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不同职业类别的病假缺勤与残疾退休的关系:2007-2014 年芬兰一个工作年龄段队列的基于登记的研究。

Sickness absence as a predictor of disability retirement in different occupational classes: a register-based study of a working-age cohort in Finland in 2007-2014.

机构信息

Department of Social Research, University of Turku, Turku, Finland.

The Social Insurance Institution of Finland (KELA), Helsinki, Finland.

出版信息

BMJ Open. 2018 May 9;8(5):e020491. doi: 10.1136/bmjopen-2017-020491.

Abstract

OBJECTIVES

The objective of the study was to examine diagnosis-specific sickness absences of different lengths as predictors of disability retirement in different occupational classes.

DESIGN

Register-based prospective cohort study up to 8 years of follow-up.

PARTICIPANTS

A 70% random sample of the non-retired Finnish population aged 25-62 at the end of 2006 was included (n=1 727 644) and linked to data on sickness absences in 2005 and data on disability retirement in 2007-2014.

MAIN OUTCOME MEASURES

Cox proportional hazards regression was utilised to analyse the association of sickness absence with the risk of all-cause disability retirement during an 8-year follow-up.

RESULTS

The risk of disability retirement increased with increasing lengths of sickness absence in all occupational classes. A long sickness absence was a particularly strong predictor of disability retirement in upper non-manual employees as among those with over 180 sickness absence days the HR was 9.19 (95% CI 7.40 to 11.40), but in manual employees the HR was 3.51 (95% CI 3.23 to 3.81) in men. Among women, the corresponding HRs were 7.26 (95% CI 6.16 to 8.57) and 3.94 (95% CI 3.60 to 4.30), respectively. Adjusting for the diagnosis of sickness absence partly attenuated the association between the length of sickness absence and the risk of disability retirement in all employed groups.

CONCLUSIONS

A long sickness absence is a strong predictor of disability retirement in all occupational classes. Preventing the accumulation of sickness absence days and designing more efficient policies for different occupational classes may be crucial to reduce the number of transitions to early retirement due to disability.

摘要

目的

本研究旨在考察不同长度的特定诊断病假对不同职业类别的残疾退休的预测作用。

设计

登记处前瞻性队列研究,随访时间长达 8 年。

参与者

纳入了 2006 年底年龄在 25-62 岁之间、未退休的芬兰人群的 70%随机样本(n=1727644),并将其与 2005 年的病假数据和 2007-2014 年的残疾退休数据相关联。

主要观察指标

利用 Cox 比例风险回归分析了病假与 8 年随访期间全因残疾退休风险之间的关联。

结果

在所有职业类别中,残疾退休风险随着病假时间的延长而增加。长病假是高层非体力劳动者残疾退休的一个特别强的预测指标,病假超过 180 天的 HR 为 9.19(95%CI 7.40 至 11.40),而在体力劳动者中,男性的 HR 为 3.51(95%CI 3.23 至 3.81)。对于女性,相应的 HR 分别为 7.26(95%CI 6.16 至 8.57)和 3.94(95%CI 3.60 至 4.30)。调整病假诊断后,在所有就业群体中,病假长度与残疾退休风险之间的关联程度有所减弱。

结论

长病假是所有职业类别的残疾退休的一个强有力的预测指标。预防病假天数的积累和为不同职业类别的员工制定更有效的政策,可能对减少因残疾而提前退休的人数至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a68e/5942421/2e4798c43484/bmjopen-2017-020491f01.jpg

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