. In Wave 5, the weight variables are in individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types. The "all-waves" weight files contain weights for those Wave 1 Cohort participants who completed a Wave 5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, and 4.

Dataset 5503 (DS5503) contains data derived from responses to Wave 1-5 (including Wave 4.5) questionnaires indicating if participants had ever/never used various tobacco products as of the Wave 5 data collection period. This data file contains 26 variables for all 67,276 study participants as of the Wave 5 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

There are two separate sets of files with "single wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 5, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for all Wave 5 interview respondents in the Wave 4 Cohort.

There are also two separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contains weights for participants who completed a Wave 5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, and the special collection in Wave 4.5. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Wave 4 and the special collection in Wave 4.5.

Dataset 6001 (DS6001) contains the data from the Wave 6 Adult Questionnaire. This data file contains 2,589 variables and 30,516 cases. Of these cases, 28,852 are continuing adults having completed a prior Adult Questionnaire and 1,664 are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 6002 (DS6002) contains the data from the Wave 6 Youth and Parent Questionnaire. This data file contains 1,822 variables and 5,652 cases. Of these cases, 5,622 are continuing youth having completed a prior Youth interview and 30 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 6111, 6112, 6121, 6122, 6211, 6212, 6221, 6222, 6711, 6712, 6721, and 6722 (DS6111, DS6112, DS6121, DS6122, DS6211, DS6212, DS6221, DS6222, DS6711, DS6712, DS6721, and DS6722) are data files comprising the weight variables for Wave 6. In Wave 6, the weight variables are in individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types. There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, and 5. The "all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4 and 5.

There are two separate sets of files with "single-wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 6, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for participants who completed an interview in Wave 4 and in Wave 6, regardless of their participation in the intervening waves.

There are also two separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4 and 5, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS.

Dataset 6503 (DS6503) contains data derived from responses to Wave 1-6 (including Wave 4.5, Wave 5.5, and PATH-ATS) questionnaires indicating if participants had ever/never used various tobacco products as of the Wave 6 data collection period. This data file contains 24 variables for all 67,276 study participants as of the Wave 6 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 7001 (DS7001) contains the data from the Wave 7 Adult Questionnaire. This data file contains 2,813 variables and 30,801 cases. Of these cases, 27,258 are continuing adults having completed a prior Adult Questionnaire, 1,740 are "aged-up adults" having previously completed a Youth Questionnaire, and 1,803 are "replenishment sample adults" (also known as "new cohort adults" in the annotated instrument).

Dataset 7002 (DS7002) contains the data from the Wave 7 Youth and Parent Questionnaire. This data file contains 1,897 variables and 10,834 cases. Of these cases, 3,512 are continuing youth having completed a prior Youth Interview, 1 case is an "aged-up youth" having previously been sampled as "shadow youth," and 7,321 are "replenishment sample youth" (also known as "new cohort youth" in the annotated instrument).

Datasets 7111, 7112, 7121, 7122, 7211, 7212, 7221, 7222, 7331, 7332, 7711, 7712, 7721, and 7722 (DS DS7111, DS7112, DS7121, DS7122, DS7211, DS7212, DS7221, DS7222, DS7331, DS7332, DS7711, DS7712, DS7721, and DS7722) are data files comprising the weight variables for Wave 7. In Wave 7, the weight variables are in individual data files corresponding to the Wave 1, Wave 4, and Wave 7 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, and 6. The "all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, and 6.

There are two separate sets of files with "single-wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 7, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for participants who completed an interview in Wave 4 and in Wave 7, regardless of their participation in the intervening waves.

There are also two separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, 6, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, 6, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS.

The "cross-sectional" weight files contain weights for all respondents in the Wave 7 Cohort.

Dataset 8001 (DS8001) contains data from the Wave 8 Adult Questionnaire. This data file contains 3,467 variables and 31,477 cases. Of these cases, 30,021 are continuing adults having completed a prior Adult Questionnaire and 1,456 are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 8002 (DS8002) contains data from the Wave 8 Youth and Parent Questionnaire. This data file contains 2,393 variables and 8,002 cases. Of these cases, 7,046 are continuing youth having completed a prior Youth Interview and 956 are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 8111, 8121, 8122, 8211, 8221, 8231, 8232, 8711, 8721, 8722, 8731, and 8732 (DS8111, DS8121, DS8122, DS8211, DS8221, DS8231, DS8232, DS8711, 8DS721, DS8722, DS8731, and DS8732) are data files comprising the weight variables for Wave 8. In Wave 8, the weight variables are in individual data files corresponding to the Wave 1, Wave 4, and Wave 7 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, 6, and 7. Note that only adults have "all-waves" weights for the Wave 1 Cohort; youth from the Wave 1 Cohort aged-up to adults by the time of Wave 8. The "all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, 6, and 7.

There are three separate sets of files with "single-wave" weights: one for the Wave 1 Cohort, one for the Wave 4 Cohort, and one for the Wave 7 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 8, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for participants who completed an interview in Wave 4 and in Wave 8, regardless of their participation in the intervening waves. Note that only adults have "single-wave" weights for the Wave 1 and Wave 4 Cohorts; youth from the Wave 1 Cohort aged-up to adults by the time of Wave 8 and youth from the Wave 4 Cohort were selected as shadow youth so they do not have any interview data from Wave 4. The "single wave" weights files for the Wave 7 Cohort contain weights for participants who completed an interview in Wave 7 and in Wave 8.

There are also three separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort, one for the Wave 4 Cohort, and one for the Wave 7 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, 6, 7 and the special collections in Wave 4.5, Wave 5.5, and Wave 7.5. Note that only adults have "special collection all-waves" weights for the Wave 1 Cohort; youth from the Wave 1 Cohort aged-up to adults by the time of Wave 8. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, 6, 7, and the special collections in Wave 4.5, Wave 5.5, and Wave 7.5. The "special collection all-waves" weight files for the Wave 7 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Wave 7 and the special collection in Wave 7.5.

