Biomass Burning as a Source of Ambient Fine Particulate Air Pollution and Acute Myocardial Infarction

BACKGROUND:Biomass burning is an important source of ambient fine particulate air pollution (PM2.5) in many regions of the world. METHODS:We conducted a time-stratified case-crossover study of ambient PM2.5 and hospital admissions for myocardial infarction (MI) in three regions of British Columbia,...

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Veröffentlicht in:Epidemiology (Cambridge, Mass.) Mass.), 2017-05, Vol.28 (3), p.329-337
Hauptverfasser: Weichenthal, Scott, Kulka, Ryan, Lavigne, Eric, van Rijswijk, David, Brauer, Michael, Villeneuve, Paul J., Stieb, Dave, Joseph, Lawrence, Burnett, Rick T.
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container_end_page 337
container_issue 3
container_start_page 329
container_title Epidemiology (Cambridge, Mass.)
container_volume 28
creator Weichenthal, Scott
Kulka, Ryan
Lavigne, Eric
van Rijswijk, David
Brauer, Michael
Villeneuve, Paul J.
Stieb, Dave
Joseph, Lawrence
Burnett, Rick T.
description BACKGROUND:Biomass burning is an important source of ambient fine particulate air pollution (PM2.5) in many regions of the world. METHODS:We conducted a time-stratified case-crossover study of ambient PM2.5 and hospital admissions for myocardial infarction (MI) in three regions of British Columbia, Canada. Daily hospital admission data were collected between 2008-2015 and PM2.5 data were collected from fixed-site monitors. We used conditional logistic regression models to estimate odds ratios (ORs) describing the association between PM2.5 and the risk of hospital admission for MI. We used stratified analyses to evaluate effect modification by biomass burning as a source of ambient PM2.5 using the ratio of levoglucosan/PM2.5 mass concentrations. RESULTS:Each 5 µg/m increase in 3-day mean PM2.5 was associated with an increased risk of MI among elderly subjects (≥ 65 years) (OR=1.06, 95% CI1.03, 1.08); risk was not increased among younger subjects. Among the elderly, the strongest association occurred during colder periods (
doi_str_mv 10.1097/ede.0000000000000636
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METHODS:We conducted a time-stratified case-crossover study of ambient PM2.5 and hospital admissions for myocardial infarction (MI) in three regions of British Columbia, Canada. Daily hospital admission data were collected between 2008-2015 and PM2.5 data were collected from fixed-site monitors. We used conditional logistic regression models to estimate odds ratios (ORs) describing the association between PM2.5 and the risk of hospital admission for MI. We used stratified analyses to evaluate effect modification by biomass burning as a source of ambient PM2.5 using the ratio of levoglucosan/PM2.5 mass concentrations. RESULTS:Each 5 µg/m increase in 3-day mean PM2.5 was associated with an increased risk of MI among elderly subjects (≥ 65 years) (OR=1.06, 95% CI1.03, 1.08); risk was not increased among younger subjects. Among the elderly, the strongest association occurred during colder periods (&lt;6.44 C); when we stratified analyses by tertiles of monthly mean biomass contributions to PM2.5 during cold periods, ORs of 1.19 (95%1.04, 1.36), 1.08 (95% CI1.06, 1.09), and 1.04 (95% CI1.03, 1.06) were observed in the upper, middle, and lower tertiles (ptrend=0.003), respectively. CONCLUSION:Short-term changes in ambient PM2.5 were associated with an increased risk of MI among elderly subjects. During cold periods, increased biomass burning contributions to PM2.5 may modify its association with MI.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.