Li, Naixin and Maesano, Cara N. and Friedrich, Rainer and Medda, Emanuela and Brandstetter, Susanne and Kabesch, Michael and Apfelbacher, Christian and Melter, Michael and Seelbach-Goebel, Birgit and Annesi-Maesano, Isabella and Sarigiannis, Dimosthenis (2019) A model for estimating the lifelong exposure to PM2.5 and NO2 and the application to population studies. ENVIRONMENTAL RESEARCH, 178: 108629. ISSN 0013-9351, 1096-0953
Full text not available from this repository. (Request a copy)Abstract
Numerous epidemiological studies have confirmed the negative influences of air pollutants on human health, where fine particles (PM2.5) and nitrogen dioxide (NO2) cause the highest health risks. However, the traditional studies have only involved the ambient concentration for a short to medium time period, which ignores the influence of indoor sources, the individual time-activity pattern, and the fact that the health status is impacted by the long-term accumulated exposure. The aim of this paper is to develop a methodology to simulate the lifelong exposure (rather than outdoor concentration) to PM2.5 and NO2 for individuals in Europe. This method is realized by developing a probabilistic model that integrates an outdoor air quality model, a model estimating indoor air pollution, an exposure model, and a life course trajectory model for predicting retrospectively the employment status. This approach has been applied to samples of two population studies in the frame of the European Commission FP7-ENVIRONMENT research project HEALS (Health and Environment-wide Associations based on Large Population Surveys), where socioeconomic data of the participants have been collected. Results show that the simulated exposures to both pollutants for the samples are influenced by socio-demographic characteristics, including age, gender, residential location, employment status and smoking habits. Both outdoor concentrations and indoor sources play an important role in the total exposure. Moreover, large variances have been observed among countries and cities. The application of this methodology provides valuable insights for the exposure modelling, as well as important input data for exploring the correlation between exposure and health impacts.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | INDOOR NITROGEN-DIOXIDE; AIR-POLLUTION; PARTICULATE MATTER; PERSONAL EXPOSURE; OUTDOOR; ASSOCIATION; MORTALITY; EMISSIONS; IMPACT; CITIES; Fine particles; Nitrogen dioxide; Exposure modelling; Sequence analysis; Socio-demographic characteristics |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Kinder- und Jugendmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 25 Mar 2020 06:42 |
| Last Modified: | 25 Mar 2020 06:42 |
| URI: | https://pred.uni-regensburg.de/id/eprint/25946 |
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