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病假、就业史和高风险员工:一项长达 10 年的纵向研究。

Sickness absence, employment history, and high-risk employees: a 10-year longitudinal study.

机构信息

Center for Work-Related Diseases, Finnish Institute of Occupational Health, Topeliuksenkatu, Finland.

出版信息

J Occup Environ Med. 2010 Sep;52(9):913-9. doi: 10.1097/JOM.0b013e3181f12ee0.

Abstract

OBJECTIVE

To investigate the impact of employment characteristics on the occurrence of long-term sickness absence taking socioeconomic covariates into account.

METHODS

A longitudinal analysis was conducted for 62,745 employees aged 18 to 64 during 1990-1999. A nonlinear random-effects model was used. In particular, the missing data patterns and their relationship with sickness absence were studied.

RESULTS

Strong relationship of socioeconomic background with occurrence of long-term sickness absence (≥ 3 days) was found. The missing data patterns significantly predicted sickness absence for female employees. In subsequent analysis, the discontinuous employment history with high occurrence of short-term sickness absence (<3 days) appeared to be strongly linked to long-term sickness absence in young women.

CONCLUSIONS

An investigation of missing values and short-term sickness absence as predictors for long-term sickness absence uncovered that young women with irregular employment history constituted high-risk employees.

摘要

目的

探讨在考虑社会经济因素的情况下,就业特征对长期病假发生的影响。

方法

对 1990-1999 年间 62745 名 18 至 64 岁的员工进行了纵向分析。使用非线性随机效应模型。特别研究了缺失数据模式及其与病假的关系。

结果

发现社会经济背景与长期病假(≥3 天)的发生有很强的关系。缺失数据模式对女性员工的病假有显著预测作用。在后续分析中,短期病假(<3 天)高发且不连续的就业史似乎与年轻女性的长期病假密切相关。

结论

对缺失值和短期病假作为长期病假预测因子的调查发现,就业史不规则的年轻女性构成了高风险员工。

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