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Comparative analysis of death by suicide in Brazil and in the United States: descriptive, cross-sectional time series study

Overview of attention for article published in Sao Paulo Medical Journal, April 2017
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Title
Comparative analysis of death by suicide in Brazil and in the United States: descriptive, cross-sectional time series study
Published in
Sao Paulo Medical Journal, April 2017
DOI 10.1590/1516-3180.2016.0207091216
Pubmed ID
Authors

Alexander Abuabara, Allan Abuabara, Carin Albino Luçolli Tonchuk

Abstract

The World Health Organization recognizes suicide as a public health priority. Increased knowledge of suicide risk factors is needed in order to be able to adopt effective prevention strategies. The aim of this study was to analyze and compare the association between the Gini coefficient (which is used to measure inequality) and suicide death rates over a 14-year period (2000-2013) in Brazil and in the United States (US). The hypothesis put forward was that reduction of income inequality is accompanied by reduction of suicide rates. Descriptive cross-sectional time-series study in Brazil and in the US. Population, death and suicide death data were extracted from the DATASUS database in Brazil and from the National Center for Health Statistics in the US. Gini coefficient data were obtained from the World Development Indicators. Time series analysis was performed on Brazilian and American official data regarding the number of deaths caused by suicide between 2000 and 2013 and the Gini coefficients of the two countries. The suicide trends were examined and compared. Brazil and the US present converging Gini coefficients, mainly due to reduction of inequality in Brazil over the last decade. However, suicide rates are not converging as hypothesized, but are in fact rising in both countries. The hypothesis that reduction of income inequality is accompanied by reduction of suicide rates was not verified.

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The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Professor 1 4%
Student > Ph. D. Student 1 4%
Student > Master 1 4%
Unknown 21 75%
Readers by discipline Count As %
Psychology 5 18%
Biochemistry, Genetics and Molecular Biology 1 4%
Immunology and Microbiology 1 4%
Medicine and Dentistry 1 4%
Unknown 20 71%