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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 Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons.

In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17).

The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below.

The Sacramento Area Latino Study on Aging (SALSA Study) project tracked the incidence of physical and cognitive impairment as well as dementia and cardiovascular diseases in elderly Latinos in the Sacramento, California, region. The SALSA project aimed to assess cognitive, physical and social functions, which include the ability to follow instructions, to perform certain movements, and to interact with others. The study explored the effects that cultural, nutritional, social and cardiovascular risk factors have on overall health and dementia, and examined the association between diabetes and functional status. Demographic information includes age given at follow-up visits, country of birth, language, religion, marital status, educational level, occupation, household income, and size of household.

This study contains demographic variables for the the Sacramento Area Latino Study on Aging (SALSA) Series and can be used with ICPSR studies 22760, 29321, 29322, 29323. Demographic variables include gender, primary language, country of origin, state of birth, cause of death, 2000 census tract codes, birth date, date of death, and age given at follow-up visits.

About SALSA: The Sacramento Area Latino Study on Aging (SALSA Study) project tracked the incidence of physical and cognitive impairment as well as dementia and cardiovascular diseases in elderly Latinos in the Sacramento, California, region. The SALSA project aimed to assess cognitive, physical, and social functions, which include the ability to follow instructions, to perform certain movements, and to interact with others. The study explored the effects that cultural, nutritional, social, and cardiovascular risk factors have on overall health and dementia, and examined the association between diabetes and functional status.

The Sacramento Area Latino Study on Aging (SALSA Study) project tracked the incidence of physical and cognitive impairment as well as dementia and cardiovascular diseases in elderly Latinos in the Sacramento, California, region. The SALSA project aimed to assess cognitive, physical, and social functions, which include the ability to follow instructions, to perform certain movements, and to interact with others. The study explored the effects that cultural, nutritional, social, and cardiovascular risk factors have on overall health and dementia, and examined the association between diabetes and functional status. This study contains the neuroclinical exam data from the SALSA project. Demographic information includes age given at follow-up visits, country of birth, language, religion, marital status, educational level, occupation, household income, and size of household.

The Sacramento Area Latino Study on Aging (SALSA Study) was a longitudinal cohort study of 1,789 community-dwelling Mexican Americans residing in California's Sacramento Valley who were aged 60-101 years at baseline in 1998-1999. Participants were followed every 12-15 months via home visits that included clinical and cognitive assessments. A semiannual phone call was made to obtain updates on medications, health events, and some sociodemographic risk factors. This study, Semi-Annual Phone Call Data, contains data from the six-month follow-up calls of the SALSA project.

The SALSA project tracked the incidence of physical and cognitive impairment as well as dementia and cardiovascular diseases in elderly Latinos in the Sacramento, California region. The SALSA project aimed to assess cognitive, physical, and social functions, which include the ability to follow instructions, to perform certain movements, and to interact with others. The project explored the effects that cultural, nutritional, social, and cardiovascular risk factors have on overall health and dementia, and examined the association between diabetes and functional status.

Demographic information collected in these data includes language and age given at follow-up visits.

The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan, 2000 and 2006, provides information regarding the health and well-being of older persons in Taiwan. Taiwan has undergone rapid demographic, social, and economic changes, becoming a highly urbanized and industrial society with a growing population of persons age 65 or older. SEBAS explores the relationship between life challenges and mental and physical health, the impact of social environment on the health and well-being of the elderly, as well as biological markers of health and stress. The study collected self-reports of physical, psychological, and social well-being, plus extensive clinical data based on medical examinations and laboratory analyses. Examination of health outcomes included chronic illnesses, functional status, psychological well-being, and cognitive function. Questions regarding life challenges focused on perceived stress, economic difficulties, security and safety, and the consequences of a major earthquake. Biological markers were used to identify cardiovascular risk factors, metabolic process measures, immune-system activity, the hypothalamic-pituitary adrenal axis, and sympathetic nervous system activity. Two rounds of biomarker data collected in 2000 and 2006 were complemented by face-to-face interviews with the participants. Demographic and background variables included age, sex, education, ethnicity, occupation, and residency.

Additional information about the Social Environment and Biomarkers of Aging Study can be found at the Georgetown University Center for Populations and Health Web site.

