Case-Crossover Analysis of Air Pollution Health Effects: A Systematic Review of Methodology and Application

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dc.contributor.author Carracedo Martínez, Eduardo
dc.contributor.author Taracido, Margarida
dc.contributor.author Tobías, Aurelio
dc.contributor.author Sáez Zafra, Marc
dc.contributor.author Figueiras, Adolfo
dc.date.issued 2010
dc.identifier.citation Carracedo-Martínez, E., Taracido, M., Tobias, A., Saez, M., i Figueiras, A. (2010). Case-Crossover Analysis of Air Pollution Health Effects: A Systematic Review of Methodology and Application. Environmental Health Perspectives, 118 (8), 1173-1182. Recuperat 29 juliol de 2011, a http://dx.doi.org/10.1289/ehp.0901485
dc.identifier.issn 0091-6765
dc.identifier.uri http://hdl.handle.net/10256/3491
dc.description.abstract Case-crossover is one of the most used designs for analyzing the health-related effects of air pollution. Nevertheless, no one has reviewed its application and methodology in this context. Objective: We conducted a systematic review of case-crossover (CCO) designs used to study the relationship between air pollution and morbidity and mortality, from the standpoint of methodology and application.Data sources and extraction: A search was made of the MEDLINE and EMBASE databases.Reports were classified as methodologic or applied. From the latter, the following information was extracted: author, study location, year, type of population (general or patients), dependent variable(s), independent variable(s), type of CCO design, and whether effect modification was analyzed for variables at the individual level. Data synthesis: The review covered 105 reports that fulfilled the inclusion criteria. Of these, 24 addressed methodological aspects, and the remainder involved the design’s application. In the methodological reports, the designs that yielded the best results in simulation were symmetric bidirectional CCO and time-stratified CCO. Furthermore, we observed an increase across time in the use of certain CCO designs, mainly symmetric bidirectional and time-stratified CCO. The dependent variables most frequently analyzed were those relating to hospital morbidity; the pollutants most often studied were those linked to particulate matter. Among the CCO-application reports, 13.6% studied effect modification for variables at the individual level.Conclusions: The use of CCO designs has undergone considerable growth; the most widely used designs were those that yielded better results in simulation studies: symmetric bidirectional and time-stratified CCO. However, the advantages of CCO as a method of analysis of variables at the individual level are put to little use
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher National Institute of Environmental Health Sciences
dc.relation.isformatof Reproducció digital del document publicat a: http://dx.doi.org/10.1289/ehp.0901485
dc.relation.ispartof © Environmental Health Perspectives, 2010, vol. 118, núm. 8, p.1173-1182
dc.relation.ispartofseries Articles publicats (D-EC)
dc.rights Reproduced with permission from Environmental Health Perspectives
dc.subject Aire -- Contaminació -- Efectes fisiològics
dc.subject Epidemiologia
dc.subject Salut -- Efecte de la contaminació
dc.subject Air -- Pollution -- Physiological effect
dc.subject Epidemiology
dc.subject Health -- Effect of pollution on
dc.title Case-Crossover Analysis of Air Pollution Health Effects: A Systematic Review of Methodology and Application
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1289/ehp.0901485


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