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健康的不同领域对病假的预测作用——一项前瞻性队列研究。

Different domains of health functioning as predictors of sickness absence--a prospective cohort study.

机构信息

Hjelt-Institute, Department of Public Health, PO Box 41, FIN-00014 University of Helsinki, Finland.

出版信息

Scand J Work Environ Health. 2011 May;37(3):213-8. doi: 10.5271/sjweh.3131. Epub 2010 Nov 11.

Abstract

OBJECTIVES

The aim of this study was to examine different domains of health functioning as predictors of sickness absence.

METHODS

The Short Form 36 (SF-36) is one of the best known instruments measuring various domains of physical and mental health functioning. A questionnaire including the SF-36 was mailed to 40-60-year-old employees of the City of Helsinki in 2000-2002. For the subsequent three years, sickness absence episodes >2 weeks were derived from the employer's register. The predictive ability of the eight subscales and two component summaries of the SF-36 were compared using regression methods and receiver operating characteristic (ROC) curve analysis.

RESULTS

All eight SF-36 subscales and the two component summaries predicted the occurrence of sickness absence over the follow-up period. Among women, bodily pain was the strongest predictor, with 1 standard deviation increase in bodily pain increasing the occurrence of sickness absence by 77% [95% confidence interval (95% CI) 68-86%]. Role limitations due to emotional problems were the weakest predictor of sickness absence (29%, 95% CI 23-36%). Among men, the results were similar to those of women. In both genders, the area under the ROC curve was largest for bodily pain, general health, and physical functioning and lowest for mental health and role limitation due to emotional problems.

CONCLUSIONS

The subscales measuring physical domains of functioning were more strongly associated with sickness absence than the mental subscales. In particular, ability to perform daily activities, pain, and general health were important predictors of sickness absence >2 weeks.

摘要

目的

本研究旨在探讨健康功能的不同领域作为病假缺勤的预测指标。

方法

健康调查简表(SF-36)是评估身体和心理健康功能各领域的常用工具之一。2000 年至 2002 年,向赫尔辛基市 40-60 岁的员工邮寄了一份包含 SF-36 的问卷。在随后的 3 年中,从雇主的登记处获取缺勤超过 2 周的病假记录。使用回归方法和接收者操作特性(ROC)曲线分析比较了 SF-36 的八个子量表和两个综合得分的预测能力。

结果

SF-36 的所有八个子量表和两个综合得分都可以预测随访期间的病假缺勤情况。在女性中,身体疼痛是最强的预测指标,身体疼痛增加一个标准差会使病假缺勤的发生率增加 77%(95%置信区间 68-86%)。情感问题导致的角色限制是病假缺勤的最弱预测指标(29%,95%置信区间 23-36%)。在男性中,结果与女性相似。在两性中,ROC 曲线下面积最大的是身体疼痛、总体健康和身体功能,而心理健康和情感问题导致的角色限制最小。

结论

衡量身体功能领域的子量表与病假缺勤的相关性强于心理子量表。特别是,日常活动能力、疼痛和总体健康是缺勤 2 周以上的重要预测指标。

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