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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), 1999-2001 [United States] 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 Rehabilitation Center for the Aged in Boston, Indiana University, Johns Hopkins University in Baltimore, Pennsylvania State University, and the University of Florida/Wayne State University (Detroit). The primary aim of the trial was to test the effects of three distinct cognitive interventions -- previously found to be successful in improving elders' performance on basic measures of cognition under laboratory or small-scale field conditions -- on measures of cognitively demanding daily activities. Trainings consisted of an initial series of ten group sessions followed by four-session booster trainings at one and three years. The three cognitive interventions focused on memory, executive reasoning, and speed of processing. The design included a no-contact control group. Participants were assessed at baseline, immediately after training, and annually thereafter. 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.

This data collection, Aging of Veterans of the Union Army: Surgeons' Certificates, United States, 1862-1940, constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project collects military, medical, and socioeconomic data on a sample of white males mustered into the Union Army during the Civil War. The surgeons' certificates contain information from examining physicians to determine eligibility for pension benefits. Also included are questions regarding the age, occupation, residence, and military experience of the veterans. These data can be linked to "Aging of Veterans of the Union Army: Military, Pension, and Medical Records, 1820-1940" (ICPSR 6837) and "Aging of Veterans of the Union Army: United States Federal Census Records, 1850, 1860, 1900, 1910" (ICPSR 6836) using the variable "recidnum."

The Analysis of Longitudinal Claims Databases (R1 Part A): Aging Trajectories of Chronic Disease, Psychological Morbidity, and Mortality, United States is the first of a three-part project that examined claims data from Medicare, Medicaid, and/or Optum databases to explore aging trajectories, use of preventative services, and healthcare outcomes for individuals with several types of physical disabilities.

There is a well-established interrelationship between access to healthcare and the age-related co-occurrence of two or more chronic conditions, adverse health events, and cost of care among people with a physical disability (PWPD). However, the extent to which health outcomes and healthcare costs interact with a wide range of social factors, including type and depth of insurance coverage, has received little attention. There is also scarce evidence regarding the aging trajectories of chronic diseases and psychological conditions among PWPD, as well as how these factors contribute to healthcare costs and adverse health events, including early mortality. Three specific aims guide this research investigation:

1. Determine the longitudinal trends of cardiometabolic diseases, the age-related co-occurrence of two or more chronic conditions (or multimorbidity), diagnosed physiological conditions, and musculoskeletal diseases common among individuals diagnosed with a physical disability ordered by type of insurance (public vs. private).
2. Identify the independent and joint contributions of medical factors (e.g., age, multimorbidity, disease severity, etc.) and social and environmental factors (e.g., income, education, and insurance) on adverse health events (including mortality), healthcare use, and costs.
3. Quantify how changes in medical and social factors predict or facilitate adverse health events and healthcare costs among individuals with specific diagnoses of physical disabilities.

The Black Rural and Urban Caregivers Mental Health/Functioning data collection includes survey data collected in 2000-2002 from African American females age 65 and older, who provide unpaid care for older African American adults in the St. Louis Metropolitan area and seven rural Missouri counties (Butler, Dunklin, Mississippi, New Madrid, Pemiscot, Scott, and Stoddard).

Because of inadequate recruitment knowledge about rural African American caregivers and persistent reports of challenges when involving African Americans elders in research, this study focused on the involvement of African American rural elders and recruitment of their female informal caregivers in a study of caregivers' well-being and service use. African Americans comprise the largest group of ethnic and racial minority elders aged 65 and older in the U.S. population thus making up one half of all ethnic and racial minority elders. Numerical changes in population size and increasing longevity of older African Americans direct attention to African American informal female caregivers- persons most likely to assist African American elderly with daily living tasks, personal needs, and long-term care. More disabled and chronically ill African American elders portend continuing need from informal or unpaid caregivers for dependent care.

There are two datasets associated with this study, a public-use (da36349-0001) and restricted-use (da36349-0002) version of the same survey data. Both data files contain 521 cases and 1438 variables. However, the restricted file contains continuous as opposed to categorical values for age variables rounded to the nearest whole number.

The purpose of this project was to measure and estimate the distribution of personal income and related economic factors in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

In an effort to make hearing aids more affordable and accessible to U.S. adults with hearing difficulty, the Food and Drug Administration (FDA) empowered these adults to self-fit over-the-counter (OTC) hearing aids. The effectiveness of two self-fit methods, Consumer Decides (CD) and Efficient Fitting (EF), was hypothesized to be non-inferior to the professional-fit method, (Audiology Based, AB). This was evaluated for both short-term (6 weeks post-fit) and long-term (6 months post-fit) outcomes.

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.

The 1993 Detroit Area Study explored a variety of issues related to health, the effects of aging, living conditions, and participation in civic life in the Michigan tri-county area of Wayne, Oakland, and Macomb counties. A battery of questions probed respondents' perceptions of their health and mental state and those of their spouse, their ability to perform certain physical and mental activities, and the effect of their emotional state on their appetite and sleeping patterns. Other explored their feelings about neighborhood safety, means of transportation, relationships, accommodation, the portrayal of older people on television programs, and the treatment of older people by employers. The survey also sought respondents' opinions about government, their personal financial situation and problems, money management, savings and investments, and their life as a whole. Additional items questioned respondents about the frequency of their visits to the doctor, overnight hospitalization, chronic health conditions, smoking and drinking habits, and medical coverage, as well as electoral participation, political party preference, ideological leanings, class self-identification, assistance received from community organizations, family, and friends, personal regrets, and time spent watching television and engaging in pleasurable activities. Other questions gauged respondents' memory, vision, and motor skills. Respondents also provided demographic information on sex, age, marital status, race, ethnicity, religion, and education.