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Meta-analysis of the association between short-term exposure to ambient ozone and respiratory hospital admissions

Environmental research letters, 2011-04, Vol.6 (2), p.024006 [Peer Reviewed Journal]

Copyright IOP Publishing Apr 2011 ;ISSN: 1748-9326 ;EISSN: 1748-9326 ;DOI: 10.1088/1748-9326/6/2/024006 ;PMID: 21779304

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  • Title:
    Meta-analysis of the association between short-term exposure to ambient ozone and respiratory hospital admissions
  • Author: Ji, Meng ; Cohan, Daniel S ; Bell, Michelle L
  • Subjects: Asthma ; Bias ; Emergency medical services ; Estimates ; Exposure ; Hospitalization ; Meta-analysis ; Older people ; Ozone ; Respiratory diseases
  • Is Part Of: Environmental research letters, 2011-04, Vol.6 (2), p.024006
  • Description: Ozone is associated with health impacts including respiratory outcomes; however, results differ across studies. Meta-analysis is an increasingly important approach to synthesizing evidence across studies. We conducted meta-analysis of short-term ozone exposure and respiratory hospitalizations to evaluate variation across studies and explore some of the challenges in meta-analysis. We identified 136 estimates from 96 studies and investigated how estimates differed by age, ozone metric, season, lag, region, disease category, and hospitalization type. Overall results indicate associations between ozone and various types of respiratory hospitalizations; however, study characteristics affected risk estimates. Estimates were similar, but higher, for the elderly compared to all ages and for previous day exposure compared to same day exposure. Comparison across studies was hindered by variation in definitions of disease categories, as some (e.g., asthma) were identified through ≥3 different sets of ICD codes. Although not all analyses exhibited evidence of publication bias, adjustment for publication bias generally lowered overall estimates. Emergency hospitalizations for total respiratory disease increased 4.47% (95% interval 2.48, 6.50%) per 10ppb 24-hr ozone among the elderly without adjustment for publication bias and 2.97% (1.05, 4.94%) with adjustment. Comparison of multi-city study results and meta-analysis based on single-city studies further suggested publication bias.
  • Publisher: England: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1748-9326
    EISSN: 1748-9326
    DOI: 10.1088/1748-9326/6/2/024006
    PMID: 21779304
  • Source: Open Access: IOP Publishing Free Content
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