Each case in an Adult data file represents a single, completed interview. Each case in a Youth data file represents one youth and his or her parent's responses about that youth. Parents who provided permission for their child to participate in a Youth Interview were asked to complete a brief interview about their child. In all waves of data collection, less than 0.5 percent of the parents did not complete an interview. Most questions are asked about the child.

When multiple youth from the same household were selected to be in the study, the parent(s) completed separate interviews about each youth. If one parent completed two or more interviews, that parent only answered questions about himself/herself once. Those questions were then skipped in the subsequent interview(s) for the other child(ren) and the responses duplicated in that child(ren)'s data file(s).

The PATH Study was launched in 2011 to inform the Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who use or do not use tobacco.

45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent.

At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population (CNP) at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Units (PSUs) and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the CNP at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.

At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the CNP at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This "second replenishment sample" was combined for estimation and analysis purposes with the Wave 7 adult and youth respondents from the Wave 4 Cohort who were at least age 15 and in the CNP at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort.

Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts.

Dataset 0002 (DS0002) contains the data from the State Design Data. This file contains 7 variables and 82,139 cases. The state identifier in the State Design file reflects the participant's state of residence at the time of selection and recruitment for the PATH Study.

Dataset 1011 (DS1011) contains the data from the Wave 1 Adult Questionnaire. This data file contains 2,021 variables and 32,320 cases. Each of the cases represents a single, completed interview.

Dataset 1012 (DS1012) contains the data from the Wave 1 Youth and Parent Questionnaire. This file contains 1,431 variables and 13,651 cases.

Dataset 1411 (DS1411) contains the Wave 1 State Identifier data for Adults and has 5 variables and 32,320 cases. Dataset 1412 (DS1412) contains the Wave 1 State Identifier data for Youth (and Parents) and has 5 variables and 13,651 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state Federal Information Processing System (FIPS), state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 1, which is also their state of residence at the time of recruitment.

Dataset 1611 (DS1611) contains the Tobacco Universal Product Code (UPC) data from Wave 1. This data file contains 32 variables and 8,601 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 1. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 1.

Dataset 1801 (DS1801) contains Location Characteristics for Wave 1 Adults. This data file contains 4 variables and 32,320 cases.

Dataset 1802 (DS1802) contains Location Characteristics for Wave 1 Youth. This data file contains 4 variables and 13,651 cases.

Dataset 1901 (DS1901) contains Study Research Derived Variables for Wave 1 Adults created by PATH Study analysts. This data file contains 104 variables and 32,320 cases.

Dataset 1902 (DS1902) contains Study Research Derived Variables for Wave 1 Youth created by PATH Study analysts. This data file contains 89 variables and 13,651 cases.

Dataset 2011 (DS2011) contains the data from the Wave 2 Adult Questionnaire. This data file contains 2,421 variables and 28,362 cases. Of these cases, 26,447 also completed a Wave 1 Adult Questionnaire. The other 1,915 cases are "aged-up adults" having previously completed a Wave 1 Youth Questionnaire.

Dataset 2012 (DS2012) contains the data from the Wave 2 Youth and Parent Questionnaire. This data file contains 1,596 variables and 12,172 cases. Of these cases, 10,081 also completed a Wave 1 Youth Questionnaire. The other 2,091 cases are "aged-up youth" having previously been sampled as "shadow youth."

Dataset 2411 (DS2411) contains the Wave 2 State Identifier data for Adults and has 5 variables and 28,362 cases. Dataset 2412 (DS2412) contains the Wave 2 State Identifier data for Youth and Parents and has 5 variables and 12,172 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 2.

Dataset 2611 (DS2611) contains the Tobacco Universal Product Code (UPC) data from Wave 2. This data file contains 32 variables and 7,295 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 2. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 2.

Dataset 2801 (DS2801) contains Location Characteristics for Wave 2 Adults. This data file contains 4 variables and 28,362 cases.

Dataset 2802 (DS2802) contains Location Characteristics for Wave 2 Youth. This data file contains 4 variables and 12,172 cases.

Dataset 2901 (DS2901) contains Study Research Derived Variables for Wave 2 Adults created by PATH Study analysts. This data file contains 178 variables and 28,362 cases.

Dataset 2902 (DS2902) contains Study Research Derived Variables for Wave 2 Youth created by PATH Study analysts. This data file contains 123 variables and 12,172 cases.

Dataset 3011 (DS3011) contains the data from the Wave 3 Adult Questionnaire. This data file contains 2,359 variables and 28,148 cases. Of these cases, 26,241 are continuing adults having completed a prior Adult Questionnaire. The other 1,907 cases are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 3012 (DS3012) contains the data from the Wave 3 Youth and Parent Questionnaire. This data file contains 1,492 variables and 11,814 cases. Of these cases, 9,769 are continuing youth having completed a prior Youth Interview. The other 2,045 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 3111, 3211, 3112, and 3212 (DS3111, DS3211, DS3112, and DS3212) are data files comprising the weight variables for Wave 3. The weight variables for Wave 1 and Wave 2 are included in the main data files. However, starting with Wave 3, the weight variables have been separated into individual data files. The "all-waves" weight files contain weights for respondents who completed an interview for all waves in which they were old enough to do so or verified their information with the study for waves in which they were not old enough to be interviewed. The "single-wave" weight files contain weights for all respondents in Wave 3 regardless of their participation in previous waves.

Dataset 3503 (DS3503) contains data derived from responses to Wave 1-3 questionnaires indicating if participants had ever/never used various tobacco products as of the Wave 3 study period. This data file contains 25 variables for all 53,178 study participants as of Wave 3. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 3411 (DS3411) contains the Wave 3 State Identifier data for Adults and has 5 variables and 28,148 cases. Dataset 3412 (DS3412) contains the Wave 3 State Identifier data for Youth and Parents and has 5 variables and 11,814 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 3.

