Aging, Status, and Sense of Control (ASOC), 1995, 1998, 2001 [United States] (ICPSR 3334)
Alameda County [California] Health and Ways of Living Study, 1974 Panel (ICPSR 6838)
Alameda County [California] Health and Ways of Living Study, 1994 and 1995 Panels (ICPSR 3083)
Alameda County [California] Health and Ways of Living Study, 1999 Panel (ICPSR 4432)
Americans' Changing Lives: Waves I, II, III, IV, V, and VI, 1986, 1989, 1994, 2002, 2011, and 2021 (ICPSR 4690)
The Americans' Changing Lives (ACL) survey series is an ongoing, nationally representative, longitudinal study focusing especially on differences between Black and White Americans in middle and late life. These data constitute the first, second, third, fourth, fifth, and sixth waves in a panel survey covering a wide range of sociological, psychological, mental, and physical health items. Wave I of the study began in 1986 with a nation face-to-face survey of 3,617 adults ages 25 and up, with Black Americans and people aged 60 and over over-sampled at twice the rate of the others. Wave II constitutes face-to-face re-interviews in 1989 of those still alive. Survivors have been re-interviewed by telephone, and when necessary face-to-face, in 1994 (Wave III), 2001/02 (Wave IV), 2011 (Wave V), and 2019/21 (Wave VI).
Please note that for Wave VI, the majority of data collection occurred in 2019, with only a small subset (n=39) of participants surveyed in 2021.
ACL was designed and sought to investigate the following: (1) The ways in which a wide range of activities and social relationships that people engage in are broadly "productive," (2) how individuals adapt to acute life events and chronic stresses that threaten the maintenance of health, effective functioning, and productive activity, and (3) sociocultural variations in the nature, meaning, determinants, and consequences of productive activity and relationships. Among the topics covered are interpersonal relationships (spouse/partner, children, parents, friends), sources and levels of satisfaction, social interactions and leisure activities, traumatic life events (physical assault, serious illness, divorce, death of a loved one, financial or legal problems), perceptions of retirement, health behaviors (smoking, alcohol consumption, overweight, rest), and utilization of health care services (doctor visits, hospitalization, nursing home institutionalization, bed days). Also included are measures of physical health, psychological well-being, and indices referring to cognitive functioning.
Demographic information provided for individuals includes household composition, number of children and grandchildren, employment status, occupation and work history, income, family financial situation, religious beliefs and practices, ethnicity, race, education, sex, and region of residence.
Americans View Their Mental Health, 1957 (ICPSR 3503)
Community Tracking Study Household Survey, 1996-1997, and Followback Survey, 1997-1998: [United States] (ICPSR 2524)
Community Tracking Study Household Survey, 1998-1999, and Followback Survey, 1998-2000: [United States] (ICPSR 3199)
Community Tracking Study Household Survey, 2000-2001: [United States] (ICPSR 3764)
Community Tracking Study Household Survey, 2003: [United States] (ICPSR 4216)
CRELES-2: Costa Rican Longevity and Healthy Aging Study - Wave 2, 2006-2008 (Costa Rica Estudio de Longevidad y Envejecimiento Saludable, Ronda 2) (ICPSR 31263)
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.
CRELES-3: Costa Rican Longevity and Healthy Aging Study - Wave 3, 2009 (Costa Rica Estudio de Longevidad y Envejecimiento Saludable, Ronda 3) (ICPSR 35250)
CRELES: Costa Rican Longevity and Healthy Aging Study - Wave 1, 2005 (Costa Rica Estudio de Longevidad y Envejecimiento Saludable) (ICPSR 26681)
Euro-Barometer 27: the Common Agricultural Policy and Cancer, March-May 1987 (ICPSR 8715)
Euro-barometer 29: Environmental Problems and Cancer, March-April 1988 (ICPSR 9083)
Euro-Barometer 30: Immigrants and Out-Groups in Western Europe, October-November 1988 (ICPSR 9321)
Euro-Barometer 31: European Elections, 1989: Pre-Election Survey, March-April 1989 (ICPSR 9322)
Euro-barometer 38.0: European Court of Justice, Passive Smoking, and Consumer Issues, September-October 1992 (ICPSR 6044)
Health and Nutrition Examination Survey I, 1971-1975: Medical History Questionnaire, Ages 1-11 (ICPSR 8138)
Health and Ways of Living Study, 1965 Panel: [Alameda County, California] (ICPSR 6688)
Hispanic Established Populations for Epidemiologic Studies of the Elderly, Wave II, 1995-1996: [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 3385)
Hispanic Established Populations for Epidemiologic Studies of the Elderly, Wave III, 1998-1999: [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 4102)
Hispanic Established Populations for Epidemiologic Studies of the Elderly, Wave IV, 2000-2001 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 4314)
Hispanic Established Populations for the Epidemiologic Studies of the Elderly, 1993-1994: [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 2851)
Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 5, 2004-2005 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 25041)
Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 6, 2006-2007 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 29654)
Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 7, 2010-2011 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 36537)
The Hispanic EPESE provides data on risk factors for mortality and morbidity in Mexican Americans in order to contrast how these factors operate differently in non-Hispanic White Americans, African Americans, and other major ethnic groups.