A Webinar describing the Social Environment and Biomarkers of Aging Study (SEBAS) was presented June 20, 2016. All interested users can access the webinar here.

The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national database of micro data on health, socio-economic status and social and family networks of individuals aged 50 or over which was designed after the role models of the United States Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA).

SHARE-Israel was added to the collection during 2005 and 2006 and required a complex adaptation of the SHARE survey instruments for implementation in Israel. In order to access the three major population groups that make up Israeli society, veteran Jewish-Israelis, Arab-Israelis and new immigrants from the former Soviet Union after 1989, it was necessary to translate the CAPI questionnaire and the drop off questionnaire into Hebrew, Arabic and Russian.

Data collected include health variables (e.g., self-reported health, physical functioning, cognitive functioning, health behavior, use of health care facilities), psychological variables (e.g., psychological health, well-being, life satisfaction), economic variables such as (current work activity, job characteristics, opportunities to work past retirement age, sources and composition of current income, wealth and consumption, housing, education), and social support variables (e.g., assistance within families, transfers of income and assets, social networks, volunteer activities).

Two physical performance measures were also employed. The first was grip strength, the respondent's maximum handgrip strength measured by means of a dynamometer. The second physical performance measure was walking speed, which was asked only of persons aged 75 and older. This physical measurement involved asking the respondent to walk a certain distance and measuring the time it took for the respondent to complete the task.

Unique to SHARE-Israel were questions in the drop-off questionnaire regarding trauma. Respondents were asked about difficult life events that they had experienced and the degree to which they were affected by them. The events were drawn from the following areas (1) having personally suffered injury in war, in a terrorist attack, a grave illness or accident, (2) having witnessed injury or death in war, in a terrorist attack, and/or in an accident or crime, (3) having been a victim of crime, abuse, sexual harassment and/or severe economic adversity, (4) having had a close person injured or lost due to war, a terrorist attack, accident or grave illness, (5) loss of spouse and/or offspring, and (6) having provided or received long term care due to functional disability. A separate inventory chronicled respondents' exposure to the Holocaust.

Also included in the drop-off questionnaire were questions regarding pension reform: which addressed respondents' awareness of the legislated delay in the age of eligibility for retirement pension in Israel, (for men, age 67 and for women, age 64). It also inquired about implications of the change in pension age, information regarding personal plans for employment or retirement in light of the change, and sources of income that would be used to bridge the period between retirement and receipt of pension, if early retirement was contemplated. Full details regarding SHARE can be located at the SHARE Web site.

Formerly titled Marital Instability Over the Life Course (MIOLC -- ICPSR 3812), the Work and Family Life Study (WFLS) is a follow-up to the MIOLC. The MIOLC examined the causes of marital instability throughout the life course, and contains 6 waves of data collected between 1980 and 2000, which were gathered from married respondents who were between the ages of 19 and 55.

The Work and Family Life Study provides data for use in assessing: changes in marital quality between 1980 and 2000; the effects of family-of-origin characteristics and marital history on the physical and psychological health of respondents; and evaluating sample attrition, factors which lead to attrition, and attrition bias.

The WFLS collected new cross-sectional information (Part 2 -- Public Use Cross Section, N = 2,189) on married people 55 years of age and younger, using the same sampling procedures and interview questions that were used in the 1980 wave of the MIOLC. The Work and Family Life Study's Public Use Cross Section is the latest addition to the data collections. This new Public Use Cross Section studies the effects of wives' participation in the labor force on marriage and marital instability.

Also provided in this collection are the Public Use All Waves (Part 1, N = 2,034) and the Public Use Panel Wave 6 (Part 3, N = 1,031). The Public Use All Waves contains information from Waves I through VI, which were collected in 1980, 1983, 1987, 1992-1994, 1997, and 2000. Among the variables included in all six waves are age, sex, educational attainment, marital status and history, attitude toward divorce, number of children, religious affiliation, and income level. The Public Use Panel Wave 6 contains data on persons who only responded to wave 6 of the study.

Unique to this data collection, the Public Use Comparison file (Part 4, N = 11,741) contains information on respondents who would have been between the ages of 19 and 55 in 1980, married, and living with their spouse. These data evaluate potential bias from sample attrition in the panel study. The Comparison Sample is a special purpose sample and does not generalize to a normally defined population of ever married persons.