The "https://addhealth.cpc.unc.edu/" Target="_blank">National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent 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, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The fifth wave of data collection is planned to begin in 2016.

Initiated in 1994 and supported by three program project grants from the "https://www.nichd.nih.gov/" Target="_blank">Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) with co-funding from 23 other federal agencies and foundations, Add Health is the largest, most comprehensive longitudinal survey of adolescents ever undertaken. Beginning with an in-school questionnaire administered to a nationally representative sample of students in grades 7-12, the study followed up with a series of in-home interviews conducted in 1995, 1996, 2001-02, and 2008. Other sources of data include questionnaires for parents, siblings, fellow students, and school administrators and interviews with romantic partners. Preexisting databases provide information about neighborhoods and communities.

Add Health was developed in response to a mandate from the U.S. Congress to fund a study of adolescent health, and Waves I and II focus on the forces that may influence adolescents' health and risk behaviors, including personal traits, families, friendships, romantic relationships, peer groups, schools, neighborhoods, and communities. As participants have aged into adulthood, however, the scientific goals of the study have expanded and evolved. Wave III, conducted when respondents were between 18 and 26** years old, focuses on how adolescent experiences and behaviors are related to decisions, behavior, and health outcomes in the transition to adulthood. At Wave IV, respondents were ages 24-32* and assuming adult roles and responsibilities. Follow up at Wave IV has enabled researchers to study developmental and health trajectories across the life course of adolescence into adulthood using an integrative approach that combines the social, behavioral, and biomedical sciences in its research objectives, design, data collection, and analysis.

* 52 respondents were 33-34 years old at the time of the Wave IV interview.
** 24 respondents were 27-28 years old at the time of the Wave III interview.

The Wave III public-use data are helpful in analyzing the transition between adolescence and young adulthood. Included here are school weights.

The National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent 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, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. Wave IV Wave IV was designed to study the developmental and health trajectories across the life course of adolescence into young adulthood. Taking place in 2008, approximately 92.5% of the original Wave I respondents were located and 80.3% of eligible cases were interviewed. The Wave IV public use file contains data on 5,114 respondents, aged 24 to 32*. In Wave IV, biological data was also gathered in an attempt to acquire a greater understanding of predisease pathway s, with a specific focus on obesity, stress, and health risk behavior. The Wave IV public use dataset includes the following data files: Wave IV In-home Interview File: variables from the in-home interview, including anthropometric measures Relationship Data Pregnancy Table File Live Births File Children and Parenting File Wave IV Weights Wave IV Public Use Biomarkers, Glucose Data Wave IV Public Use Biomarkers, Measures of EBV and hsCRP Wave IV Public Use Biomarkers, Lipids Data *17 respondents in the Wave IV public use sample were 33 years old at the time of the interview.

Abstract (en): The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent 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, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. This component of the Add Health restricted data is the Biomarker Data. The Glucose/HbA1c data file contains two measures of glucose homeostasis based on assays of the Wave IV dried blood spots: Glucose (mg/dl) and Hemoglobin A1c (HbA1c, %). Six additional constructed measures -- fasting duration, classification of fasting glucose, classification of non-fasting glucose, classification of HbA1c, diabetes medication, and a joint classification of glucose, HbA1c, self-reported history of diabetes, and anti-diabetic medication use -- are also included. The Lipids data file contains measures of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol, and total cholesterol to high-density lipoprotein cholesterol ratio. Additional variables include, measurement method for triglycerides (TG), total cholesterol (TC), high-density lipoprotein choleserol (HDL-C), Antihyperlipidemic medication use, joint classification of self-reported history of Hyperlipidemia and Antihyperlipidemic medication use, and fasting duration. For more information, please see the study website. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Adolescents in grades 7-12 and their families. Wave I, Stage 1 School sample: stratified, random sample of all high schools in the United States. A school was eligible for the sample if it included an 11th grade and had a minimum enrollment of 30 students. A feeder school, a school that sent graduates to the high school and that included a 7th grade, was also recruited from the community. Wave I, Stage 2: An in-home sample of 27,000 adolescents was drawn consisting of a core sample from each community plus selected special over samples. Eligibility for over samples was determined by an adolescent's responses on the In-School Questionnaire. Adolescents could qualify for more than one sample. In addition, parents were asked to complete a questionnaire about family and relationships. The Wave II in-home interview sample is the same as the Wave I in-home interview sample, with a few exceptions. Information about neighborhoods/communities was gathered from a variety of previously published databases. Wave III: The in-home Wave III sample consists of Wave I respondents who could be located and re-interviewed six years later. Wave III also collected High School Transcript Release Forms as well as samples of urine and saliva. 2013-11-14 Public release of documentation guides and codebooks.2013-11-07 Part 4 was added and it includes new Biomarker Lipid Data.2013-03-08 Part 2 was updated following a resupply of the data by the Principal Investigators. Specifically, additional variables added to the data file, and CRP and EBV values have been recalculated, resulting in minimal changes to the data. The associated documentation and codebook files were also updated. Finally, a user guide describing measures of inflammation and immune function for Part 2 was also added.2012-11-07 The codebook associat...

