工作要求与工作控制的组合与未来病假和残疾养老金的轨迹：瑞典两百万员工的 11 年随访。

Combinations of Job Demands and Job Control and Future Trajectories of Sickness Absence and Disability Pension An 11-year Follow-up of Two Million Employees in Sweden.

机构信息

Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden (Dr Alexanderson, Dr Farrants); National Research Centre for the Working Environment, Copenhagen, Denmark (Dr Rugulies); Department of Public Health, University of Copenhagen, Copenhagen, Denmark (Dr Rugulies); Department of Psychology, University of Copenhagen, Copenhagen, Denmark (Dr Rugulies); National Research Centre for the Working Environment, Copenhagen, Denmark (Dr Framke); University of Turku, Turku, Finland (Dr Niemelä, Salonen).

出版信息

J Occup Environ Med. 2020 Oct;62(10):795-802. doi: 10.1097/JOM.0000000000001919.

DOI:10.1097/JOM.0000000000001919

PMID:32472849

Abstract

OBJECTIVE

The aim of this study was to examine the association between combinations of job demands/control and future sickness absence (SA) and disability pension (DP) trajectories over 11 years.

METHODS

A population-based prospective cohort study of female (n = 1,079,631) and male (n = 1,107,999) employees in 2001. With group-based trajectory analysis, we modeled the trajectories of annual mean SA/DP days in 2002 to 2012. We predicted trajectory memberships for job demands/control using multinomial regression.

RESULTS

We found three SA/DP trajectories for women (low stable, medium stable, and high increasing) and two for men (low stable and high increasing). Low demands/low control in women [odds ratio (OR) 1.42; 95% confidence interval (95% CI) 1.38 to 1.45], and low demands and medium/high control in men (equal OR of 1.23; 95% CI 1.18 to 1.28) were strongly associated with high increasing trajectory.

CONCLUSION

The associations between job demands/control varied between SA/DP trajectories and between sexes.

摘要

目的

本研究旨在探讨工作要求/控制组合与未来病假（SA）和残疾养老金（DP）轨迹之间的关联，随访时间为 11 年。

方法

这是一项基于人群的前瞻性队列研究，纳入了 2001 年的女性（n=1079631）和男性（n=1107999）员工。采用基于群组的轨迹分析方法，我们构建了 2002 年至 2012 年每年平均 SA/DP 天数的轨迹模型。我们使用多项回归预测工作要求/控制的轨迹分组。

结果

我们为女性发现了三种 SA/DP 轨迹（低稳定、中稳定和高增长）和男性的两种轨迹（低稳定和高增长）。女性低要求/低控制（比值比 [OR] 1.42；95%置信区间 [95%CI] 1.38 至 1.45），以及男性低要求和中/高控制（相等的 OR 为 1.23；95%CI 1.18 至 1.28）与高增长轨迹显著相关。