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Long-Term Exposure to Low-Level NO2 and Mortality among the Elderly Population in the Southeastern United States
Background: Mounting evidence has shown that long-term exposure to fine particulate matter [PM ≤2.5μm in aerodynamic diameter (PM2.5 )] and ozone (O3 ) can increase mortality. However, the health effects associated with long-term exposure to nitrogen dioxide (NO2 ) are less clear, in particular the...
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Published in: | Environmental health perspectives 2021-12, Vol.129 (12) |
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description | Background: Mounting evidence has shown that long-term exposure to fine particulate matter [PM ≤2.5μm in aerodynamic diameter (PM2.5 )] and ozone (O3 ) can increase mortality. However, the health effects associated with long-term exposure to nitrogen dioxide (NO2 ) are less clear, in particular the evidence is scarce for NO2 at low levels that are below the current international guidelines. Methods: We constructed a population-based full cohort comprising all Medicare beneficiaries (aged ≥65 , N=13,590,387 ) in the southeastern United States from 2000 to 2016, and we then further defined the below-guideline cohort that included only those who were always exposed to low-level NO2 , that is, with annual means below the current World Health Organization guidelines (i.e., ≤21 ppb ). We applied previously estimated spatially and temporally resolved NO2 concentrations and assigned annual means to study participants based on their ZIP code of residence. Cox proportional hazards models were used to examine the association between long-term exposure to low-level NO2 and all-cause mortality, adjusting for potential confounders. Results: About 71.1% of the Medicare beneficiaries in the southeastern United States were always exposed to low-level NO2 over the study period. We observed an association between long-term exposure to low-level NO2 and all-cause mortality, with a hazard ratio (HR)= 1.042 (95% CI: 1.040, 1.045) in single-pollutant models and a HR= 1.047 (95% CI: 1.045, 1.049) in multipollutant models (adjusting for PM2.5 and O3 ), per 10-ppb increase in annual NO2 concentrations. The penalized spline indicates a linear exposure–response relationship across the entire NO2 exposure range. Medicare enrollees who were White, female, and residing in urban areas were more vulnerable to long-term NO2 exposure. Conclusion: Using a large and representative cohort, we provide epidemiological evidence that long-term exposure to NO2 , even below the national and global ambient air quality guidelines, was approximately linearly associated with a higher risk of mortality among older adults, independent of PM2.5 and O3 exposure. Improving air quality by reducing NO2 emissions, therefore, may yield significant health benefits. |
doi_str_mv | 10.1289/EHP9044 |
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However, the health effects associated with long-term exposure to nitrogen dioxide (NO2 ) are less clear, in particular the evidence is scarce for NO2 at low levels that are below the current international guidelines. Methods: We constructed a population-based full cohort comprising all Medicare beneficiaries (aged ≥65 , N=13,590,387 ) in the southeastern United States from 2000 to 2016, and we then further defined the below-guideline cohort that included only those who were always exposed to low-level NO2 , that is, with annual means below the current World Health Organization guidelines (i.e., ≤21 ppb ). We applied previously estimated spatially and temporally resolved NO2 concentrations and assigned annual means to study participants based on their ZIP code of residence. Cox proportional hazards models were used to examine the association between long-term exposure to low-level NO2 and all-cause mortality, adjusting for potential confounders. Results: About 71.1% of the Medicare beneficiaries in the southeastern United States were always exposed to low-level NO2 over the study period. We observed an association between long-term exposure to low-level NO2 and all-cause mortality, with a hazard ratio (HR)= 1.042 (95% CI: 1.040, 1.045) in single-pollutant models and a HR= 1.047 (95% CI: 1.045, 1.049) in multipollutant models (adjusting for PM2.5 and O3 ), per 10-ppb increase in annual NO2 concentrations. The penalized spline indicates a linear exposure–response relationship across the entire NO2 exposure range. Medicare enrollees who were White, female, and residing in urban areas were more vulnerable to long-term NO2 exposure. Conclusion: Using a large and representative cohort, we provide epidemiological evidence that long-term exposure to NO2 , even below the national and global ambient air quality guidelines, was approximately linearly associated with a higher risk of mortality among older adults, independent of PM2.5 and O3 exposure. Improving air quality by reducing NO2 emissions, therefore, may yield significant health benefits.