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Cited by 302Air Quality and Health ImpactsClimate Change and Health ImpactsIndoor Air Quality and Microbial Exposure

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

Ozone Exposure and Mortality: An Empiric Bayes Metaregression Analysis

Levy, Jonathan I., Chemerynski, Susan M., Sarnat, Jeremy A.·2005·Epidemiology
DOI 10.1097/01.ede.0000165820.08301.b3
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Abstract

BACKGROUND: Results from time-series epidemiologic studies evaluating the relationship between ambient ozone concentrations and premature mortality vary in their conclusions about the magnitude of this relationship, if any, making it difficult to estimate public health benefits of air pollution control measures. We conducted an empiric Bayes metaregression to estimate the ozone effect on mortality, and to assess whether this effect varies as a function of hypothesized confounders or effect modifiers. METHODS: We gathered 71 time-series studies relating ozone to all-cause mortality, and we selected 48 estimates from 28 studies for the metaregression. Metaregression covariates included the relationship between ozone concentrations and concentrations of other air pollutants, proxies for personal exposure-ambient concentration relationships, and the statistical methods used in the studies. For our metaregression, we applied a hierarchical linear model with known level-1 variances. RESULTS: We estimated a grand mean of a 0.21% increase (95% confidence interval = 0.16-0.26%) in mortality per 10-microg/m increase of 1-hour maximum ozone (0.41% increase per 10 ppb) without controlling for other air pollutants. In the metaregression, air-conditioning prevalence and lag time were the strongest predictors of between-study variability. Air pollution covariates yielded inconsistent findings in regression models, although correlation analyses indicated a potential influence of summertime PM2.5. CONCLUSIONS: These findings, coupled with a greater relative risk of ozone in the summer versus the winter, demonstrate that geographic and seasonal heterogeneity in ozone relative risk should be anticipated, but that the observed relationship between ozone and mortality should be considered for future regulatory impact analyses.

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Crossref · 10.1097/01.ede.0000165820.08301.b3

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Research works printed but not linked: 5

  1. Ito, 1996, J Expo Anal Environ Epidemiol, 6, 79
  2. Borja-Aburto, 1998, Environ Health Perspect, 106, 849
  3. Hong, 1999, Environ Health Perspect, 107, 873
  4. Kotesovec, 2000, Cent Eur J Public Health, 8, 120
  5. Ostro, 1996, J Expo Anal Environ Epidemiol, 6, 97

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Metadata

Authors
Levy, J. I., Chemerynski, S. M., & Sarnat, J. A.
Affiliations
Environmental Protection Agency (US)
Corresponding author
Levy, Jonathan I.
ORCID
Venue
Epidemiology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2005-07
Volume
16
Issue
4
Pages
458-468
ISSN
1044-3983 (ISSN-L)
DOI
10.1097/01.ede.0000165820.08301.b3
OpenAlex
W2063602828
Cited by
302
References
94
Citations by year
2026: 1 · 2025: 3 · 2024: 5 · 2023: 6 · 2022: 4 · 2021: 4 · 2020: 14 · 2019: 20 · 2018: 16 · 2017: 13 · 2016: 24 · 2015: 18 · 2014: 17 · 2013: 24 · 2012: 16
FWCI
1.94
Type
journal article
Language
en
Open access
closed
Locations
  • Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
Keywords
ozone, ambient air pollution, premature mortality, all-cause mortality, effect estimation, effect modification, time delay, PM2.5, seasonal variation, regulatory impact assessment
MeSH terms
Air Pollutants, Air Pollution, Bayes Theorem, Humans, Mortality, Ozone, Particle Size, Regression Analysis, Seasons, Urban Population, Weather, Confounding Factors, Epidemiologic, Risk Assessment

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