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The data producers have recompiled the ACTIVE data into a new study which is available as of December 2023, ICPSR 38821; data users should plan to use study 38821 instead.

ACTIVE (Advanced Cognitive Training for Independent and Vital Elderly), 1999-2008 was a multisite randomized controlled trial conducted at six field sites with New England Research Institutes (NERI) as the coordinating center. The field sites included the University of Alabama at Birmingham, Hebrew Senior Life (formerly Hebrew Rehabilitation Center for the Aged) in Boston, Indiana University, Johns Hopkins University in Baltimore, Pennsylvania State University, and Wayne State University (Detroit). Data in this study are drawn from measures of cognitively demanding daily activities performed by participants who received a variety of cognitive interventions. Measures included both cognitive functioning (memory, inductive reasoning, speed processing, and general knowledge) and daily functioning (everyday problem solving, observations of daily living, complex reaction time, and general functional ability). Secondary to these measures, the study also includes data on health care and service utilization, driving habits, and mobility. Data were collected at the start of the study (baseline) as well as one, two, three, five, and ten years into the study. This collection includes the data from the tenth year of the study as well as a comprehensive analytical dataset, incorporating data from the previous collections (data from previous waves of the study as well as participant demographic data can be found in ICPSR 4248). A total of 2,832 older adults were enrolled in the trial, and 2,802 were included in the analytical sample. Twenty-six percent of the participants were African American.

ACTIVE (Advanced Cognitive Training for Independent and Vital Elderly) was a multisite randomized controlled trial conducted at six field sites with New England Research Institutes (NERI) as the coordinating center. The field sites included the University of Alabama at Birmingham, Hebrew Senior Life (formerly Hebrew Rehabilitation Center for the Aged) in Boston, Indiana University, Johns Hopkins University in Baltimore, Pennsylvania State University, and Wayne State University (Detroit). Data in this study are drawn from measures of cognitively demanding daily activities performed by participants who received a variety of cognitive interventions. Measures included both cognitive functioning (memory, inductive reasoning, speed processing, and general knowledge) and daily functioning (everyday problem solving, observations of daily living, complex reaction time, and general functional ability). Secondary to these measures, the study also includes data on health care and service utilization, driving habits, and mobility. Data were collected at the start of the study (baseline) as well as one, two, three, five, and ten years into the study.

This collection integrates data from two previous collections (ICPSR 4248 and ICPSR 36036) and fills in gaps that existed in these two collections. In addition, this collection features composite scores for constructs like memory, reasoning speed, Short Form Health Survey (SF-36), Social Determinants of Health (SDOH), as well as data from the National Death Index and state driving records.

Please read the collection notes for important analysis details.

The Arizona Working and Living in Prison (AZWLP) project examined the impact of living and working in restrictive status housing, with a particular focus on the impact of restrictive housing on prisoner and staff well-being. The prisoner data represents three waves of data: baseline (within 3 weeks of placement in permanent housing), six months, and twelve months across medium, close, and maximum security custody levels. The critical measure of well-being is the Symptom Checklist-90 Revised (SCL-90-R). Prisoners were assessed at all three time points to determine whether placement in maximum custody impacted well-being as compared to placements in close or medium custody.

The staff data represents cross-sectional data of staff working in medium, close, and maximum security custody levels and asked staff to report on the emotional and physical impacts of the job, psychosomatic symptoms, organizational commitment, and social support.

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).

The Costa Rican Longevity and Healthy Aging Study (CRELES, or Costa Rica Estudio de Longevidad y Envejecimiento Saludable) is a nationally representative longitudinal survey of health and lifecourse experiences of 2,827 Costa Ricans ages 60 and over in 2005, the baseline collection. CRELES-2 refers to the second wave of visits in this longitudinal study, and includes the results from these visits. The first wave of interviews, or baseline, of CRELES is also available at http://doi.org/10.3886/ICPSR26681. The second wave fieldwork was conducted from October 2006 to July 2008, with 2,364 surviving and contacted participants. The original sample was drawn from Costa Rican residents in the 2000 population census who were born in 1945 or before, with an over-sample of the oldest-old (ages 95 and over). Vital statistics indicate that Costa Rica has an unusually high life expectancy for a middle-income country, even higher than that of the United States, but CRELES is the first nationally representative survey to investigate adult health levels in Costa Rica. CRELES public use data files contain information on a broad range of topics including self-reported physical health, psychological health, living conditions, health behaviors, health care utilization, social support, and socioeconomic status. Objective health indicators include anthropometrics, observed mobility, and biomarkers from fasting blood samples (such as cholesterol, glycosylated hemoglobin, and C-reactive protein). Mortality events are tracked and conditions surrounding death are measured in a surviving family interview.