The "https://addhealth.cpc.unc.edu/" Target="_blank">National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades seven through 12 in the United States. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent 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, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The fifth wave of data collection is planned to begin in 2016.

Initiated in 1994 and supported by three program project grants from the "https://www.nichd.nih.gov/" Target="_blank">Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) with co-funding from 23 other federal agencies and foundations, Add Health is the largest, most comprehensive longitudinal survey of adolescents ever undertaken. Beginning with an in-school questionnaire administered to a nationally representative sample of students in grades seven through 12, the study followed up with a series of in-home interviews conducted in 1995, 1996, 2001-02, and 2008. Other sources of data include questionnaires for parents, siblings, fellow students, and school administrators and interviews with romantic partners. Preexisting databases provide information about neighborhoods and communities.

Add Health was developed in response to a mandate from the U.S. Congress to fund a study of adolescent health, and Waves I and II focus on the forces that may influence adolescents' health and risk behaviors, including personal traits, families, friendships, romantic relationships, peer groups, schools, neighborhoods, and communities. As participants have aged into adulthood, however, the scientific goals of the study have expanded and evolved. Wave III, conducted when respondents were between 18 and 26** years old, focuses on how adolescent experiences and behaviors are related to decisions, behavior, and health outcomes in the transition to adulthood. At Wave IV, respondents were ages 24-32* and assuming adult roles and responsibilities. Follow up at Wave IV has enabled researchers to study developmental and health trajectories across the life course of adolescence into adulthood using an integrative approach that combines the social, behavioral, and biomedical sciences in its research objectives, design, data collection, and analysis.

* 52 respondents were 33-34 years old at the time of the Wave IV interview.
** 24 respondents were 27-28 years old at the time of the Wave III interview.

Wave IV was designed to study the developmental and health trajectories across the life course of adolescence into young adulthood. Biological data was gathered in an attempt to acquire a greater understanding of pre-disease pathways, with a specific focus on obesity, stress, and health risk behavior. Included in this dataset are the Wave IV in-home questionnaire data.

No description was included in this Dataset collected from the OSF

The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. 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, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. Public-use biomarker data has been added.

Data is available from four instruments in Wave I (conducted from September 1994 through December 1995), two surveys in Wave II (conducted from April 1996 through August 1996), several sources in Wave III (collected from August 2001 through April 2002), and one in-home interview in Wave IV (conducted from January 2008 through February 2009). Data from Wave V, conducted during 2016-2018 as a mixed-mode survey to collect information on health status and indicators of chronic disease, is available upon application approval only.

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 Unit (PSU)s 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. 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

Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent 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, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database.

README Structural and functional MRI dataset from the Adolescent Health and Development in Context (AHDC) study in Columbus, Ohio with 2 waves of data

Authors: Baldwin M. Way (Principal Investigator), Christopher R. Browning, Dylan D. Wagner, Jodi L. Ford, Bethany Boettner, Ping Bai.

