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Abstract：
BACKGROUND: Sickness absence has been linked to short and long, as well as poor, sleep in a few studies. Such studies have started from a baseline measurement and followed up on subsequent sickness absence. In the present study, however, we focused on the change in biennial reports of sickness absence and sleep measures (using work-related variables as possible modifiers). We also searched for an interaction between predictors and gender since women report more sleep problems.
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.
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.
摘要：
背景：疾病缺席与短期和长期有关，和穷人一样，在一些研究中睡觉。此类研究从基线测量开始，并跟进随后的疾病缺失。在本研究中,然而,我们关注两年期报告中关于疾病缺勤和睡眠测量的变化(使用与工作相关的变量作为可能的修饰符).我们还搜索了预测因素和性别之间的相互作用，因为女性报告了更多的睡眠问题。
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。
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。
