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2030-01-01
Sustainable Development Goals
01 Erradicação da pobreza03 Saúde e Bem-Estar
10 Redução das desigualdades
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- IOC - Artigos de Periódicos [12973]
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EXPLAINING RACIAL DISPARITIES IN INFANT HEALTH IN BRAZIL
Affilliation
University of Iowa. Department of Health Management and Policy. Iowa City, IA, USA.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Epidemiologia de Malformações Congênitas. Rio de Janeiro, RJ. Brasil / Centro de Educación Médica e Investigación Clínica. Estudio Colaborativo Latino Americano de Malformaciones Congenitas. Buenos Aires, Argentina.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Epidemiologia de Malformações Congênitas. Rio de Janeiro, RJ. Brasil / Centro de Educación Médica e Investigación Clínica. Estudio Colaborativo Latino Americano de Malformaciones Congenitas. Buenos Aires, Argentina.
University of Iowa. Department of Health Management and Policy. Iowa City, IA, USA.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Epidemiologia de Malformações Congênitas. Rio de Janeiro, RJ. Brasil / Centro de Educación Médica e Investigación Clínica. Estudio Colaborativo Latino Americano de Malformaciones Congenitas. Buenos Aires, Argentina.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Epidemiologia de Malformações Congênitas. Rio de Janeiro, RJ. Brasil / Centro de Educación Médica e Investigación Clínica. Estudio Colaborativo Latino Americano de Malformaciones Congenitas. Buenos Aires, Argentina.
University of Iowa. Department of Health Management and Policy. Iowa City, IA, USA.
Abstract
Objectives. We sought to quantify how socioeconomic, health care, demographic,
and geographic effects explain racial disparities in low birth weight
(LBW) and preterm birth (PTB) rates in Brazil.
Methods. We employed a sample of 8949 infants born between 1995 and 2009
in 15 cities and 7 provinces in Brazil. We focused on disparities in LBW (< 2500 g)
and PTB (< 37 gestational weeks) prevalence between infants of African ancestry
alone or African mixed with other ancestries, and European ancestry alone. We
used a decomposition model to quantify the contributions of conceptually
relevant factors to these disparities.
Results. The model explained 45% to 94% of LBW and 64% to 94% of PTB
disparities between the African ancestry groups and European ancestry. Differences
in prenatal care use and geographic location were the most important
contributors, followed by socioeconomic differences. The model explained the
majority of the disparities for mixed African ancestry and part of the disparity for
African ancestry alone.
Conclusions. Public policies to improve children’s health should target prenatal
care and geographic location differences to reduce health disparities
between infants of African and European ancestries in Brazil.
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