Study Overview These data were collected as part of a longitudinal study of adolescent health and well-being collected in Columbus, Ohio (Adolescent Health and Development in Context Study). The larger goals of the project (R01DA042080) were to understand how geospatial exposures predicted substance use. More specifically, Specific Aims 1a & 1b were to longitudinally and cross-sectionally determine how neural function and structure is reshaped by EtV in the community (1a) and substance use (1b). Specific Aim 2 was to use baseline as well as longitudinal neural changes to predict subsequent substance use and identify neural mediators. Specific Aim 3 was to identify risk and resilience factors that alter the effects of community EtV on the neural embedding of EtV as well as the neural prediction of substance use outcomes. The participants in this longitudinal neuroimaging study were recruited from the Adolescent Health and Development in Context study (Boettner, B., Browning, C. R., & Calder, C. A. (2019). Feasibility and validity of geographically explicit ecological momentary assessment with recall‐aided space‐time budgets. Journal of Research on Adolescence, 29(3), 627-645.).

Inquiries about this dataset should be directed to: way.37@osu.edu This dataset is licensed under the Creative Commons Zero (CC0) v1.0 License.

Study Area The study area is a contiguous space within the Interstate 270 loop outerbelt freeway, encompassing a majority of the city of Columbus as well as several suburban municipalities.

Sampling The sampling frame was based on a combination of a vendor-provided list of households in the study area with high probability of meeting eligibility criteria and directory data from public school districts represented in the study area. Households were mailed a letter or postcard describing the study, followed by interviewer calls to the household to solicit participation in the study. Once eligibility was confirmed with the household, one randomly selected youth aged 11-17 and one primary caregiver (English speaking) were recruited to participate in the study.

The racial/ethnic identity of the first wave of the AHDC study was 1,405 youth with 47% white, 38% Black, 5% Hispanic/Latino, 8% multiracial, and 2% Asian. The sample closely approximates the population in the study area with respect to household income of families with children and youth racial/ethnic composition, with the exception that the AHDC sample has a somewhat higher percent of youth who identified as Black compared with the 2009-2013 American Community Survey (ACS) estimates of the area.

For Wave 3 (the first neuroimaging wave), in addition to the participants recruited from the original sample, a refresher sample was recruited. These participants were recruited from within the families of the original sample (i.e. siblings) as well as using the same methods of recruiting the initial wave from low-income census tracts as well as tabling at schools in these tracts.

Study Design The study employs a prospective cohort design in which the data on youth and caregivers were collected at multiple time points. The Wave 1 field period began in spring 2014 and was completed in summer 2016. Wave 2 was conducted between January and December 2016. Wave 3 (the first imaging wave) was conducted between July of 2018 and March of 2020, concluding with the cessation of in person activities due to COVID-19 related restrictions on in-person activities. Wave 4 was run between July and October of 2020. Wave 5 was run between March and July of 2021. Wave 6 (the 2nd imaging wave) was run between May of 2022 and January of 2024.

Study Procedures Within each wave, participant data were collected over a weeklong period. An Entrance Survey with both a focal youth and his or her caregiver was followed by a seven-day smartphone-based Global Positioning System (GPS) tracking and Ecological Momentary Assessment (EMA) data collection period (EMA Week), and either a final Exit Survey at the end of the week (Waves 1 and 2) or a session at the Center for Cognitive and Behavioral Brain Imaging at the Ohio State University (Waves 3 and 6). Waves 4 and 5 were slightly different due to restrictions on in-person activity. Wave 4 consisted of a phone interview and online survey that was completed remotely with participants downloading an app on their phone for responding to EMAs and GPS tracking. Wave 5 only consisted of an online survey and the responding to EMAs with GPS tracking.

The Entrance Survey was collected at the initial in-home visit with adolescent participants and their caregivers. It included a wide range of measures across social, economic, psychological, health, and behavioral domains. Both adolescent and caregiver participants reported on geographic location of and experiences at routine activities (e.g. school, work, church, stores, relative’s house).

The real-time Ecological Momentary Assessment (EMA) surveys were collected via self-administered survey on project-provided smartphones. The study phones also passively collected GPS spatial coordinates during the seven-day EMA collection period. Youth respondents were prompted up to five times a day, and asked to report on their location, network partner presence, risk behaviors such as substance use, mood, surrounding social climate, and sleep patterns.

