Department of Occupational Health Surveillance (NOA), National Institute of Occupational Health (STAMI), Oslo, Norway.
Eur J Public Health. 2023 Feb 3;33(1):69-73. doi: 10.1093/eurpub/ckac149.
Work-life interference has been associated with adverse health outcomes. Here, we quantify the association between work-life interference and subsequent sick leave.
Respondents from a randomly drawn cohort of the general working Norwegian population were interviewed in 2009, 2013 and/or 2016. Mixed-effects logistic regression models were used to assess prospective associations of self-reported work-life interference and risk of subsequent physician-certified sick leave of 1-16 days (low-level) and >16 days (high-level) in strata of men and women. To quantify the importance of work-life interference as risk factors for sick leave, we estimated the population attributable risk (PAR).
Both low- and high-level sick leave were most prevalent among women while the prevalence of work-life interference was similar between sexes. Risk of sick leave was higher among women reporting work-life interference sometimes or often in comparison with seldom or never {low- and high-level sick leave odds ratio (OR) = 1.21 [95% confidence interval (CI) = 1.07-1.37] and 1.30 (95% CI = 1.14-1.49), respectively}. The associations for high-level sick leave progressively increased with the level of work-life interference [highest OR = 1.44 (95% CI = 1.19-1.75)]. In men, there was no consistent higher risk of sick leave according to more frequent work-life interference [low- and high-level sick leave OR = 1.00 (95% CI = 0.87-1.14) and 0.98 (95% CI = 0.84-1.16), respectively], but the risk of high-level sick leave tended to be higher among men reporting work-life interference often (OR = 1.21, 95% CI = 0.98-1.50). Estimating PAR, 6.69% (95% CI = 1.52-11.74) of low-level and 9.94% (95% CI = 4.22-15.45) of high-level sick leave could be attributed to work-life interference among women.
Self-reported work-life interference was associated with a higher risk of sick leave, with the most consistent results among women.
工作-生活干扰与不良健康结果有关。在这里,我们定量评估了工作-生活干扰与随后 1-16 天(低水平)和 >16 天(高水平)的医生证明的病假之间的关联。
从挪威普通工作人群中随机抽取的队列中的受访者在 2009 年、2013 年和/或 2016 年接受了采访。使用混合效应逻辑回归模型评估自我报告的工作-生活干扰与随后低水平(1-16 天)和高水平(>16 天)病假之间的前瞻性关联。为了量化工作-生活干扰作为病假风险因素的重要性,我们估计了人群归因风险(PAR)。
低水平和高水平的病假在女性中最为普遍,而工作-生活干扰的患病率在性别之间相似。与很少或从不报告工作-生活干扰的女性相比,报告有时或经常发生工作-生活干扰的女性患病假的风险更高{低水平和高水平病假的比值比(OR)分别为 1.21(95%置信区间(CI)为 1.07-1.37)和 1.30(95% CI 为 1.14-1.49)}。高水平病假的关联随着工作-生活干扰水平的增加而逐渐增加[最高 OR 为 1.44(95% CI 为 1.19-1.75)]。在男性中,根据更频繁的工作-生活干扰,没有更高的病假风险[低水平和高水平病假的 OR 分别为 1.00(95% CI 为 0.87-1.14)和 0.98(95% CI 为 0.84-1.16)],但报告工作-生活干扰经常的男性患高水平病假的风险似乎更高(OR 为 1.21,95% CI 为 0.98-1.50)。估计 PAR,6.69%(95% CI 为 1.52-11.74)的低水平和 9.94%(95% CI 为 4.22-15.45)的高水平病假可归因于女性的工作-生活干扰。
自我报告的工作-生活干扰与病假风险增加相关,在女性中结果最为一致。