Imperial College London


Faculty of MedicineSchool of Public Health

Chair in Biostatistics



m.blangiardo Website




528Norfolk PlaceSt Mary's Campus






BibTex format

author = {Cai, Y and Blangiardo, M and de, Hoogh K and Gulliver, J and Morley, D and Doiron, D and Elliott, P and Hansell, A and Hodgson, S},
pages = {137--142},
title = {Road traffic noise, air pollution and cardiorespiratory Health in European Cohorts: A harmonised approach in the BioShare project},
year = {2020}

RIS format (EndNote, RefMan)

AB - Copyright © (2015) by EAA-NAG-ABAV, All rights reserved Background and aims: Few studies have investigated joint effects of road traffic noise and air pollution on cardiorespiratory outcomes. This project aims to quantify the joint and separate effects of both exposures on prevalent and incident cardiovascular disease and asthma as part of the EU-funded BioSHaRE project involving five European cohorts (EPIC-Oxford, EPIC-Turin, HUNT, Lifelines, UK Biobank). Methods: Health outcomes have been ascertained by self-report (prevalence) and medical record (incidence) and retrospectively harmonised across cohorts. Residential road traffic noise exposures for each participant are estimated using a European noise model based on Common Noise Assessment Methods in Europe (CNOSSOS-EU). Road traffic air pollution estimates at home address were derived from Land Use Regression models. Cross-sectional and incident epidemiological analyses are in progress, using individual level data, virtually pooled using DataSHIELD methodology. Results: In total, 742,950 men and women are included from all five cohorts, mostly >40 years. Prevalence of self-reported myocardial infarction from these five cohorts is 2.1% (N=15,031) while prevalence of self-reported stroke is 1.4% (N=10,077). Initial pooled analysis of EPIC-Oxford, HUNT and Lifelines showed median day-time (07:00-19:00) noise estimate of 51.8 dB(A) and night-time (23:00-07:00) noise estimate of 43.5 dB(A). Correlations between noise estimates and NO2 are generally low (r=0.1 to 0.4). Conclusions: Pooling of individual level harmonised data from established cohorts offers the large sample sizes and exposure variations needed to investigate effects of road traffic noise and ambient air pollution on cardio-respiratory diseases.
AU - Cai,Y
AU - Blangiardo,M
AU - de,Hoogh K
AU - Gulliver,J
AU - Morley,D
AU - Doiron,D
AU - Elliott,P
AU - Hansell,A
AU - Hodgson,S
EP - 142
PY - 2020///
SP - 137
TI - Road traffic noise, air pollution and cardiorespiratory Health in European Cohorts: A harmonised approach in the BioShare project
ER -