环境空气污染，交通噪音和成人哮喘的患病率:一个BioSHaRE研究
2017/11/20
摘要
我们调查了环境空气污染和交通噪音对于成人哮喘的患病率的影响，使用三个欧洲队列研究建立的2006-2013年的数据（HUNT3, Lifelines and UK Biobank）。
应用回归模型来评估2007年全欧洲地域内暴露于环境空气污染（空气动力学直径≤10 µm的颗粒物和NO2）的住宅区域。通过调整一个标准化的噪音评估框架（CNOSSOS-EU）来制作2009年的室内交通噪音模型。
独立的混杂因素PM10或者NO2高出10 µg·m−3分别与更高的12.8%和1.9%的终身哮喘患病率相关。在年龄≥50岁，吸烟和教育程度低的人群中影响作用更大。
这个研究提示长期暴露于环境PM10与西欧成人哮喘的患病率相关。交通噪音与哮喘患病率无关，但是它对于哮喘急性加重的潜在作用还需要进一步调查研究。
Ambient air pollution, traffic noise and adult asthma prevalence: a BioSHaRE approach
Yutong Cai, Wilma L. Zijlema, Dany Doiron, Marta Blangiardo, Paul R. Burton, Isabel Fortier, Amadou Gaye, John Gulliver, Kees de Hoogh, Kristian Hveem, Stéphane Mbatchou, David W. Morley, Ronald P. Stolk, Paul Elliott, Anna L. Hansell, Susan Hodgson
European Respiratory Journal 2017 49: 1502127;
Abstract
We investigated the effects of both ambient air pollution and traffic noise on adult asthma prevalence, using harmonised data from three European cohort studies established in 2006–2013 (HUNT3, Lifelines and UK Biobank).
Residential exposures to ambient air pollution (particulate matter with aerodynamic diameter ≤10 µm (PM10) and nitrogen dioxide (NO2)) were estimated by a pan-European Land Use Regression model for 2007. Traffic noise for 2009 was modelled at home addresses by adapting a standardised noise assessment framework (CNOSSOS-EU). A cross-sectional analysis of 646 731 participants aged ≥20 years was undertaken using DataSHIELD to pool data for individual-level analysis via a “compute to the data” approach. Multivariate logistic regression models were fitted to assess the effects of each exposure on lifetime and current asthma prevalence.
PM10 or NO2 higher by 10 µg•m−3 was associated with 12.8% (95% CI 9.5–16.3%) and 1.9% (95% CI 1.1–2.8%) higher lifetime asthma prevalence, respectively, independent of confounders. Effects were larger in those aged ≥50 years, ever-smokers and less educated. Noise exposure was not significantly associated with asthma prevalence.
This study suggests that long-term ambient PM10 exposure is associated with asthma prevalence in western European adults. Traffic noise is not associated with asthma prevalence, but its potential to impact on asthma exacerbations needs further investigation.
我们调查了环境空气污染和交通噪音对于成人哮喘的患病率的影响，使用三个欧洲队列研究建立的2006-2013年的数据（HUNT3, Lifelines and UK Biobank）。
应用回归模型来评估2007年全欧洲地域内暴露于环境空气污染（空气动力学直径≤10 µm的颗粒物和NO2）的住宅区域。通过调整一个标准化的噪音评估框架（CNOSSOS-EU）来制作2009年的室内交通噪音模型。
独立的混杂因素PM10或者NO2高出10 µg·m−3分别与更高的12.8%和1.9%的终身哮喘患病率相关。在年龄≥50岁，吸烟和教育程度低的人群中影响作用更大。
这个研究提示长期暴露于环境PM10与西欧成人哮喘的患病率相关。交通噪音与哮喘患病率无关，但是它对于哮喘急性加重的潜在作用还需要进一步调查研究。
（复旦大学附属中山医院呼吸内科 李蕾 摘译 杨冬 审校）
（European Respiratory Journal 2017 49: 1502127 ）
（European Respiratory Journal 2017 49: 1502127 ）
Ambient air pollution, traffic noise and adult asthma prevalence: a BioSHaRE approach
Yutong Cai, Wilma L. Zijlema, Dany Doiron, Marta Blangiardo, Paul R. Burton, Isabel Fortier, Amadou Gaye, John Gulliver, Kees de Hoogh, Kristian Hveem, Stéphane Mbatchou, David W. Morley, Ronald P. Stolk, Paul Elliott, Anna L. Hansell, Susan Hodgson
European Respiratory Journal 2017 49: 1502127;
Abstract
We investigated the effects of both ambient air pollution and traffic noise on adult asthma prevalence, using harmonised data from three European cohort studies established in 2006–2013 (HUNT3, Lifelines and UK Biobank).
Residential exposures to ambient air pollution (particulate matter with aerodynamic diameter ≤10 µm (PM10) and nitrogen dioxide (NO2)) were estimated by a pan-European Land Use Regression model for 2007. Traffic noise for 2009 was modelled at home addresses by adapting a standardised noise assessment framework (CNOSSOS-EU). A cross-sectional analysis of 646 731 participants aged ≥20 years was undertaken using DataSHIELD to pool data for individual-level analysis via a “compute to the data” approach. Multivariate logistic regression models were fitted to assess the effects of each exposure on lifetime and current asthma prevalence.
PM10 or NO2 higher by 10 µg•m−3 was associated with 12.8% (95% CI 9.5–16.3%) and 1.9% (95% CI 1.1–2.8%) higher lifetime asthma prevalence, respectively, independent of confounders. Effects were larger in those aged ≥50 years, ever-smokers and less educated. Noise exposure was not significantly associated with asthma prevalence.
This study suggests that long-term ambient PM10 exposure is associated with asthma prevalence in western European adults. Traffic noise is not associated with asthma prevalence, but its potential to impact on asthma exacerbations needs further investigation.
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哮喘与患冠心病的风险：相关队列研究的META分析
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重症哮喘研究计划（SARP III）队列的基线特征：差异与年龄
