Department of Public Health, Graduate School, Yonsei University, Seoul, South Korea.
Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Front Public Health. 2021 Nov 17;9:761279. doi: 10.3389/fpubh.2021.761279. eCollection 2021.
There is a need to determine the optimal limit of consecutive night shift work to reduce insomnia caused by the accumulation of sleep problems among night shift workers. This study aimed to investigate the prevalence of insomnia caused by consecutive night shifts and evaluate the night shift duration that worsens insomnia the most, using a large amount of medical examination data. Night shift profiles and baseline demographics data of three hospitals were collected from January 2015 to December 2017. For subjects who had been examined more than once at the same institution, information corresponding to the most recent date was used. Multivariate logistic regression was performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Pooled ORs were calculated by using the results of the three institutions. Of the 33,669 participants, 31.3% were female. The average age was 41.1 ± 11.1 years and the prevalence of insomnia was 38.7% ( = 13,025). After adjusting for potential confounders and compared to workers who reported not working in consecutive night shifts, odds of insomnia were greatest among workers reporting working three consecutive nights (OR 2.65, 95% CI 1.97-3.56) followed by those working two nights (OR 1.81, 95% CI 1.45-2.26), five nights (OR 1.78, 95% CI 1.56-2.03), and four nights (OR 1.68, 95% CI 1.55-1.82). Our study demonstrates a significant relationship between consecutive night shift and insomnia with multicenter examination data, using common data model. This study could be a basis for establishing policies and guidelines that improve night shift workers' health.
需要确定连续夜班工作的最佳极限,以减少夜班工人因睡眠问题积累而导致的失眠。本研究旨在使用大量体检数据调查连续夜班引起的失眠患病率,并评估最能加重失眠的夜班持续时间。
2015 年 1 月至 2017 年 12 月,收集了三家医院的夜班模式和基线人口统计学数据。对于在同一机构多次检查的对象,使用最近日期对应的信息。采用多变量逻辑回归估计比值比(OR)和 95%置信区间(CI)。通过使用三个机构的结果计算合并 OR。
在 33669 名参与者中,31.3%为女性。平均年龄为 41.1±11.1 岁,失眠患病率为 38.7%(=13025)。在调整潜在混杂因素后,与未连续上夜班的工人相比,报告连续上三班(OR 2.65,95%CI 1.97-3.56)、两班(OR 1.81,95%CI 1.45-2.26)、五班(OR 1.78,95%CI 1.56-2.03)和四班(OR 1.68,95%CI 1.55-1.82)的工人发生失眠的可能性最大。
我们的研究使用常见的数据模型,通过多中心检查数据证明了连续夜班与失眠之间的显著关系。这项研究可以为制定改善夜班工人健康的政策和准则提供依据。