Waves 1 and 2: A second visit, the Exit Survey, gathered follow-up information about the EMA week. The youth completed an interactive Space-Time Budget with the interviewer to collect detailed activity data on five days – the three most recent weekdays and two weekend days. The processed GPS data results in summarized stationary and travel periods during those five days, along with activity types and network partner presence. Concurrently, caregivers completed a self-administered survey about perceptions of social climate and safety in their neighborhood and at other routine locations.

Waves 3 and 6: The second visit at the conclusion of the week of GPS tracking and EMA sampling was conducted at the Ohio State Center for Cognitive and Behavioral Brain Imaging. Participants completed an initial battery of questionnaires before scanning as well as had the option of providing a hair sample for cortisol or substance use measurement and blood sample for measurement of immune related markers. Participants also completed questionnaires after the scan.

Participants 309 youths participated in the initial home interviews in Wave 3. 290 of these youths came to the imaging center and 271 adolescents were successfully scanned. Of these 271, 158 were in Wave 1 of the AHDC study, while 113 were part of the refresher sample and were thus new to Wave 3.

For Wave 6, there were 144 individuals who came to the imaging center and 120 were successfully scanned. Of these, 110 were also scanned at wave 3, while 10 of these were individuals who were scanned for the first time.

MRI Tasks In the first wave of imaging data (2018 to 2020; Wave 3 of the AHDC parent study), the task sequence was the same for all youths. The time of each run is listed after each and then in parentheses is the number of subjects after quality control checks (e.g. motion). 1. MPRAGE: 6:58 min (n = 249) 2. T2: 3:36 min 3. Resting State Scan (eyes open, rest): 5 min 4. Emotional Faces Task (Surprise, Angry, Fear, Neutral): 4:30 min x 2 runs (n = 214) 5. Cue Reactivity Task (Food, Marijuana, Flavored E-Cigs, Alcohol, and Outdoor images): 5:40 min x 2 runs (n = 215) 6. DTI: 6:55 min 7. Resting State Scan (eyes open, rest): 5 min 8. Field Map: 1:33 min 9. Monetary Incentive Delay Task: 5:23 min x 2 runs (n = 207) 10. Working Memory Task: 4:51 min x 2 runs (n = 183) These latter two tasks used the same Eprime script as used in the ABCD study.

In the second imaging wave run between 2022 and 2024 (Wave 6 overall), there was a slight change to the task order for all participants in order to reduce the probability of youths falling asleep during the first resting state scan. The scan order for the second wave of imaging data was T1, T2, Emotional Faces Task, Cue Reactivity, Resting State 1, MID, Resting State 2, Field Map, Nback task.

Caution This dataset is for research purposes only. The data have been anonymized, and users must not perform analyses aimed at re-identifying individual subjects.

Acknowledgements. We are grateful to all of the youth and their caregivers who participated in the study. The Adolescent Health and Development in Context study (Waves 1 and 2) was funded by the National Institutes for Drug Abuse (R01DA032371; Browning, PI) as well as the Eunice Kennedy Shriver National Institute on Child Health and Human Development (Boettner, R03HD096182; Calder, R01HD088545; Hayford, the Ohio State University Institute for Population Research, 2P2CHD058484), and the William T. Grant Foundation). Participants for the imaging data (Waves 3 and 6) were recruited from this sample, which was generously supported by a grant from the National Institutes of Drug Abuse (R01DA042080; Way, PI). There were two waves of data collected during COVID (Waves 4 and 5) that were funded by a supplemental grant from the National Institutes of Drug Abuse (DA042080-03S1; Way, PI). Assay of head hair samples for cortisol during the imaging waves (Waves 3 and 6) was funded by a grant from the John Templeton Foundation (ID: 61803; Way, PI). Head hair cortisol and salivary cortisol collection and assays for Waves 1 and 2 were funded by R21DA034960 (Ford, PI).