Dataset 3611 (DS3611) contains the Tobacco Universal Product Code (UPC) data from Wave 3. This data file contains 32 variables and 6,768 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 3. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 3.

Dataset 3801 (DS3801) contains Location Characteristics for Wave 3 Adults. This data file contains 4 variables and 28,148 cases.

Dataset 3802 (DS3802) contains Location Characteristics for Wave 3 Youth. This data file contains 4 variables and 11,814 cases.

Dataset 3901 (DS3901) contains Study Research Derived Variables for Wave 3 Adults created by PATH Study analysts. This data file contains 107 variables and 28,148 cases.

Dataset 3902 (DS3902) contains Study Research Derived Variables for Wave 3 Youth created by PATH Study analysts. This data file contains 88 variables and 11,814 cases.

Dataset 4001 (DS4001) contains the data from the Wave 4 Adult Questionnaire. This data file contains 2,504 variables and 33,822 cases. Of these cases, 25,857 are continuing adults having completed a prior Adult Questionnaire, 1,900 are "aged-up adults" having previously completed a Youth Questionnaire, and 6,065 are "replenishment sample adults" (also known as "new cohort adults" in the annotated instrument).

Dataset 4002 (DS4002) contains the data from the Wave 4 Youth and Parent Questionnaire. This data file contains 1,600 variables and 14,798 cases. Of these cases, 9,365 are continuing youth having completed a prior Youth Interview, 1,694 cases are "aged-up youth" having previously been sampled as "shadow youth," and 3,739 are "replenishment sample youth" (also known as "new cohort youth" in the annotated instrument).

Datasets 4111, 4211, 4321, 4112, 4212, and 4322 (DS4111, DS4211, DS4321, DS4112, DS4212, and DS4322) are data files comprising the weight variables for Wave 4. In Wave 4, the weight variables have been separated into individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types. The "all-waves" weight files contain weights for those Wave 1 Cohort respondents who completed an interview for all waves in which they were old enough or verified their information for waves in which they were not old enough to be interviewed. The "single-wave" weight files contain weights for Wave 1 Cohort respondents at Wave 4 who completed an interview at Wave 1, regardless of their participation in previous waves. The "cross-sectional" weight files contain weights for all respondents in the Wave 4 Cohort.

Dataset 4401 (DS4401) contains the Wave 4 State Identifier data for Adults and has 5 variables and 33,822 cases. Dataset 4402 (DS4402) contains the Wave 4 State Identifier data for Youth and Parents and has 5 variables and 14,798 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 4. For adults and youth from the replenishment sample, the values also represent state of residence at the time of recruitment.

Dataset 4503 (DS4503) contains data derived from responses to Wave 1-4 questionnaires, indicating if participants had ever/never used various tobacco products as of the Wave 4 data collection period. This data file contains 27 variables for all 67,276 study participants as of the Wave 4 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 4601 (DS4601) contains the Tobacco Universal Product Code (UPC) data from Wave 4. This data file contains 32 variables and 7,684 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 4. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 4.

Dataset 4801 (DS4801) contains Location Characteristics for Wave 4 Adults. This data file contains 4 variables and 33,822 cases.

Dataset 4802 (DS4802) contains Location Characteristics for Wave 4 Youth. This data file contains 4 variables and 14,798 cases.

Dataset 5001 (DS5001) contains the data from the Wave 5 Adult Questionnaire. This data file contains 2,606 variables and 34,309 cases. Of these cases, 29,876 are continuing adults having completed a prior Adult Questionnaire and 4,433 are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 5002 (DS5002) contains the data from the Wave 5 Youth and Parent Questionnaire. This data file contains 1,776 variables and 12,098 cases. Of these cases, 10,446 are continuing youth having completed a prior Youth Interview and 1,652 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 5111, 5112, 5211, 5212, 5221, 5222, 5711, 5712, 5721, and 5722 (DS5111, DS5112, DS5211, DS5212, DS5221, DS5222, DS5711, DS5712, DS5721, and DS5722) are data files comprising the weight variables for Wave 5. In Wave 5, the weight variables are in individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types. The "all-waves" weight files contain weights for those Wave 1 Cohort participants who completed a Wave 5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, and 4.

There are two separate sets of files with "single wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 5, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for all Wave 5 interview respondents in the Wave 4 Cohort.

There are also two separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, and the special collection in Wave 4.5. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Wave 4 and the special collection in Wave 4.5.

Dataset 5401 (DS5401) contains the Wave 5 State Identifier data for Adults and has 5 variables and 34,309 cases. Dataset 5402 (DS5402) contains the Wave 5 State Identifier data for Youth and Parents and has 5 variables and 12,098 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 5.

Dataset 5503 (DS5503) contains data derived from responses to Wave 1-5 (including Wave 4.5) questionnaires indicating if participants had ever/never used various tobacco products as of the Wave 5 data collection period. This data file contains 26 variables for all 67,276 study participants as of the Wave 5 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 5601 (DS5601) contains the Tobacco Universal Product Code (UPC) data from Wave 5. This data file contains 33 variables and 6,678 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 5. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 5.

Dataset 5801 (DS5801) contains Location Characteristics for Wave 5 Adults. This data file contains 4 variables and 34,309 cases.

Dataset 5802 (DS5802) contains Location Characteristics for Wave 5 Youth. This data file contains 4 variables and 12,098 cases.

