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Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study (ICPSR 34241)

Released/updated on: 2015-05-07

Geographic coverage: Argentina, Puerto Rico, United States, Uruguay, China (Peoples Republic), England, Ghana, India, Russia, Costa Rica, Cuba, Netherlands, Bangladesh, Barbados, Taiwan, Brazil, South Africa, Mexico, Chile, Indonesia

Time period: 1996-01-01--2008-01-01

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.

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SABE - Survey on Health, Well-Being, and Aging in Latin America and the Caribbean, 2000 (ICPSR 3546)

Released/updated on: 2006-02-17

Geographic coverage: Cuba, Argentina, Barbados, Uruguay, Brazil, Mexico, Chile, Global

Time period: 1999-01-01--2000-01-01

The Survey on Health, Well-Being, and Aging in Latin America and the Caribbean (Project SABE) was conducted during 1999 and 2000 to examine health conditions and functional limitations of persons aged 60 and older in the countries of Argentina, Barbados, Brazil, Chile, Cuba, Mexico, and Uruguay, with special focus on persons over 80 years of age. Project SABE was administered in the official language of each country: Spanish in Buenos Aires (Argentina), Mexico City (Mexico), Santiago (Chile), Havana (Cuba), and Montevideo (Uruguay), English in Bridgetown (Barbados), and Portuguese in Sao Paulo (Brazil). Goals of the project were to (a) describe the health conditions of older adults (aged 60 and older with special focus on persons over 80) with regard to chronic and acute diseases, disability, and physical and mental impairment, (b) evaluate the extent to which older adults used and had access to health care services, including services that are outside the formal system (local healers, traditional medicine), (c) evaluate the proportional contribution by principal sources of support -- relatives and family networks, public assistance, and private resources (income, assets) -- towards meeting the health-related needs of older adults, (d) evaluate access to health insurance offered by private organizations, governmental institutions, and mixed systems, as well as the extent to which that insurance was actually used, (e) analyze the differentials in the self-evaluation of health conditions, access to health care, and sources of support with regard to socioeconomic group, gender, and birth cohort, (f) evaluate the relationships between strategic factors -- health-related behavior, occupational background, socioeconomic status, gender, and cohort -- and health conditions, according to the health evaluation at the time of the survey, and (g) carry out comparative analyses in countries that share similar characteristics but that differ with regard to such factors as the role of family support, public assistance, access to health services, and health-related behavior and exposure to risk. Demographic variables include age, sex, race, level of education, birthplace, religion, ethnic group, marital status, and income. Also examined were cognitive status, health status, functional status, nutritional status, and use and accessibility of services