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Indigenous children and adolescent mortality inequity in Brazil: What can we learn from the 2010 National Demographic Census?

Authors :
Santos RV
Borges GM
Campos MB
Queiroz BL
Coimbra CEA Jr
Welch JR
Source :
SSM - population health [SSM Popul Health] 2020 Jan 09; Vol. 10, pp. 100537. Date of Electronic Publication: 2020 Jan 09 (Print Publication: 2020).
Publication Year :
2020

Abstract

Indigenous peoples worldwide are highly disadvantaged compared to national baseline populations. Given historical challenges to accessing relevant data for Brazil, the present study innovates by using 2010 Brazilian National Demographic Census data to estimate mortality curves in Indigenous children and adolescents <20 years. The non-parametric smoothing approach TOPALS (tool for projecting age-specific rates using linear splines) was employed. Analyses included stratifications by sex, rural or urban residence, and geopolitical region. The mortality of children and adolescents classified as Indigenous was higher for all analyzed strata. Mortality of Indigenous and non-Indigenous individuals in rural areas was higher than those in urban areas in almost all strata analyzed. Mortality levels in the Indigenous segment exceed those of children and adolescents classified as non-Indigenous in all four geopolitical regions, with few exceptions. This is the first study to compare mortality curves of children and adolescents in Brazil according to social variables based on national census data. More Indigenous children and adolescents die than their non-Indigenous counterparts, including those classified as black or brown, in both rural and urban residential settings. Indigenous children and adolescents are consistently at the most disadvantaged end of a marked gradient of ethnic-racial inequality in Brazil, independently of sex, age, and geopolitical region.<br />Competing Interests: We declare no competing interests. Study sponsors had no involvement in study design, data analysis, interpretation of data, writing of the report, or the decision to submit the paper for publication.<br /> (© 2020 The Authors.)

Details

Language :
English
ISSN :
2352-8273
Volume :
10
Database :
MEDLINE
Journal :
SSM - population health
Publication Type :
Academic Journal
Accession number :
31989016
Full Text :
https://doi.org/10.1016/j.ssmph.2020.100537