Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), 30 Gaotanyan Main Street, Shapingba, Chongqing, 400038, China.
Health Management Center, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710032, China.
Environ Sci Pollut Res Int. 2022 Sep;29(43):64902-64913. doi: 10.1007/s11356-022-20242-w. Epub 2022 Apr 27.
Sleep disorders attract increasing concerns. However, the evidence of the association between ambient air pollution and sleep disorders is limited. Therefore, our aim was to determine the association between short-term air pollution exposure and outpatient visits for sleep disorders in Xi'an, the largest city in Northwest China. Baseline outpatient data of daily sleep disorders between 2011 and 2013 were collected. Quasi-Poisson distribution was applied by adjusting the day of the week and weather conditions. A total of 49,282 sleep disorder outpatient visits were recorded. The most significant association between air pollutants and outpatient visits was observed on concurrent day: per 10 μg/m increase of NO, SO, and PM at lag 0 corresponded to increased outpatient sleep disorder visits at 0.22% (95% CI: 0.03%, 0.42%), 1.53% (95% CI: 0.53, 2.53%), and 2.57% (95% CI: 1.33%, 3.82%), respectively. As for gender-specific analysis, there was no statistically significant difference between males and females. The result of season-specific analysis showed no statistically significant difference between warm seasons and cool seasons, either. As for age-specific analysis, obvious associations were observed in 20-40 age group (NO) and > 40 age group (PM and SO), while no evident association was found for the young age group (< 20 years old). Conclusively, short-term exposure to air pollutants, especially gaseous air pollutants, might increase the risk of sleep disorders, and such association appears to be more obvious in elder people. We provide novel data that there may be age differences in the relationship between short-term air pollution exposure and sleep disorders.
睡眠障碍越来越受到关注。然而,有关环境空气污染与睡眠障碍之间关联的证据有限。因此,我们的目的是确定短期空气污染暴露与中国西北部最大城市西安的睡眠障碍门诊就诊之间的关联。收集了 2011 年至 2013 年期间每日睡眠障碍的基线门诊数据。通过调整星期几和天气条件,应用了拟泊松分布。共记录了 49282 例睡眠障碍门诊就诊。在同时期,观察到空气污染物与门诊就诊之间存在最显著的关联:滞后 0 时,NO、SO 和 PM 每增加 10μg/m,对应的门诊睡眠障碍就诊率分别增加 0.22%(95%CI:0.03%,0.42%)、1.53%(95%CI:0.53,2.53%)和 2.57%(95%CI:1.33%,3.82%)。对于性别特异性分析,男性和女性之间没有统计学上的显著差异。季节特异性分析结果表明,暖季和凉季之间也没有统计学上的显著差异。对于年龄特异性分析,在 20-40 岁年龄组(NO)和>40 岁年龄组(PM 和 SO)观察到明显的关联,而在年轻年龄组(<20 岁)则没有发现明显的关联。总之,短期暴露于空气污染物,特别是气态空气污染物,可能会增加睡眠障碍的风险,这种关联在老年人中更为明显。我们提供了新的数据,表明短期空气污染暴露与睡眠障碍之间的关系可能存在年龄差异。