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

被引:9
|
作者
Alarcao, Ana C. [1 ]
Agnolo, Catia M. Dell' [2 ]
Vissoci, Joao R. [3 ,4 ]
Carvalho, Elias C. A. [5 ,6 ,7 ]
Staton, Catherine A. [8 ]
de Andrade, Luciano [1 ,3 ]
Fontes, Katia B. [1 ]
Pelloso, Sandra M. [1 ]
Nievola, Julio C. [7 ]
Carvalho, Maria D. [1 ]
机构
[1] Univ Estadual Maringa, Programa Posgrad Ciencias Saude, Maringa, Parana, Brazil
[2] Hosp Univ Reg Maringa HUM, Maringa, Parana, Brazil
[3] Univ Estadual Maringa, Dept Med, Maringa, Parana, Brazil
[4] Duke Univ, Duke Global Hlth Inst, Global Neurosurg & Neurosci Div, Durham, NC USA
[5] Univ Estadual Maringa, NPD, Maringa, Parana, Brazil
[6] Pontificia Univ Catolica Parana PUCPR, DCAM, Curitiba, Parana, Brazil
[7] PUCPR, Programa Posgrad Informat PPGIa, Curitiba, Parana, Brazil
[8] Duke Univ, Duke Global Hlth Inst, Dept Surg, Durham, NC USA
关键词
Suicide; socioeconomic factors; spatial analysis; public health; epidemiology; TRENDS; RISK;
D O I
10.1590/1516-4446-2018-0352
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Objective: To conduct a geospatial analysis of suicide deaths among young people in the state of Parana, 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 Parana, 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 Parana. 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.
引用
收藏
页码:46 / 53
页数:8
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