Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Peking University Center for Public Health and Epidemic Preparedness and Response, Peking, China.
Front Public Health. 2023 Mar 21;11:1137196. doi: 10.3389/fpubh.2023.1137196. eCollection 2023.
Although the association between short-term air pollution exposure and certain hospitalizations has been well documented, evidence on the effect of longer-term (e. g., monthly) air pollution on a comprehensive set of outcomes is still limited.
A total of 68,416 people in South China were enrolled and followed up during 2019-2020. Monthly air pollution level was estimated using a validated ordinary Kriging method and assigned to individuals. Time-dependent Cox models were developed to estimate the relationship between monthly PM and O exposures and the all-cause and cause-specific hospitalizations after adjusting for confounders. The interaction between air pollution and individual factors was also investigated.
Overall, each 10 μg/m increase in PM concentration was associated with a 3.1% (95%: 1.3%-4.9%) increment in the risk of all-cause hospitalization. The estimate was even greater following O exposure (6.8%, 5.5%-8.2%). Furthermore, each 10 μg/m increase in PM was associated with a 2.3%-9.1% elevation in all the cause-specific hospitalizations except for those related to respiratory and digestive diseases. The same increment in O was relevant to a 4.7%-22.8% elevation in the risk except for respiratory diseases. Additionally, the older individuals tended to be more vulnerable to PM exposure ( : 0.002), while the alcohol abused and those with an abnormal BMI were more vulnerable to the impact of O ( : 0.052 and 0.011). However, the heavy smokers were less vulnerable to O exposure ( : 0.032).
We provide comprehensive evidence on the hospitalization hazard of monthly PM and O exposure and their interaction with individual factors.
尽管短期空气污染暴露与某些住院治疗之间的关联已得到充分证明,但关于长期(例如,每月)空气污染对一系列综合结果的影响的证据仍然有限。
共纳入华南地区 68416 人,并于 2019-2020 年期间进行随访。每月空气污染水平采用验证过的普通克里金法进行估算,并分配给个体。采用时间依赖性 Cox 模型来估计每月 PM 和 O 暴露与全因和特定病因住院之间的关系,调整混杂因素后。还研究了空气污染与个体因素之间的相互作用。
总体而言,PM 浓度每增加 10μg/m,全因住院的风险增加 3.1%(95%置信区间:1.3%-4.9%)。暴露于 O 后,这一估计值甚至更大(6.8%,5.5%-8.2%)。此外,除了与呼吸和消化系统疾病相关的住院治疗外,PM 每增加 10μg/m,所有特定病因住院的风险均升高 2.3%-9.1%。同样,O 每增加 10μg/m,除了与呼吸系统疾病相关的住院治疗外,风险增加 4.7%-22.8%。此外,年龄较大的个体更容易受到 PM 暴露的影响(:0.002),而滥用酒精和 BMI 异常的个体更容易受到 O 的影响(:0.052 和 0.011)。然而,重度吸烟者对 O 暴露的敏感性较低(:0.032)。
我们提供了关于每月 PM 和 O 暴露对住院治疗的危害及其与个体因素相互作用的综合证据。