匹兹堡睡眠质量指数
医学
QT间期
心脏病学
心率变异性
QRS波群
横断面研究
心率
睡眠障碍
内科学
置信区间
血压
睡眠质量
认知
病理
精神科
作者
Wanying Shi,Chen Chen,Qian Cui,Fuchang Deng,Bo Yang,Yaqiang Cao,Feng Zhao,Qian Zhang,Peng Du,Jiaonan Wang,Tiantian Li,Song Tang,Xiaoming Shi
标识
DOI:10.1016/j.scitotenv.2022.156472
摘要
Fine particulate matter (PM2.5) exposure and sleep disturbance have been significantly associated with adverse cardiovascular outcomes, however, the combined effects of these two factors are still unclear. We conducted a multi-center cross-sectional study from November 2018 to May 2019 in the Beijing-Tianjin-Hebei region in China to investigate the potential modifying effects of sleep disturbance on associations between cardiac conduction abnormalities and PM2.5 exposure, as well as the combined effects of sleep disturbance and heavy pollution episodes, which were defined based on the PM2.5 mass concentration (≥75 μg/m3, falling in the 75th/90th percentile) and duration (1 day and ≥2 days). The sleep quality and sleep duration of all participants were evaluated using the Pittsburgh Sleep Quality Index. Standard 12-lead electrocardiogram (ECG) test was performed to measure the heart rate (HR), QRS duration (time taken for ventricular depolarization), HR corrected QT interval (time for ventricular depolarization and repolarization) and PR interval (time for atrioventricular conduction). Multivariable linear regression models were performed to evaluate the associations of PM2.5 and heavy pollution events on ECG parameters and the joint effects with sleep disturbance. We found PM2.5 exposure was independently associated with prolonged QRS and QTc intervals. Association between PM2.5 and the QTc interval was significantly stronger in participants with poor sleep quality. For each 10-μg/m3 increase in PM2.5 concentration, the QTc interval in the participants with poor sleep quality increased by 0.41 % (95 % confidence interval: 0.19, 0.64). In addition, heavy PM2.5 pollution episodes, especially extremely heavy pollution of long duration, were found to have synergistic effects with sleep disturbance on ECG parameters. Our findings provide evidence that PM2.5 exposure, especially heavy pollution episodes, may increase abnormal cardiac conduction and have a synergistic effect with sleep disturbance. Improving sleep hygiene is crucial to protect the heart health of the general population.
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