School of Health Sciences, Faculty of Social Sciences, 33014, University of Tampere, Tampere, Finland.
Scand J Work Environ Health. 2018 Sep 1;44(5):496-502. doi: 10.5271/sjweh.3742. Epub 2018 Jun 4.
Objectives We examined whether sickness absence during participation in a state subsidized re-employment program among long-term unemployed people was associated with subsequent labor market attachment. Methods We linked 18 944 long-term unemployed participants (aged 18-60 years) of a six-month subsidized re-employment program in Finland to their records of sickness absence during the program and labor market status after the program. We used the latent class growth model to identify labor market attachment trajectories over a six-year follow-up period and multinomial logistic regression to investigate the association between sickness absence and labor market attachment trajectories. Results We identified four labor market attachment trajectories: "strengthening", (77%), "delayed" (6%), "leavers" (10%), and "non-attached" (7%). Sickness absence was associated with an increased risk of belonging to the leavers and non-attached trajectories. Having >30 days of sickness absence during the six-month re-employment program increased the risk for belonging to the future non-attached trajectory in all age groups, but in particular for those aged 30-44 [odds ratio (OR) 7.35, 95% confidence interval (CI) 4.85-11.14] and 18-29 years (OR 5.38, 95%CI 3.76-7.69). At these ages, having fewer than 30 days sickness absences was also associated with an elevated risk of belonging to the non-attached trajectory, while this risk was lower for those aged 45-60. Conclusions Sickness absence during participation in a subsidized re-employment program increased the risk for poor labor market attachment during the subsequent six years. The risk was particularly high among younger participants with >30 days of sickness absence.
目的 我们考察了长期失业者参与国家补贴再就业计划期间的病假是否与随后的劳动力市场参与相关。
方法 我们将芬兰一项为期六个月的补贴再就业计划的 18944 名长期失业参与者(年龄在 18-60 岁之间)与他们在计划期间的病假记录和计划后的劳动力市场状况相关联。我们使用潜在类别增长模型来识别六年随访期间的劳动力市场参与轨迹,并使用多变量逻辑回归来研究病假与劳动力市场参与轨迹之间的关系。
结果 我们确定了四种劳动力市场参与轨迹:“增强”(77%)、“延迟”(6%)、“离职”(10%)和“非参与”(7%)。病假与属于离职和非参与轨迹的风险增加相关。在六个月的再就业计划期间有超过 30 天的病假会增加所有年龄段属于未来非参与轨迹的风险,但对于 30-44 岁(优势比 [OR] 7.35,95%置信区间 [CI] 4.85-11.14)和 18-29 岁(OR 5.38,95%CI 3.76-7.69)的人群风险尤其高。在这些年龄段,病假少于 30 天也与属于非参与轨迹的风险增加相关,而对于 45-60 岁的人群,这种风险较低。
结论 参与补贴再就业计划期间的病假会增加随后六年劳动力市场参与不良的风险。对于有超过 30 天病假的年轻参与者来说,这种风险尤其高。