Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China.
Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan, China.
Ecotoxicol Environ Saf. 2023 Sep 15;263:115226. doi: 10.1016/j.ecoenv.2023.115226. Epub 2023 Jul 12.
Sleep disorder contributes to memory dysfunction and chronic diseases. Clear evidence of environment disturbance, such as residential noise, are associated with an increased risk of sleep disorder. However, not enough studies have been conducted on association between residential air pollutants and sleep disorder. We sought to determine whether exposures to residential air pollutants associated with risk of sleep disorder among adults.
Using the dataset of the Wuhan Chronic Disease Cohort Study (WCDCS), we investigated the prevalence of sleep disorder and five sleep disorder symptoms in the study. The data of air pollutants (including PM, PM, NO, SO and O) were obtained from 10 air quality monitoring stations in Wuhan. We utilized logistic regression model to evaluate the associations of five types of air pollutants with odds ratio (OR) of sleep disorder and symptoms. The potential moderating effects of socio-demographic factors in the associations were explored using the interaction effects model.
Of the study participants, 52.1 % had sleep disorder. Exposures to higher concentrations of air pollutants were associated with increased prevalence of sleep disorder. For example, per interquartile range (IQR) increases in concentrations of PM, PM or SO corresponded to the increase of sleep disorder increased prevalence at 14.7 % (adjusted odds ratio (aOR) = 1.147, 95 %CI:1.062, 1.240), 8.9 % (aOR = 1.089, 95 %CI: 1.003, 1.182) and 15.8 % (aOR = 1.158, 95 %CI: 1.065, 1.260). For symptoms specific analyses, significant linkages of PM, PM, SO with difficulty in falling asleep, wake up after falling asleep and early awaken were observed. Moderating effects of age and place of residence on the linkages of PM with increased prevalence of sleep disorder were identified.
Higher level of air pollution exposure could increase the prevalence of sleep disorder. Middle-aged and elderly population, as well as the rural residents are more likely to suffer from sleep disorder.
睡眠障碍会导致记忆力障碍和慢性疾病。有明确证据表明，居住环境中的噪声等干扰因素与睡眠障碍风险增加有关。然而，关于居住环境空气污染物与睡眠障碍之间的关联，研究还不够充分。本研究旨在确定成年人居住环境空气污染物暴露与睡眠障碍风险之间的关系。
利用武汉慢性病队列研究（WCDCS）的数据，我们调查了研究中睡眠障碍和五种睡眠障碍症状的患病率。空气污染物（包括 PM、PM、NO、SO 和 O）的数据来自武汉 10 个空气质量监测站。我们利用 logistic 回归模型评估五种类型的空气污染物与睡眠障碍和症状的比值比（OR）的关联。利用交互作用模型探讨了社会人口因素在关联中的潜在调节作用。
在研究参与者中，有 52.1%的人患有睡眠障碍。较高浓度的空气污染物暴露与睡眠障碍的患病率增加有关。例如，PM、PM 或 SO 浓度每增加一个四分位间距（IQR），睡眠障碍的患病率就会增加 14.7%（调整后的比值比（aOR）=1.147，95%CI：1.062，1.240）、8.9%（aOR=1.089，95%CI：1.003，1.182）和 15.8%（aOR=1.158，95%CI：1.065，1.260）。对于症状特异性分析，观察到 PM、PM 和 SO 与入睡困难、入睡后醒来和早醒之间存在显著关联。还确定了 PM 与睡眠障碍患病率增加之间的关联存在年龄和居住地的调节作用。
较高的空气污染暴露水平可能会增加睡眠障碍的患病率。中年和老年人群以及农村居民更有可能患有睡眠障碍。
