Sickness absence trajectories and retirement pathways among industrial workers.

IF 3.7 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Subas Neupane, Prakash K C, Lily Nosraty, Saila Kyrönlahti, Clas-Håkan Nygård, Jodi Oakman
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Abstract

We studied the trajectories of sickness absences among industrial workers over 6 years and examined whether the membership of trajectories was associated with subsequent retirement type for 11 years. We used data from one of the largest Finnish food industry companies that responded to a questionnaire survey in 2003. Sickness absence days per year from 2003 to 2008 were obtained from the company's registers and linked to the register of Finnish Centre for Pension data (statutory and non-statutory) until the end of 2019. We analysed data from 633 individuals who had information on sickness absence and the type of retirement. Latent class growth modelling was used to identify trajectories of sickness absence days per year, and Cox-regression models were used to examine the association of trajectories with retirement type. The models were adjusted for baseline sociodemographic, work-related physical, and psychosocial factors. We identified three distinct trajectories of sickness absence during the 6-year period. Most respondents (51.2%) had low-fluctuating, one-third (33.9%) had moderate-stable, and 14.9% had a high-stable sickness absence trajectory throughout. The high-stable trajectory was associated with a higher risk of non-statutory retirement (hazard ratio 2.67, 95% confidence interval 1.69-4.23) when adjusted for sociodemographic, perceived health, and work-related variables. We found significant heterogeneity in the number of sick absence days per year among the private sector employees over a period of 6 years. An increase in the risk of non-statutory retirement among those with high-stable sickness absences signifies the importance of early intervention to support individuals experiencing recurring sickness absence whilst employed.

产业工人的疾病缺席轨迹和退休路径。
我们研究了产业工人6年以上的病假轨迹,并考察了轨迹的成员资格是否与随后11年的退休类型相关。我们使用的数据来自芬兰最大的食品工业公司之一,该公司对2003年的问卷调查做出了回应。从2003年到2008年,每年的病假天数从公司的登记册中获取,并与芬兰养老金数据中心(法定和非法定)的登记册相关联,直到2019年底。我们分析了633名个人的数据,他们有病假和退休类型的信息。使用潜在类别增长模型来确定每年病假天数的轨迹,并使用cox回归模型来检查轨迹与退休类型的关联。这些模型根据基线社会人口学、工作相关的身体和心理因素进行了调整。在6年期间,我们确定了三种不同的疾病缺席轨迹。大多数受访者(51.2%)具有低波动,三分之一(33.9%)具有中等稳定,14.9%具有高稳定的缺勤轨迹。当对社会人口、感知健康和工作相关变量进行调整后,高稳定轨迹与较高的非法定退休风险相关(风险比2.67,95%置信区间1.69-4.23)。我们发现,在6年的时间里,私营部门雇员每年的病假天数存在显著的异质性。在那些高稳定性疾病缺勤的人中,非法定退休风险的增加表明,早期干预的重要性,以支持在就业期间经常生病缺勤的个人。
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来源期刊
European Journal of Public Health
European Journal of Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
5.60
自引率
2.30%
发文量
2039
审稿时长
3-8 weeks
期刊介绍: The European Journal of Public Health (EJPH) is a multidisciplinary journal aimed at attracting contributions from epidemiology, health services research, health economics, social sciences, management sciences, ethics and law, environmental health sciences, and other disciplines of relevance to public health. The journal provides a forum for discussion and debate of current international public health issues, with a focus on the European Region. Bi-monthly issues contain peer-reviewed original articles, editorials, commentaries, book reviews, news, letters to the editor, announcements of events, and various other features.
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