Air Pollution and Glucose Metabolism: An Analysis in Non-Diabetic Participants of the Heinz Nixdorf Recall Study

Despite the importance of understanding the connection between air pollution exposure and diabetes, studies investigating links between air pollution and glucose metabolism in nondiabetic adults are limited. We aimed to estimate the association of medium-term air pollution exposures with blood gluco...

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Veröffentlicht in:Environmental health perspectives 2018-04, Vol.126 (4), p.047001-047001
Hauptverfasser: Lucht, Sarah A, Hennig, Frauke, Matthiessen, Clara, Ohlwein, Simone, Icks, Andrea, Moebus, Susanne, Jöckel, Karl-Heinz, Jakobs, Hermann, Hoffmann, Barbara
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container_end_page 047001
container_issue 4
container_start_page 047001
container_title Environmental health perspectives
container_volume 126
creator Lucht, Sarah A
Hennig, Frauke
Matthiessen, Clara
Ohlwein, Simone
Icks, Andrea
Moebus, Susanne
Jöckel, Karl-Heinz
Jakobs, Hermann
Hoffmann, Barbara
description Despite the importance of understanding the connection between air pollution exposure and diabetes, studies investigating links between air pollution and glucose metabolism in nondiabetic adults are limited. We aimed to estimate the association of medium-term air pollution exposures with blood glucose and glycated hemoglobin A1c (HbA1c) among nondiabetics. This study included observations from nondiabetic participants (n =7,108) of the population-based Heinz Nixdorf Recall study at baseline (2000–2003) and follow-up examination (2006–2008). Daily fine particulate matter (aerodynamic diameter≤2.5 μm, PM ; aerodynamic diameter≤10 μm, PM ), accumulation mode particle number (PN ), and nitrogen dioxide (NO ) exposures were estimated at participants’ residences using the spatiotemporal European Air Pollution Dispersion (EURAD) chemistry transport model. We evaluated the associations between medium-term air pollution exposures (28- and 91-d means) and glucose metabolism measures using mixed linear regression and adjusting for season, meteorology, and personal characteristics. A range of other exposure windows (1-, 2-, 3-, 7-, 14-, 45-, 60-, 75-, 105-, 120-, and 182-d means) were also evaluated to identify potentially relevant biological windows. We observed positive associations between PM and PN exposures and blood glucose levels [e.g., 28-d PM : 0.91 mg/dL (95% CI: 0.38, 1.44) per 5.7 μg/m ]. PM , PM , and PN exposures were positively associated with HbA1c [e.g., 91-d PM : 0.07 p.p. (95% CI: 0.04, 0.10) per 4.0 μg/m ]. Mean exposures during longer exposure windows (75- to 105-d) were most strongly associated with HbA1c, whereas 7- to 45-d exposures were most strongly associated with blood glucose. NO exposure was not associated with blood glucose or with HbA1c. Medium-term PM and PN exposures were positively associated with glucose measures in nondiabetic adults. These findings indicate that reducing ambient air pollution levels may decrease the risk of diabetes. https://doi.org/10.1289/EHP2561.
doi_str_mv 10.1289/EHP2561
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We aimed to estimate the association of medium-term air pollution exposures with blood glucose and glycated hemoglobin A1c (HbA1c) among nondiabetics. This study included observations from nondiabetic participants (n =7,108) of the population-based Heinz Nixdorf Recall study at baseline (2000–2003) and follow-up examination (2006–2008). Daily fine particulate matter (aerodynamic diameter≤2.5 μm, PM ; aerodynamic diameter≤10 μm, PM ), accumulation mode particle number (PN ), and nitrogen dioxide (NO ) exposures were estimated at participants’ residences using the spatiotemporal European Air Pollution Dispersion (EURAD) chemistry transport model. We evaluated the associations between medium-term air pollution exposures (28- and 91-d means) and glucose metabolism measures using mixed linear regression and adjusting for season, meteorology, and personal characteristics. A range of other exposure windows (1-, 2-, 3-, 7-, 14-, 45-, 60-, 75-, 105-, 120-, and 182-d means) were also evaluated to identify potentially relevant biological windows. We observed positive associations between PM and PN exposures and blood glucose levels [e.g., 28-d PM : 0.91 mg/dL (95% CI: 0.38, 1.44) per 5.7 μg/m ]. PM , PM , and PN exposures were positively associated with HbA1c [e.g., 91-d PM : 0.07 p.p. (95% CI: 0.04, 0.10) per 4.0 μg/m ]. Mean exposures during longer exposure windows (75- to 105-d) were most strongly associated with HbA1c, whereas 7- to 45-d exposures were most strongly associated with blood glucose. NO exposure was not associated with blood glucose or with HbA1c. Medium-term PM and PN exposures were positively associated with glucose measures in nondiabetic adults. These findings indicate that reducing ambient air pollution levels may decrease the risk of diabetes. https://doi.org/10.1289/EHP2561.