Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability

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 Geog...

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Main Authors: Ana C. Alarcão, Cátia M. Dell’ Agnolo, João R. Vissoci, Elias C.A. Carvalho, Catherine A. Staton, Luciano de Andrade, Kátia B. Fontes, Sandra M. Pelloso, Júlio C. Nievola, Maria D. Carvalho
Format: Article
Language:English
Published: Associação Brasileira de Psiquiatria (ABP)
Series:Brazilian Journal of Psychiatry
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462019005014101&lng=en&tlng=en
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spelling doaj-87590691aa214c3e89dac4cb18766dd72020-11-25T01:11:42ZengAssociação Brasileira de Psiquiatria (ABP)Brazilian Journal of Psychiatry1809-452X10.1590/1516-4446-2018-0352S1516-44462019005014101Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerabilityAna C. AlarcãoCátia M. Dell’ AgnoloJoão R. VissociElias C.A. CarvalhoCatherine A. StatonLuciano de AndradeKátia B. FontesSandra M. PellosoJúlio C. NievolaMaria D. CarvalhoObjective: 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462019005014101&lng=en&tlng=enSuicidesocioeconomic factorsspatial analysispublic healthepidemiology
collection DOAJ
language English
format Article
sources DOAJ
author Ana C. Alarcão
Cátia M. Dell’ Agnolo
João R. Vissoci
Elias C.A. Carvalho
Catherine A. Staton
Luciano de Andrade
Kátia B. Fontes
Sandra M. Pelloso
Júlio C. Nievola
Maria D. Carvalho
spellingShingle Ana C. Alarcão
Cátia M. Dell’ Agnolo
João R. Vissoci
Elias C.A. Carvalho
Catherine A. Staton
Luciano de Andrade
Kátia B. Fontes
Sandra M. Pelloso
Júlio C. Nievola
Maria D. Carvalho
Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
Brazilian Journal of Psychiatry
Suicide
socioeconomic factors
spatial analysis
public health
epidemiology
author_facet Ana C. Alarcão
Cátia M. Dell’ Agnolo
João R. Vissoci
Elias C.A. Carvalho
Catherine A. Staton
Luciano de Andrade
Kátia B. Fontes
Sandra M. Pelloso
Júlio C. Nievola
Maria D. Carvalho
author_sort Ana C. Alarcão
title Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
title_short Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
title_full Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
title_fullStr Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
title_full_unstemmed Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
title_sort suicide mortality among youth in southern brazil: a spatiotemporal evaluation of socioeconomic vulnerability
publisher Associação Brasileira de Psiquiatria (ABP)
series Brazilian Journal of Psychiatry
issn 1809-452X
description 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.
topic Suicide
socioeconomic factors
spatial analysis
public health
epidemiology
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462019005014101&lng=en&tlng=en
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