Psychosocial work environment and depression: Epidemiologic assessment of the demand-control model
Psychosocial work environment and depression: Epidemiologic assessment of the demand-control model
复制标题
DOI：
10.2105/ajph.90.11.1765
复制
发表时间：
2000-11-01
影响因子：
12.7
通讯作者：
Eaton, WW
中科院分区：
文献类型：
--
作者：
Mausner-Dorsch, H;Eaton, WW
目标。本研究探讨了职业变量与 3 种抑郁症（重度抑郁发作、抑郁综合征和烦躁不安）之间的关系。假设从事高心理压力（高心理要求和低决策权威）职业的个人相对于从事其他 3 种可能情况的职业的人，抑郁症患病率更高。方法。该分析基于 905 名全职受访者的数据，这些受访者在 1993 年至 1996 年间马里兰州巴尔的摩流行病学集水区计划的后续访谈前一年内全职工作。心理社会工作环境、社会人口统计学变量和精神病理学在家庭访谈中进行了评估，其中包括国家心理健康研究所诊断访谈计划。因素分析后，心理社会工作环境的需求控制模型的子量表略有修改。结果。高工作压力与所有 3 种抑郁症的患病率较高有关，尤其是重度抑郁症发作。对于女性来说，结果更为明显。对于男性来说，未婚是最强的患病率相关性。结论。重度抑郁发作、抑郁综合征和烦躁不安与需求控制模型的心理社会维度密切相关。
Objectives. This study examined the relation between occupational variables and 3 forms of depression (major depressive episode, depressive syndrome, and dysphoria). It was hypothesized that individuals working in occupations with high psychologic strain (high psychologic demands and low decision authority) would have a higher prevalence of depression relative to those working in occupations with the other 3 possible conditions.Methods. The analysis was based on data for 905 respondents who were employed full-time in the year before the follow-up interview for the Epidemiologic Catchment Area Program in Baltimore, Md between 1993 and 1996. Psychosocial work environment, sociodemographic variables, and psychopathology were assessed in a household interview that included the National Institute of Mental Health Diagnostic Interview Schedule. Subscales for the demand-control model for psychosocial work environment were modified slightly after factor analysis.Results. High job strain was associated with greater prevalence of all 3 forms of depression, especially major depressive episode. The results were stronger for women; for men, beings unmarried was the strongest prevalence correlate.Conclusions. Major depressive episode, depressive syndrome, and dysphoria are strongly associated with the psychosocial dimensions of the demand control model.