摘要：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 (PR
adj) ≥ 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 (PR
adj = 2.77), who suffered threat from factions (PR
adj = 2.05), did not report institutional training for the position (PR
adj = 1.38), stated that the environment and working conditions interfered in their physical health (PR
adj = 3.51) and performed stress-generating activities (PR
adj in increasing gradient). MDD prevalence by the algorithm method was higher in female agents (PR
adj = 3.45), with tertiary education (PR
adj = 1.71), who stated that the environment and working conditions interfered in their physical health (PR
adj = 6.33), suffered threat from factions (PR
adj = 2.14), did not report institutional training (PR
adj = 1.50) and have frequent contact with inmates at work (PR
adj = 1.48).
CONCLUSION
The high MDD prevalence in these detention officers was associated with sociodemographic factors and, especially, aspects of their work.
关键词：Prisons; Depressive Disorder; Major; Patient Health Questionnaire; Occupational Health;Prisões; Transtorno Depressivo Maior; Questionário de Saúde do Paciente; Saúde do Trabalhador