</description><identifier>ISSN: 0091-6765</identifier><identifier>EISSN: 1552-9924</identifier><identifier>DOI: 10.1289/EHP2561</identifier><identifier>PMID: 29616776</identifier><language>eng</language><publisher>United States: National Institute of Environmental Health Sciences</publisher><subject>Adults ; Aged ; Air Pollutants - adverse effects ; Air pollution ; Air Pollution - adverse effects ; Air pollution measurements ; Analysis ; Biological effects ; Blood ; Blood glucose ; Blood Glucose - analysis ; Blood levels ; Care and treatment ; Causes of ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - etiology ; Environmental Exposure - adverse effects ; Environmental risk ; Epidemiology ; Estimates ; Exposure ; Female ; Food and nutrition ; Glucose ; Glucose metabolism ; Glycated Hemoglobin A - metabolism ; Glycosylated hemoglobin ; Health aspects ; Health risks ; Hemoglobin ; Humans ; Inflammation ; Insulin resistance ; Lung cancer ; Male ; Metabolism ; Meteorology ; Middle Aged ; Mortality ; Nitrogen dioxide ; Nitrogen Dioxide - adverse effects ; Noise ; Outdoor air quality ; Particulate emissions ; Particulate matter ; Particulate Matter - adverse effects ; Pollution ; Pollution control ; Pollution dispersion ; Pollution levels ; Recall ; Reference Values ; Regression analysis ; Risk factors ; Risk reduction ; Studies ; Sulfur ; Systematic review ; VOCs ; Volatile organic compounds</subject><ispartof>Environmental health perspectives, 2018-04, Vol.126 (4), p.047001-047001</ispartof><rights>COPYRIGHT 2018 National Institute of Environmental Health Sciences</rights><rights>Copyright National Institute of Environmental Health Sciences Apr 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c601t-f8054699be966443caf3b97a888d6b2badae51b179aca259b9331f7875d0cb543</citedby><cites>FETCH-LOGICAL-c601t-f8054699be966443caf3b97a888d6b2badae51b179aca259b9331f7875d0cb543</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071794/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071794/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29616776$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lucht, Sarah A</creatorcontrib><creatorcontrib>Hennig, Frauke</creatorcontrib><creatorcontrib>Matthiessen, Clara</creatorcontrib><creatorcontrib>Ohlwein, Simone</creatorcontrib><creatorcontrib>Icks, Andrea</creatorcontrib><creatorcontrib>Moebus, Susanne</creatorcontrib><creatorcontrib>Jöckel, Karl-Heinz</creatorcontrib><creatorcontrib>Jakobs, Hermann</creatorcontrib><creatorcontrib>Hoffmann, Barbara</creatorcontrib><title>Air Pollution and Glucose Metabolism: An Analysis in Non-Diabetic Participants of the Heinz Nixdorf Recall Study</title><title>Environmental health perspectives</title><addtitle>Environ Health Perspect</addtitle><description>Despite the importance of understanding the connection between air pollution exposure and diabetes, studies investigating links between air pollution and glucose metabolism in nondiabetic adults are limited. We aimed to estimate the association of medium-term air pollution exposures with blood glucose and glycated hemoglobin A1c (HbA1c) among nondiabetics. This study included observations from nondiabetic participants (n =7,108) of the population-based Heinz Nixdorf Recall study at baseline (2000–2003) and follow-up examination (2006–2008). Daily fine particulate matter (aerodynamic diameter≤2.5 μm, PM ; aerodynamic diameter≤10 μm, PM ), accumulation mode particle number (PN ), and nitrogen dioxide (NO ) exposures were estimated at participants’ residences using the spatiotemporal European Air Pollution Dispersion (EURAD) chemistry transport model. We evaluated the associations between medium-term air pollution exposures (28- and 91-d means) and glucose metabolism measures using mixed linear regression and adjusting for season, meteorology, and personal characteristics. A range of other exposure windows (1-, 2-, 3-, 7-, 14-, 45-, 60-, 75-, 105-, 120-, and 182-d means) were also evaluated to identify potentially relevant biological windows. We observed positive associations between PM and PN exposures and blood glucose levels [e.g., 28-d PM : 0.91 mg/dL (95% CI: 0.38, 1.44) per 5.7 μg/m ]. PM , PM , and PN exposures were positively associated with HbA1c [e.g., 91-d PM : 0.07 p.p. (95% CI: 0.04, 0.10) per 4.0 μg/m ]. Mean exposures during longer exposure windows (75- to 105-d) were most strongly associated with HbA1c, whereas 7- to 45-d exposures were most strongly associated with blood glucose. NO exposure was not associated with blood glucose or with HbA1c. Medium-term PM and PN exposures were positively associated with glucose measures in nondiabetic adults. These findings indicate that reducing ambient air pollution levels may decrease the risk of diabetes. https://doi.org/10.1289/EHP2561.