Matthiessen, Clara, Lucht, Sarah, Hennig, Frauke ORCID: 0000-0002-8769-7976, Ohlwein, Simone, Jakobs, Hermann, Joeckel, Karl-Heinz, Moebus, Susanne and Hoffmann, Barbara (2018). Long-term exposure to airborne particulate matter and NO2 and prevalent and incident metabolic syndrome - Results from the Heinz Nixdorf Recall Study. Environ. Int., 116. S. 74 - 83. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD. ISSN 1873-6750

Full text not available from this repository.

Abstract

Introduction: Recently, epidemiological studies have found a link between air pollution (AP) and individual components of the metabolic syndrome (MetS), a condition predisposing to cardiometabolic diseases. However, very few studies have explored a possible association between air pollution and MetS. Objective: We analyzed the effects of long-term exposure to airborne particulate matter and NO2 on prevalence and incidence of MetS. Methods: We used data of the population-based prospective Heinz Nixdorf Recall study (baseline 2000-2003) to investigate the association(s) between AP exposure and MetS prevalence at baseline (n = 4457) and MetS incidence at first follow-up visit (n = 3074; average follow-up: 5.1 years). Mean annual exposure to size-fractioned particulate matter (PM10, PM2.5, PMcoarse, and PM(2.5)abs) and nitrogen dioxide (NO2) was assessed using a land use regression model. MetS was defined as central obesity plus two out of four additional risk factors (i.e., elevated triglycerides, reduced high-density lipoprotein cholesterol, elevated blood pressure or elevated plasma glucose). We estimated odds ratios (ORs) of MetS prevalence and incidence per interquartile range (IQR) of exposure, adjusting for demographic and lifestyle variables. Results: We observed a MetS prevalence of 20.7% (n = 922) and an incidence of 9.7% (n = 299). NO2 was positively associated with MetS prevalence, with an OR increase per IQR of 1.12 (95%-CI 1.02-1.24, IQR = 6.1 mu g/m(3)). PM10 and PM2.5 were both borderline positively associated with MetS incidence, with ORs of 1.14 (95%-CI 0.99-1.32, IQR = 2.1 mu g/m(3)) and 1.19 (95%-CI 0.98-1.44, IQR = 1.5 mu g/m(3)) per IQR, respectively. Conclusion: In summary, we found a weak positive association between air pollution and MetS. The strongest and most consistent effects were observed between NO2 and prevalent MetS.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Matthiessen, ClaraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lucht, SarahUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hennig, FraukeUNSPECIFIEDorcid.org/0000-0002-8769-7976UNSPECIFIED
Ohlwein, SimoneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jakobs, HermannUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Joeckel, Karl-HeinzUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Moebus, SusanneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hoffmann, BarbaraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-182403
DOI: 10.1016/j.envint.2018.02.035
Journal or Publication Title: Environ. Int.
Volume: 116
Page Range: S. 74 - 83
Date: 2018
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Place of Publication: OXFORD
ISSN: 1873-6750
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
ROAD TRAFFIC NOISE; TYPE-2 DIABETES-MELLITUS; AIR-POLLUTION EXPOSURE; USE REGRESSION-MODELS; INSULIN-RESISTANCE; BLOOD-PRESSURE; RISK; INFLAMMATION; ASSOCIATION; DISEASEMultiple languages
Environmental SciencesMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/18240

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item