The Wave 7 dataset comprises the sixth follow-up of the baseline Hispanic EPESE (HISPANIC ESTABLISHED POPULATIONS FOR THE EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1993-1994: [ARIZONA, CALIFORNIA, COLORADO, NEW MEXICO, AND TEXAS] [ICPSR 2851]). The baseline Hispanic EPESE collected data on a representative sample of community-dwelling Mexican Americans, aged 65 years and older, residing in the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas.
The public-use data cover demographic characteristics (age, sex, type of Hispanic race, income, education, marital status, number of children, employment, and religion), height, weight, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of dental, hospital, and nursing home services, and depression. Subsequent follow-ups provide a cross-sectional examination of the predictors of mortality, changes in health outcomes, and institutionalization, and other changes in living arrangements, as well as changes in life situations and quality of life issues.
During this 7th Wave (dataset 1), 2010-2011, re-interviews were conducted either in person or by proxy, with 659 of the original respondents. This Wave also includes 419 re-interviews from the additional sample of Mexican Americans aged 75 years and over with higher average-levels of education than those of the surviving cohort who were added in Wave 5, increasing the total number of respondents to 1,078.
The Wave 7 Informant Interviews dataset (dataset 2) includes data which corresponds to the sixth follow-up of the baseline Hispanic EPESE Wave 7 and included re-interviews with 1,078 Mexican Americans aged 80 years and older. During these interviews, participants were asked to provide the name and contact information of the person they are "closer to" or they "depend on the most for help." These INFORMANTS were contacted and interviewed regarding the health, function, social situation, finances, and general well-being of the ongoing Hispanic EPESE respondents. Information was also collected on the informant's health, function, and caregiver responsibilities and burden. This dataset includes information from 925 informants, more than two-thirds of whom were children of the respective respondents.
Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 8, 2012-2013 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 36578)
The Hispanic EPESE provides data on risk factors for mortality and morbidity in Mexican Americans in order to contrast how these factors operate differently in non-Hispanic White Americans, African Americans, and other major ethnic groups.
The Wave 8 dataset comprises the seventh follow-up of the baseline Hispanic EPESE (HISPANIC ESTABLISHED POPULATIONS FOR THE EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1993-1994: [ARIZONA, CALIFORNIA, COLORADO, NEW MEXICO, AND TEXAS] [ICPSR 2851]). The baseline Hispanic EPESE collected data on a representative sample of community-dwelling Mexican Americans, aged 65 years and older, residing in the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas.
The public-use data cover demographic characteristics (age, sex, marital status), height, weight, BMI, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of hospital and nursing home services, and depression. Subsequent follow-ups provide a cross-sectional examination of the predictors of mortality, changes in health outcomes, and institutionalization, and other changes in living arrangements, as well as changes in life situations and quality of life issues.
During this 8th Wave, 2012-2013, re-interviews were conducted either in person or by proxy, with 452 of the original respondents. This Wave also includes 292 re-interviews from the additional sample of Mexican Americans aged 75 years and over with higher average-levels of education than those of the surviving cohort who were added in Wave 5, increasing the total number of respondents to 744.