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

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 Unit (PSU)s 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 t

Ten to Men: The Australian Longitudinal Study on Male Health was commissioned by the Department of Health and Aged Care following the 2010 National Male Health Policy, and currently serves the National Men’s Health Strategy 2020-2030. This is Australia’s first national longitudinal study that focuses exclusively on male health and wellbeing. The cohort was recruited using a stratified, multi-stage & cluster sampling design to select males aged 10–55 years. Recruitment of eligible participants and Wave 1 of the data collection occurred between October 2013 and July 2014, resulting in a reconciled sample size of 16,021. The survey content was structured around six key research domains relevant to male health: wellbeing and mental health, use of health services, health-related behaviours, health status, health knowledge and social determinants. Wave 2 of the data collection occurred between November 2015 and May 2016. The sample size for Wave 2 was 11,936. The Wave 2 questionnaires largely retained Wave 1 items to obtain repeat longitudinal measures. New items added included additional questions on relationships, mental health, health literacy, help-seeking and resilience. Release 2.1 comprised of updated Wave 1 and Wave 2 datasets. These datasets have undergone changes to previous releases, including the renaming of variables, confidentialisation and other modifications. Release 2.1 offers General Release and Restricted Release. Wave 3 of the data collection occurred between July 2020 and February 2021. The sample size for Wave 3 was 7,919. The Wave 3 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on gambling, use of e-cigarettes, illicit drug use, gender identity, generalised anxiety, relationship quality, individual income, COVID-19 impact and natural disaster impact. Release 3.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Wave 4 of the data collection occurred between August 2022 and December 2022. The sample size for Wave 4 was 7,050. The Wave 4 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on health conditions, masculinity, fathering ethnicity, gender & sexuality, intimidate partner violence, and injuries. Release 4.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Release 4.0.1 is the most recent data release and offers updates to all waves of the General Release and Restricted Release datasets as explained in Change Log Registry.

A dataset of a longitudinal study of over 3,000 Mexican-Americans aged 65 or over living in five southwestern states. The objective is to describe the physical and mental health of the study group and link them to key social variables (e.g., social support, health behavior, acculturation, migration). To the extent possible, the study was modeled after the existing EPESE studies, especially the Duke EPESE, which included a large sample if African-Americans. Unlike the other EPESE studies that were restricted to small geographic areas, the Hispanic EPESE aimed at obtaining a representative sample of community-dwelling Mexican-American elderly residing in Texas, New Mexico, Arizona, Colorado, and California. Approximately 85% of Mexican-American elderly reside in these states and data were obtained that are generalizable to roughly 500,000 older people. The final sample of 3,050 subjects at baseline is comparable to those of the other EPESE studies. Data Availability: Waves I to IV are available through the National Archive of Computerized Data on Aging (NACDA), ICPSR. Also available through NACDA is the ����??Resource Book of the Hispanic Established Populations for the Epidemiologic Studies of the Elderly����?? which offers a thorough review of the data and its applications. All subjects aged 75 or older were interviewed for Wave V and 902 new subjects were added. Hemoglobin A1c test kits were provided to subjects who self-reported diabetes. Approximately 270 of the kits were returned for analyses. Wave V data are being validated and reviewed. A tentative timeline for the archiving of Wave V data is November 2006. Wave VI interviewing and data collection is scheduled to begin in Fall 2006. * Dates of Study: 1993-2006 * Study Features: Longitudinal, Minority oversamples, Anthropometric Measures * Sample Size: ** 1993-4: 3,050 (Wave I) ** 1995-6: 2,438 (Wave II) ** 1998-9: 1,980 (Wave III) ** 2000-1: 1,682 (Wave IV) ** 2004-5: 2,073 (Wave V) ** 2006-7: (Wave VI) Links: * ICPSR Wave 1: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/2851 * ICPSR Wave 2: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/3385 * ICPSR Wave 3: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4102 * ICPSR Wave 4: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4314 * ICPSR Wave 5: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/25041 * ICPSR Wave 6: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/29654

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 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 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. 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. Dataset 0001 (DS0001) contains the data from the Public-Use File Master Linkage File (PUF-MLF). This file contains 93 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 198 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.