</description><identifier>ISSN: 0091-6765</identifier><identifier>EISSN: 1552-9924</identifier><identifier>DOI: 10.1289/EHP9044</identifier><identifier>PMID: 34962424</identifier><language>eng</language><publisher>Research Triangle Park: National Institute of Environmental Health Sciences</publisher><subject>Air pollution ; Air quality ; Algorithms ; Beneficiaries ; Censuses ; Cohort analysis ; Emissions ; Epidemiology ; Exposure ; Government programs ; Guidelines ; Industrial plant emissions ; Machine learning ; Medicaid ; Medicare ; Mortality ; Mortality risk ; Neural networks ; Nitrogen dioxide ; Older people ; Outdoor air quality ; Particulate emissions ; Particulate matter ; Pollutants ; Population ; Postal codes ; Premature mortality ; Public health ; Remote sensing ; Statistical models ; Urban areas</subject><ispartof>Environmental health perspectives, 2021-12, Vol.129 (12)</ispartof><rights>Reproduced from Environmental Health Perspectives. This article is published under https://ehp.niehs.nih.gov/about-ehp/copyright-permissions (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-cb12a8558f89daf6986204a54ca80a468771caad03973670dbc7328338d37433</citedby><cites>FETCH-LOGICAL-c440t-cb12a8558f89daf6986204a54ca80a468771caad03973670dbc7328338d37433</cites><orcidid>0000-0001-5296-9225 ; 0000-0001-7311-2298 ; 0000-0001-8733-8749 ; 0000-0001-7280-9720 ; 0000-0001-6168-378X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2624988386/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2624988386?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,11688,25753,27924,27925,36060,37012,44363,44590,53791,53793,74895,75126</link.rule.ids></links><search><creatorcontrib>Qian, Yaoyao</creatorcontrib><creatorcontrib>Li, Haomin</creatorcontrib><creatorcontrib>Rosenberg, Andrew</creatorcontrib><creatorcontrib>Li, Qiulun</creatorcontrib><creatorcontrib>Sarnat, Jeremy</creatorcontrib><creatorcontrib>Papatheodorou, Stefania</creatorcontrib><creatorcontrib>Schwartz, Joel</creatorcontrib><creatorcontrib>Liang, Donghai</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Liu, Pengfei</creatorcontrib><creatorcontrib>Shi, Liuhua</creatorcontrib><title>Long-Term Exposure to Low-Level NO2 and Mortality among the Elderly Population in the Southeastern United States</title><title>Environmental health perspectives</title><description>Background: Mounting evidence has shown that long-term exposure to fine particulate matter [PM ≤2.5μm in aerodynamic diameter (PM2.5 )] and ozone (O3 ) can increase mortality. However, the health effects associated with long-term exposure to nitrogen dioxide (NO2 ) are less clear, in particular the evidence is scarce for NO2 at low levels that are below the current international guidelines. Methods: We constructed a population-based full cohort comprising all Medicare beneficiaries (aged ≥65 , N=13,590,387 ) in the southeastern United States from 2000 to 2016, and we then further defined the below-guideline cohort that included only those who were always exposed to low-level NO2 , that is, with annual means below the current World Health Organization guidelines (i.e., ≤21 ppb ). We applied previously estimated spatially and temporally resolved NO2 concentrations and assigned annual means to study participants based on their ZIP code of residence. Cox proportional hazards models were used to examine the association between long-term exposure to low-level NO2 and all-cause mortality, adjusting for potential confounders. Results: About 71.1% of the Medicare beneficiaries in the southeastern United States were always exposed to low-level NO2 over the study period. We observed an association between long-term exposure to low-level NO2 and all-cause mortality, with a hazard ratio (HR)= 1.042 (95% CI: 1.040, 1.045) in single-pollutant models and a HR= 1.047 (95% CI: 1.045, 1.049) in multipollutant models (adjusting for PM2.5 and O3 ), per 10-ppb increase in annual NO2 concentrations. The penalized spline indicates a linear exposure–response relationship across the entire NO2 exposure range. Medicare enrollees who were White, female, and residing in urban areas were more vulnerable to long-term NO2 exposure. Conclusion: Using a large and representative cohort, we provide epidemiological evidence that long-term exposure to NO2 , even below the national and global ambient air quality guidelines, was approximately linearly associated with a higher risk of mortality among older adults, independent of PM2.5 and O3 exposure. Improving air quality by reducing NO2 emissions, therefore, may yield significant health benefits.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Algorithms</subject><subject>Beneficiaries</subject><subject>Censuses</subject><subject>Cohort analysis</subject><subject>Emissions</subject><subject>Epidemiology</subject><subject>Exposure</subject><subject>Government programs</subject><subject>Guidelines</subject><subject>Industrial plant emissions</subject><subject>Machine learning</subject><subject>Medicaid</subject><subject>Medicare</subject><subject>Mortality</subject><subject>Mortality risk</subject><subject>Neural networks</subject><subject>Nitrogen dioxide</subject><subject>Older people</subject><subject>Outdoor air quality</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Pollutants</subject><subject>Population</subject><subject>Postal codes</subject><subject>Premature 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Exposure