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A Review of Exposure Assessment Methods in Epidemiological Studies on Incinerators
Author(s) -
Michele Cordioli,
Andrea Ranzi,
Giulio A. De Leo,
Paolo Lauriola
Publication year - 2013
Publication title -
journal of environmental and public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.869
H-Index - 35
eISSN - 1687-9813
pISSN - 1687-9805
DOI - 10.1155/2013/129470
Subject(s) - exposure assessment , environmental health , environmental epidemiology , population , incineration , environmental science , residence , confounding , epidemiology , statistics , econometrics , medicine , demography , mathematics , engineering , waste management , sociology
Incineration is a common technology for waste disposal, and there is public concern for the health impact deriving from incinerators. Poor exposure assessment has been claimed as one of the main causes of inconsistency in the epidemiological literature. We reviewed 41 studies on incinerators published between 1984 and January 2013 and classified them on the basis of exposure assessment approach. Moreover, we performed a simulation study to explore how the different exposure metrics may influence the exposure levels used in epidemiological studies. 19 studies used linear distance as a measure of exposure to incinerators, 11 studies atmospheric dispersion models, and the remaining 11 studies a qualitative variable such as presence/absence of the source. All reviewed studies utilized residence as a proxy for population exposure, although residence location was evaluated with different precision (e.g., municipality, census block, or exact address). Only one study reconstructed temporal variability in exposure. Our simulation study showed a notable degree of exposure misclassification caused by the use of distance compared to dispersion modelling. We suggest that future studies (i) make full use of pollution dispersion models; (ii) localize population on a fine-scale; and (iii) explicitly account for the presence of potential environmental and socioeconomic confounding.

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