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)
Behavioral Risk Factor Surveillance System (BRFSS), 2003 (ICPSR 34085)
Behavioral Risk Factor Surveillance System (BRFSS), United States, 2017 (ICPSR 37989)
The Behavioral Risk Factor Surveillance System (BRFSS) is a system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. Established in 1984 with 15 states, BRFSS now collects data in all 50 states as well as the District of Columbia and three U.S. territories. BRFSS completes more than 400,000 adult interviews each year.
Established Populations for Epidemiologic Studies of the Elderly, 1981-1993: [East Boston, Massachusetts, Iowa and Washington Counties, Iowa, New Haven, Connecticut, and North Central North Carolina] (ICPSR 9915)
Health Interview Survey, 1963 (ICPSR 28381)
Health Interview Survey, 1964 (ICPSR 28663)
Midlife in the United States (MIDUS 3), 2013-2014 (ICPSR 36346)
In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74 [ICPSR 2760]. The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. The study was innovative for its broad scientific scope, its diverse samples (which included siblings of the main sample respondents and a national sample of twin pairs), and its creative use of in-depth assessments in key areas (e.g. daily diary of stressful experiences [ICPSR 3725] and cognitive functioning [ICPSR 3596]) on a subset of participants. A detailed description of the study and findings generated by it are available at: http://www.midus.wisc.edu
With support from the National Institute on Aging, a follow-up of the original Midlife Development in the United States (MIDUS) sample was conducted in 2004 (MIDUS 2 [ICPSR 4652]). The daily stress and cognitive functioning projects were repeated and expanded at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience.
In 2013 a third wave (MIDUS 3) of survey data was collected on longitudinal participants. Data collection for this follow-up wave largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas such as economic recession experiences. Cognitive functioning data were also collected at the same time, while data collection for the daily diary, biomarker, and neuroscience projects commenced in 2017.
MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required.
Midlife in the United States (MIDUS 3): Neuroscience Project, 2017-2022 (ICPSR 38862)
From 2004-2009, an initial follow-up of the original Midlife Development in the United States samples (MIDUS 2) was conducted with expansion of the protocol to include Neuroscience Project data collection and a sample of Black Americans from Milwaukee, WI. The MIDUS Neuroscience Project performed a second follow-up from 2017-2022 of the MIDUS Main and Milwaukee samples (MIDUS 3) on a subsample of those who completed the MIDUS 3 Survey and Biomarker Projects.
The goal was to examine indices of brain aging, function, and structure with a focus on the brain circuitry associated with individual differences in affective style, and to characterize the peripheral consequences of these central profiles for biological systems that may be relevant to health. The primary aims were to: (1) characterize individual differences in emotional reactivity, recovery, and sustaining processes using corrugator and zygomatic electromyography and eyeblink startle magnitude, (2) characterize individual differences in brain morphology and connectivity using structural magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) (3) characterize individual differences in functional activity within the neural circuitry of emotion using task and resting state fMRI, (4) calculate brain age, and (5) test the ability of these indices to predict the comprehensive array of health, wellbeing, cognitive, psychological, social, and life challenge factors assessed in other MIDUS projects. To probe individual differences in emotional processes, psychophysiological and fMRI measures of emotional responses to the presentation of negative, positive, and neutral pictures, and these same measures during a post-picture period were examined.
Emotion-influenced memory was assessed at both the psychophysiological and imaging sessions: (1) Free recall of the presented affective pictures at the end of the psychophysiological session. (2) Memory and likeability ratings for neutral faces paired with the affective pictures in the imaging task. Finally, selected tasks from the CANTAB assessed affective biases and cognitive processes important for emotion regulation.
National Health Interview Survey, 1991: Child Health Supplement (ICPSR 6052)
National Health Interview Survey, 1994: Second Longitudinal Study on Aging, Wave 2, 1997 (ICPSR 3526)
National Health Interview Survey, 1994: Second Supplement on Aging (ICPSR 2563)
National Health Interview Survey: Longitudinal Study of Aging, 70 Years and Over, 1984-1990 (ICPSR 8719)
National Survey of Self-Care and Aging: Baseline, 1990-1991 (ICPSR 6718)
National Survey of Self-Care and Aging: Follow-Up, 1994 (ICPSR 2592)
Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study (ICPSR 34241)
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.