Human Aging: A Biological and Behavioral Longitudinal Study of Healthy Aged Males, 1957-1968 (ICPSR 7678)
Long Beach Longitudinal Study (ICPSR 26561)
The Long Beach Longitudinal Study (LBLS) was created in 1978 to obtain normative data for the Schaie-Thurston Adult Mental Abilities Test (STAMAT). From 1994 to 2003 it was extended under the guiding principle that cognitive aging is a largely contextual phenomenon. Individual differences in abilities and change in those abilities over adulthood are associated not only with cognitive mechanisms, but with sociodemographic phenomena such as birth cohort, or gender, and within-individual characteristics, including health, affect, self-efficacy, personality, and other variables that impact health. This principle is reflected in the testing measures added to the original panel. Besides the original ability measures used by Schaie, the Life Complexity Inventory, has been included in all testing. Because these measures were included in the later generations of testing, independent and direct comparisons can be made with Seattle Longitudinal Study (ICPSR 00158) to replicate findings and to generalize longitudinal samples.
Panel 1
The initial panel was sampled in 1978 and consisted of 65 adults aged 28-33 and 518 adults aged 55-84. This sample was tested using the STAMAT, as well as a 20-item list of common English nouns for testing free recall, and a brief essay to test text recall. In 1981, 264 participants from this sample were retested, 106 were again retested from 1994-1995, and 42 in 1997. Finally, 15 participants of the original sample were tested from 2000-2002 using additional tests adopted for the creation of a second panel, described below, as well as a test for measuring executive function.
Panel 2
In 1994, a second panel of 630 participants aged 30-97, a third of which were over 80, was added to the study. The testing for this sample included multiple indices of list recall, text recall, working memory, perceptual speed, and vocabulary for structural equation modeling. Assessment of language, autobiographical memory, personality, depression, health, health behaviors and other measures were also incorporated into the study. In 1997, 352 members of this second panel were retested. From 2000-2002, 179 participants of this second panel completed the 1994-1995 measures, as well as several tests extending the battery to indices of executive function. In 2003, 133 participants were retested.
Panel 3
A third sample was recruited during the 2000-2002 time frame consisting of 911 participants aged 30-98, again approximately a third of which were over the age of 80. In 2003, 513 members of this third panel were retested.
Datasets
The data are provided in 6 datasets.
Panel 1 and 2 1978 - 2003 Longitudinal File
Dataset 1 is a longitudinal file of data from Panel 1 for tests performed in 1978, 1981, 1994, 1997, and 2000-2002, and data from Panel 2 for tests performed in 1994, 1997, 2000-2002 and 2003.
Panels 1 and 2 1994 STAMAT File
Dataset 2 contains the STAMAT test variables for Panels 1 and 2.
Panel 1 and 2 1994-2000 Master Data Longitudinal File
Dataset 3 is a second longitudinal file containing the complete catalog of variables from Panels 1 and 2 for test performed in 1994, 1997 and 2000.
Panel 2 Wave 1 1994 Cross File
Dataset 4 contains variables for the first wave of Panel 2 which took place in 1994.
Panel 2 Wave 2 1997 Cross File
Dataset 5 contains variables for the second wave of Panel 2 which took place in 1997.
Panel 3 Wave 1 2000 Master File
Dataset 6 contains variables from the first wave of Panel 3 which took place in 2000.
Mexican Health and Aging Study (MHAS) (ICPSR 142)
The Mexican Health and Aging Study (MHAS) is a national longitudinal study of adults 50 years and older in Mexico. The study is a collaborative effort among researchers from the Universities of Pennsylvania, Maryland, and Wisconsin in the United States, and the Instituto Nacional de Estadistica, Geografia e Informatica (INEGI) in Mexico.
The baseline survey includes a nationally representative sample of Mexicans aged 50 and over and their spouse/partners regardless of their age. A direct interview was sought with each individual, and proxy interviews were obtained when poor health or temporary absence precluded a direct interview. Topics covered include: health behavior and health status, childhood and family background, migration history, sources and amounts of income, and housing environment.
The MHAS is partly supported by the National Institutes of Health/National Institute on Aging and the INEGI in Mexico. The MHAS was designed as a longitudinal study with protocols highly comparable to the Health and Retirement Study (HRS) of the United States.
Midlife in the United States (MIDUS 1) National Study of Daily Experiences (NSDE), 1996-1997 (ICPSR 3725)
Midlife in the United States (MIDUS 2): Biomarker Project, 2004-2009 (ICPSR 29282)
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.
Midlife in the United States (MIDUS Refresher 1): Biomarker Project, 2012-2016 (ICPSR 36901)
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.