Dataset 6001 (DS6001) contains the data from the Wave 6 Adult Questionnaire. This data file contains 2,935 variables and 30,516 cases

Of these cases, 28,852 are continuing adults having completed a prior Adult Questionnaire and 1,664 are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 6002 (DS6002) contains the data from the Wave 6 Youth and Parent Questionnaire. This data file contains 2,080 variables and 5,652 cases. Of these cases, 5,622 are continuing youth having completed a prior Youth Interview and 60 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 6111, 6112, 6121, 6122, 6211, 6212, 6221, 6222, 6711, 6712, 6721, and 6722 (DS6111, DS6112, DS6121, DS6122, DS6211, DS6212, DS62221, DS6222, DS6711, DS6712, DS6721, and DS6722) are data files comprising the weight variables for Wave 6. In Wave 6, the weight variables are in individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types. There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, and 5. The "all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4 and 5.

There are two separate sets of files with "single-wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 6, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for participants who completed an interview in Wave 4 and in Wave 6, regardless of their participation in the intervening waves.

There are also two separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 6 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4 and 5, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS.

Dataset 6401 (DS6401) contains the Wave 6 State Identifier data for Adults and has 5 variables and 30,516 cases. Dataset 6402 (DS6402) contains the Wave 6 State Identifier data for Youth and Parents and has 5 variables and 5,652 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 6.

Dataset 6503 (DS6503) contains data derived from responses to questionnaires in Waves 1-6 (including the special collections in Wave 4.5, Wave 5.5, and PATH-ATS) indicating if participants had ever/never used various tobacco products as of the Wave 6 data collection period. This data file contains 24 variables for all 67,276 study participants as of the Wave 6 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 6601 (DS6601) contains the Tobacco Universal Product Code (UPC) data from Wave 6. This data file contains 53 variables and 5,408 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 6. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 6.

Dataset 6801 (DS6801) contains Location Characteristics for Wave 6 Adults. This data file contains 4 variables and 30,516 cases.

Dataset 6802 (DS6802) contains Location Characteristics for Wave 6 Youth. This data file contains 4 variables and 5,652 cases.

Dataset 7001 (DS7001) contains the data from the Wave 7 Adult Questionnaire. This data file contains 3,221 variables and 30,801 cases. Of these cases, 27,258 are continuing adults having completed a prior Adult Questionnaire, 1,740 are "aged-up adults" having previously completed a Youth Questionnaire, and 1,803 are "replenishment sample adults" (also known as "new cohort adults" in the annotated instrument).

Dataset 7002 (DS7002) contains the data from the Wave 7 Youth and Parent Questionnaire. This data file contains 2,171 variables and 10,834 cases. Of these cases, 3,512 are continuing youth having completed a prior Youth Interview, 1 case is an "aged-up youth" having previously been sampled as "shadow youth," and 7,321 are "replenishment sample youth" (also known as "new cohort youth" in the annotated instrument).

Datasets 7111, 7112, 7121, 7122, 7211, 7212, 7221, 7222, 7331, 7332, 7711, 7712, 7721, and 7722 (DS DS7111, DS7112, DS7121, DS7122, DS7211, DS7212, DS7221, DS7222, DS7331, DS7332, DS7711, DS7712, DS7721, and DS7722) are data files comprising the weight variables for Wave 7. In Wave 7, the weight variables are in individual data files corresponding to the Wave 1, Wave 4, and Wave 7 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, and 6. The "all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, and 6.

There are two separate sets of files with "single-wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 7, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for participants who completed an interview in Wave 4 and in Wave 7, regardless of their participation in the intervening waves.

There are also two separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, 6, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 7 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, 6, and the special collections in Wave 4.5, and Wave 5.5 or PATH-ATS.

The "cross-sectional" weight files contain weights for all respondents in the Wave 7 Cohort.

Dataset 7401 (DS7401) contains the Wave 7 State Identifier data for Adults and has 5 variables and 30,801 cases. Dataset 7402 (DS7402) contains the Wave 7 State Identifier data for Youth and Parents and has 5 variables and 10,834 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 7.

Dataset 7503 (DS7503) contains data derived from responses to questionnaires in Waves 1-7 (including the special collections in Wave 4.5, Wave 5.5, and PATH-ATS) indicating if participants had ever/never used various tobacco products as of the Wave 7 data collection period. This data file contains 26 variables for all 82,139 study participants as of the Wave 7 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 7601 (DS7601) contains the Tobacco Universal Product Code (UPC) data from Wave 7. This data file contains 53 variables and 4,533 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 7. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 7.

Dataset 7801 (DS7801) contains Location Characteristics for Wave 7 Adults. This data file contains 4 variables and 30,801 cases.

Dataset 7802 (DS7802) contains Location Characteristics for Wave 7 Youth. This data file contains 4 variables and 10,834 cases.

Dataset 8001 (DS8001) contains the data from the Wave 8 Adult Questionnaire. This data file contains 3,467 variables and 31,477 cases. Of these cases, 30,021 are continuing adults having completed a prior Adult Questionnaire and 1,456 are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 8002 (DS8002) contains the data from the Wave 8 Youth and Parent Questionnaire. This data file contains 2,393 variables and 8,002 cases. Of these cases, 7,046 are continuing youth having completed a prior Youth Interview and 956 are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 8111, 8121, 8122, 8211, 8221, 8231, 8232, 8711, 8721, 8722, 8731, and 8732 (DS8111, DS8121, DS8122, DS8211, DS8221, DS8231, DS8232, DS8711, 8DS721, DS8722, DS8731, and DS8732) are data files comprising the weight variables for Wave 8. In Wave 8, the weight variables are in individual data files corresponding to the Wave 1, Wave 4, and Wave 7 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, 6, and 7. Note that only adults have "all-waves" weights for the Wave 1 Cohort; youth from the Wave 1 Cohort aged-up to adults by the time of Wave 8. The "all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, 6, and 7.

