Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)
ELSA-Brasil aims to investigate the incidence and progression of diabetes and cardiovascular diseases and their biological, behavioural, environmental, occupational, psychological, and social factors. Participants are over 15,000 civil servants from five universities and one research institute located in different regions of Brazil. All active or retired employees of the institutions aged 35 to 74 years were eligible for the study. Baseline interviews took place from 2008 to 2010. Participants are followed up with telephone interviews annually and in-person examinations in 2012-14; 2016-18; 2023-24.
Study design
Cohort - occupational, Cohort
Number of participants at first data collection
15,105 (participants)
Age at first data collection
35 - 74 years (participants)
Participant year of birth
1934 - 1975 (participants)
Participant sex
All
Representative sample at baseline?
No
Sample features
Country
Year of first data collection
2008 - 2010
Primary Institutions
Federal University of Rio Grande do Sul (Universidade Federal do Rio Grande do Sul, UFRGS)
Federal University of Bahia (Universidade Federal da Bahia, UFBA)
Federal University of Espírito Santo (Universidade Federal do Espírito Santo, Ufes)
Federal University of Minas Gerais (Universidade Federal de Minas Gerais) (UFMG)
Oswaldo Cruz Foundation (Fundação Oswaldo Cruz, FIOCRUZ)
Profile paper DOI
Funders
Financiadora de Estudos e Projetos (FINEP)
Brazilian National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq)
Department of Science and Technology
Federal Government of Brazil (Governo Federal)
Ministry of Health (Ministério da Saúde)
Ongoing?
Yes
Data types collected
- Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
- Interview – face-to-face
- Interview – phone
- Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
- Secondary data
- None
- Magnetic Resonance Spectroscopy (MRS)
- Geographic, spatial & environmental data
- Healthcare data
- Mortality data
Engagement
Keywords
Consortia and dataset groups
