Long-term exposure to road traffic noise, ambient air pollution and cardiovascular risk factors in the HUNT and Lifelines cohorts

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Title: Long-term exposure to road traffic noise, ambient air pollution and cardiovascular risk factors in the HUNT and Lifelines cohorts
Author(s): Cai, Y
Hansell, A
Blangiardo, M
Burton, P
De Hoogh, K
Doiron, D
Fortier, I
Gulliver, J
Hveem, K
Mbatchou, S
Morley, D
Stolk, R
Zijlema, W
Elliott, P
Hodgson, S
Item Type: Journal Article
Abstract: Aims Blood biochemistry may provide information on associations between road traffic noise, air pollution, and cardiovascular disease risk. We evaluated this in two large European cohorts (HUNT3, Lifelines). Methods and results Road traffic noise exposure was modelled for 2009 using a simplified version of the Common Noise Assessment Methods in Europe (CNOSSOS-EU). Annual ambient air pollution (PM10, NO2) at residence was estimated for 2007 using a Land Use Regression model. The statistical platform DataSHIELD was used to pool data from 144 082 participants aged ≥20 years to enable individual-level analysis. Generalized linear models were fitted to assess cross-sectional associations between pollutants and high-sensitivity C-reactive protein (hsCRP), blood lipids and for (Lifelines only) fasting blood glucose, for samples taken during recruitment in 2006–2013. Pooling both cohorts, an inter-quartile range (IQR) higher day-time noise (5.1 dB(A)) was associated with 1.1% [95% confidence interval (95% CI: 0.02–2.2%)] higher hsCRP, 0.7% (95% CI: 0.3–1.1%) higher triglycerides, and 0.5% (95% CI: 0.3–0.7%) higher high-density lipoprotein (HDL); only the association with HDL was robust to adjustment for air pollution. An IQR higher PM10 (2.0 µg/m3) or NO2 (7.4 µg/m3) was associated with higher triglycerides (1.9%, 95% CI: 1.5–2.4% and 2.2%, 95% CI: 1.6–2.7%), independent of adjustment for noise. Additionally for NO2, a significant association with hsCRP (1.9%, 95% CI: 0.5–3.3%) was seen. In Lifelines, an IQR higher noise (4.2 dB(A)) and PM10 (2.4 µg/m3) was associated with 0.2% (95% CI: 0.1–0.3%) and 0.6% (95% CI: 0.4–0.7%) higher fasting glucose respectively, with both remaining robust to adjustment for air/noise pollution. Conclusion Long-term exposures to road traffic noise and ambient air pollution were associated with blood biochemistry, providing a possible link between road traffic noise/air pollution and cardio-metabolic disease risk.
Publication Date: 31-May-2017
Date of Acceptance: 28-Apr-2017
URI: http://hdl.handle.net/10044/1/48347
DOI: https://dx.doi.org/10.1093/eurheartj/ehx263
ISSN: 1522-9645
Publisher: Oxford University Press (OUP)
Start Page: 2290
End Page: 2296
Journal / Book Title: European Heart Journal
Volume: 38
Issue: 29
Copyright Statement: Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2017. This is a pre-copyedited, author-produced version of an article accepted for publication in European Heart Journal following peer review. The version of record is available online at: https://academic.oup.com/eurheartj/article-lookup/doi/10.1093/eurheartj/ehx263
Sponsor/Funder: National Institute for Health Research
Imperial College Healthcare NHS Trust- BRC Funding
Commission of the European Communities
Medical Research Council (MRC)
Medical Research Council (MRC)
National Institute for Health Research
EU FP7
Public Health England
Medical Research Council
Funder's Grant Number: NF-SI-0611-10136
RDC01 79560
261433
MR/L01632X/1
MR/L01341X/1
RTJ6219303-1
6509268
Keywords: Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Traffic noise
Air pollution
Systemic inflammation
Blood lipids
Blood glucose
ENVIRONMENTAL STRESSORS
SYSTEMIC INFLAMMATION
TERM EXPOSURE
DISEASE
ASSOCIATIONS
MECHANISMS
MARKERS
LONDON
MODEL
Air pollution
Blood glucose
Blood lipids
Systemic inflammation
Traffic noise
BioSHaRE
1102 Cardiovascular Medicine And Haematology
Cardiovascular System & Hematology
Publication Status: Published
Embargo Date: 2018-05-31
Appears in Collections:Faculty of Medicine
Epidemiology, Public Health and Primary Care



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