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Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
Alarcão, Ana C; Dell' Agnolo, Cátia M; Vissoci, João R; Carvalho, Elias C. A; Staton, Catherine A; de Andrade, Luciano; Fontes, Kátia B; Pelloso, Sandra M; Nievola, Júlio C; Carvalho, Maria D.
Afiliación
  • Alarcão, Ana C; Universidade Estadual de Maringá (UEM). Programa de Pós-Graduação em Ciências da Saúde. Maringá. BR
  • Dell' Agnolo, Cátia M; Hospital Universitário Regional de Maringá (HUM). Maringá. BR
  • Vissoci, João R; UEM. Departamento de Medicina. Maringá. BR
  • Carvalho, Elias C. A; UEM. Núcleo de Processamento de Dados (NPD). Maringá. BR
  • Staton, Catherine A; Duke Global Health Institute, Duke University. Department of Surgery. Durham. US
  • de Andrade, Luciano; Universidade Estadual de Maringá (UEM). Programa de Pós-Graduação em Ciências da Saúde. Maringá. BR
  • Fontes, Kátia B; Universidade Estadual de Maringá (UEM). Programa de Pós-Graduação em Ciências da Saúde. Maringá. BR
  • Pelloso, Sandra M; Universidade Estadual de Maringá (UEM). Programa de Pós-Graduação em Ciências da Saúde. Maringá. BR
  • Nievola, Júlio C; PUCPR. Programa de Pós-Graduação em Informática (PPGIa). Curitiba. BR
  • Carvalho, Maria D; Universidade Estadual de Maringá (UEM). Programa de Pós-Graduação em Ciências da Saúde. Maringá. BR
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 42(1): 46-53, Jan.-Feb. 2020. tab, graf
Article en En | LILACS | ID: biblio-1055354
Biblioteca responsable: BR1.1
ABSTRACT

Objective:

To conduct a geospatial analysis of suicide deaths among young people in the state of Paraná, southern Brazil, and evaluate their association with socioeconomic and spatial determinants.

Methods:

Data were obtained from the Mortality Information System and the Brazilian Institute of Geography and Statistics. Data on suicide mortality rates (SMR) were extracted for three age groups (15-19, 20-24, and 25-29 years) from two 5-year periods (1998-2002 and 2008-2012). Geospatial data were analyzed through exploratory spatial data analysis. We applied Bayesian networks algorithms to explore the network structure of the socioeconomic predictors of SMR.

Results:

We observed spatial dependency in SMR in both periods, revealing geospatial clusters of high SMR. Our results show that socioeconomic deprivation at the municipality level was an important determinant of suicide in the youth population in Paraná, and significantly influenced the formation of high-risk SMR clusters.

Conclusion:

While youth suicide is multifactorial, there are predictable geospatial and sociodemographic factors associated with high SMR among municipalities in Paraná. Suicide among youth aged 15-29 occurs in geographic clusters which are associated with socioeconomic deprivation. Rural settings with poor infrastructure and development also correlate with increased SMR clusters.
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Texto completo: 1 Índice: LILACS Asunto principal: Poblaciones Vulnerables / Suicidio Completo Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male País/Región como asunto: America do sul / Brasil Idioma: En Revista: Braz. J. Psychiatry (São Paulo, 1999, Impr.) Asunto de la revista: PSIQUIATRIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Índice: LILACS Asunto principal: Poblaciones Vulnerables / Suicidio Completo Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Male País/Región como asunto: America do sul / Brasil Idioma: En Revista: Braz. J. Psychiatry (São Paulo, 1999, Impr.) Asunto de la revista: PSIQUIATRIA Año: 2020 Tipo del documento: Article