to Low-Level NO2 and Mortality among the Elderly Population in the Southeastern United States</title><author>Qian, Yaoyao ; Li, Haomin ; Rosenberg, Andrew ; Li, Qiulun ; Sarnat, Jeremy ; Papatheodorou, Stefania ; Schwartz, Joel ; Liang, Donghai ; Liu, Yang ; Liu, Pengfei ; Shi, Liuhua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-cb12a8558f89daf6986204a54ca80a468771caad03973670dbc7328338d37433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air pollution</topic><topic>Air quality</topic><topic>Algorithms</topic><topic>Beneficiaries</topic><topic>Censuses</topic><topic>Cohort analysis</topic><topic>Emissions</topic><topic>Epidemiology</topic><topic>Exposure</topic><topic>Government programs</topic><topic>Guidelines</topic><topic>Industrial plant emissions</topic><topic>Machine learning</topic><topic>Medicaid</topic><topic>Medicare</topic><topic>Mortality</topic><topic>Mortality risk</topic><topic>Neural networks</topic><topic>Nitrogen dioxide</topic><topic>Older people</topic><topic>Outdoor air quality</topic><topic>Particulate emissions</topic><topic>Particulate matter</topic><topic>Pollutants</topic><topic>Population</topic><topic>Postal codes</topic><topic>Premature mortality</topic><topic>Public health</topic><topic>Remote sensing</topic><topic>Statistical models</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qian, Yaoyao</creatorcontrib><creatorcontrib>Li, Haomin</creatorcontrib><creatorcontrib>Rosenberg, Andrew</creatorcontrib><creatorcontrib>Li, Qiulun</creatorcontrib><creatorcontrib>Sarnat, Jeremy</creatorcontrib><creatorcontrib>Papatheodorou, Stefania</creatorcontrib><creatorcontrib>Schwartz, Joel</creatorcontrib><creatorcontrib>Liang, 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perspectives</jtitle><date>2021-12-01</date><risdate>2021</risdate><volume>129</volume><issue>12</issue><issn>0091-6765</issn><eissn>1552-9924</eissn><abstract>Background: Mounting evidence has shown that long-term exposure to fine particulate matter [PM ≤2.5μm in aerodynamic diameter (PM2.5 )] and ozone (O3 ) can increase mortality. However, the health effects associated with long-term exposure to nitrogen dioxide (NO2 ) are less clear, in particular the evidence is scarce for NO2 at low levels that are below the current international guidelines. Methods: We constructed a population-based full cohort comprising all Medicare beneficiaries (aged ≥65 , N=13,590,387 ) in the southeastern United States from 2000 to 2016, and we then further defined the below-guideline cohort that included only those who were always exposed to low-level NO2 , that is, with annual means below the current World Health Organization guidelines (i.e., ≤21 ppb ). We applied previously estimated spatially and temporally resolved NO2 concentrations and assigned annual means to study participants based on their ZIP code of residence. Cox proportional hazards models were used to examine the association between long-term exposure to low-level NO2 and all-cause mortality, adjusting for potential confounders. Results: About 71.1% of the Medicare beneficiaries in the southeastern United States were always exposed to low-level NO2 over the study period. We observed an association between long-term exposure to low-level NO2 and all-cause mortality, with a hazard ratio (HR)= 1.042 (95% CI: 1.040, 1.045) in single-pollutant models and a HR= 1.047 (95% CI: 1.045, 1.049) in multipollutant models (adjusting for PM2.5 and O3 ), per 10-ppb increase in annual NO2 concentrations. The penalized spline indicates a linear exposure–response relationship across the entire NO2 exposure range. Medicare enrollees who were White, female, and residing in urban areas were more vulnerable to long-term NO2 exposure. Conclusion: Using a large and representative cohort, we provide epidemiological evidence that long-term exposure to NO2 , even below the national and global ambient air quality guidelines, was approximately linearly associated with a higher risk of mortality among older adults, independent of PM2.5 and O3 exposure. Improving air quality by reducing NO2 emissions, therefore, may yield significant health benefits.</abstract><cop>Research Triangle Park</cop><pub>National Institute of Environmental Health Sciences</pub><pmid>34962424</pmid><doi>10.1289/EHP9044</doi><orcidid>https://orcid.org/0000-0001-5296-9225</orcidid><orcidid>https://orcid.org/0000-0001-7311-2298</orcidid><orcidid>https://orcid.org/0000-0001-8733-8749</orcidid><orcidid>https://orcid.org/0000-0001-7280-9720</orcidid><orcidid>https://orcid.org/0000-0001-6168-378X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Air pollution Air quality Algorithms Beneficiaries Censuses Cohort analysis Emissions Epidemiology Exposure Government programs Guidelines Industrial plant emissions Machine learning Medicaid Medicare Mortality Mortality risk Neural networks Nitrogen dioxide Older people Outdoor air quality Particulate emissions Particulate matter Pollutants Population Postal codes Premature mortality Public health Remote sensing Statistical models Urban areas |
title | Long-Term Exposure to Low-Level NO2 and Mortality among the Elderly Population in the Southeastern United States |
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