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解释病假中的教育差异:一项基于人群的随访研究。

Explaining educational differences in sickness absence: a population-based follow-up study.

作者信息

Kaikkonen Risto, Härkänen Tommi, Rahkonen Ossi, Gould Raija, Koskinen Seppo

机构信息

National Institute for Health and Welfare, Department of Health, Functional Capacity and Welfare, P.O. Box 30, 00271 Helsinki, Finland.

出版信息

Scand J Work Environ Health. 2015 Jul;41(4):338-46. doi: 10.5271/sjweh.3499. Epub 2015 Apr 30.

Abstract

OBJECTS

There is a marked socioeconomic gradient in sickness absences, but the causes of this gradient are poorly understood. This study examined the role of health and work-related factors as determinants of educational differences in long-term sickness absence in an 8-year follow-up.

METHODS

The study comprised a population-based sample of 5835 Finns aged 30-64 years (participation 89%, N=3946) in a register-based 8-year follow-up. This is a novel method to predict the population average of sickness absence days per working year (DWY) based on the expected outcome values using Poisson and gamma regression models.

RESULTS

The difference in the DWY between the lowest and highest educational level was clear among both men (3.2 days/year versus 8.0 days/year) and women (women 4.4 days/year versus 10.1 days/year). Adjusting for physical working conditions, health status and health behavior, and obesity attenuated the differences. Psychosocial working conditions had only a minor effect on the association. After adjusting for health and work-related factors, the difference attenuated by 1.8 days and 2.6 days among men and women, respectively.

CONCLUSIONS

Our results suggest that improvements in physical working conditions and reducing smoking, particularly among employees with a low level of education, may markedly reduce educational differences in sickness absence.

摘要

目的

病假缺勤存在明显的社会经济梯度,但这种梯度的成因尚不清楚。本研究在一项为期8年的随访中,考察了健康和工作相关因素作为长期病假缺勤教育差异决定因素的作用。

方法

该研究基于登记的8年随访,纳入了5835名年龄在30 - 64岁的芬兰人作为基于人群的样本(参与率89%,N = 3946)。这是一种基于预期结果值,使用泊松和伽马回归模型预测每个工作年病假缺勤天数(DWY)人群平均值的新方法。

结果

最低和最高教育水平之间的DWY差异在男性(每年3.2天对8.0天)和女性(每年4.4天对10.1天)中都很明显。调整身体工作条件、健康状况、健康行为和肥胖因素后,差异有所减弱。社会心理工作条件对这种关联的影响较小。在调整健康和工作相关因素后,男性和女性的差异分别减弱了1.8天和2.6天。

结论

我们的结果表明,改善身体工作条件和减少吸烟,特别是在低教育水平的员工中,可能会显著减少病假缺勤方面的教育差异。

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