Fine particulate air pollution, nitrogen dioxide, and systemic autoimmune rheumatic disease in Calgary, Alberta
To estimate the association between fine particulate (PM2.5) and nitrogen dioxide (NO2) pollution and systemic autoimmune rheumatic diseases (SARDs). Associations between ambient air pollution (PM2.5 and NO2) and SARDs were assessed using land-use regression models for Calgary, Alberta and administr...
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| Veröffentlicht in: | Environmental research 2015-07, Vol.140, p.474-478 |
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| creator | Bernatsky, Sasha Smargiassi, Audrey Johnson, Markey Kaplan, Gilaad G. Barnabe, Cheryl Svenson, Larry Brand, Allan Bertazzon, Stefania Hudson, Marie Clarke, Ann E. Fortin, Paul R. Edworthy, Steven Bélisle, Patrick Joseph, Lawrence |
| description | To estimate the association between fine particulate (PM2.5) and nitrogen dioxide (NO2) pollution and systemic autoimmune rheumatic diseases (SARDs).
Associations between ambient air pollution (PM2.5 and NO2) and SARDs were assessed using land-use regression models for Calgary, Alberta and administrative health data (1993–2007). SARD case definitions were based on ≥2 physician claims, or ≥1 rheumatology billing code; or ≥1 hospitalization code (for systemic lupus, Sjogren's Syndrome, scleroderma, polymyositis, dermatomyositis, or undifferentiated connective tissue disease). Bayesian hierarchical latent class regression models estimated the probability that each resident was a SARD case, based on these case definitions. The sum of individual level probabilities provided the estimated number of cases in each area. The latent class model included terms for age, sex, and an interaction term between age and sex. Bayesian logistic regression models were used to generate adjusted odds ratios (OR) for NO2 and PM2.5. pollutant models, adjusting for neighbourhood income, age, sex, and an interaction between age and sex. We also examined models stratified for First-Nations (FN) and non-FN subgroups.
Residents that were female and/or aged >45 had a greater probability of being a SARD case, with the highest OR estimates for older females. Independently, the odds of being a SARDs case increased with PM2.5 levels, but the results were inconclusive for NO2. The results stratified by FN and non-FN groups were not distinctly different.
In this urban Canadian sample, adjusting for demographics, exposure to PM2.5 was associated with an increased risk of SARDs. The results for NO2 were inconclusive.
•We assessed ambient NO2, PM2.5 and systemic autoimmune rheumatic disease (SARD).•We used land use regression models in an urban Canadian sample.•Adjusting for demographics, PM2.5 was independently associated with SARDs.•The results were inconclusive for NO2. |
| doi_str_mv | 10.1016/j.envres.2015.05.007 |
| format | Article |
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Associations between ambient air pollution (PM2.5 and NO2) and SARDs were assessed using land-use regression models for Calgary, Alberta and administrative health data (1993–2007). SARD case definitions were based on ≥2 physician claims, or ≥1 rheumatology billing code; or ≥1 hospitalization code (for systemic lupus, Sjogren's Syndrome, scleroderma, polymyositis, dermatomyositis, or undifferentiated connective tissue disease). Bayesian hierarchical latent class regression models estimated the probability that each resident was a SARD case, based on these case definitions. The sum of individual level probabilities provided the estimated number of cases in each area. The latent class model included terms for age, sex, and an interaction term between age and sex. Bayesian logistic regression models were used to generate adjusted odds ratios (OR) for NO2 and PM2.5. pollutant models, adjusting for neighbourhood income, age, sex, and an interaction between age and sex. We also examined models stratified for First-Nations (FN) and non-FN subgroups.
Residents that were female and/or aged >45 had a greater probability of being a SARD case, with the highest OR estimates for older females. Independently, the odds of being a SARDs case increased with PM2.5 levels, but the results were inconclusive for NO2. The results stratified by FN and non-FN groups were not distinctly different.
In this urban Canadian sample, adjusting for demographics, exposure to PM2.5 was associated with an increased risk of SARDs. The results for NO2 were inconclusive.
