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dc.contributor.authorCarracedo-Martínez, Eduardo-
dc.contributor.authorTaracido, Margarita-
dc.contributor.authorTobías, Aurelio-
dc.date.accessioned2010-09-16T07:28:38Z-
dc.date.available2010-09-16T07:28:38Z-
dc.date.issued2010-03-31-
dc.identifier.citationEnvironmental Health Perspectives 118(8): 1173-1182 (2010)en_US
dc.identifier.issn0091-6765-
dc.identifier.urihttp://hdl.handle.net/10261/27691-
dc.description10 pages, 2 figures, 5 tables.-- PMID: 20356818 [PubMed].--PMCID: PMC2920078.-- Printed version published Aug 2010.en_US
dc.description.abstractBACKGROUND: 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.en_US
dc.description.abstractOBJECTIVE: 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.en_US
dc.description.abstractDATA 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.en_US
dc.description.abstractDATA 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.en_US
dc.description.abstractCONCLUSIONS: 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.This study was supported by grant CIBERESP-MET-007 from the Consortium for Biomedical Research in Epidemiology and Public Health [CIBER en Epidemiología y Salud Pública (CIBERESP)], Spain. A.T. was funded by project PI080354 [Fondo de Investigaciones Sanitarias (FIS)] of the Subdirectorate-General for Research Evaluation and Development and by project 200930I008 [Consejo Superior de Investigaciones Científicas (CSIC)].en_US
dc.description.sponsorshipThis study was supported by grant CIBERESP-MET-007 from the Consortium for Biomedical Research in Epidemiology and Public Health [CIBER en Epidemiología y Salud Pública (CIBERESP)], Spain. A.T. was funded by project PI080354 [Fondo de Investigaciones Sanitarias (FIS)] of the Subdirectorate-General for Research Evaluation and Development and by project 200930I008 [Consejo Superior de Investigaciones Científicas (CSIC)].en_US
dc.format.extent1606248 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherNational Institute of Environmental Health Sciences (U.S.)en_US
dc.rightsopenAccessen_US
dc.titleCase-crossover analysis of air pollution health effects: a systematic review of methodology and applicationen_US
dc.typeartículoen_US
dc.identifier.doihttp://dx.doi.org/10.1289/ehp.0901485-
dc.description.peerreviewedPeer revieweden_US
dc.relation.publisherversionhttp://dx.doi.org/10.1289/ehp.0901485en_US
dc.identifier.e-issn1552-9924-
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