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Cohort of 100 million Brazilians
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Sample details

The baseline sweep of the 100 Million Brazilian Cohort comprises individuals registered in The National Unified Register for Social Programmes (Cadastro Único para Programas Sociais or Cadastro Único) for the first time. Cadastro Único identifies low-income families who have applied for social assistance in Brazil and includes individuals who have applied to receive any social benefit since 2001. The baseline dataset includes 131,697,800 individuals, about 62% of the Brazilian population, who entered at different periods from 2001 to 2018. 55.8% of the cohort identified themselves as Brown, 30.7% as White, 6.6% as Black, 0.6% as Indigenous, and 0.4% as Asian.

Study design
Registry

Number of participants at first data collection

131,697,800 (participants)

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Economically disadvantaged people
Linked cohort
Record-linkage
Registry
Dataset details

Country

Brazil

Year of first data collection

2001

Primary Institutions

Federal University of Bahia (Universidade Federal da Bahia, UFBA)

Gonçalo Muniz Institute

Links

appcoorte.cidacs.org/home

appcoorte.cidacs.org/dashboard

Profile paper DOI

doi.org/10.1093/ije/dyab213

Funders

Ministério da Saude (MS)

Bill & Melinda Gates Foundation

Brazilian National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq)

British Council

Departamento de Ciência e Tecnologia (DECIT)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Medical birth registry
  • Mortality data
  • Tax, income & benefit data
Features

Engagement

  • None
  • Keywords

    Demographics
    Economics
    Income and expenses
    Inequality
    Interventions
    Life outcomes
    Social support
    Socioeconomics
    Work and employment
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