Spatial Analysis of Suicide in Northeastern Brazil and Associated Social Factors

Datos Bibliográficos

ID21433629
AutoresThâmara Laís Silva (0000-0003-1558-0506, Universidade Estadual do Piauí), Thatiana Araujo Maranhão (0000-0003-4003-1365, Universidade Estadual do Piauí), George Jó Bezerra Sousa (0000-0003-0291-6613, Universidade Estadual do Ceará), Isaac Gonçalves Da Silva (0000-0003-1067-4765, Universidade Estadual do Piauí), José Cláudio Garcia Lira Neto (0000-0003-2777-1406, Universidade de Ribeirão Preto), Geovana Almeida dos Santos Araujo (0000-0002-4088-6868, Universidade Estadual do Piauí)
Año2022
Volumen31
Fecha de publicación2022-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaTexto & Contexto - Enfermagem (JOURNAL)
Identificadores de la revistaISSN: 0104-0707 • E-ISSN: 1980-265X
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1980-265x-tce-2021-0096
OpenAlexW4210460844
SCIELO_PIDS0104-07072022000100301
IdiomaEN
Citas recibidas6
Referencias citadas16

Objective: to analyze the spatial pattern of mortality due to suicide and social factors associated with its occurrence. Method: an ecological study that used data from the Mortality Information System (Sistema de Informação sobre Mortalidade, SIM) from 2008 to 2018. The unadjusted and Bayesian mean mortality rates were calculated for each northeastern municipality and the Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) non-spatial and spatial regression models were used. Results: the highest mortality rates due to suicide are especially concentrated in the municipalities of Piauí and Ceará. The predictive variables of suicide were as follows: Gini Index (p

Cartography · Ecological study · Economic growth · Economics · Functional illiteracy · Geography · Mortality rate · Ordinary least squares · Per capita · Political science · Population · Poverty · Socioeconomics · Sociology · Statistics · Unemployment · Unemployment rate · Demography · Food Security and Health in Diverse Populations · Health disparities and outcomes · Mathematics · Suicide and Self-Harm Studies