Youth data for the fourth wave of the National Youth Survey
are contained in this data collection. The first wave of this survey
was conducted in 1976, the second wave in 1977, and the third wave in 1978. Data are available in
this wave on the demographic and socioeconomic status of respondents,
disruptive events in the home, youth aspirations and expectations,
social isolation, normlessness, perceived disapproval by parents and
peers, attitudes toward deviance, exposure and commitment to delinquent
peers, sex roles, interpersonal violence, pressure for substance abuse
by peers, self-reported delinquency, drug and alcohol use, and
victimization.This study has 1 Data Set.

SHARE - Survey of Health, Ageing and Retirement in Europe - is a multidisciplinary and cross-national panel database. It provides micro data on health, socio-economic status and social and family networks of thousands individuals aged 50 or over and their (younger) partners. The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth.

Copyright © Survey of Health, Ageing and Retirement in Europe (SHARE) 2012

When using data from this dataset, please cite the dataset as follows: Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 4. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w4.800

Please also cite the following publications in addition to the SHARE acknowledgement: - Börsch-Supan A., M. Brandt , H. Litwin and G. Weber (Eds). (2013). Active ageing and solidarity between generations in Europe: First results from SHARE after the economic crisis. Berlin: De Gruyter. - Malter, F., Börsch-Supan, A.(Eds.) (2013). SHARE Wave 4: Innovations & Methodology. Munich: MEA, Max Planck Institute for Social Law and Social Policy. - Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S., Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088.

Abstract copyright UK Data Service and data collection copyright owner.

The English Longitudinal Study of Ageing (ELSA) study is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. The main objectives of ELSA are to:

• construct waves of accessible and well-documented panel data;
• provide these data in a convenient and timely fashion to the scientific and policy research community;
• describe health trajectories, disability and healthy life expectancy in a representative sample of the English population aged 50 and over;
• examine the relationship between economic position and health;
• nvestigate the determinants of economic position in older age;
• describe the timing of retirement and post-retirement labour market activity; and
• understand the relationships between social support, household structure and the transfer of assets.

Further information may be found on the the ELSA project website or the Natcen Social Research: ELSA web pages.

Health conditions research with ELSA - June 2021

The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please contact the ELSA Data team at NatCen on elsadata@natcen.ac.uk for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple sclerosis or motor neurone disease).

Special Licence Data:

Special Licence Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence (see 'Access' section below). Users are advised to obtain the latest edition of SN 5050 (the End User Licence version) before making an application for Special Licence data, to see whether that is suitable for their needs. A separate application must be made for each Special Licence study.

Special Licence Access versions of ELSA include:

• Primary data from Wave 8 onwards (SN 8346) includes all the variables in the EUL primary dataset (SN 5050) as well as year and month of birth, consolidated ethnicity and country of birth, marital status, and more detailed medical history variables.
• Wave 8 Pension Age Data (SN 8375) includes all the variables in the EUL pension age data (SN 5050) as well as year and age reached state pension age variables.
• Wave 8 Sexual Self-Completion Data (SN 8376) includes sensitive variables from the sexual self-completion questionnaire.
• Wave 3 (2007) Harmonized Life History (SN 8831) includes retrospective information on previous histories, specifically, detailed data on previous partnership, children, residential, health, and work histories.
• Detailed geographical identifier files for Waves 1-10 which are grouped by identifier held under SN 8429 (Local Authority District Pre-2009 Boundaries), SN 8439 (Local Authority District Post-2009 Boundaries), SN 8430 (Local Authority Type Pre-2009 Boundaries), SN 8441 (Local Authority Type Post-2009 Boundaries), SN 8431 (Quintile Index of Multiple Deprivation Score), SN 8432 (Quintile Population Density for Postcode Sectors), SN 8433 (Census 2001 Rural-Urban Indicators), SN 8437 (Census 2011 Rural-Urban Indicators).

