Xuesong Zhou, Jia Qiu, Ning Kang, Jingwei Zhang, Yandan Xu, Jian Zhang, Xiuli Tang, Yinghao Yuchi, Mingjia Xu, Chongjian Wang
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Air pollution data were assigned to individuals based on their residential address using the Tracking Air Pollution (TAP) platform. A time-stratified case-crossover design and a conditional logistic regression model were used to estimate the risk of asthma admissions related to exposure to PM<sub>2.5</sub>. We also conducted stratified analyzes by age, gender, and season.</p><p><strong>Results: </strong>Each 10 μg/m³ increase in PM<sub>2.5</sub>, BC, NO<sub>3</sub><sup>-</sup>, NH<sub>4</sub><sup>+</sup>, SO<sub>4</sub><sup>2-</sup> and OM at lag-5 day were associated with increased risk of asthma admission, with ORs of 1.04(1.00,1.08), 2.59(0.99,6.76), 1.17(1.02,1.33), 1.33(1.06,1.66), 1.28(1.05,1.55) and 1.16(0.98,1.37), respectively. Stratified analysis showed that PM<sub>2.5</sub> and its components had a more significant impact on the risk of asthma admission for women; individuals aged ≥ 65 years, and during cold seasons at lag-5 day. The results remained stable in the sensitivity analysis.</p><p><strong>Conclusion: </strong>Short-term exposure to PM<sub>2.5</sub> and its components (NO<sub>3</sub><sup>-</sup>, NH<sub>4</sub><sup>+</sup>, SO<sub>4</sub><sup>2-</sup>) increases hospitalization risk in asthma patients, particularly among women, elder and those admitted during cold seasons. It provides new insight for reducing the asthma burden associated with particulate air pollution.</p>","PeriodicalId":15076,"journal":{"name":"Journal of Asthma","volume":" ","pages":"1341-1350"},"PeriodicalIF":1.3000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of short-term exposure to PM<sub>2.5</sub> and its components with hospital admission for asthma in Shanghai: a time-stratified case-crossover study.\",\"authors\":\"Xuesong Zhou, Jia Qiu, Ning Kang, Jingwei Zhang, Yandan Xu, Jian Zhang, Xiuli Tang, Yinghao Yuchi, Mingjia Xu, Chongjian Wang\",\"doi\":\"10.1080/02770903.2025.2478503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Associations between PM<sub>2.5</sub> and the risk of asthma admission have been established in previous researches. However, evidence about the specific impacts of PM<sub>2.5</sub> components on asthma-related hospitalizations across different populations and environments is limited and inconsistent. The purpose of this study was to examine the association between short-term exposure PM<sub>2.5</sub> and its components with asthma hospital admission.</p><p><strong>Method: </strong>A total of 930 people hospitalized for asthma were included in the study in Shanghai between December 2018 and December 2022. Air pollution data were assigned to individuals based on their residential address using the Tracking Air Pollution (TAP) platform. A time-stratified case-crossover design and a conditional logistic regression model were used to estimate the risk of asthma admissions related to exposure to PM<sub>2.5</sub>. We also conducted stratified analyzes by age, gender, and season.</p><p><strong>Results: </strong>Each 10 μg/m³ increase in PM<sub>2.5</sub>, BC, NO<sub>3</sub><sup>-</sup>, NH<sub>4</sub><sup>+</sup>, SO<sub>4</sub><sup>2-</sup> and OM at lag-5 day were associated with increased risk of asthma admission, with ORs of 1.04(1.00,1.08), 2.59(0.99,6.76), 1.17(1.02,1.33), 1.33(1.06,1.66), 1.28(1.05,1.55) and 1.16(0.98,1.37), respectively. Stratified analysis showed that PM<sub>2.5</sub> and its components had a more significant impact on the risk of asthma admission for women; individuals aged ≥ 65 years, and during cold seasons at lag-5 day. The results remained stable in the sensitivity analysis.</p><p><strong>Conclusion: </strong>Short-term exposure to PM<sub>2.5</sub> and its components (NO<sub>3</sub><sup>-</sup>, NH<sub>4</sub><sup>+</sup>, SO<sub>4</sub><sup>2-</sup>) increases hospitalization risk in asthma patients, particularly among women, elder and those admitted during cold seasons. 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引用次数: 0
摘要
先前的研究已经确立了PM2.5与哮喘发作风险之间的关联。然而,关于PM2.5成分在不同人群和环境中对哮喘相关住院的具体影响的证据有限且不一致。本研究的目的是研究短期暴露于PM2.5及其成分与哮喘住院之间的关系。方法:2018年12月至2022年12月期间,上海共有930名哮喘住院患者被纳入研究。使用跟踪空气污染(TAP)平台,根据居住地址将空气污染数据分配给个人。采用时间分层病例交叉设计和条件logistic回归模型来估计与PM2.5暴露相关的哮喘入院风险。我们还按年龄、性别和季节进行了分层分析。结果:延迟5 d PM2.5、BC、NO3-、NH4+、SO42-和OM每增加10 μg/m³与哮喘发生风险增加相关,其or分别为1.04(1.00,1.08)、2.59(0.99,6.76)、1.33(1.06,1.66)、1.17(1.02,1.33)、1.28(1.05,1.55)和1.16(0.98,1.37)。分层分析结果显示,PM2.5及其组分对女性、年龄≥65岁的个体以及在滞后5天的寒冷季节哮喘入院风险的影响更为显著。结果在敏感性分析中保持稳定。结论:短期暴露于PM2.5及其成分(NO3-、NH4+、SO42-)会增加哮喘患者的住院风险,尤其是女性、老年人和在寒冷季节入院的患者。它为减少与颗粒空气污染相关的哮喘负担提供了新的见解。
Association of short-term exposure to PM2.5 and its components with hospital admission for asthma in Shanghai: a time-stratified case-crossover study.
Introduction: Associations between PM2.5 and the risk of asthma admission have been established in previous researches. However, evidence about the specific impacts of PM2.5 components on asthma-related hospitalizations across different populations and environments is limited and inconsistent. The purpose of this study was to examine the association between short-term exposure PM2.5 and its components with asthma hospital admission.
Method: A total of 930 people hospitalized for asthma were included in the study in Shanghai between December 2018 and December 2022. Air pollution data were assigned to individuals based on their residential address using the Tracking Air Pollution (TAP) platform. A time-stratified case-crossover design and a conditional logistic regression model were used to estimate the risk of asthma admissions related to exposure to PM2.5. We also conducted stratified analyzes by age, gender, and season.
Results: Each 10 μg/m³ increase in PM2.5, BC, NO3-, NH4+, SO42- and OM at lag-5 day were associated with increased risk of asthma admission, with ORs of 1.04(1.00,1.08), 2.59(0.99,6.76), 1.17(1.02,1.33), 1.33(1.06,1.66), 1.28(1.05,1.55) and 1.16(0.98,1.37), respectively. Stratified analysis showed that PM2.5 and its components had a more significant impact on the risk of asthma admission for women; individuals aged ≥ 65 years, and during cold seasons at lag-5 day. The results remained stable in the sensitivity analysis.
Conclusion: Short-term exposure to PM2.5 and its components (NO3-, NH4+, SO42-) increases hospitalization risk in asthma patients, particularly among women, elder and those admitted during cold seasons. It provides new insight for reducing the asthma burden associated with particulate air pollution.
期刊介绍:
Providing an authoritative open forum on asthma and related conditions, Journal of Asthma publishes clinical research around such topics as asthma management, critical and long-term care, preventative measures, environmental counselling, and patient education.