Conglomerados espaciais da mortalidade por suicídio no nordeste do Brasil e sua relação com indicadores socioeconômicos

Abstract

Objective: to evaluate the spatial distribution of mortality by suicide in the northeast of Brazil and its relationship with social and economic indicators, seeking to identify the distribution pattern distribution through a geostatistical analysis. Method: This is an ecological study that used suicide death data from 2000 to 2014 recorded in the Mortality Information System. Global and local Moran tests were applied for spatial autocorrelation analysis, and the bivariate LISA analysis was used to evaluate the spatial correlation between the suicide mortality rate and the independent variables. Results: The results showed that mortality due to suicide in the Northeast has poor spatial autocorrelation (I = 0.2608), although there is strong spatial autocorrelation for most of the analyzed variables. In the spatial bivariate analysis, the variables presented a Moran LISA Index close to zero, such as HDI (I = 0.025), Aging (I = 0.146) and Illiteracy (I = 0.06). Spatial bivariate analysis showed that there is no spatial autocorrelation between socioeconomic variables and standardized mortality rates y suicide. Conclusion: It is concluded that suicide mortality in the northeast of Brazil is randomly distributed and has no spatial relationship with socioeconomic variables.

Mortality and years of life lost to suicide in Rio Grande do Norte, Brazil, 2000-2015

“…Minayo, Pinto, Assis, Cavalcante, and Mangas (2012), assessing suicide trends in the elderly population in Brazil and Rio de Janeiro, from 1980 to 2006, detected an increase in suicide rates among senior individuals, from 595.3 deaths/year in 1980 to 7,994 deaths/year in 2006. An increase trend was also found in the states of Piauí, Ceará and Rio Grande do Norte, and decrease in Amazonas, São Paulo and Roraima for those aged between 60 and 69 years old (Pinto, Silva, Pires & Assis, 2012;Santos & Barbosa, 2017).…”

“…In one of the studies conducted by Machado and Santos (2015) for Brazil, it was reported that, from 2000 to 2012, 75% of deaths were caused by hanging, corroborating with the results of this study. In the Northeast, this mortality pattern was detected as well (Santos & Barbosa, 2017).…”

Análise espaço-temporal da mortalidade por suicídio no Rio Grande do Norte, Brasil, no período de 2000 a 2015

“…De acordo com a teoria econômica do suicídio de Hamermesh 21 a maioria dos estudos concorda com a hipótese de que a desigualdade de renda eleva a taxa de suicídio [23][24][25] . Estudos de revisão que reúnem dados em todo o mundo e refletem sobre a associação entre o suicídio e indicadores socioeconômicos mostram que altos níveis de desigualdade estão associados com baixas taxas de suicídio, enquanto elevados níveis de educação associam-se a altas taxas 20,26,27 .…”

Tendência de suicídio em adolescentes brasileiros entre 1997 e 2016

“…It should be emphasized that the regional trends we found may be influenced by unequal income, geographical region, level of schooling, unemployment rate, economic status and mental health conditions at the regional and municipal level. 27 Suicides predominantly occurred at home. This finding corroborates international 7 and national 8 studies, which report most suicides occurring at home owing to ease of access.…”