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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.
Afiliação
  • Alarcão AC; Programa de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.
  • Dell' Agnolo CM; Hospital Universitário Regional de Maringá (HUM), Maringá, PR, Brazil.
  • Vissoci JR; Departamento de Medicina, UEM, Maringá, PR, Brazil.
  • Carvalho ECA; Global Neurosurgery and Neuroscience Division, Duke Global Health Institute, Duke University, Durham, North California, USA.
  • Staton CA; Núcleo de Processamento de Dados (NPD), UEM, Maringá, PR, Brazil.
  • de Andrade L; Descoberta de Conhecimento e Aprendizagem de Máquina (DCAM), Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, PR, Brazil.
  • Fontes KB; Programa de Pós-Graduação em Informática (PPGIa), PUCPR, Curitiba, PR, Brazil.
  • Pelloso SM; Department of Surgery, Duke Global Health Institute, Duke University, Durham, North California, USA.
  • Nievola JC; Programa de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.
  • Carvalho MD; Departamento de Medicina, UEM, Maringá, PR, Brazil.
Braz J Psychiatry ; 42(1): 46-53, 2020.
Article em En | MEDLINE | ID: mdl-31433002
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 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Populações Vulneráveis / Suicídio Consumado Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Adolescent / Adult / Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Revista: Braz J Psychiatry Assunto da revista: PSIQUIATRIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Populações Vulneráveis / Suicídio Consumado Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Adolescent / Adult / Female / Humans / Male País/Região como assunto: America do sul / Brasil Idioma: En Revista: Braz J Psychiatry Assunto da revista: PSIQUIATRIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil