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HERO ID
1419410
Reference Type
Journal Article
Title
Time-series analyses of air pollution and mortality in the United States: A subsampling approach
Author(s)
Moolgavkar, SH; Mcclellan, RO; Dewanji, A; Turim, J; Luebeck, EG; Edwards, M
Year
2013
Is Peer Reviewed?
Yes
Journal
Environmental Health Perspectives
ISSN:
0091-6765
EISSN:
1552-9924
Volume
121
Issue
1
Page Numbers
73-78
Language
English
PMID
23108284
DOI
10.1289/ehp.1104507
Web of Science Id
WOS:000323698700027
Abstract
BACKGROUND: Hierarchical Bayesian methods have been used in previous papers to estimate national mean effects of air pollutants on daily deaths in time-series analyses. OBJECTIVES: To obtain maximum likelihood estimates of the common national effects of the criteria pollutants on mortality based on time-series data from up to 108 metropolitan areas in the U.S. METHODS: We used a subsampling bootstrap procedure to obtain the maximum likelihood estimates and confidence bounds for common national effects of the criteria pollutants, as measured by the percentage increase in daily mortality associated with a unit increase in daily 24-hour mean pollutant concentration on the previous day, while controlling weather and temporal trends. Five pollutants, PM10, ozone, CO, NO2, and SO2 were considered in single and multi-pollutant analyses. Flexible ambient concentration-response models for the pollutant effects were considered as well. Limited sensitivity analyses with different degrees of freedom for time trends were performed. RESULTS: In single pollutant models, we observed significant associations of daily deaths with all pollutants. The ozone coefficient was highly sensitive to the degree of smoothing of time trends. Among the gases, SO2 and NO2 were most strongly associated with mortality. The flexible ambient concentration-response curve for ozone showed evidence of non-linearity and a threshold at about 30 ppb. CONCLUSIONS: Differences between the results of our analyses and those reported from the Bayesian approach suggest that estimates of the quantitative impact of pollutants are dependent on choice of statistical approach, although results are not directly comparable because they are based on different data. Additionally, the estimate of the ozone-mortality coefficient depends on the amount of smoothing of time trends.
Keywords
criteria pollutants; hierarchical Bayes; multicity analyses; spline smoothers; subsampling bootstrap
Tags
•
ISA-CO (2010 Final Project Page)
•
ISA-NOx (2016)
Considered
Health Effects
Cited
1st Draft
Epidemiology
2nd Draft
Final
Final Cited
•
ISA-Ozone (2013 Final Project Page)
•
ISA-Ozone (2020 Final Project Page)
Literature Search Results
Literature Search - Included
Keyword Search
Topic Classified Epidemiology
Title-Abstract Screening (SWIFT-AS) - Included
Title-Abstract Screening (SWIFT-AS) - Included
Full-Text Screening Included
Full-Text Screening Included
Included in ISA First Draft
Appendix 6
Included in ISA Final Draft
Appendix 6
•
ISA-PM (2009 Final Project Page)
•
ISA-PM (2019)
•
ISA-SOx
Considered
Chapter Review
Health Effects
Cited in First ERD Nov2015
Cited Second ERD Dec2016
Cited in Final ISA Dec2017
Chapter 5 – Health
•
LitSearch-NOx (2024)
Forward Citation Search
Epidemiology
Seeds
Mortality-ST
•
MSA-Multipollutant Exposure Metric Review
Lit Search – Dec 2013
Pubmed
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