摘要
While the inflammatory properties of ambient air pollution may exacerbate osteoarthritis (OA), evidence on the population-level impact of multi-pollutant mixtures remains limited. This study quantifies the acute effects of short-term exposure to a complex mixture of six-criteria air pollutants on OA outpatient visits. In total, 8,146,141 OA visits from two national health insurance databases across 192 Chinese cities (2013–2017) were analyzed using a two-stage, time-stratified case-crossover design, combining conditional logistic regression with random-effects meta-analysis. The results showed that an interquartile range increase in the concentrations of PM2.5, PM10, NO2, SO2, O3, and CO was associated with significant increases in OA visits of 1.75%, 2.26%, 4.01%, 3.42%, 1.98%, and 1.87%, respectively. NO2 and SO2 demonstrated the strongest associations across OA subtypes. Multi-pollutant models confirmed that the risk of OA visits increased significantly under combined pollutant exposure. Population attributable fractions ranged from 2.15% for PM2.5 to 6.41% for NO2. This large-scale analysis provides novel evidence that transient exposure to complex pollution mixtures, rather than to individual pollutants, drives OA-related healthcare demand, with gaseous pollutants (NO2/SO2) being critical components. Our findings advocate for integrative air quality management strategies targeting co-emitted pollutants to mitigate OA exacerbations.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 1 |
| 期刊 | Toxics |
| 卷 | 14 |
| 期 | 1 |
| DOI | |
| 出版状态 | 已出版 - 1月 2026 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 11 可持续城市和社区
学术指纹
探究 'Ambient Air Pollution Exposure and Acute Osteoarthritis Exacerbations: A National Case-Crossover Analysis of 8 Million Outpatient Visits in China' 的科研主题。它们共同构成独一无二的指纹。引用此
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