| 方瑞琛,李双艳,林艳媚,马旭晅,方乐琴,杜适序,张斌.睡眠卫生习惯对成年居民睡眠质量的影响[J].四川精神卫生杂志,2024,37(4):364-369.Fang Ruichen,Li Shuangyan,Lin Yanmei,Ma Xuxuan,Fang Leqin,Du Shixu,Zhang Bin,Influence of sleep hygiene on sleep quality among adult residents[J].SICHUAN MENTAL HEALTH,2024,37(4):364-369 |
| 睡眠卫生习惯对成年居民睡眠质量的影响 |
| Influence of sleep hygiene on sleep quality among adult residents |
| 投稿时间：2023-12-25 |
| DOI：10.11886/scjsws20231225001 |
| 中文关键词: 睡眠卫生习惯 重大突发公共卫生事件 睡眠质量 成年居民 |
| 英文关键词:Sleep hygiene Major public health emergencies Sleep quality Adult resident |
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| 中文摘要: |
| 背景 重大突发公共卫生事件会改变人们的睡眠卫生习惯，进而影响其睡眠质量。目的 探究重大突发公共卫生事件下，成年居民睡眠质量与睡眠卫生习惯的关系，以期为改善重大突发公共卫生事件下居民的睡眠质量提供参考。方法 于2020年2月20日—29日，选取1 364名成年居民为研究对象。采用自编问卷收集居民的基本资料与睡眠卫生习惯资料；采用匹兹堡睡眠质量指数量表（PSQI）评定睡眠质量，PSQI评分≥8分者归为睡眠质量差组，PSQI评分<8分者归为睡眠质量好组。采用二元Logistic回归分析考查睡眠质量的影响因素。采用雷达图展示不同睡眠质量居民的睡眠卫生习惯。结果 根据PSQI评分，891名（65.32%）居民睡眠质量好，473名（34.68%）居民睡眠质量差。两组居民的年龄（χ2=3.887）、既往病史（χ2=27.938）、重大突发公共卫生事件发生前对睡眠重视程度（χ2=4.337）、重大突发公共卫生事件期间睡眠质量对生活的影响（χ2=178.138）、重大突发公共卫生事件期间晚睡频率（χ2=139.390）、补觉情况（χ2=39.257）、睡眠问题影响白天精力（χ2=285.879）以及上床时间变化（χ2=63.031）、睡眠潜伏期变化（χ2=168.672）、起床时间变化（χ2=59.221）、睡眠时长变化（χ2=172.332）、在卧室活动时间变化（χ2=23.071）以及重大突发公共卫生事件发生后改变睡眠环境投入的金额（χ2=58.584）比较，差异均有统计学意义（P<0.05或0.01）。Logistic回归分析结果显示，既往病史阳性（OR=1.680，95% CI：1.185~2.382）、睡眠质量对生活有影响（OR=4.181，95% CI：2.722~6.422）、每周晚睡3~4次（OR=3.145，95% CI：1.497~6.605）、几乎每天都晚睡（OR=4.271，95% CI：1.970~9.260）、睡眠问题影响白天精力（OR=7.169，95% CI：5.188~9.907）、睡眠潜伏期延长（OR=2.836，95% CI：2.019~3.982）、睡眠时长缩短（OR=3.518，95% CI：2.144~5.772）是睡眠质量差的危险因素；重大突发公共卫生事件发生后改变睡眠环境投入的金额≤500元（OR=0.334，95% CI：0.134~0.830）与更低的睡眠质量差的发生率有关。雷达图显示，重大突发公共卫生事件期间，睡眠质量差者有更多的担忧、过度清洁行为以及不良睡眠卫生习惯，晚睡多由压力和情绪问题导致。结论 重大突发公共卫生事件期间，部分成年居民存在睡眠质量差的问题，不良的睡眠卫生习惯影响睡眠质量。 |
| 英文摘要: |
| Background Individuals may experience significant alterations in sleep hygiene during the major public health emergencies， consequently impacting their sleep quality.Objective To explore the relationship between sleep quality and sleep hygiene among adult residents during the major public health emergencies， so as to provide references for improving the sleep quality of residents during such a period.Methods A sample of 1 364 adult residents were enrolled as the research subjects from February 20 to 29， 2020. All participants were asked to complete self-administered questionnaire to obtain basic-demographic information and sleep hygiene. Pittsburgh Sleep Quality Index （PSQI） was applied to assess sleep quality. Residents were classified into poor sleepers with PSQI score ≥8 and good sleepers defined as PSQI score <8. Binary Logistic regression analysis was conducted to identify factors associated with sleep quality. Radar chart was used to visualize and compare the sleep hygiene between poor sleepers and good sleepers.Results According to PSQI score， 891 （65.32%） residents were good sleepers， while 473 （34.68%） residents were poor sleepers. Comparison revealed that age （χ2=3.887）， past medical history （χ2=27.938）， awareness rate of importance of sleeping before major public health emergencies （χ2=4.337）， impact of sleep quality on quality of life during the major public health emergencies （χ2=178.138）， frequency of staying up late during the major public health emergencies （χ2=139.390）， compensatory sleep behaviors （χ2=39.257）， impact of sleep problems on daytime functioning （χ2=285.879）， change of bedtime （χ2=63.031）， sleep latency （χ2=168.672）， wake-up time （χ2=59.221）， changes in sleep duration （χ2=172.332）， time spent in the bedroom （χ2=23.071）， and sum of money spent on improving sleep environment （χ2=58.584） yielded statistical difference between poor sleepers and good sleepers （P<0.05 or 0.01）. Logistic regression analysis denoted that past medical history （OR=1.680， 95% CI： 1.185~2.382）， negative impact of sleep quality on quality life （OR=4.181， 95% CI： 2.722~6.422）， staying up late 3 to 4 times per week （OR=3.145， 95% CI： 1.497~6.605）， staying up late almost every day （OR=4.271， 95% CI： 1.970~9.260）， negative impact of sleep problems on daytime functioning （OR=7.169， 95% CI： 5.188~9.907）， prolonged sleep latency （OR=2.836， 95% CI： 2.019~3.982） and shortened sleep duration （OR=3.518， 95% CI： 2.144~5.772） were risk factors of poor sleep quality. The sum of money spent on improving sleep environment following the major public health emergencies ≤500 RMB （OR=0.334， 95% CI： 0.134~0.830） was related to the incidence rate of poor sleep quality. Radar chart showed that poor sleepers were characterized by extravagant concerns， excessive cleanliness and poor sleep hygiene practices during the major public health emergencies， and poor sleepers were more likely to stay up late due to stress and emotional issues.Conclusion Some residents are facing poor sleep quality during the major public health emergencies， and poor sleep hygiene practice also contributes to poor sleep quality. |
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