Abstract. Background: Natural disasters are increasing in frequency and severity and impacted populations develop mental health conditions at higher rates than those not impacted. Aims: In this study, we investigate the association between exposure to a major natural disaster and suicide in the US. Method: Using county-level data on disaster declarations, mortality files, and population data, suicide rates were estimated for three 12-month periods before and after the disaster. Pooled rates were estimated predisaster and compared with postdisaster suicide rates using Poisson-generated Z tests and 95% confidence intervals. Results: A total of 281 major disasters were included. The suicide rate increased for each type of disaster and across all disasters in the first 2 years of follow-up. The largest overall increases in suicide rates were seen 2 years postdisaster. Limitations: Limitations include the ecologic study design, county-level exposure, and low power. Conclusion: Increases in county-level suicide rates after disasters were not statistically significant, although there was evidence that increases were delayed until 2 years postdisaster. Additional studies are needed to improve understanding of nonfatal suicide attempts after disasters and the role elevated social support plays in suicide prevention postdisaster. Future studies should consider pre-existing mental health, secondary stressors, and proximity to hazards.

CONTEXT AND OBJECTIVE: 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)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(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. DESIGN AND SETTING: Descriptive cross-sectional time-series study in Brazil and in the US. METHODS: 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. RESULTS: 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. CONCLUSION:The hypothesis that reduction of income inequality is accompanied by reduction of suicide rates was not verified.

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