Meta-analysis of the association between short-term exposure to ambient ozone and respiratory hospital admissions
Dados Bibliográficos
| ID | 15550754 |
|---|---|
| Autores | Meng Ji (0000-0002-7463-9208, autor correspondente), Daniel S Cohan (0000-0003-0415-7980, Rice University), Mary Lou Bell (0000-0002-3965-1359, Yale University), Michelle L Bell |
| Ano | 2011 |
| Volume | 6 |
| Fascículo | 2 |
| Páginas | 024006-024006 |
| Data de publicação | 2011-04-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Environmental Research Letters (JOURNAL) |
| Identificadores do periódico | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Editora | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/6/2/024006 |
| PMID | 21779304 |
| PMCID | PMC3138529 |
| OpenAlex | W2139972751 |
| Idioma | EN |
| Citações recebidas | 6 |
| Referências citadas | 123 |
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
Asthma · Confidence interval · Effect modification · Environmental health · Meta-analysis · Publication bias · Respiratory system · Air Quality and Health Impacts · Climate Change and Health Impacts · Health disparities and outcomes · Medicine · Demography · Internal Medicine
A decade of the U.S. energy mix transitioning away from coal
Associations between Different Ozone Indicators and Cardiovascular Hospital Admission
Health and Economic Impacts Assessment of O3 Exposure in Mexico
Cardiovascular disease and air pollution in Scotland
Learning about climate change solutions in the IPCC and beyond
Carbon reductions and health co-benefits from US residential energy efficiency measures
Summing Up
Publication bias in clinical research
Publication and related bias in meta-analysis
Trim and Fill
Bias in meta-analysis detected by a simple, graphical test
Approaches for estimating effects of climate change on heat-related deaths
Short term respiratory health effects of ambient air pollution
Short term effects of air pollution on emergency hospital admissions for respiratory disease
Methodological issues in studies of air pollution and daily counts of deaths or hospital admissions
Effect of short-term exposure to gaseous pollution on asthma hospitalisation in children
Effects of air pollution on daily hospital admissions for respiratory disease in London between 1987-88 and 1991-92
Air pollution and hospital admissions in Sydney, Australia, 1990 to 1994
| Obras citantes distintas | 6 |
|---|---|
| Citações por ano | 0,43 |
| Intervalo de citações | 2012 - 2023 (12) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 6 |