This is a United States nationally representative survey of 4142 respondents age 18 and older from the National Opinion Research Center Amerispeak panel. The study survey includes self rated health, 4 summary measures of health, questions about chronic conditions, and questions about social determinants of health. Basic demographic information is included in this study regarding age, education, race/ethnicity, gender, household size, housing type, household income, marital status, and employment status.

The National Opinion Research Center also provided the latitude and longitude of the participant's household which were used to get census tract level information and scores from walkscore.com (walkability, transportation, and opportunity scores).

Drug-Abuse Treatment Outcomes Study (DATOS) is a prospective study designed to determine the outcomes of adult drug abuse treatment delivered in typical, stable, community-based programs and to provide comprehensive information on continuing and new questions about the effectiveness of drug abuse treatment for adults currently available in a variety of publicly funded and private programs. The study examined the role of treatment outcomes and program type, client characteristics (including dependence, treatment history, and physical and mental health comorbidities), treatment received (e.g., length and intensity of services provided), therapeutic approaches, provision of aftercare, and research on the components of effective treatment, including factors that engage and retain clients in programs. Four types of programs were included: outpatient methadone (OPM), short-term inpatient (STI), long-term residential (LTR), and outpatient drug-free (ODF). Respondents were sampled from among adults admitted to drug abuse treatment programs in 11 representative U.S. cities during 1991-1993.

Clients entering treatment completed two comprehensive intake interviews (Intake 1 and Intake 2), approximately one week apart. This information is provided in Parts 1 and 2 of the data collection. These interviews were designed to obtain baseline data on drug use and other behaviors, as well as information on background and demographic characteristics, patterns of dependence, living situation and child custody status, education and training, income and expenditures, and HIV risk behaviors, along with assessments of dependence, mental health, physical health, and social functioning. Data on criminal justice status and criminal behavior are reported in Part 5, Illegal Activities Data, and are drawn from the Intake 1 interview. Data reflecting during-treatment progress, including service delivery and client satisfaction, were collected in the one-, three-, and six-month in-treatment interviews (Parts 3, 4, and 8). The 12-Month Post-Treatment Follow-Up Interview (Part 6) replicated many of the intake questions and focused on key behaviors in the year following treatment. Part 7 includes variables for time in treatment and interview availability indicators. The 12-Month Follow-Up Urine Result data (Part 9) provide the results from urine sample tests that were given to a sample of subjects at the time of the 12-Month Follow-Up Interview. Urine specimens were tested for eight categories of drugs (amphetamines, barbiturates, benzodiazepines, cannabinoids, cocaine metabolite, methaqualone, opiates, and phencyclidine). The drugs covered in the study were alcohol, tobacco, marijuana (hashish, THC), hallucinogens or psychedelics such as LSD, mescaline, and PCP, cocaine (including crack), heroin, narcotics or opiates such as morphine, codeine, Demerol, Dilaudid, and Talwin, downers or depressants such as sedatives, barbiturates, and tranquilizers, amphetamines or other stimulants such as speed or diet pills, and other drugs. Part 10 contains data for 1393 clients who were interviewed 5 years post treatment. This part contains many of the same types of questions asked during previous interviews.

The purpose of the Early Years of Marriage (EYM) Project was to determine ways in which the early development of marriage for Black couples and White couples affect the mental and physical health of spouses, marital stability, long-term marital outcomes, patterns of family life and, for those who divorce, individual adjustment to family disruption. The EYM Project began in 1986 with 373 newlywed couples--174 White couples and 199 Black couples. The marriages were all intra-racial and it was the first marriage for both spouses.

Year 1 interviews, which queried the couples on various aspects of married life, began after four to nine months into the marriage. Very few respondents who originally participated in Year 1 of the study refused to participate in subsequent phases of the study. In 1986 (Year 1) and 1988 (Year 3) spouses were interviewed in their homes separately and together, with the interviews conducted by interviewers of the same race. In 1987 (Year 2) and 1989 (Year 4) shorter individual telephone interviews were conducted.

