Nakata Akinori, Haratani Takashi, Takahashi Masaya, Kawakami Norito, Arito Heihachiro, Kobayashi Fumio, Fujioka Yosei, Fukui Satoe, Araki Shunichi
National Institute of Industrial Health, Kawasaki, Japan.
Chronobiol Int. 2004;21(6):899-912. doi: 10.1081/cbi-200038104.
A cross-sectional study was conducted to evaluate the contribution of daily sleep habits and depressive symptoms to sickness absences of shift workers. A self-administered questionnaire that solicited answers about sleep, symptoms of depression, sickness absence, diseases/injuries, and lifestyle factors was submitted to a sample of 522 rotating shift workers between the ages of 18-59 (mean 27) yrs of an electric equipment manufacturing company. The seven features of sleep queried were daily hours of sleep, time to fall asleep, awakening during sleep, early morning awakening, sleep well at night, sufficiency of sleep, and excessive daytime sleepiness at work. The responses were assessed over the subject's previous 1-yr period. Each sleep feature, except daily sleeping hours, was dichotomized by the following responses: (1) taking more than 30min to fall asleep (difficulty initiating sleep; DIS), (2) awakening during sleep almost every day (difficulty maintaining sleep; DMS), (3) early morning awakening almost every day (EMA), (4) sleeping very poorly or not so well at night, (5) definite or somewhat insufficient nightly sleep, and (6) excessive daytime sleepiness at work almost every day (EDS). Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. Sickness absence was calculated by asking subjects "How many days in total have you been absent from work due to sickness, including paid vacation, in the last 1-yr period?" The responses were divided into three groups that included no (0 days) sickness absences (reference group, n=235 subjects), 1 to 4 days (short-term, n=199 subjects), and 5 days or more (long-term, n = 88 subjects). Compared to the prevalence of sleep features of the reference group, workers with short-term absence showed a significantly higher prevalence of EMA with an odds ratio (OR) of 5.3, 95% confidence interval (CI) 1.3-22.0. Long-term absence was significantly associated with DMS (OR = 2.1, 95%CI 1.0-4.6), EMA (OR = 5.6, 95%CI 1.0-28.7), sleeping poorly at night (OR= 2.6, 95%CI 1.4-5.0), and high depressive symptoms (OR = 2.0, 95%CI 1.0-3.7) according to the CES-D score of >16, after adjusting for multiple confounding variables. These data point to an association between both the parameters of poor sleep and symptoms of deep depression when self-reported sickness absence is frequent. The association is particularly strong with long-term absence in male shift workers.
开展了一项横断面研究,以评估日常睡眠习惯和抑郁症状对轮班工人病假缺勤的影响。向一家电气设备制造公司的522名年龄在18至59岁(平均27岁)的轮班工人发放了一份自我填写的问卷,该问卷征集了有关睡眠、抑郁症状、病假缺勤、疾病/损伤和生活方式因素的答案。所询问的七个睡眠特征包括每日睡眠时间、入睡时间、夜间醒来、早醒、夜间睡眠良好、睡眠充足以及工作时白天过度嗜睡。对受试者过去1年期间的情况进行评估。除每日睡眠时间外,每个睡眠特征根据以下回答进行二分法分类:(1)入睡时间超过30分钟(入睡困难;DIS),(2)几乎每天夜间醒来(维持睡眠困难;DMS),(3)几乎每天早醒(EMA),(4)夜间睡眠非常差或不太好,(5)夜间睡眠明显不足或有点不足,以及(6)几乎每天工作时白天过度嗜睡(EDS)。使用流行病学研究中心抑郁量表(CES-D)评估抑郁症状。通过询问受试者“在过去1年期间,你因疾病(包括带薪休假)总共缺勤了多少天?”来计算病假缺勤天数。回答分为三组,包括无(0天)病假缺勤(参照组,n = 235名受试者)、1至4天(短期,n = 199名受试者)和5天或更多天(长期,n = 88名受试者)。与参照组的睡眠特征患病率相比,短期缺勤的工人中早醒的患病率显著更高,优势比(OR)为5.3,95%置信区间(CI)为1.3 - 22.0。在对多个混杂变量进行调整后,根据CES - D得分>16,长期缺勤与DMS(OR = 2.1,95%CI 1.0 - 4.6)、EMA(OR = 5.6,95%CI 1.0 - 28.7)、夜间睡眠差(OR = 2.6,95%CI 1.4 - 5.0)以及高抑郁症状(OR = 2.0,95%CI 1.0 - 3.7)显著相关。这些数据表明,当自我报告的病假缺勤频繁时,睡眠不佳参数与重度抑郁症状之间存在关联。这种关联在男性轮班工人长期缺勤的情况下尤为强烈。