Where boundary changes have occurred, the geographic identifier has been split into two separate studies to reduce the risk of disclosure. Users are also only allowed one version of each identifier:

• either SN 8429 (Local Authority District Pre-2009 Boundaries) or SN 8439 (Local Authority District Post-2009 Boundaries)
• either SN 8430 (Local Authority Type Pre-2009 Boundaries) or SN 8441(Local Authority Type Post-2009 Boundaries)
• either SN 8433 (Census 2001 Rural-Urban Indicators) or SN 8437 (Census 2011 Rural-Urban Indicators)

ELSA Wave 6 and Wave 8 Self-Completion Questionnaires included an open-ended question where respondents could add any other comments they may wish to note down. These responses have been transcribed and anonymised. Researchers can request access to these transcribed responses for research purposes by contacting the...

This dataset contains the do files for replicating the analyses in “Peers’ race in adolescence and voting behavior”. The paper uses data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available from the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from grant P01-HD31921 for this analysis. In order to (purchase the access to) the data, you need to contact the Carolina Population Center: http://www.cpc.unc.edu/projects/addhealth. While part of the data is accessible for free, in the paper we make use of restricted access data. We use the In-Home and In-School surveys for Wave 1 and the surveys in Waves III and IV. We also use the following additional data: from Wave I - School Network, Friend Files, School Distance Measures, and School Administrator Questionnaire; from Waves I and III - Contextual Files, Political Files; from Waves I, III and IV: Weight Files.

The NeuroVERSE record contains the following files: ALSFocusWave4_DataDictionary.xlsx – This is the data dictionary for surveys fielded in ALS Focus Wave 4. ALSFocusWave4_Telehealth.csv – This file contains responses to the Telehealth survey for people with ALS and current caregivers. This survey was available in Wave 4. This file contains a new ‘dyad’ variable indicating which people with ALS and caregiver participants are linked. ALSFocusWave4_Demographics.csv – This file contains responses to the Demographics survey since ALS Focus launched in February 2020. This file contains a new ‘dyad’ variable indicating which people with ALS and caregiver participants are linked. ALSFocusWave4_ALSFRSandVC.csv – This data file contains responses to questions on ALSFRS-R and Vital Capacity scores since Wave 1. Starting in Wave 2, participants with ALS could answer these questions on a repeated basis, but not more than once per calendar day. ALSFocusWave4_HealthStatus.csv – This data file contains responses to the Health Status survey since Wave 2 when the Health Status survey opened. Participants with ALS could answer these questions on a repeated basis, but not more than once per calendar day.

Abstract (en): The purpose of this data collection was to provide an appropriate theoretical and empirical approach to concepts, measures, and methods in the study of Black Americans. Developed with input from social scientists, students, and a national advisory panel of Black scholars, the survey investigates neighborhood-community integration, services, crime and community contact, the role of religion and the church, physical and mental health, self-esteem, life satisfaction, employment, the effects of chronic unemployment, the effects of race on the job, interaction with family and friends, racial attitudes, race identity, group stereotypes, and race ideology. Demographic variables include education, marital status, income, employment status, occupation, and political behavior and affiliation. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Black United States citizens 18 years of age or older. National multistage probability sample. The sample is self-weighting. Every Black American household in the continental United States had an equal probability of being selected. Wave 1 was administered to 2,107 respondents, Wave 2 to 951 respondents (including 935 from Wave 1), Wave 3 to 793 respondents (including 779 from Wave 2), and Wave 4 to 659 respondents (including 1 from Wave 1, 28 from Wave 2, and 623 from Wave 3). 1997-11-13 The SAS and SPSS data definition statements have been reissued, and the codebook is being released as a PDF file. PDF questionnaires for Waves 1-4 also have been added to the collection. The Crosswave Variable Listing is now machine-readable and is part of the PDF codebook. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute of Mental Health. (1) Data for Wave 1 of this study supersede the data released in NATIONAL SURVEY OF BLACK AMERICANS, 1979-1980 (ICPSR 8512). (2) Users should note that data for the "state and county" codes (Variables 1405, 1407, and 1410) were entered in COUNTY/STATE order and not STATE/COUNTY order, i.e., the first three digits are the county code and the last two digits are the state code. This is the reverse of how Note 3 of the codebook describes the interpretation of these variables. (3) Variables for Wave 2 begin at V3001, Wave 3 begins at V4001, and Wave 4 begins at V5001. (4) The codebook and questionnaires are provided as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.