Methods to analyze exposure

Estimating exposure to air pollution

The first article compares several methods for estimating exposure to air pollution. The three methods compared are (1) estimating exposure to air pollution by considering only the level of outdoor air pollution and using data from Atmo Auvergne Rhône-Alpes corresponding to the home address, (2) estimating exposure by integrating the displacements of volunteers using GPS and diary data combined with outdoor-air data from Atmo Auvergne Rhône-Alpes, and (3) estimating exposure to air pollution using data from individual dosimeters worn by volunteers, such as passive NO2 sensors. The main result is that the third method (the individual dosimeter) is not consistent with the first two methods. This result shows the importance of personal measurements that consider both outdoor exposure (during displacements, for example) and indoor exposure (at home, at work, at friends) to estimate exposure over short periods of time. Such measurements are made possible by individual dosimeters worn for several days.

Modèle extérieur statique

Modèle extérieur + GPS

Dosimètres personnels

Estimating exposure to endocrine disruptors

The second article compares several methods for estimating exposure to endocrine disruptors. In the SEPAGES pilot study, we asked each woman to collect urine samples over a period of one week, obtaining an average of 70 samples per woman. From this sampling, we created for analysis “daily” samples (grouping together all samples collected over the course of a given day) and “weekly” samples (grouping all samples acquired during the week). Subsequently, endocrine disruptors were assessed either from a single urine sample, a daily sample, or a weekly sample. The main result indicates that measuring endocrine disruptors during pregnancy from a single sample is insufficient to accurately estimate the average exposure to endocrine disruptors. Depending on the endocrine disruptor, daily or weekly samples are required. Collecting several urine samples is therefore vital for accurately estimating the exposure to most endocrine disruptors.

Resultats perturbateurs