There are three separate sets of files with "single-wave" weights: one for the Wave 1 Cohort, one for the Wave 4 Cohort, and one for the Wave 7 Cohort. The "single-wave" weight files for the Wave 1 Cohort contain weights for participants who completed an interview in Wave 1 and in Wave 8, regardless of their participation in the intervening waves. The "single-wave" weight files for the Wave 4 Cohort contain weights for participants who completed an interview in Wave 4 and in Wave 8, regardless of their participation in the intervening waves. Note that only adults have "single-wave" weights for the Wave 1 and Wave 4 Cohorts; youth from the Wave 1 Cohort aged-up to adults by the time of Wave 8 and youth from the Wave 4 Cohort were selected as shadow youth so they do not have any interview data from Wave 4. The "single wave" weights files for the Wave 7 Cohort contain weights for participants who completed an interview in Wave 7 and in Wave 8.

There are also three separate sets of files with "special collection all-waves" weights: one for the Wave 1 Cohort, one for the Wave 4 Cohort, and one for the Wave 7 Cohort. The "special collection all-waves" weight files for the Wave 1 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 5, 6, 7 and the special collections in Wave 4.5, Wave 5.5, and Wave 7.5. Note that only adults have "special collection all-waves" weights for the Wave 1 Cohort; youth from the Wave 1 Cohort aged-up to adults by the time of Wave 8. The "special collection all-waves" weight files for the Wave 4 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 5, 6, 7, and the special collections in Wave 4.5, Wave 5.5, and Wave 7.5. The "special collection all-waves" weight files for the Wave 7 Cohort contain weights for participants who completed a Wave 8 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Wave 7 and the special collection in Wave 7.5.

Dataset 8401 (DS8401) contains the Wave 8 State Identifier data for Adults and has 5 variables and 31,477 cases. Dataset 8402 (DS8402) contains the Wave 8 State Identifier data for Youth and Parents and has 5 variables and 8,002 cases. The same 5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 8.

Dataset 8801 (DS8801) contains Location Characteristics for Wave 8 Adults. This data file contains 4 variables and 31,477 cases.

Dataset 8802 (DS8802) contains Location Characteristics for Wave 8 Youth. This data file contains 4 variables and 8,002 cases.

Each case in an Adult data file represents a single, completed interview. Each case in a Youth data file represents one youth and his or her parent's responses about that youth. Parents who provided permission for their child to participate in a Youth Interview were asked to complete a brief interview about their child. In all waves of data collection, less than 0.5 percent of the parents did not complete an interview. Most questions are asked about the child.

When multiple youth from the same household were selected to be in the study, the parent(s) completed separate interviews about each youth. If one parent completed two or more interviews, that parent only answered questions about himself/herself once. Those questions were then skipped in the subsequent interview(s) for the other child(ren) and the responses duplicated in that child(ren)'s data file(s).

The PATH Study was launched in 2011 to inform the Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who do and do not use tobacco.

45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent.

At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population (CNP) at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Units (PSUs) and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the CNP at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.

At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the CNP at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This "second replenishment sample" was combined for estimation and analysis purposes with the Wave 7 adult and youth respondents from the Wave 4 Cohorts who were at least age 15 and in the CNP at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort.

Please refer to the Public-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts.

Wave 4.5 was a special data collection for youth only who were aged 12 to 17 at the time of the Wave 4.5 interview. Wave 4.5 was the fourth annual follow-up wave for those who were members of the Wave 1 Cohort. For those who were sampled at Wave 4, Wave 4.5 was the first annual follow-up wave.

Wave 5.5, conducted in 2020, was a special data collection for Wave 4 Cohort youth and young adults ages 13 to 19 at the time of the Wave 5.5 interview. Also in 2020, a subsample of Wave 4 Cohort adults ages 20 and older were interviewed via the PATH Study Adult Telephone Survey (PATH-ATS).

Wave 7.5 was a special collection for Wave 4 and Wave 7 Cohort youth and young adults ages 12 to 22 at the time of the Wave 7.5 interview. For those who were sampled at Wave 7, Wave 7.5 was the first annual follow-up wave.

Dataset 1002 (DS1002) contains the data from the Wave 4.5 Youth and Parent Questionnaire. This file contains 1,395 variables and 13,131 cases. Of these cases, 11,378 are continuing youth having completed a prior Youth Interview. The other 1,753 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 1112, 1212, and 1222, (DS1112, DS1212, and DS1222) are data files comprising the weight variables for Wave 4.5. The "all-waves" weight file contains weights for participants in the Wave 1 Cohort who completed a Wave 4.5 Youth Interview and completed interviews (if old enough to do so) or verified their information with the study (if not old enough to be interviewed) in Waves 1, 2, 3, and 4.

There are two separate files with "single wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight file for the Wave 1 Cohort contains weights for youth who completed an interview in Wave 1 and in Wave 4.5, regardless of their participation in the intervening waves. The "single-wave" weight file for the Wave 4 Cohort contains weights for all Wave 4.5 Youth Interview respondents in the Wave 4 Cohort.

Dataset 1503 (DS1503) contains data derived from responses to questionnaires in Wave 1, Wave 2, Wave 3, Wave 4, and Wave 4.5 indicating if participants had ever/never used various tobacco products as of the Wave 4.5 data collection period. This data file contains 26 variables for all 67,276 study participants as of the Wave 4.5 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 2001 (DS2001) contains the data from the Wave 5.5 Adult Questionnaire. This file contains 2,323 variables and 3,628 cases. Of these cases, 1,014 are continuing adults having completed a prior Adult Questionnaire. The other 2,614 cases are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 2002 (DS2002) contains the data from the Wave 5.5 Youth and Parent Questionnaire. This file contains 1,625 variables and 7,129 cases. Of these cases, 7,076 are continuing youth having completed a prior Youth Interview. The other 53 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 2111, 2112, 2121, 2122, 2221, and 2222 (DS2111, DS2112, DS2121, DS2122, DS2221, and DS2222) are data files comprising the weight variables for Wave 5.5. In Wave 5.5, the weight variables are in individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight file for the Wave 1 Cohort contains weights for participants who completed a Wave 5.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 4.5, and 5. The "all-waves" weight file for the Wave 4 Cohort contains weights for participants who completed a Wave 5.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 4.5, and 5.

