METHODS: A total of 5377 individuals (random sample from the Swedish working population) participated across five biennial points of measurement. Data were analyzed using mixed-model logistic regression.
RESULTS: The multivariable analysis of variation across the five time points showed that the significant sleep-related predictors of sickness absence (at least one occurrence during the preceding year) were sleep duration during days off (OR = 1.16, 95% Cl = 1.08;1.24) and sleep problems (OR = 1.42, 95% CI = 1.33;1.51). These also remained significant after the addition of psychosocial work factors. Sensitivity analyses indicated that a 9 h sleep duration during days off may represent a critical level in terms of increased sickness absence and that late rising contributed to the association between sickness absence and long sleep duration during days off. Women reported a higher sickness absence than men (OR = 2.16, 95% CI = 1.74;2.68) and had a higher probability of sickness absence for long sleep during days off and during the workweek than men.
CONCLUSIONS: It was concluded that increases in sleep problems and sleep duration during days off are longitudinally associated with changes in sickness absence and that women have a closer link between the two. This suggests that treatment for sleep problems may reduce the risk of sickness absence.
方法:共有5377个人(来自瑞典工作人群的随机样本)参加了五个两年期的测量。使用混合模型逻辑回归分析数据。
结果:对五个时间点的变化的多变量分析表明,与睡眠相关的疾病缺席的重要预测因子(前一年至少发生一次)是休息日的睡眠时间(OR=1.16,95%Cl=1.08;1.24)和睡眠问题(OR=1.42,95%CI=1.33;1.51)。在加入心理社会工作因素后,这些因素也仍然很重要。敏感性分析表明,休假期间9小时的睡眠时间可能代表疾病缺勤增加的临界水平,而较晚的上升则导致了疾病缺勤与休假期间长睡眠时间之间的关联。女性报告的缺病率高于男性(OR=2.16,95%CI=1.74;2.68),并且在休息日和工作周期间长时间睡眠的缺病率高于男性。
结论:得出的结论是,休假期间睡眠问题和睡眠时间的增加与疾病缺席的变化纵向相关,女性在两者之间有更紧密的联系。这表明睡眠问题的治疗可以降低疾病缺席的风险。