Abstract
Abstract The Health, Well-being and Aging (SABE - Saúde, Bem-estar e Envelhecimento) study was developed by the Pan American Health Organization (OPAS/OMS) to provide information on the living conditions of the elderly. The multi-center survey on health and well-being of the elderly was carried out in seven urban areas in Latin America and the Caribbean. The study took place between October 1999 and December 2000 in Argentina, Barbados, Brazil, Chile, Cuba, Mexico, and Uruguay. In 2006, only in Brazil, the SABE Study became a longitudinal and multiple cohort study with the aid of the São Paulo Research Foundation (FAPESP) and the Ministry of Health. In each cohort (2006, 2010 and 2015), data was collected among the elderly who were participants in 2000, and new 60 to 64-year-old subjects were inserted. The probabilistic sample of the participating individuals was obtained through the method of multi-stage conglomerates sampling by stratifying the primary units. We also considered the socioeconomic strata of the municipality urban area. The baseline for carrying out the sample calculation was the population count of the Brazilian Institute of Geography and Statistics (IBGE). Data was collected by trained interviewers. They used a standardized questionnaire to retrieve information regarding, for example, cognitive assessment, health status, and use and access to services. At the moment, the SABE Study follows 1,224 elderly individuals. The information collected from the SABE Study is available through the electronic address <http://hygeia3.fsp.usp.br/sabe/>. The aging process occurs differently when factors such as sex and socioeconomic aspects are considered. Thus, accompanying the elderly over time and knowing their living conditions are essential for proposing public policies according to reality. Key messages The Health, Well-being and Aging (SABE) study has been monitoring elderly people since 2000 in the city of São Paulo and provides information on their living conditions. The monitoring of the elderly enables the development of public policies that are more focused on the needs presented.
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