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大气污染暴露及其变异性与中国人群主观睡眠质量的关系:一项多层次建模分析。

Association of ambient air pollution exposure and its variability with subjective sleep quality in China: A multilevel modeling analysis.

机构信息

Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; National Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, China.

Shandong Provincial Mental Health Center, Jinan City, Shandong, China.

出版信息

Environ Pollut. 2022 Nov 1;312:120020. doi: 10.1016/j.envpol.2022.120020. Epub 2022 Aug 23.

Abstract

Growing epidemiological evidence has shown that exposure to ambient air pollution contributes to poor sleep quality. However, whether variability in air pollution exposure affects sleep quality remains unclear. Based on a large sample in China, this study linked individual air pollutant exposure levels and temporal variability with subjective sleep quality. Town-level data on daily air pollution concentration for 30 days prior to the survey date were collected, and the monthly mean value, standard deviations, number of heavily polluted days, and trajectory for six common pollutants were calculated to measure air pollution exposure and its variations. Sleep quality was subjectively assessed using the Pittsburgh Sleep Quality Index (PSQI), and a PSQI score above 5 indicated overall poor sleep quality. Multilevel and negative control models were used. Both air pollution exposure and variability contributed to poor sleep quality. A one-point increase in the one-month mean concentration of particulate matter with aerodynamic diameters of ≤2.5 μm (PM) and ≤10 μm (PM) led to 0.4% (95% confidence interval (CI): 1.002-1.006) and 0.3% (95% CI: 1.001-1.004) increases in the likelihoods of overall poor sleep quality (PSQI score >5), respectively; the odds ratios of a heavy pollution day with PM and PM were 2.2% (95% CI: 1.012-1.032) and 2.2% (95% CI: 1.012-1.032), respectively. Although the mean concentrations of nitrogen dioxide, sulfur dioxide, and carbon monoxide met the national standard, they contributed to the likelihood of overall poor sleep quality (PSQI score >5). A trajectory of air pollution exposure with maximum variability was associated with a higher likelihood of overall poor sleep quality (PSQI score >5). Subjective measures of sleep latency, duration, and efficiency (derived from PSQI) were affected in most cases. Thus, sleep health improvements should account for air pollution exposure and its variations in China under relatively high air pollution levels.

摘要

越来越多的流行病学证据表明,暴露于环境空气污染会导致睡眠质量下降。然而,空气污染暴露的可变性是否会影响睡眠质量尚不清楚。本研究基于中国的一个大样本,将个体空气污染暴露水平和时间变异性与主观睡眠质量联系起来。收集了调查日期前 30 天的城镇级每日空气污染浓度数据,并计算了每月平均浓度、标准差、重度污染天数和六种常见污染物的轨迹,以衡量空气污染暴露及其变化。睡眠质量采用匹兹堡睡眠质量指数(PSQI)进行主观评估,PSQI 得分超过 5 分表示整体睡眠质量较差。采用多层次和负对照模型。空气污染暴露和可变性都导致了睡眠质量差。PM 2.5 和 PM 10 的一个月平均浓度增加一个单位,分别导致整体睡眠质量较差(PSQI 得分>5)的可能性增加 0.4%(95%置信区间(CI):1.002-1.006)和 0.3%(95% CI:1.001-1.004);PM 和 PM 重度污染日的比值分别为 2.2%(95% CI:1.012-1.032)和 2.2%(95% CI:1.012-1.032)。尽管二氧化氮、二氧化硫和一氧化碳的平均浓度符合国家标准,但它们增加了整体睡眠质量较差(PSQI 得分>5)的可能性。空气污染暴露最大变异性的轨迹与整体睡眠质量较差(PSQI 得分>5)的可能性增加有关。在大多数情况下,PSQI 衍生的睡眠潜伏期、持续时间和效率的主观测量值受到影响。因此,在中国相对较高的空气污染水平下,改善睡眠健康应该考虑到空气污染暴露及其变化。

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