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Eur Respir J. 2017 Jan 11;49(1). pii: 1502127. doi: 10.1183/13993003.02127-2015. Print 2017 Jan.

Ambient air pollution, traffic noise and adult asthma prevalence: a BioSHaRE approach.

Author information

1
MRC-PHE Centre for Environment and Health, Dept of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK yutong.cai@imperial.ac.uk.
2
Dept of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
3
Research Institute of the McGill University Health Centre and Dept of Medicine, McGill University, Montreal, QC, Canada.
4
MRC-PHE Centre for Environment and Health, Dept of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
5
Data to Knowledge (D2K) Research Group, University of Bristol, Bristol, UK.
6
Public Population Project in Genomics and Society (P3G), Montreal, QC, Canada.
7
Metabolic, Cardiovascular and Inflammatory Disease Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA.
8
Swiss Tropical and Public Health Institute, Basel, Switzerland.
9
University of Basel, Basel, Switzerland.
10
Dept of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway.
11
Directorate of Public Health and Primary Care, Imperial College Healthcare NHS Trust, London, UK.

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.

Comment in

PMID:
27824608
DOI:
10.1183/13993003.02127-2015
[Indexed for MEDLINE]
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