•We assessed ambient NO2, PM2.5 and systemic autoimmune rheumatic disease (SARD).•We used land use regression models in an urban Canadian sample.•Adjusting for demographics, PM2.5 was independently associated with SARDs.•The results were inconclusive for NO2.</description><identifier>ISSN: 0013-9351</identifier><identifier>EISSN: 1096-0953</identifier><identifier>DOI: 10.1016/j.envres.2015.05.007</identifier><identifier>PMID: 25988990</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adjustment ; Age ; Air pollution ; Alberta ; Autoimmune Diseases - chemically induced ; demographic statistics ; dermatomyositis ; Estimates ; Female ; females ; First Nations ; Humans ; income ; land use ; Male ; Middle Aged ; Nitrogen dioxide ; Nitrogen Dioxide - toxicity ; odds ratio ; Particulate Matter - toxicity ; particulates ; pollutants ; polymyositis ; Regression ; regression analysis ; Rheumatic Diseases - chemically induced ; risk ; Sex ; Systemic autoimmune rheumatic diseases</subject><ispartof>Environmental research, 2015-07, Vol.140, p.474-478</ispartof><rights>2015 Elsevier Inc.</rights><rights>Copyright © 2015 Elsevier Inc. All rights reserved.</rights><rights>2015 Published by Elsevier Inc. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c562t-38cbe50af91af06fdf44441f71162e79cab5550511bb1d5a40075100e75cf3bc3</citedby><cites>FETCH-LOGICAL-c562t-38cbe50af91af06fdf44441f71162e79cab5550511bb1d5a40075100e75cf3bc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S001393511500153X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25988990$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bernatsky, Sasha</creatorcontrib><creatorcontrib>Smargiassi, Audrey</creatorcontrib><creatorcontrib>Johnson, Markey</creatorcontrib><creatorcontrib>Kaplan, Gilaad G.</creatorcontrib><creatorcontrib>Barnabe, Cheryl</creatorcontrib><creatorcontrib>Svenson, Larry</creatorcontrib><creatorcontrib>Brand, Allan</creatorcontrib><creatorcontrib>Bertazzon, Stefania</creatorcontrib><creatorcontrib>Hudson, Marie</creatorcontrib><creatorcontrib>Clarke, Ann E.</creatorcontrib><creatorcontrib>Fortin, Paul R.</creatorcontrib><creatorcontrib>Edworthy, Steven</creatorcontrib><creatorcontrib>Bélisle, Patrick</creatorcontrib><creatorcontrib>Joseph, Lawrence</creatorcontrib><title>Fine particulate air pollution, nitrogen dioxide, and systemic autoimmune rheumatic disease in Calgary, Alberta</title><title>Environmental research</title><addtitle>Environ Res</addtitle><description>To estimate the association between fine particulate (PM2.5) and nitrogen dioxide (NO2) pollution and systemic autoimmune rheumatic diseases (SARDs).
Associations between ambient air pollution (PM2.5 and NO2) and SARDs were assessed using land-use regression models for Calgary, Alberta and administrative health data (1993–2007). SARD case definitions were based on ≥2 physician claims, or ≥1 rheumatology billing code; or ≥1 hospitalization code (for systemic lupus, Sjogren's Syndrome, scleroderma, polymyositis, dermatomyositis, or undifferentiated connective tissue disease). Bayesian hierarchical latent class regression models estimated the probability that each resident was a SARD case, based on these case definitions. The sum of individual level probabilities provided the estimated number of cases in each area. The latent class model included terms for age, sex, and an interaction term between age and sex. Bayesian logistic regression models were used to generate adjusted odds ratios (OR) for NO2 and PM2.5. pollutant models, adjusting for neighbourhood income, age, sex, and an interaction between age and sex. We also examined models stratified for First-Nations (FN) and non-FN subgroups.
Residents that were female and/or aged >45 had a greater probability of being a SARD case, with the highest OR estimates for older females. Independently, the odds of being a SARDs case increased with PM2.5 levels, but the results were inconclusive for NO2. The results stratified by FN and non-FN groups were not distinctly different.
In this urban Canadian sample, adjusting for demographics, exposure to PM2.5 was associated with an increased risk of SARDs. The results for NO2 were inconclusive.
