Programa de Pós-Graduação em Ciências da Saúde, Universidade Estadual de Maringá (UEM), Maringá, PR, Brazil.
Hospital Universitário Regional de Maringá (HUM), Maringá, PR, Brazil.
Braz J Psychiatry. 2020 Jan-Feb;42(1):46-53. doi: 10.1590/1516-4446-2018-0352.
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.
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.
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.
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.
对巴西南部巴拉那州年轻人自杀死亡进行地理空间分析,并评估其与社会经济和空间决定因素的关系。
数据来自死亡信息系统和巴西地理与统计研究所。从两个 5 年期间(1998-2002 年和 2008-2012 年)提取了三个年龄组(15-19、20-24 和 25-29 岁)的自杀死亡率(SMR)数据。通过探索性空间数据分析对地理空间数据进行了分析。我们应用贝叶斯网络算法来探索 SMR 的社会经济预测因素的网络结构。
我们观察到两个时期 SMR 存在空间依赖性,显示出 SMR 高值的地理空间聚类。我们的结果表明,市级社会经济贫困是巴拉那州青年人群自杀的一个重要决定因素,并且显著影响了高风险 SMR 聚类的形成。
虽然青年自杀是多因素的,但与巴拉那州各市 SMR 高值相关的存在可预测的地理空间和社会人口因素。15-29 岁青年的自杀发生在与社会经济贫困相关的地理集群中。基础设施和发展较差的农村地区也与 SMR 集群的增加相关。