The "single-wave" weight file for the Wave 4 Cohort contains weights for all Wave 5.5 interview respondents.

Dataset 3001 (DS3001) contains the data from PATH-ATS. This file contains 908 variables and 8,874 cases, all of which are continuing adults having completed a prior Adult Questionnaire, with their most recent interview in Wave 5.

Datasets 3111 and 3121 (DS3111 and DS3121) are data files comprising weights for PATH-ATS. In PATH-ATS, weight variables are in individual files corresponding to the Wave 1 and Wave 4 Cohorts.

The "all-waves" weight file for the Wave 1 Cohort contains weights for participants who completed an interview in PATH-ATS and completed interviews in Waves 1, 2, 3, 4, and 5. The "all-waves" weight file for the Wave 4 Cohort contains weights for participants who completed an interview in PATH-ATS; all PATH-ATS respondents completed interviews in Wave 4 and Wave 5.

Dataset 2503 (DS2503) contains data derived from responses to questionnaires in Wave 1, Wave 2, Wave 3, Wave 4, Wave 4.5, Wave 5, Wave 5.5, and PATH-ATS, indicating if participants had ever/never used various tobacco products as of the Wave 5.5/PATH-ATS data collection period. This data file contains 26 variables for all 67,276 study participants as of the Wave 5.5/PATH-ATS data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 4001 (DS4001) contains the data from the Wave 7.5 Adult Questionnaire. This file contains 2,760 variables and 7,961 cases. Of these cases, 5,952 are continuing adults having completed a prior Adult Questionnaire. The other 2,009 cases are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 4002 (DS4002) contains the data from the Wave 7.5 Youth and Parent Questionnaire. This file contains 1,889 variables and 8,949 cases. Of these cases, 7,064 are continuing youth having completed a prior Youth Interview. The other 1,885 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 4111, 4112, 4121, 4122, 4221, 4222, 4231, and 4232 (DS4111, DS4112, DS4121, DS4122, DS4221, DS4222, DS4231, and DS4232) are data files comprising the weight variables for Wave 7.5. In Wave 7.5, the weight variables are in individual data files corresponding to the Wave 1, Wave 4, and Wave 7 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight file for the Wave 1 Cohort contains weights for participants who completed a Wave 7.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 4.5, 5, 5.5, 6, and 7. The "all-waves" weight file for the Wave 4 Cohort contains weights for participants who completed a Wave 7.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 4.5, 5, 5.5, 6, and 7.

There are two separate sets of files with "single-waves" weights: one for the Wave 4 Cohort and one for the Wave 7 Cohort. The "single-wave" weight file for the Wave 4 Cohort contains weights for Wave 7.5 interview respondents in the Wave 4 Cohort, regardless of their response status at Waves 4.5, 5, 5.5, 6, or 7. The "single-wave" weight file for the Wave 7 Cohort contains weights for all Wave 7.5 interview respondents in the Wave 7 Cohort.

Dataset 4503 (DS4503) contains data derived from responses to questionnaires in Wave 1, Wave 2, Wave 3, Wave 4, Wave 4.5, Wave 5, Wave 5.5, PATH-ATS, Wave 6, Wave 7, and Wave 7.5, indicating if participants had ever/never used various tobacco products as of the Wave 7.5 data collection period. This data file contains 25 variables for all 82,139 study participants as of the Wave 7.5 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

The PATH Study was launched in 2011 to inform the Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who use or do not use tobacco.

45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete an interview after parental consent.

At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population (CNP) at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Units (PSUs) and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the CNP at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort.

At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the CNP at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This "second replenishment sample" was combined for estimation and analysis purposes with the Wave 7 adult and youth respondents from the Wave 4 Cohorts who were at least age 15 and in the CNP at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort.

Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts.

Wave 4.5 was a special data collection for youth only who were aged 12 to 17 at the time of the Wave 4.5 interview. Wave 4.5 was the fourth annual follow-up wave for those who were members of the Wave 1 Cohort. For those who were sampled at Wave 4, Wave 4.5 was the first annual follow-up wave.

Wave 5.5, conducted in 2020, was a special data collection for Wave 4 Cohort youth and young adults ages 13 to 19 at the time of the Wave 5.5 interview. Also in 2020, a subsample of Wave 4 Cohort adults ages 20 and older were interviewed via the PATH Study Adult Telephone Survey (PATH-ATS).

Wave 7.5 was a special collection for Wave 4 and Wave 7 Cohort youth and young adults ages 12 to 22 at the time of the Wave 7.5 interview. For those who were sampled at Wave 7, Wave 7.5 was the first annual follow-up wave.

Dataset 1002 (DS1002) contains the data from the Wave 4.5 Youth and Parent Questionnaire. This file contains 1,617 variables and 13,131 cases. Of these cases, 11,378 are continuing youth having completed a prior Youth Interview. The other 1,753 cases are "aged-up youth" having previously been sampled as "shadow youth"

Datasets 1112, 1212, and 1222, (DS1112, DS1212, and DS1222) are data files comprising the weight variables for Wave 4.5. The "all-waves" weight file contains weights for participants in the Wave 1 Cohort who completed a Wave 4.5 Youth Interview and completed interviews (if old enough to do so) or verified their information with the study (if not old enough to be interviewed) in Waves 1, 2, 3, and 4.

