Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.
International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan.
Nagoya J Med Sci. 2022 Aug;84(3):554-569. doi: 10.18999/nagjms.84.3.554.
Objectively measured sleep efficiency has recently been shown to be associated with health problems. Although several factors have previously been reported to be associated with sleep efficiency, most of these studies were conducted on older or younger adults, and the factors associated with sleep efficiency in healthy workers remain unknown. The aim of this study was to investigate the relationship between sleep efficiency and lifestyle factors using sleep measurement data recorded by an activity meter worn by workers. In total, 693 workers (male, 43.6%; mean age, 42.7 ± 11.3 years) were recruited from five offices in 2017. Sleep was measured over the period of 1 week by actigraphy. Workers' attributes, lifestyle habits, and occupational stress were identified using a questionnaire, and the association of sleep efficiency with lifestyle, occupational stress, and attributes was explored by logistic regression analysis. A logistic regression analysis using attributes and occupational stress as adjustment variables revealed that "longer sleeping hours on weekends than on weekdays" [odds ratios (OR), 0.66; 95% confidence interval (CI), 0.47-0.94], "water ingestion at bedtime" [OR, 2.09; 95% CI, 1.28-3.41], and "smartphone use at bedtime" [OR, 1.90; 95% CI, 1.28-2.83] were associated with decreased sleep efficiency. This study found that lifestyle habits were associated with sleep efficiency among workers. It is necessary to verify whether intervention in these lifestyle habits would contribute to the improvement of sleep efficiency in future studies.
客观测量的睡眠效率最近已被证明与健康问题有关。尽管以前已经报道了几个与睡眠效率相关的因素，但这些研究大多是在老年人或年轻人中进行的，而在健康工作者中与睡眠效率相关的因素仍不清楚。本研究旨在使用佩戴在工人身上的活动计测量睡眠数据，调查睡眠效率与生活方式因素之间的关系。 2017 年，共从五个办公室招募了 693 名工人（男性占 43.6％；平均年龄为 42.7±11.3 岁）。通过活动记录仪对睡眠进行了为期 1 周的测量。使用问卷确定了工人的属性、生活习惯和职业压力，并通过逻辑回归分析探讨了睡眠效率与生活方式、职业压力和属性之间的关联。使用属性和职业压力作为调整变量的逻辑回归分析表明，“周末比工作日睡眠时间长”[比值比（OR），0.66；95％置信区间（CI），0.47-0.94]，“睡前喝水”[OR，2.09；95％CI，1.28-3.41]和“睡前使用智能手机”[OR，1.90；95％CI，1.28-2.83]与睡眠效率降低有关。本研究发现，生活习惯与工人的睡眠效率有关。有必要在未来的研究中验证干预这些生活习惯是否有助于提高睡眠效率。
