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The Association between Air Pollution and Sleep Duration: A Cohort Study of Freshmen at a University in Beijing China

机译:空气污染与睡眠时间之间的关联:北京大学新生的队列研究

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摘要

Background: Rising levels of air pollution in Beijing, China have become a serious environmental issue affecting human health, and young adults are experiencing high rates of insufficient sleep duration or a lack of sleep. Gaps in previous research remain regarding the relationship between air pollution and sleep duration among young adults. The purpose of this study is to assess the associations between air pollution and sleep duration among college students living in Beijing, China. Methods: We conducted follow-up health surveys on 16,889 freshman students enrolled at Tsinghua University over a five-year study period (2013–2018). Sleep duration was measured using the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), which has been validated in China to measure sleep duration. Corresponding levels of the average hourly air quality index (AQI), PM2.5 (µg/m3), PM10 (µg/m3), and NO2 (µg/m3) were gathered from data provided by the Beijing Municipal Ecological Environment Bureau in a closed site at Tsinghua University. Multilevel mixed-effects linear regression models were used to analyze the data. Results: One standard deviation increase in air pollution concentration in AQI, PM2.5, PM10, and NO2 was associated with a reduction in daily hours of sleep by 0.68 (95% confidence interval (CI) = 0.63, 0.73), 0.55 (95% CI = 0.51, 0.59), 0.70 (95% CI = 0.64, 0.76), and 0.51 (95% CI = 0.47, 0.54), respectively. Conclusions: Air pollution was associated with a reduction in sleep duration among freshman students living in Beijing, China. Replication of this study is warranted among various populations within China.
机译:背景:中国北京的空气污染水平上升已经成为影响人类健康的严重环境问题,年轻人正经历着充足的睡眠时间不足或睡眠不足的高比率。关于年轻人的空气污染与睡眠时间之间的关系,以前的研究仍存在空白。这项研究的目的是评估居住在中国北京的大学生的空气污染与睡眠时间之间的关系。方法:我们在为期五年的研究期内(2013-2018年)对清华大学的16889名新生进行了随访健康调查。睡眠时间是使用中文版的匹兹堡睡眠质量指数(CPSQI)进行测量的,该指标已在中国经过验证,可以测量睡眠时间。每小时平均空气质量指数(AQI),PM2.5(µg / m 3 ),PM10(µg / m 3 )和NO2(µg / m 3 )是从北京市生态环境局在清华大学的一个封闭地点收集的数据收集的。使用多层次混合效应线性回归模型分析数据。结果:AQI,PM2.5,PM10和NO2中空气污染浓度增加一个标准偏差,与每天睡眠时间减少0.68(95%置信区间(CI)= 0.63,0.73),0.55(95)有关%CI分别为0.51、0.59、0.70(95%CI = 0.64、0.76)和0.51(95%CI = 0.47、0.54)。结论:空气污染与居住在中国北京的新生的睡眠时间减少有关。在中国不同人群中重复进行这项研究是必要的。

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