Farrants Kristin, Cybulski Lukasz, Alexanderson Kristina
Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, 171 77, Sweden.
Sci Rep. 2025 Apr 20;15(1):13627. doi: 10.1038/s41598-025-97025-z.
Sickness absence (SA) changed in various occupations during the COVID-19 pandemic. The aim was to investigate the prevalence of all-cause sickness absence (SA) during the COVID-19 pandemic in relation to in the preceding years, as well as factors associated with all-cause SA and SA due to COVID-19 and COVID-like diagnoses during the COVID-19 pandemic among blue-collar workers in the retail and wholesale industry. A population-based longitudinal cohort study using microdata linked from nationwide registers in Sweden. All 297 378 blue-collar employees aged 18-67 years in wholesale and retail in 2019 were followed during 2016-2021 regarding SA in spells > 14 days. Yearly prevalence rates were calculated for all-cause SA in sociodemographic and occupational groups. Logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for all-cause SA and SA due to COVID-19 or COVID-like diagnoses in 2020 and 2021. The annual prevalences of SA were 7.5-8% in 2016-2018, 10% in 2020, and 9% in 2021. The prevalence of SA due to COVID-19 or COVID-like diagnoses was 2.1% in 2020 and 1.6% in 2021. The OR was higher in the older age groups (OR age 55-64 = 2.38, 95% CI 2.20-2.57 compared to age 25-34). There were few significant occupational differences, however, warehouse and terminal staff had a higher OR (1.37, 1.27-1.48) than sales assistants, daily goods. While SA rates increased during the COVID-19 pandemic, the distribution of SA between sociodemographic or occupational groups did not change markedly. The distribution of SA due to COVID-19 and COVID-like diagnoses was similar to all-cause SA.
在新冠疫情期间,不同职业的病假情况发生了变化。目的是调查新冠疫情期间全因病假的患病率与前几年相比如何,以及零售和批发行业蓝领工人在新冠疫情期间与全因病假以及因新冠和类似新冠诊断导致的病假相关的因素。一项基于人群的纵向队列研究,使用了瑞典全国登记处链接的微观数据。对2019年批发和零售行业中所有297378名年龄在18 - 67岁的蓝领员工在2016 - 2021年期间超过14天的病假情况进行了跟踪。计算了社会人口统计学和职业群体中全因病假的年度患病率。采用逻辑回归计算2020年和2021年全因病假以及因新冠或类似新冠诊断导致的病假的比值比(OR)和95%置信区间(CI)。2016 - 2018年病假的年患病率为7.5 - 8%,2020年为10%,2021年为9%。2020年因新冠或类似新冠诊断导致的病假患病率为2.1%,2021年为1.6%。年龄较大的组OR值更高(55 - 64岁组的OR = 2.38,95% CI 2.20 - 2.57,与25 - 34岁组相比)。职业差异不大,然而,仓库和码头工作人员的OR值(1.37,1.27 - 1.48)高于日用品销售助理。虽然在新冠疫情期间病假率有所上升,但社会人口统计学或职业群体之间病假的分布没有明显变化。因新冠和类似新冠诊断导致的病假分布与全因病假相似。