Major depressive disorder in detention officers

拘留人员中的重度抑郁症

阅读:1

Abstract

OBJECTIVE: To identify factors associated with major depressive disorder (MDD) in detention officers. METHODS: This cross-sectional study included all detention officers from the largest prison complex in the state of Bahia, Brazil. A self-reported questionnaire collected sociodemographic, occupational and health data. The outcome variable - MDD - was evaluated by the Patient Health Questionnaire-9 (PHQ-9) and classified by the cut-off point ≥ 10 method and the algorithm method. The association measure used was the prevalence ratio (PR). Following Cox multivariate regression, the variables were divided into two blocks: sociodemographic characteristics and work, in that order. Only variables with adjusted PR (PRadj) ≥ 1.30 were selected to compose the final models. RESULTS: The MDD prevalence by the cut-off point ≥ 10 (simple) and algorithm method in the 401 officers investigated was 18.8% and 9.3%, respectively. MDD prevalence by cut-off point ≥ 10 was higher in female officers (PRadj = 2.77), who suffered threat from factions (PRadj = 2.05), did not report institutional training for the position (PRadj = 1.38), stated that the environment and working conditions interfered in their physical health (PRadj = 3.51) and performed stress-generating activities (PRadj in increasing gradient). MDD prevalence by the algorithm method was higher in female agents (PRadj = 3.45), with tertiary education (PRadj = 1.71), who stated that the environment and working conditions interfered in their physical health (PRadj = 6.33), suffered threat from factions (PRadj = 2.14), did not report institutional training (PRadj = 1.50) and have frequent contact with inmates at work (PRadj = 1.48). CONCLUSION: The high MDD prevalence in these detention officers was associated with sociodemographic factors and, especially, aspects of their work.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。