</description><identifier>ISSN: 1044-3983</identifier><identifier>EISSN: 1531-5487</identifier><identifier>DOI: 10.1097/ede.0000000000000636</identifier><identifier>PMID: 28177951</identifier><language>eng</language><publisher>United States: Wolters Kluwer Health, Inc</publisher><subject>Aged ; Air Pollution ; Air Pollution - analysis ; Air Pollution - statistics &amp; numerical data ; Biomass ; British Columbia - epidemiology ; Case-Control Studies ; Female ; Glucose - analogs &amp; derivatives ; Glucose - analysis ; Humans ; Linear Models ; Logistic Models ; Male ; Middle Aged ; Myocardial Infarction - epidemiology ; Odds Ratio ; Particulate Matter - analysis ; Particulate Matter - chemistry ; Risk Factors</subject><ispartof>Epidemiology (Cambridge, Mass.), 2017-05, Vol.28 (3), p.329-337</ispartof><rights>Copyright © 2017 The Author(s)</rights><rights>Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.</rights><rights>Copyright © 2017 The Author(s). Published by Wolters Kluwer Health, Inc. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5456-6abf62843c60d394e1a3d94fe67c8cb5134cbc8d31040c1a4fd7945778d6410f3</citedby><cites>FETCH-LOGICAL-c5456-6abf62843c60d394e1a3d94fe67c8cb5134cbc8d31040c1a4fd7945778d6410f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26512245$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26512245$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,776,780,799,881,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28177951$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Weichenthal, Scott</creatorcontrib><creatorcontrib>Kulka, Ryan</creatorcontrib><creatorcontrib>Lavigne, Eric</creatorcontrib><creatorcontrib>van Rijswijk, David</creatorcontrib><creatorcontrib>Brauer, Michael</creatorcontrib><creatorcontrib>Villeneuve, Paul J.</creatorcontrib><creatorcontrib>Stieb, Dave</creatorcontrib><creatorcontrib>Joseph, Lawrence</creatorcontrib><creatorcontrib>Burnett, Rick T.</creatorcontrib><title>Biomass Burning as a Source of Ambient Fine Particulate Air Pollution and Acute Myocardial Infarction</title><title>Epidemiology (Cambridge, Mass.)</title><addtitle>Epidemiology</addtitle><description>BACKGROUND:Biomass burning is an important source of ambient fine particulate air pollution (PM2.5) in many regions of the world. METHODS:We conducted a time-stratified case-crossover study of ambient PM2.5 and hospital admissions for myocardial infarction (MI) in three regions of British Columbia, Canada. Daily hospital admission data were collected between 2008-2015 and PM2.5 data were collected from fixed-site monitors. We used conditional logistic regression models to estimate odds ratios (ORs) describing the association between PM2.5 and the risk of hospital admission for MI. We used stratified analyses to evaluate effect modification by biomass burning as a source of ambient PM2.5 using the ratio of levoglucosan/PM2.5 mass concentrations. RESULTS:Each 5 µg/m increase in 3-day mean PM2.5 was associated with an increased risk of MI among elderly subjects (≥ 65 years) (OR=1.06, 95% CI1.03, 1.08); risk was not increased among younger subjects. Among the elderly, the strongest association occurred during colder periods (&lt;6.44 C); when we stratified analyses by tertiles of monthly mean biomass contributions to PM2.5 during cold periods, ORs of 1.19 (95%1.04, 1.36), 1.08 (95% CI1.06, 1.09), and 1.04 (95% CI1.03, 1.06) were observed in the upper, middle, and lower tertiles (ptrend=0.003), respectively. CONCLUSION:Short-term changes in ambient PM2.5 were associated with an increased risk of MI among elderly subjects. During cold periods, increased biomass burning contributions to PM2.5 may modify its association with MI.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.