In all four years, respondents were queried on a wide variety of topics such as feelings and perceptions of their own family, spouse, in-laws, and their spouse's friends, family planning, how many children they should have, how the children should be reared, childcare, and household roles and responsibilities. A series of questions was asked about reasons for getting married, how satisfying married life was, what, if any, were the special pleasures and good feelings that came from being married, how often arguments and disagreements occurred, main reasons for arguments, and how they were eventually resolved. A series of questions were also asked regarding the mental and physical health of the spouse, job satisfaction, job security, and how the job affected the family. In Year 2 and Year 4 interviews (Parts 2-4), a series of questions regarding separation and divorce were also asked.

Demographic variables include race, gender, age, level of education, occupation, income, and religious preference.

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 sought to: (1) document the spectrum of injuries and injury characteristics observed among physically-abused older adults reported to Adult Protective Services (APS) and compare those findings to injuries found among non-abused older adults, (2) identify observable injury characteristics and abuse circumstances that healthcare providers, law enforcement and prosecutors consider to be key forensic markers of physical abuse, (3) document information and evidence integral for achieving successful criminal prosecution, and (4) describe approaches that community-based frontline workers can employ to better document evidence of physical abuse.

The data included in this collection were collected under a National Institute of Justice-funded project that sought to document the spectrum and characteristics of injuries observed among physically abused, community-dwelling APS clients.

The collection includes two SAS datasets: injury.sas7bdat (with 47 variables and 403 cases) and subjectleveldata.sas7bdat (with 122 variables and 165 cases); and three SAS System Program Files: analysis-code-v1.sas, cleaned-injury-datasets-v1.sas, and formats.sas. Demographic variables in the collection are in the subjectleveldata.sas7bdat dataset, and include age, year of birth, gender, race, language, and level of education.

The Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) study is a population-based survey that aims to examine and characterize a population of older men and women in rural South Africa with respect to health, physical and cognitive function, aging, and well-being, in harmonization with other Health and Retirement Studies.

The baseline survey was conducted among 5,059 men and women aged 40 years or older, who were sampled from within the existing framework of the Agincourt health and socio-demographic surveillance system (AHDSS), in rural Mpumalanga province, South Africa. Survey data were collected on cognitive and physical functioning, social networks, cardiometabolic disease and risk factors, HIV and HIV risk, and economic well-being. The survey also included anthropometric measures and point-of-care blood tests for hemoglobin, glucose and lipids. Dried bloodspots (DBS) were collected at the survey and later tested for HIV, HIV viral load, glucose and CRP. A sub-sample had more extensive laboratory follow-up testing, which will be available in future data releases. A second wave of the survey was administered in 2018 through 2019, and a third wave of the survey was administered in 2021 through 2022.

Demographic information includes age, sex, income, education, marital status, number of children, and employment.

Harvard dataverse hosts an additional restricted-use dataset which compliments this collection, the HAALSI Baseline HIV Biomarker Data; users interested in obtaining these data must request access based on the terms outlined in the data use agreement.

The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America, supported by the National Institute on Aging and the Social Security Administration.

The HRS aims to provide multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. The HRS includes the "original" HRS and the Asset and Health Dynamics Among the Oldest-Old (AHEAD) study. These studies were merged in 1998 and now represent the United States population over age 50. Two new cohorts were added in 1998: the Children of the Depression (born 1924-1930) and the War Babies (1942-1947). A fourth cohort, the Early Baby Boomers (1948-1953), was added in 2004; a fifth cohort, the Mid Baby Boomers (1954-1959), was added in 2010; and in 2016, the Late Baby Boomers cohort (1960-1965) became the sixth.

Questionnaire topics include physical and cognitive functioning, retirement plans, family structure and transfers, demographic characteristics, housing, employment status, income, disability, health insurance, pension plans, job history, and attitudes, preferences, and expectations for the future. The survey data are linked with administrative records from the Employer Pension Study (1993 and 1999), National Death Index, Social Security Administration earnings and projected benefits data and W-2 self-employment data, and Medicare files.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on independent national surveys of school-aged children in more than 40 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The data available here are from the results of the United States survey conducted during the 2009-2010 school year. The files contain data on 12,642 students from 314 participating schools. Of the 314 participating schools a school administrator questionnaire was completed by 283 of them. The study results can be used as stand-alone data, or to compare with the other countries involved in the international HBSC.

