多种环境空气污染物与伴或不伴阻塞性睡眠呼吸暂停(OSA)的成人患者中睡眠呼吸暂停、睡眠结构及夜间氧合的关联
Associations of multiple ambient air pollutants and sleep apnea, sleep architecture and nocturnal oxygenation in adult patients with or without obstructive sleep apnea (OSA).
文献信息
| PMID | 42951172 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Xia-Yuhui Wang |
| 作者单位 | Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China. |
| 期刊 | Environmental research |
| SCI 分区 | Q1 |
| IF | 8 |
| 研究类型 | 临床研究 · 临床 |
| 所属专科 | 耳科 |
中文摘要
背景: 阻塞性睡眠呼吸暂停(OSA)估计影响全球9.36亿成人,但环境暴露与睡眠结构及夜间氧合的关系仍不清楚。方法:我们在中国深圳开展了一项基于多导睡眠监测的回顾性研究,纳入4049名成人,以探讨环境空气污染物、PM2.5无机组分及气象因素与OSA严重程度、睡眠结构和夜间氧合的关系。结果:滞后0-180天被事后选为主要报告窗口。在该窗口内,PM2.5、PM10、NO2、SO2、CO和昼夜温差(DTR)均与更高的OSA严重程度相关。多种污染物与较浅睡眠相关;例如,PM2.5和PM10分别与N1睡眠增加1.71%TST和1.32%TST以及N3睡眠减少1.51%TST和1.32%TST相关。O3和DTR与夜间氧合及睡眠连续性的不良关系最为明确。非线性分析显示PM2.5、SO2和DTR呈递增的暴露-反应关联,而O3呈U形关联。交互作用和混合暴露分析进一步提示气象因素存在修饰作用,且混合暴露与睡眠结构改变的关系较与分类OSA严重程度的关系更为一致。结论:这些发现凸显了在未来研究中纳入更广泛的多导睡眠监测维度、累积暴露窗口和共暴露模式的重要性。
英文摘要
Obstructive sleep apnea (OSA) affects an estimated 936 million adults worldwide, yet how environmental exposures relate to sleep architecture and nocturnal oxygenation remains unclear. We conducted a retrospective polysomnography-based study of 4049 adults in Shenzhen, China, to examine the relationships of ambient air pollutants, PM2.5 inorganic components, and meteorological factors with OSA severity, sleep architecture, and nocturnal oxygenation. Lag 0-180 days was selected post hoc as the main reporting window. Within this window, PM2.5, PM10, NO2, SO2, CO, and diurnal temperature range (DTR) were all linked to greater OSA severity. Multiple pollutants were associated with lighter sleep; for example, PM2.5 and PM10 were associated with 1.71%TST and 1.32%TST increases in N1 sleep and 1.51%TST and 1.32%TST decreases in N3 sleep, respectively. O3 and DTR showed the clearest adverse relationships with nocturnal oxygenation and sleep continuity. Non-linear analyses showed increasing exposure-response associations for PM2.5, SO2, and DTR, but a U-shaped association for O3. Interaction and mixture analyses further indicated meteorological modification and more consistent mixture relationships with altered sleep architecture than with categorical OSA severity. These findings highlight the importance of broader polysomnographic dimensions, cumulative exposure windows, and co-exposure patterns in future research.