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Article: Long-term exposure to ambient fine particulate matter and mortality from renal failure: a retrospective cohort study in Hong Kong
Title | Long-term exposure to ambient fine particulate matter and mortality from renal failure: a retrospective cohort study in Hong Kong |
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Authors | |
Keywords | fine particulate matter renal failure chronic kidney disease long-term residential exposure |
Issue Date | 2020 |
Publisher | Oxford University Press. The Journal's web site is located at http://aje.oxfordjournals.org/ |
Citation | American Journal of Epidemiology, 2020, Epub 2020-01-06 How to Cite? |
Abstract | Numerous studies have indicated the ambient particulate matter is closely associated with increased cardiovascular disease, yet the evidence for its association with the renal disease remains under-recognized. We aimed to estimate the association between long-term exposure to fine particulate matter (PM2.5) and renal failure (RF) mortality among participants of the Elderly Health Service Cohort in Hong Kong from 1998 to 2010. PM2.5 concentration at the residential address of each participant was estimated based on a satellite-based spatiotemporal model. We used Cox proportional hazards regression to estimate the risks of overall renal failure (RF) and cause-specific mortality associated with PM2.5. After excluding 5,373 subjects without information on the residential address or relevant covariates, a total of 61,447 participants were included in data analyses. We totally identified 443 RF deaths during the 10 years of follow-up. For an interquartile-range increase in PM2.5 concentrations (3.22 μg/m3), hazard ratios of RF mortality were 1.23 (95% confidence interval (CI): 1.06 to 1.43) among all cohort participants and 1.42 (95% CI: 1.16 to 1.74) among patients with chronic kidney disease. Long-term exposure to atmospheric PM2.5 might be an important risk factor of RF mortality in the elderly population, especially among participants with existing renal diseases. |
Persistent Identifier | http://hdl.handle.net/10722/281662 |
ISSN | 2019 Impact Factor: 4.526 2015 SCImago Journal Rankings: 3.047 |
DC Field | Value | Language |
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dc.contributor.author | RAN, J | - |
dc.contributor.author | Yang, A | - |
dc.contributor.author | SUN, S | - |
dc.contributor.author | Han, L | - |
dc.contributor.author | Li, J | - |
dc.contributor.author | GUO, F | - |
dc.contributor.author | Zhao, S | - |
dc.contributor.author | YANG, Y | - |
dc.contributor.author | MASON, TG | - |
dc.contributor.author | Chan, K-P | - |
dc.contributor.author | Lee, RS-Y | - |
dc.contributor.author | Qiu, H | - |
dc.contributor.author | Tian, L | - |
dc.date.accessioned | 2020-03-22T04:17:57Z | - |
dc.date.available | 2020-03-22T04:17:57Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | American Journal of Epidemiology, 2020, Epub 2020-01-06 | - |
dc.identifier.issn | 0002-9262 | - |
dc.identifier.uri | http://hdl.handle.net/10722/281662 | - |
dc.description.abstract | Numerous studies have indicated the ambient particulate matter is closely associated with increased cardiovascular disease, yet the evidence for its association with the renal disease remains under-recognized. We aimed to estimate the association between long-term exposure to fine particulate matter (PM2.5) and renal failure (RF) mortality among participants of the Elderly Health Service Cohort in Hong Kong from 1998 to 2010. PM2.5 concentration at the residential address of each participant was estimated based on a satellite-based spatiotemporal model. We used Cox proportional hazards regression to estimate the risks of overall renal failure (RF) and cause-specific mortality associated with PM2.5. After excluding 5,373 subjects without information on the residential address or relevant covariates, a total of 61,447 participants were included in data analyses. We totally identified 443 RF deaths during the 10 years of follow-up. For an interquartile-range increase in PM2.5 concentrations (3.22 μg/m3), hazard ratios of RF mortality were 1.23 (95% confidence interval (CI): 1.06 to 1.43) among all cohort participants and 1.42 (95% CI: 1.16 to 1.74) among patients with chronic kidney disease. Long-term exposure to atmospheric PM2.5 might be an important risk factor of RF mortality in the elderly population, especially among participants with existing renal diseases. | - |
dc.language | eng | - |
dc.publisher | Oxford University Press. The Journal's web site is located at http://aje.oxfordjournals.org/ | - |
dc.relation.ispartof | American Journal of Epidemiology | - |
dc.rights | Pre-print: Journal Title] ©: [year] [owner as specified on the article] Published by Oxford University Press [on behalf of xxxxxx]. All rights reserved. Pre-print (Once an article is published, preprint notice should be amended to): This is an electronic version of an article published in [include the complete citation information for the final version of the Article as published in the print edition of the Journal.] Post-print: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in [insert journal title] following peer review. The definitive publisher-authenticated version [insert complete citation information here] is available online at: xxxxxxx [insert URL that the author will receive upon publication here]. | - |
dc.subject | fine particulate matter | - |
dc.subject | renal failure | - |
dc.subject | chronic kidney disease | - |
dc.subject | long-term residential exposure | - |
dc.title | Long-term exposure to ambient fine particulate matter and mortality from renal failure: a retrospective cohort study in Hong Kong | - |
dc.type | Article | - |
dc.identifier.email | Li, J: claire20@HKUCC-COM.hku.hk | - |
dc.identifier.email | Chan, K-P: kpchanaa@hku.hk | - |
dc.identifier.email | Tian, L: linweit@hku.hk | - |
dc.identifier.authority | Tian, L=rp01991 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1093/aje/kwz282 | - |
dc.identifier.scopus | eid_2-s2.0-85088494115 | - |
dc.identifier.hkuros | 309389 | - |
dc.identifier.volume | Epub 2020-01-06 | - |
dc.publisher.place | United States | - |