Relationships between fixed-site ambient measurements of nitrogen dioxide, ozone, and particulate matter and personal exposures in Grand Paris, France: the MobiliSense study

Author:

Bista Sanjeev1,Fancello Giovanna2,Zeitouni Karine3,Annesi-Maesano Isabella4,Chaix Basile2

Affiliation:

1. Centre de Recherche en Santé Publique, Université de Montréal, 7101, Avenue du Parc., Montreal, Quebec, H3N 1X9 Canada

2. Sorbonne Université, INSERM, Institut Pierre Louis d’Epidémiologie et de Santé Publique IPLESP, Nemesis team, Faculté de Médecine Saint-Antoine, 27 rue Chaligny, 75012 Paris, France

3. Université Paris-Saclay, UVSQ, DAVID UR 7431, Versailles, France.

4. IDESP, Univ Montpellier, INSERM, Department of Allergic and Respiratory Medicine, Montpellier University Hospital Montpellier, Montpellier, France

Abstract

Abstract

Past epidemiological studies using fixed-site outdoor air pollution measurements as a proxy for participants’ exposure might have suffered from exposure misclassification. In the MobiliSense study, personal exposures to ozone (O3), nitrogen dioxide (NO2), and particles with aerodynamic diameters below 2.5 µm (PM2.5) were monitored with a personal air quality monitor. All the spatial location points collected with a personal GPS receiver and mobility survey were used to retrieve background hourly concentrations of air pollutants from the nearest Airparif monitoring station. We modeled 851343 minute-level observations from 246 participants. Visited places including the residence contributed the majority of the minute-level observations, 93.0%, followed by active transport (3.4%), and the rest were from on-road and rail transport, 2.4% and 1.1%, respectively. Comparison of personal exposures and station-measured concentrations for each individual indicated low Spearman correlations for NO2 (median across participants: 0.23), O3 (median: 0.21), and PM2.5 (median: 0.27), with varying levels of correlation by microenvironments. Generally, a large degree of individual variability in the correlation between personal and fixed-site measurements was found for all air pollutants. Results from mixed-effect models indicated that personal exposure was very weakly explained by station-measured concentrations (R2 < 0.07) for all air pollutants. The fit of the model was relatively high for O3 in the active transport microenvironment (R2: 0.25) and for PM2.5 in active transport (R2: 0.16) and in the separated rail transport microenvironment (R2: 0.20). Model fit slightly increased with decreasing distance between participants’ location and the nearest monitoring station. Our results demonstrate a relatively low correlation between personal exposure and station-measured air pollutants, confirming that station-measured concentrations as proxies of personal exposures can lead to exposure misclassification. However, distance and the type of microenvironment are shown to affect the extent of misclassification.

Publisher

Research Square Platform LLC

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