</description><subject>Aged</subject><subject>Air Pollution</subject><subject>Air Pollution - analysis</subject><subject>Air Pollution - statistics &amp; numerical data</subject><subject>Biomass</subject><subject>British Columbia - epidemiology</subject><subject>Case-Control Studies</subject><subject>Female</subject><subject>Glucose - analogs &amp; derivatives</subject><subject>Glucose - analysis</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Myocardial Infarction - epidemiology</subject><subject>Odds Ratio</subject><subject>Particulate Matter - analysis</subject><subject>Particulate Matter - chemistry</subject><subject>Risk Factors</subject><issn>1044-3983</issn><issn>1531-5487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU9vFSEUxYnR2PbpN1DD0s1UGP5vTF7rqzapsYm6JgwwfVQGKgw2_fad5tVa3cgGwj3ndy8cAF5hdIiREu-884fo8eKEPwH7mBHcMSrF0-WMKO2IkmQPHNR6iRAWBLPnYK-XWAjF8D7wRyFPplZ41EoK6QKaCg38mluxHuYRrqch-DTDk5A8PDdlDrZFM3u4DgWe5xjbHHKCJjm4tm25_3yTrSkumAhP02iKvau_AM9GE6t_eb-vwPeTzbfjT93Zl4-nx-uzzjLKeMfNMPJeUmI5ckRRjw1xio6eCyvtwDChdrDSkeVhyGJDRycUZUJIxylGI1mB9zvuVRsm7-wyeTFRX5UwmXKjswn670oKW32Rf2lGpGKKLIC394CSfzZfZz2Fan2MJvncqsaSc656vPzyCtCd1JZca_HjQxuM9F1CevNho_9NaLG9eTzig-l3JItA7gTXOc6-1B-xXfuit97Eefs_9uud9bLOufxBc4b7njJyC3OOp5k</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Weichenthal, Scott</creator><creator>Kulka, Ryan</creator><creator>Lavigne, Eric</creator><creator>van Rijswijk, David</creator><creator>Brauer, Michael</creator><creator>Villeneuve, Paul J.</creator><creator>Stieb, Dave</creator><creator>Joseph, Lawrence</creator><creator>Burnett, Rick T.</creator><general>Wolters Kluwer Health, Inc</general><general>Copyright Wolters Kluwer Health, Inc. 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METHODS:We conducted a time-stratified case-crossover study of ambient PM2.5 and hospital admissions for myocardial infarction (MI) in three regions of British Columbia, Canada. Daily hospital admission data were collected between 2008-2015 and PM2.5 data were collected from fixed-site monitors. We used conditional logistic regression models to estimate odds ratios (ORs) describing the association between PM2.5 and the risk of hospital admission for MI. We used stratified analyses to evaluate effect modification by biomass burning as a source of ambient PM2.5 using the ratio of levoglucosan/PM2.5 mass concentrations. RESULTS:Each 5 µg/m increase in 3-day mean PM2.5 was associated with an increased risk of MI among elderly subjects (≥ 65 years) (OR=1.06, 95% CI1.03, 1.08); risk was not increased among younger subjects. Among the elderly, the strongest association occurred during colder periods (&lt;6.44 C); when we stratified analyses by tertiles of monthly mean biomass contributions to PM2.5 during cold periods, ORs of 1.19 (95%1.04, 1.36), 1.08 (95% CI1.06, 1.09), and 1.04 (95% CI1.03, 1.06) were observed in the upper, middle, and lower tertiles (ptrend=0.003), respectively. CONCLUSION:Short-term changes in ambient PM2.5 were associated with an increased risk of MI among elderly subjects. During cold periods, increased biomass burning contributions to PM2.5 may modify its association with MI.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.</abstract><cop>United States</cop><pub>Wolters Kluwer Health, Inc</pub><pmid>28177951</pmid><doi>10.1097/ede.0000000000000636</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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source JSTOR Archive Collection A-Z Listing; Journals@Ovid Ovid Autoload; MEDLINE
subjects Aged
Air Pollution
Air Pollution - analysis
Air Pollution - statistics & numerical data
Biomass
British Columbia - epidemiology
Case-Control Studies
Female
Glucose - analogs & derivatives
Glucose - analysis
Humans
Linear Models
Logistic Models
Male
Middle Aged
Myocardial Infarction - epidemiology
Odds Ratio
Particulate Matter - analysis
Particulate Matter - chemistry
Risk Factors
title Biomass Burning as a Source of Ambient Fine Particulate Air Pollution and Acute Myocardial Infarction
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