•We assessed ambient NO2, PM2.5 and systemic autoimmune rheumatic disease (SARD).•We used land use regression models in an urban Canadian sample.•Adjusting for demographics, PM2.5 was independently associated with SARDs.•The results were inconclusive for NO2.</description><subject>Adjustment</subject><subject>Age</subject><subject>Air pollution</subject><subject>Alberta</subject><subject>Autoimmune Diseases - chemically induced</subject><subject>demographic statistics</subject><subject>dermatomyositis</subject><subject>Estimates</subject><subject>Female</subject><subject>females</subject><subject>First Nations</subject><subject>Humans</subject><subject>income</subject><subject>land use</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Nitrogen dioxide</subject><subject>Nitrogen Dioxide - toxicity</subject><subject>odds ratio</subject><subject>Particulate Matter - toxicity</subject><subject>particulates</subject><subject>pollutants</subject><subject>polymyositis</subject><subject>Regression</subject><subject>regression analysis</subject><subject>Rheumatic Diseases - chemically induced</subject><subject>risk</subject><subject>Sex</subject><subject>Systemic autoimmune rheumatic diseases</subject><issn>0013-9351</issn><issn>1096-0953</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNUk2LFDEQDaK44-o_EMnRw_RY1Z30x0VYBleFBS96Dul09WyG7mRM0sPuvzfDrKte1KKgCHn16usx9hphg4D1u_2G3DFQ3JSAcgPZoXnCVghdXUAnq6dsBYBV0VUSL9iLGPf5ibKC5-yilF3bdh2smL-2jvhBh2TNMulEXNvAD36almS9W3NnU_A7cnyw_s4OtObaDTzex0SzNVwvydt5XjJJuKVl1pknQyPpSNw6vtXTTof7Nb-aegpJv2TPRj1FevUQL9m36w9ft5-Kmy8fP2-vbgoj6zIVVWt6kqDHDvUI9TiMIhuODWJdUtMZ3UspQSL2PQ5Sizy8RABqpBmr3lSX7P2Z97D0Mw2GXAp6Uodg59yO8tqqP3-cvVU7f1RCdGUrRCZ4-0AQ_PeFYlKzjYamSTvyS1QlAJSiqUX5Tyg2TQsVtC3-B1TU-TJCNBkqzlATfIyBxsfmEdRJAWqvzgpQJwUoyA6ntDe_D_6Y9PPkvzZDef1HS0FFY8kZGmwgk9Tg7d8r_ADifcXg</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Bernatsky, Sasha</creator><creator>Smargiassi, Audrey</creator><creator>Johnson, Markey</creator><creator>Kaplan, Gilaad G.</creator><creator>Barnabe, Cheryl</creator><creator>Svenson, Larry</creator><creator>Brand, Allan</creator><creator>Bertazzon, Stefania</creator><creator>Hudson, Marie</creator><creator>Clarke, Ann E.</creator><creator>Fortin, Paul R.</creator><creator>Edworthy, Steven</creator><creator>Bélisle, Patrick</creator><creator>Joseph, Lawrence</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7TV</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>KL.</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20150701</creationdate><title>Fine particulate air pollution, nitrogen dioxide, and systemic autoimmune rheumatic disease in Calgary, Alberta</title><author>Bernatsky, Sasha ; 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Associations between ambient air pollution (PM2.5 and NO2) and SARDs were assessed using land-use regression models for Calgary, Alberta and administrative health data (1993–2007). SARD case definitions were based on ≥2 physician claims, or ≥1 rheumatology billing code; or ≥1 hospitalization code (for systemic lupus, Sjogren's Syndrome, scleroderma, polymyositis, dermatomyositis, or undifferentiated connective tissue disease). Bayesian hierarchical latent class regression models estimated the probability that each resident was a SARD case, based on these case definitions. The sum of individual level probabilities provided the estimated number of cases in each area. The latent class model included terms for age, sex, and an interaction term between age and sex. Bayesian logistic regression models were used to generate adjusted odds ratios (OR) for NO2 and PM2.5. pollutant models, adjusting for neighbourhood income, age, sex, and an interaction between age and sex. We also examined models stratified for First-Nations (FN) and non-FN subgroups.
Residents that were female and/or aged >45 had a greater probability of being a SARD case, with the highest OR estimates for older females. Independently, the odds of being a SARDs case increased with PM2.5 levels, but the results were inconclusive for NO2. The results stratified by FN and non-FN groups were not distinctly different.
In this urban Canadian sample, adjusting for demographics, exposure to PM2.5 was associated with an increased risk of SARDs. The results for NO2 were inconclusive.
•We assessed ambient NO2, PM2.5 and systemic autoimmune rheumatic disease (SARD).•We used land use regression models in an urban Canadian sample.•Adjusting for demographics, PM2.5 was independently associated with SARDs.•The results were inconclusive for NO2.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>25988990</pmid><doi>10.1016/j.envres.2015.05.007</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Adjustment Age Air pollution Alberta Autoimmune Diseases - chemically induced demographic statistics dermatomyositis Estimates Female females First Nations Humans income land use Male Middle Aged Nitrogen dioxide Nitrogen Dioxide - toxicity odds ratio Particulate Matter - toxicity particulates pollutants polymyositis Regression regression analysis Rheumatic Diseases - chemically induced risk Sex Systemic autoimmune rheumatic diseases |
| title | Fine particulate air pollution, nitrogen dioxide, and systemic autoimmune rheumatic disease in Calgary, Alberta |
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