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- Publisher
- Springer Journals
- Copyright
- Copyright © 2017 by Springer International Publishing AG
- Subject
- Biomedicine; Pharmacology/Toxicology; Medicine/Public Health, general; Environmental Health
- eISSN
- 2196-5412
- DOI
- 10.1007/s40572-017-0162-z
- pmid
- 28988291
- Publisher site
- See Article on Publisher Site
Abstract
Curr Envir Health Rpt (2017) 4:481–490 DOI 10.1007/s40572-017-0162-z AIR POLLUTION AND HEALTH (S ADAR AND B HOFFMANN, SECTION EDITORS) Statistical Approaches to Address Multi-Pollutant Mixtures and Multiple Exposures: the State of the Science 1,2 3 3 4,5,6 Massimo Stafoggia & Susanne Breitner & Regina Hampel & Xavier Basagaña Published online: 7 October 2017 Springer International Publishing AG 2017 Abstract provided, together with epidemiological applications and op- Purpose of Review The purpose of this review is to describe erational details for implementation with standard software. the most recent statistical approaches to estimate the effect of . . multi-pollutant mixtures or multiple correlated exposures on Keywords Correlated variables Environmental exposures . . human health. Epidemiology Health Multi-pollutant Recent Findings The health effects of environmental chemicals or air pollutants have been widely described. Often, there exists a complex mixture of different substances, Introduction potentiallyhighlycorrelatedwitheachother and withother (environmental) stressors. Single-exposure approaches do not Associations between environmental chemicals or air pollu- allow disentangling effects of individual factors and fail to tion and adverse health outcomes have been reported world- detect potential interactions between exposures. In the last wide [1–4]. However, the population is exposed simulta- years, sophisticated methods have been developed to investi- neously
Journal
Current Environmental Health Reports – Springer Journals
Published: Oct 7, 2017