工业工人的病缺轨迹和退休路径
Subas Neupane1,2,3, Prakash K C1,3,4, Lily Nosraty1,3,5
1Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.
European journal of public health
|June 27, 2025
概括
具有高,稳定的病缺模式的工业工人面临着更大的早期,非法定退休的风险. 早期干预对于那些经常病假的人来说至关重要,以支持继续就业.
科学领域:
- 职业健康 职业健康 职业健康
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 病缺模式在员工之间有所不同.
- 了解这些模式可以为退休途径提供信息.
研究的目的:
- 为了确定工业工人的病缺轨迹.
- 检查这些轨迹与退休类型之间的关联.
主要方法:
- 潜阶级增长建模确定了病缺轨迹 (2003-2008).
- 考克斯回归模型分析了与退休类型 (2019年之前) 的关联.
- 模型根据社会人口统计学和与工作有关的因素进行调整.
主要成果:
- 确定了三个病缺轨迹:低波动 (51.2%),中等稳定 (33.9%) 和高稳定 (14.9%).
- 一个高度稳定的病缺轨迹显著增加了非法定退休的风险 (HR 2.67).
- 调整包括社会人口统计学,感知健康和与工作有关的变量.
结论:
- 在私营部门的雇员中,每年的病假存在显著的异质性.
- 高稳定的病缺与非法定退休的风险增加有关.
- 早期干预对于经常因病缺勤的员工来说至关重要,以支持就业.
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