DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chung, Yeonseung | ko |
dc.contributor.author | Dominici, Francesca | ko |
dc.contributor.author | Wang, Yun | ko |
dc.contributor.author | Coull, Brent A. | ko |
dc.contributor.author | Bell, Michelle L. | ko |
dc.date.accessioned | 2015-07-29T01:44:15Z | - |
dc.date.available | 2015-07-29T01:44:15Z | - |
dc.date.created | 2015-07-22 | - |
dc.date.created | 2015-07-22 | - |
dc.date.created | 2015-07-22 | - |
dc.date.created | 2015-07-22 | - |
dc.date.created | 2015-07-22 | - |
dc.date.issued | 2015-05 | - |
dc.identifier.citation | ENVIRONMENTAL HEALTH PERSPECTIVES, v.123, no.5, pp.467 - 474 | - |
dc.identifier.issn | 0091-6765 | - |
dc.identifier.uri | http://hdl.handle.net/10203/200244 | - |
dc.description.abstract | BACKGROUND: Several epidemiological studies have reported that long-term exposure to fine particulate matter (PM2.5) is associated with higher mortality. Evidence regarding contributions of PM2.5 constituents is inconclusive. OBJECTIVES: We assembled a data set of 12.5 million Medicare enrollees (>= 65 years of age) to determine which PM2.5 constituents are a) associated with mortality controlling for previous-year PM2.5 total mass (main effect); and b) elevated in locations exhibiting stronger associations between previous-year PM2.5 and mortality (effect modification). METHODS: For 518 PM2.5 monitoring locations (eastern United States, 2000-2006), we calculated monthly mortality rates, monthly long-term (previous 1-year average) PM2.5, and 7-year averages (2000-2006) of major PM2.5 constituents [elemental carbon (EC), organic carbon matter (OCM), sulfate (SO42-), silicon (Si), nitrate (NO3-), and sodium (Na)] and community-level variables. We applied a Bayesian hierarchical model to estimate location-specific mortality rates associated with previous-year PM2.5 (model level 1) and identify constituents that contributed to the spatial variability of mortality, and constituents that modified associations between previous-year PM2.5 and mortality (model level 2), controlling for community-level confounders. RESULTS: One-standard deviation (SD) increases in 7-year average EC, Si, and NO3- concentrations were associated with 1.3% [95% posterior interval (PI): 0.3, 2.2], 1.4% (95% PI: 0.6, 2.4), and 1.2% (95% PI: 0.4, 2.1) increases in monthly mortality, controlling for previous-year PM2.5. Associations between previous-year PM2.5 and mortality were stronger in combination with 1-SD increases in SO42- and Na. CONCLUSIONS: Long-term exposures to PM2.5 and several constituents were associated with mortality in the elderly population of the eastern United States. Moreover, some constituents increased the association between long-term exposure to PM2.5 and mortality. These results provide new evidence that chemical composition can partly explain the differential toxicity of PM2.5. | - |
dc.language | English | - |
dc.publisher | US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE | - |
dc.title | Associations between Long-Term Exposure to Chemical Constituents of Fine Particulate Matter (PM2.5) and Mortality in Medicare Enrollees in the Eastern United States | - |
dc.type | Article | - |
dc.identifier.wosid | 000357294000026 | - |
dc.identifier.scopusid | 2-s2.0-84951278420 | - |
dc.type.rims | ART | - |
dc.citation.volume | 123 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 467 | - |
dc.citation.endingpage | 474 | - |
dc.citation.publicationname | ENVIRONMENTAL HEALTH PERSPECTIVES | - |
dc.identifier.doi | 10.1289/ehp.1307549 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Chung, Yeonseung | - |
dc.contributor.nonIdAuthor | Dominici, Francesca | - |
dc.contributor.nonIdAuthor | Wang, Yun | - |
dc.contributor.nonIdAuthor | Coull, Brent A. | - |
dc.contributor.nonIdAuthor | Bell, Michelle L. | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | TIME-SERIES ANALYSIS | - |
dc.subject.keywordPlus | AIR-POLLUTION | - |
dc.subject.keywordPlus | MEASUREMENT ERROR | - |
dc.subject.keywordPlus | HOSPITALIZATIONS | - |
dc.subject.keywordPlus | COMPONENTS | - |
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