The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background data and to identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information in order to understand and explain the development of health attitudes and behaviors through early adolescence.

The study contains questions dealing with many types of drugs such as tobacco, alcohol, marijuana, and other substances. Other topics include questions about family composition, the student's physical health, and other health behaviors and attitudes. Some of these topics include eating habits, dieting, physical activity, body image, health problems, and bullying. A school administrator also completed a survey concerning the school's programs and policies that affect students' health and the content of various health courses.

The Longitudinal Study of Older People in Anhui Province, China, 2001-2003 examined the physical and psychological well-being of older adults (aged 60 and above) living in rural Anhui Province, China. The original purpose of the study was to study the impact of rural-to-urban migration on the physical and psychological well-being of older adults left behind in rural villages by their adult children.

This collection contains two parts; Part 1: 2001 Survey and Part 2: 2003 Follow-up Survey. Similar Questions were asked in the two surveys to assess intergenerational transfers and relations of the respondents, including social support, caregiving, emotional cohesion, remittances, grandchild care, and filial piety. Respondents were also asked about their health status (physical, emotional, and cognitive). Demographic information includes age, sex, marriage status, and education.

The Biomarker study is Project 4 of the Midlife in the United States (MIDUS) longitudinal study, a national survey of more than 7,000 Americans (aged 25 to 74) begun in 1994. The purpose of the larger study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. With support from the National Institute on Aging (NIA), a longitudinal follow-up of the original MIDUS samples [core sample (N = 3,487), metropolitan over-samples (N = 757), twins (N = 957 pairs), and siblings (N = 950)] was conducted in 2004-2006. Guiding hypotheses, at the most general level, were that behavioral and psychosocial factors are consequential for health (physical and mental). A description of the study and findings from it are available on the MIDUS website.

The Biomarker Project (Project 4) of MIDUS 2 contains data from 1,255 respondents. These respondents include two distinct subsamples, all of whom completed the Project 1 Survey: (1) longitudinal survey sample (n = 1,054) and (2) Milwaukee sample (n = 201). The Milwaukee group contained individuals who participated in the baseline MIDUS Milwaukee study, initiated in 2005. The purpose of the Biomarker Project (Project 4) was to add comprehensive biological assessments on a subsample of MIDUS respondents, thus facilitating analyses that integrate behavioral and psychosocial factors with biology. The broad aim is to identify biopsychosocial pathways that contribute to diverse health outcomes. A further theme is to investigate protective roles that behavioral and psychosocial factors have in delaying morbidity and mortality, or in fostering resilience and recovery from health challenges once they occur. The research was not disease-specific, given that psychosocial factors have relevance across multiple health endpoints.

Biomarker data collection was carried out at three General Clinical Research Centers (at UCLA, University of Wisconsin, and Georgetown University). The biomarkers reflect functioning of the hypothalamic-pituitary-adrenal axis, the autonomic nervous system, the immune system, cardiovascular system, musculoskeletal system, antioxidants, and metabolic processes. Our specimens (fasting blood draw, 12-hour urine, saliva) allow for assessment of multiple indicators within these major systems. The protocol also included assessments by clinicians or trained staff, including vital signs, morphology, functional capacities, bone densitometry, medication usage, and a physical exam. Project staff obtained indicators of heart-rate variability, beat to beat blood pressure, respiration, and salivary cortisol assessments during an experimental protocol that included both a cognitive and orthostatic challenge. Finally, to augment the self-reported data collected in Project 1, participants completed a medical history, self-administered questionnaire, and self-reported sleep assessments. For respondents at one site (UW-Madison), objective sleep assessments were also obtained with an Actiwatch(R) activity monitor.

The MIDUS Refresher study Survey (2011-2014 ICPSR 36532) recruited a national probability sample of 3,577 adults, aged 25 to 74, designed to replenish the original MIDUS 1 baseline cohort and paralleling the five decadal age groups of the MIDUS 1 baseline survey (ICPSR 2760). The MIDUS Refresher survey employed the same comprehensive assessments as those assembled on the core longitudinal MIDUS sample, but with additional questions about impacts of the economic recession of 2008-09. The MIDUS Refresher Biomarker study (2012-2016) obtained data from 863 respondents (n=746 Main sample, n=117 African Americans from Milwaukee) who completed the MIDUS Refresher Survey.

