工业生产造成的空气污染或与儿童哮喘关联
  • 纳入加拿大72万余名儿童健康数据,其中包含6.6万余名哮喘病例,根据其家庭住址,利用模型估计其受到的工业污染的程度;
  • 儿童哮喘发病率在1-2岁时最高,随着年龄增加而下降;
  • 三种来自工业的污染物(PM2.5、SO2、NO2)暴露浓度与哮喘的关联并非线性关系;
  • 在低浓度范围,污染物暴露浓度增加时,哮喘风险增加较明显;
  • 调整其他来源污染物后,工业来源PM2.5、NO2浓度与哮喘风险的关联仍然存在。
主编推荐语
小笋干儿
本研究利用健康档案数据结合环境污染数据进行分析,强调了来自于工业污染源的空气污染物暴露会增加儿童哮喘发病风险。该研究的创新之处在于首次将空气污染物“定位”在工业污染,对指导城市规划具有重要的意义。
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Air pollution from industries and asthma onset in childhood: A population-based birth cohort study using dispersion modeling

来自工业的空气污染与儿童哮喘发病的关联:一项基于扩散模型的人群出生队列研究

10.1016/j.envres.2020.109180

01-25, Article

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Background: Despite evidence that ambient air pollution may play a role in the development of asthma, little is known about the potential contribution of industrial emissions.
Objective: We used a population-based birth cohort to investigate the association between asthma onset in childhood and residential exposure to industrial emissions, estimated from atmospheric dispersion modeling.
Methods: The study population comprised all children born in the province of Quebec, Canada, 2002-2011. Asthma onset were ascertained from health administrative databases with validated algorithms. We used atmospheric dispersion modeling to develop time-varying annual mean concentration of ambient PM2.5, NO2 and SO2 at participants' residence from industries. For each pollutant, we assessed the association between industrial emissions exposure and childhood asthma onset using Cox proportional hazard model, adjusted for sex, material and social deprivation and calendar year. Sensitivity analysis included adjusting for long-term regional and traffic-related ambient PM2.5 and NO2, and assessing potential confounding by unmeasured secondhand smoke.
Results: The cohort included 722,667 children and 66,559 incident cases of asthma. For all pollutants, we found a non-linear association between childhood asthma onset and residential ambient air pollutant concentration from industries, with stronger effects at lower concentrations. A change from 25th to the 75th percentile in the mean annual ambient concentration of PM2.5 (0.13 μg/m3), NO2 (1.0 ppb) and SO2 (1.6 ppb) from industrial emissions was associated with a 19% (95% CI: 17-20%), 21% (95% CI: 19-23%) and 23% (95% CI: 21-24%) increase in the risk of asthma onset in children, respectively. For PM2.5 and NO2, associations were persisting after adjustments for long-term regional PM2.5 and traffic-related NO2 ambient concentration.
Conclusion: Residential exposure to industrial emissions estimated from dispersion modeling was associated with asthma onset in childhood. Importantly, associations were stronger at lower concentrations and independent from those of other sources, thus adding up to the burden of regional and traffic-related air pollution.

First Authors:
Stéphane Buteau

Correspondence Authors:
Audrey Smargiassi

All Authors:
Stéphane Buteau,Maryam Shekarrizfard,Marianne Hatzopolou,Philippe,Gamache,Ling Liu,Audrey Smargiassi

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