</description><subject>Adults</subject><subject>Aged</subject><subject>Air Pollutants - adverse effects</subject><subject>Air pollution</subject><subject>Air Pollution - adverse effects</subject><subject>Air pollution measurements</subject><subject>Analysis</subject><subject>Biological effects</subject><subject>Blood</subject><subject>Blood glucose</subject><subject>Blood Glucose - analysis</subject><subject>Blood levels</subject><subject>Care and treatment</subject><subject>Causes of</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - etiology</subject><subject>Environmental Exposure - adverse effects</subject><subject>Environmental risk</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Exposure</subject><subject>Female</subject><subject>Food and nutrition</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Glycosylated hemoglobin</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Insulin resistance</subject><subject>Lung cancer</subject><subject>Male</subject><subject>Metabolism</subject><subject>Meteorology</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nitrogen dioxide</subject><subject>Nitrogen Dioxide - adverse effects</subject><subject>Noise</subject><subject>Outdoor air quality</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Particulate Matter - adverse effects</subject><subject>Pollution</subject><subject>Pollution control</subject><subject>Pollution dispersion</subject><subject>Pollution levels</subject><subject>Recall</subject><subject>Reference Values</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Risk reduction</subject><subject>Studies</subject><subject>Sulfur</subject><subject>Systematic review</subject><subject>VOCs</subject><subject>Volatile organic 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Barbara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Air Pollution and Glucose Metabolism: An Analysis in Non-Diabetic Participants of the Heinz Nixdorf Recall Study</atitle><jtitle>Environmental health perspectives</jtitle><addtitle>Environ Health Perspect</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>126</volume><issue>4</issue><spage>047001</spage><epage>047001</epage><pages>047001-047001</pages><issn>0091-6765</issn><eissn>1552-9924</eissn><abstract>Despite the importance of understanding the connection between air pollution exposure and diabetes, studies investigating links between air pollution and glucose metabolism in nondiabetic adults are limited. We aimed to estimate the association of medium-term air pollution exposures with blood glucose and glycated hemoglobin A1c (HbA1c) among nondiabetics. This study included observations from nondiabetic participants (n =7,108) of the population-based Heinz Nixdorf Recall study at baseline (2000–2003) and follow-up examination (2006–2008). Daily fine particulate matter (aerodynamic diameter≤2.5 μm, PM ; aerodynamic diameter≤10 μm, PM ), accumulation mode particle number (PN ), and nitrogen dioxide (NO ) exposures were estimated at participants’ residences using the spatiotemporal European Air Pollution Dispersion (EURAD) chemistry transport model. We evaluated the associations between medium-term air pollution exposures (28- and 91-d means) and glucose metabolism measures using mixed linear regression and adjusting for season, meteorology, and personal characteristics. A range of other exposure windows (1-, 2-, 3-, 7-, 14-, 45-, 60-, 75-, 105-, 120-, and 182-d means) were also evaluated to identify potentially relevant biological windows. We observed positive associations between PM and PN exposures and blood glucose levels [e.g., 28-d PM : 0.91 mg/dL (95% CI: 0.38, 1.44) per 5.7 μg/m ]. PM , PM , and PN exposures were positively associated with HbA1c [e.g., 91-d PM : 0.07 p.p. (95% CI: 0.04, 0.10) per 4.0 μg/m ]. Mean exposures during longer exposure windows (75- to 105-d) were most strongly associated with HbA1c, whereas 7- to 45-d exposures were most strongly associated with blood glucose. NO exposure was not associated with blood glucose or with HbA1c. Medium-term PM and PN exposures were positively associated with glucose measures in nondiabetic adults. These findings indicate that reducing ambient air pollution levels may decrease the risk of diabetes. https://doi.org/10.1289/EHP2561.</abstract><cop>United States</cop><pub>National Institute of Environmental Health Sciences</pub><pmid>29616776</pmid><doi>10.1289/EHP2561</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 0091-6765
ispartof Environmental health perspectives, 2018-04, Vol.126 (4), p.047001-047001
issn 0091-6765
1552-9924
language eng
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source Jstor Complete Legacy; MEDLINE; PMC (PubMed Central); DOAJ Directory of Open Access Journals; EZB*; PubMed Central Open Access
subjects Adults
Aged
Air Pollutants - adverse effects
Air pollution
Air Pollution - adverse effects
Air pollution measurements
Analysis
Biological effects
Blood
Blood glucose
Blood Glucose - analysis
Blood levels
Care and treatment
Causes of
Diabetes
Diabetes mellitus
Diabetes Mellitus - etiology
Environmental Exposure - adverse effects
Environmental risk
Epidemiology
Estimates
Exposure
Female
Food and nutrition
Glucose
Glucose metabolism
Glycated Hemoglobin A - metabolism
Glycosylated hemoglobin
Health aspects
Health risks
Hemoglobin
Humans
Inflammation
Insulin resistance
Lung cancer
Male
Metabolism
Meteorology
Middle Aged
Mortality
Nitrogen dioxide
Nitrogen Dioxide - adverse effects
Noise
Outdoor air quality
Particulate emissions
Particulate matter
Particulate Matter - adverse effects
Pollution
Pollution control
Pollution dispersion
Pollution levels
Recall
Reference Values
Regression analysis
Risk factors
Risk reduction
Studies
Sulfur
Systematic review
VOCs
Volatile organic compounds
title Air Pollution and Glucose Metabolism: An Analysis in Non-Diabetic Participants of the Heinz Nixdorf Recall Study
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