Predictors of repeated sick leave in the workplace because of mental disorders.
Predictors of repeated sick leave in the workplace because of mental disorders.
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DOI：
10.2147/ndt.s55490
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发表时间：
2014
影响因子：
3.2
通讯作者：
Mimura M
中科院分区：
文献类型：
--
作者：
Sado M;Shirahase J;Yoshimura K;Miura Y;Yamamoto K;Tabuchi H;Kato M;Mimura M
精神障碍给社会造成相当大的负担。以前的研究表明，生产力损失在整个社会负担中所占的比例最大。特别是对于抑郁症和焦虑症，超过一半的相关生产力损失发生在工作场所。许多先前的研究已经阐明了卫生保健机构中精神障碍复发/复发的危险因素。然而，在工作场所普遍存在的精神疾病中，反复请病假的风险因素尚未得到充分评估。本研究的目的是探讨哪些变量可以预测因精神障碍而请病假的工人的重复病假。获得了受雇于一家制造公司的194名受试者的数据。精神障碍被定义为精神障碍诊断与统计手册第四版（DSM-IV）中列出的障碍。返回工作（RTW）和重复病假之间的持续时间被视为一个因变量。受试者在RTW时的年龄、性别、就业时的年龄、工作任期、诊断、以前的病假天数、最近的病假持续时间和员工级别作为解释变量进行检验。采用log-rank检验进行单因素分析，采用Cox比例风险模型进行多因素分析。单变量分析结果显示，以前的病假次数是重复病假的显著预测因子。多变量分析显示，RTW时的年龄和以前的病假次数是显著的变量。年龄和以前的病假次数似乎是重复病假的预测因素。因此，对高危人群进行有效的干预，防止重复请病假是至关重要的。在未来的研究中，应该进行包括各种与工作相关的因素和来自多个公司的研究对象的分析。
Mental disorders create a considerable burden to society. Previous studies have shown that productivity loss constitutes the largest proportion of the total societal burden. For depression and anxiety disorders, in particular, more than half of the associated productivity loss occurs in the workplace. Many previous studies have clarified the risk factors for the relapse/recurrence of mental disorders in health care settings. However, the risk factors for repeated sick leave among mental disorders prevalent in the workplace have not yet been adequately evaluated. The objective of this study was to investigate which variables could predict repeated sick leave for workers with a history of sick leave because of mental disorders. Data regarding 194 subjects employed at a manufacturing company were obtained. Mental disorders were defined as disorders listed in the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV). The duration between the return to work (RTW) and the repeated sick leave was regarded as a dependent variable. The subjects’ age at the RTW, sex, age at the time of employment, job tenure, diagnosis, number of previous sick leave days, duration of most recent sick leave, and employee rank were examined as explanatory variables. Univariate analyses using a log-rank test and a multivariate analysis using the Cox proportional hazard model were conducted. The results of the univariate analyses showed that the number of previous sick-leave episodes was a significant predictor of repeated sick leave. A multivariate analysis revealed that age at RTW and the number of previous sick-leave episodes were significant variables. Age and the number of previous sick-leave episodes appeared to be predictors of repeated sick leave. Therefore, effective intervention to prevent repeated sick leave for those with high risk is quite crucial. Analyses including various work-related factors with subjects from multiple companies should be conducted in future studies.