There are two separate files with "single wave" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "single-wave" weight file for the Wave 1 Cohort contains weights for youth who completed an interview in Wave 1 and in Wave 4.5, regardless of their participation in the intervening waves. The "single-wave" weight file for the Wave 4 Cohort contains weights for all Wave 4.5 Youth Interview respondents in the Wave 4 Cohort.

Dataset 1402 (DS1402) contains the Wave 4.5 State Identifier data for Youth and Parents and has 5 variables and 13,131 cases. The State Identifier dataset includes PERSONID for linking the State Identifier to the questionnaire data and 3 variables designating the state (state Federal Information Processing System (FIPS), state abbreviation, and full name of the state). The State Identifier values in this dataset represent participants' state of residence at the time of Wave 4.5.

Dataset 1503 (DS1503) contains data derived from responses to questionnaires in Wave 1, Wave 2, Wave 3, Wave 4, and Wave 4.5 indicating if participants had ever/never used various tobacco products as of the Wave 4.5 data collection period. This data file contains 26 variables for all 67,276 study participants as of the Wave 4.5 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 2001 (DS2001) contains the data from the Wave 5.5 Adult Questionnaire. This file contains 2,619 variables and 3,628 cases. Of these cases, 1,014 are continuing adults having completed a prior Adult Questionnaire. The other 2,614 cases are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 2002 (DS2002) contains the data from the Wave 5.5 Youth and Parent Questionnaire. This file contains 1,871 variables and 7,129 cases. Of these cases, 7,076 are continuing youth having completed a prior Youth Interview. The other 53 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 2111, 2112, 2121, 2122, 2221, and 2222 (DS2111, DS2112, DS2121, DS2122, DS2221, and DS2222) are data files comprising the weight variables for Wave 5.5. In Wave 5.5, the weight variables are in individual data files corresponding to the Wave 1 and Wave 4 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight file for the Wave 1 Cohort contains weights for participants who completed a Wave 5.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 4.5, and 5. The "all-waves" weight file for the Wave 4 Cohort contains weights for participants who completed a Wave 5.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 4.5 and 5.

The "single-wave" weight file for the Wave 4 Cohort contains weights for all Wave 5.5 interview respondents.

Dataset 2401 (DS2401) contains the Wave 5.5 State Identifier data for Adults and has 5 variables and 3,628 cases. Dataset 2402 (DS2402) contains the Wave 5.5 State Identifier data for Youth and Parents and has 5 variables and 7,129 cases. The same 5.5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 5.5.

Dataset 2503 (DS2503) contains data derived from responses to questionnaires in Wave 1, Wave 2, Wave 3, Wave 4, Wave 4.5, Wave 5, and Wave 5.5 indicating if participants had ever/never used various tobacco products as of the Wave 5.5 data collection period. This data file contains 26 variables for all 67,276 study participants as of the Wave 5.5 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 3001 (DS3001) contains the data from PATH-ATS. This file contains 977 variables and 8,874 cases, all of which are continuing adults having completed a prior Adult Questionnaire, with their most recent interview in Wave 5.

Datasets 3111 and 3121 (DS3111 and DS3121) are data files comprising weights for PATH-ATS. In PATH-ATS, weight variables are in individual files corresponding to the Wave 1 and Wave 4 Cohorts.

The "all-waves" weight file for the Wave 1 Cohort contains weights for participants who completed an interview in PATH_-ATS and completed interviews in Waves 1, 2, 3, 4, and 5. The "all-waves" weight file for the Wave 4 Cohort contains weights for participants who completed an interview in PATH-ATS; all PATH-ATS respondents completed interviews in Wave 4 and Wave 5.

Dataset 3401 (DS3401) contains the PATH-ATS State Identifier data and has 5 variables and 8,874 cases. The State Identifier dataset includes PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in this dataset represents participants' state of residence at the time of PATH-ATS.

Dataset 4001 (DS4001) contains the data from the Wave 7.5 Adult Questionnaire. This file contains 3,142 variables and 7,961 cases. Of these cases, 5,952 are continuing adults having completed a prior Adult Questionnaire. The other 2,009 cases are "aged-up adults" having previously completed a Youth Questionnaire.

Dataset 4002 (DS4002) contains the data from the Wave 7.5 Youth and Parent Questionnaire. This file contains 2,169 variables and 8,949 cases. Of these cases, 7,064 are continuing youth having completed a prior Youth Interview. The other 1,885 cases are "aged-up youth" having previously been sampled as "shadow youth."

Datasets 4111, 4112, 4121, 4122, 4221, 4222, 4231, and 4232 (DS4111, DS4112, DS4121, DS4122, DS4221, DS4222, DS4231, and DS4232) are data files comprising the weight variables for Wave 7.5. In Wave 7.5, the weight variables are in individual data files corresponding to the Wave 1, Wave 4, and Wave 7 Cohorts and different weight types.

There are two separate sets of files with "all-waves" weights: one for the Wave 1 Cohort and one for the Wave 4 Cohort. The "all-waves" weight file for the Wave 1 Cohort contains weights for participants who completed a Wave 7.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 1, 2, 3, 4, 4.5, 5, 5.5, 6, and 7. The "all-waves" weight file for the Wave 4 Cohort contains weights for participants who completed a Wave 7.5 interview and completed interviews (if old enough to do so) or verified their information (if not old enough to be interviewed) in Waves 4, 4.5, 5, 5.5, 6, and 7.

There are two separate sets of files with "single-waves" weights: one for the Wave 4 Cohort and one for the Wave 7 Cohort. The "single-wave" weight file for the Wave 4 Cohort contains weights for Wave 7.5 interview respondents in the Wave 4 Cohort, regardless of their response status at Waves 4.5, 5, 5.5, 6, or 7. The "single-wave" weight file for the Wave 7 Cohort contains weights for all Wave 7.5 interview respondents in the Wave 7 Cohort.

