巴西南部青年自杀死亡率:社会经济脆弱性的时空评估

A. C. Alarcão, C. M. Dell Agnolo, J. Vissoci, Elias C A Carvalho, C. Staton, Luciano de Andrade, K. B. Fontes, S. Pelloso, J. C. Nievola, M. Carvalho
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引用次数: 12

摘要

目的:对巴西南部帕拉纳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。方法:数据来自死亡率信息系统和巴西地理与统计研究所。从1998-2002年和2008-2012年两个五年期间提取了三个年龄组(15-19岁、20-24岁和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分析。我们运用贝叶斯网络算法来探索SMR社会经济预测因子的网络结构。结果:我们在两个时期都观察到了SMR的空间依赖性,揭示了高SMR的地理空间集群。研究结果表明,城市层面的社会经济剥夺是巴拉那地区青少年自杀的重要决定因素,并显著影响自杀者高危群体的形成。结论:虽然青少年自杀是多因素的,但在帕拉纳岛的城市中,存在与高SMR相关的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剥夺有关的地理集群中。基础设施和发展水平较差的农村环境也与小规模小规模疾病集群的增加有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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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