The purpose of the Refresher Biomarker Project (Project 4) parallels that of the MIDUS 2 Biomarker project (ICPSR 29282), which collected comprehensive biological assessments on a subsample of MIDUS respondents, thus facilitating analyses that integrate behavioral and psychosocial factors with biological regulation/dysregulation, broadly defined. The aim was to use such data to explicate biopsychosocial pathways that contributed to diverse health outcomes. A further theme was to examine period effects on health (mental and physical) related to the economic recession by comparing the pre-recession MIDUS sample with the post-recession MIDUS Refresher sample. A further objective of the MIDUS Refresher sample was to strengthen cross-project analyses by increasing the sample sizes available for testing hypotheses regarding the interplay of key factors (e.g., socioeconomic status, gender, psychosocial factors, biological factors) in mid- and later-life health.

Biomarker data collection was carried out at hypothalamic-pituitary-adrenal axis, the autonomic nervous system, the immune system, cardiovascular system, musculoskeletal system, antioxidants, and three General Clinical Research Centers (at UCLA, University of Wisconsin, and Georgetown University). The biomarkers reflect functioning of the metabolic processes. Our specimens (fasting blood draw, 12-hour urine, saliva) allowed for assessment of multiple indicators within these major systems. The protocol also included assessments by clinicians or trained staff, including vital signs, morphology, functional capacities including 3 dimensional gait analysis, bone densitometry, body composition, ankle brachial index, medication usage, and a physical exam. Project staff obtained indicators of heart-rate variability, beat to beat blood pressure, respiration, and salivary cortisol assessments during an experimental protocol that included both a cognitive and orthostatic challenge. Finally, to augment the self-reported data collected in Survey (Project 1), participants completed a medical history, self-administered questionnaire, and self-reported sleep assessments. For respondents at one site (UW-Madison), objective sleep assessments were also obtained with an Actiwatch(R) activity monitor.

The National Health and Aging Trends Study (NHATS) began in 2011 and fosters research to guide efforts to reduce disability, maximize health and independent functioning, and enhance quality of life at older ages. NHATS aims to provide the basis for understanding trends in late-life functioning, how these differ for various population subgroups, and the economic and social consequences of aging and disability for individuals, families, and society.

NHATS gathers information on a nationally representative sample of Medicare beneficiaries ages 65 and older. The sample is refreshed periodically so that researchers may study national-level disability trends as well as individual trajectories. Annual, in-person interviews collect detailed information on the disablement process and its consequences.

The NHATS interview is guided by a conceptual framework that recognizes physical and cognitive capacity is distinct from the environment in which activities take place. Among the specific content areas included are: the physical, social, technological and service environment, physical and cognitive capacity, use of assistive devices and rehabilitation, help received with daily activities (self-care, household, and medical), participation in valued activities, and wellbeing. A last month of life interview focuses on quality of end of life care. Periodically caregivers of NHATS respondents are interviewed in the supplemental National Study of Caregiving (NSOC). Linkages to Medicare records are also available.

Content was developed by a multidisciplinary team of researchers from the fields of demography, geriatric medicine, epidemiology, health services research, economics, and gerontology. NHATS is being led by the Johns Hopkins University Bloomberg School of Public Health in collaboration with the University of Michigan, with data collection by Westat, and support from the National Institute on Aging.

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.

This survey was conducted as part of the New Jersey Childhood Obesity Study, a project designed to provide vital information for planning, implementing, and evaluating interventions aimed at preventing childhood obesity in five New Jersey municipalities: Camden, Newark, New Brunswick, Trenton, and Vineland. Conducted among households with 3-18 year old children in the 5 cities, the survey interviewed the adult who made most of the decisions about food shopping in each household. The survey examined perceptions about food and physical activity environments in the five cities, investigated barriers related to access to healthy food and physical activity facilities, and collected information on the height and weight and food and physical activity behaviors of the cities' 3-18 year old children and the adult respondents. In addition, the survey collected demographic information about the household members.

Four linkable datasets contain the survey data: the Household File, Index Child File, Adult File, and All Child File. The Household File covers household and neighborhood characteristics, while the Index Child File describes the characteristics and behaviors of a randomly selected 3-18 year old child in the household, who is designated the "index child" and is the primary unit of analysis. The Adult File comprises characteristics and behaviors of the adult respondent, and, lastly, the All Child File covers a few characteristics of all children aged 3-18 in the household.

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.