Dataset 4401 (DS4401) contains the Wave 7.5 State Identifier data for Adults and has 5 variables and 7,961 cases. Dataset 4402 (DS4402) contains the Wave 7.5 State Identifier data for Youth and Parents and has 5 variables and 8,949 cases. The same 7.5 variables are in each State Identifier dataset, including PERSONID for linking the State Identifier to the questionnaire and biomarker data and 3 variables designating the state (state FIPS, state abbreviation, and full name of the state). The State Identifier values in these datasets represent participants' state of residence at the time of Wave 7.5.

Dataset 4503 (DS4503) contains data derived from responses to questionnaires in Wave 1, Wave 2, Wave 3, Wave 4, Wave 4.5, Wave 5, Wave 5.5, PATH-ATS, Wave 6, Wave 7, and Wave 7.5 indicating if participants had ever/never used various tobacco products as of the Wave 7.5 data collection period. This data file contains 25 variables for all 82,139 study participants as of the Wave 7.5 data collection. This file is provided for reference only to simplify the definitions of tobacco use variables in the Adult and Youth data files for subsequent waves.

Dataset 4601 (DS4601) contains the Tobacco Universal Product Code (UPC) data from Wave 7.5. This data file contains 53 variables and 157 cases. This file contains UPC values on the packages of tobacco products used or in the possession of adult respondents at the time of Wave 7.5. The UPC values can be used to identify and validate the specific products used by respondents and augment the analyses of the characteristics of tobacco products used by these respondents at the time of Wave 7.5.

This Fast Release study is part of the Seek, Test, Treat and Retain (STTR) Collaboration Project, which involved over twenty studies in the fields of HIV and drug abuse. All files in the compressed zip package are released as deposited by the PI and were not further processed.

This study evaluated the efficacy of an integrated "Retention Clinic" in achieving virologic suppression among HIV-infected cocaine users.

The Schools and Families Education (SAFE) Children Study was a randomized control trial designed to test the efficacy of a family-based comprehensive preventive intervention, with children living in inner-city Chicago and entering the 1st grade, for effects on key risk markers for later drug and other substance use.

A total of 11 waves of data were collected over the course of three phases and approximately 13 years. In the spring of 1997, there were 424 kindergarten students and primary caregivers recruited to participate in this study. Wave 1 began while the children were in 1st grade. These data contain survey responses for students, their primary caregivers, and their teachers across 27 datasets.

Phase I of the study was to assess the intervention provided in the 1st grade. Half of the families were randomly selected to receive the intervention. The other half were assigned to the control group. Phase II of the study was set-up to give half of the intervention group a booster, a second intervention training. Lastly, there was a Phase III which sought to assess the long-term affects of the initial and booster interventions.

The first dataset (DS1) provides an overview of the study which includes variables for the study design and survey administration. This first file contains 38 variables.

Survey responses were obtained from students nine times beginning in 1st grade and ending in 12th grade. Children were not surveyed in waves 3 and 7. The student survey response data are in DS2 through DS10. The datasets for waves 1, 2, 4, and 5 contain only 50 variables. Waves 6, 8, and 9 contain 424 variables. Waves 10 and 11 contain 1,394 variables. Each of the three phases contain almost identical variables within their respective waves.

The children's primary caregivers were also surveyed nine times over the survey period. Primary caregivers were not surveyed in waves 3 and 7. These data are contained in DS11 through DS19. The primary caregiver files vary in the number and content of variables. On average each wave contains about 1,060 variables with a low of 470 on up to a high of 1,435.

Teachers were surveyed during each of the first eight waves of the study. The teacher data are in DS20 through DS27. Waves 1 and 2 contain just over 120 variables. Waves 3, 4, and 5 contain 145 variables. And waves 6, 7, and 8 contain 173 variables. Each of the three phases contain almost identical variables within their respective waves.

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.

The Seek, Test, and Treat (STT) strategies included the following parts:

Part 1

• Tested all detainees at the Milwaukee Secure Detention Facility (MSDF). MSDF is the state-operated detention facility for probation and parole revokees in Milwaukee County.

Part 2

• Linked (or re-linked) all HIV-positive persons and released to Milwaukee County from the WI prison system (including MSDF) to the state's largest HIV treatment and prevention service provider, the AIDS Resource Center of Wisconsin (ARCW).

Part 3

• Sought undiagnosed HIV infection within MSDF releasees' social/sexual risk networks through an innovative releasee-based referral testing strategy.

The Survey of Youth in Residential Placement (SYRP) is the only national survey that gathers data directly from youth in the juvenile justice system. The Office of Juvenile Justice and Delinquency Prevention (OJJDP) designed the survey in 2000 and 2001 to survey offender youth between the ages of 10 and 20. SYRP asks the youth about their backgrounds, offense histories and problems; the facility environment; experiences in the facility; experiences with alcohol and drugs; experiences of victimization in placement; medical needs and services received; and their expectations for the future. SYRP research provides answers to a number of questions about the characteristics and experiences of youth in custody including:

• Who are the youth in placement?
• What are their offenses?
• What are their family backgrounds?
• What are their expectations for the future?
• How are youth grouped in living units and programs?
• What activities are available in each facility?
• How accessible are social, emotional, and legal supports?
• What is the quality of the youth-staff relationships?
• How clear are the facility's rules?
• How clear is the facility's commitment to justice and due process?
• What methods of control and discipline do staff use?

SYRP's findings are based on anonymous interviews with a nationally representative sample of youth in custody during the spring of 2003 using audio computer-assisted self-interview (ACASI) technology. SYRP is the latest addition to two ongoing data collections that OJJDP designed and implemented in the 1990s. It joins the Census of Juveniles in Residential Placement and the Juvenile Residential Facility Census to provide updated statistics on youth in custody in the juvenile justice system.

SYRP bulletins, reports, and a simplified online analysis tool are available from the SYRP Project Web site.