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MONITORING THE PROGRESS OF HEALTH-RELATED SUSTAINABLE DEVELOPMENT GOALS (SDGS) IN BRAZILIAN STATES USING THE GLOBAL BURDEN OF DISEASE INDICATORS
Poverty
Inequalities
Middle-income countries
Health indicators
Autor(es)
Afiliação
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / London School of Hygiene & Tropical Medicine. Centre for Global Mental Health. London, UK.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil.
Federal University of Minas Gerais. School of Medicine. Public Health Graduate Program. Belo Horizonte, MG, BH, Brazil.
University of Washington. Institute for He alth Metrics and Evaluation. School of Medicine. Seattle, Washington, USA.
Brazilian Institute of Geography and Statistics. Rio de Janeiro, RJ, Brazil.
Brazilian Institute of Geography and Statistics. Rio de Janeiro, RJ, Brazil.
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brasil.
Universidade Federal de Minas Gerai. Escola de Enfermagem. Departamento Materno Infantil e Saúde Pública. Belo Horizonte, MG, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil.
Federal University of Minas Gerais. School of Medicine. Public Health Graduate Program. Belo Horizonte, MG, BH, Brazil.
University of Washington. Institute for He alth Metrics and Evaluation. School of Medicine. Seattle, Washington, USA.
Brazilian Institute of Geography and Statistics. Rio de Janeiro, RJ, Brazil.
Brazilian Institute of Geography and Statistics. Rio de Janeiro, RJ, Brazil.
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brasil.
Universidade Federal de Minas Gerai. Escola de Enfermagem. Departamento Materno Infantil e Saúde Pública. Belo Horizonte, MG, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Federal University of Bahia. Institute of Collective Health. Salvador, BA, Brazil.
Resumo em Inglês
Measuring the Global Burden of Disease (GBD) has been the key to verifying the evolution of health
indicators worldwide. We analyse subnational GBD data for Brazil in order to monitor the performance of the
Brazilian states in the last 28 years on their progress towards meeting the health-related SDGs.
Methods: As part of the GBD study, we assessed the 41 health-related indicators from the SDGs in Brazil at the
subnational level for all the 26 Brazilian states and the Federal District from 1990 to 2017. The GBD group has
rescaled all worldwide indicators from 0 to 100, assuming that for each one of them, the worst value among all
countries and overtime is 0, and the best is 100. They also estimate the overall health-related SDG index as a
function of all previously estimated health indicators and the SDI index (Socio-Demographic Index) as a function of
per capita income, average schooling in the population aged 15 years or over, and total fertility rate under the age
of 25 (TFU25).
Results: From 1990 to 2017, most subnational health-related SDGs, the SDG and SDI indexes improved
considerable in most Brazilian states. The observed differences in SDG indicators within Brazilian states, including
HIV incidence and health worker density, increased over time. In 2017, health-related indicators that achieved good
results globally included the prevalence of child wasting, NTD, household air pollution, conflict mortality, skilled
birth attendance, use of modern contraceptive methods, vaccine coverage, and health worker density, but poor
results were observed for child overweight and homicide rates. The high rates of overweight, alcohol consumption,
and smoking prevalence found in the historically richest regions (i.e., the South and Southeast), contrast with the
high rates of tuberculosis, maternal, neonatal, and under-5 mortality and WASH-related mortality found in the
poorer regions (i.e., the North and Northeast).The majority of Brazil’s health-related SDG indicators have substantially improved over the past 28
years. However, inequalities in health among the Brazilian states and regions remain noticeable negatively affecting
the Brazilian population, which can contribute to Brazil not achieving the SDG 2030 targets.
Palavras-chave em inglês
Health disparitiesPoverty
Inequalities
Middle-income countries
Health indicators
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