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Zhang, S. ; Mwiberi, S. ; Pickford, R. ; Breitner, S. ; Huth, C. ; Koenig, W.* ; Rathmann, W.* ; Herder, C.* ; Roden, M.* ; Cyrys, J. ; Peters, A. ; Wolf, K. ; Schneider, A.E.

Longitudinal associations between ambient air pollution and insulin sensitivity: Results from the KORA cohort study.

Lancet Planet Health. 5, E39-E49 (2021)
Verlagsversion Forschungsdaten DOI
Open Access Gold
Creative Commons Lizenzvertrag
Background Impaired insulin sensitivity could be an intermediate step that links exposure to air pollution to the development of type 2 diabetes. However, longitudinal associations of air pollution with insulin sensitivity remain unclear. Our study investigated the associations of long-term air pollution exposure with the degree and rate of change of insulin sensitivity.Methods In this longitudinal study, we analysed data from the Cooperative Health Research in the Region of Augsburg (KORA) cohort from Augsburg, Germany, which recruited participants aged 25-74 years in the survey between 1999 and 2001 (KORA S4), with two follow-up examinations in 2006-08 (KORA F4) and 2013-14 (KORA FF4). Serum concentrations of fasting insulin and glucose, and homoeostasis model assessment of insulin resistance (HOMA-IR, a surrogate measure of insulin sensitivity) and beta-cell function (HOMA-B, a surrogate marker for fasting insulin secretion) were assessed at up to three visits between 1999 and 2014. Annual average air pollutant concentrations at the residence were estimated by land-use regression models. We examined the associations of air pollution with repeatedly assessed biomarker levels using mixed-effects models, and we assessed the associations with the annual rate of change in biomarkers using quantile regression models.Findings Among 9620 observations from 4261 participants in the KORA cohort, we included 6008 (62.5%) observations from 3297 (77.4%) participants in our analyses. Per IQR increment in annual average air pollutant concentrations, HOMA-IR significantly increased by 2.5% (95% CI 0.3 to 4.7) for coarse particulate matter, by 3.1% (0.9 to 5.3) for PM2.5 by 3.6% (1.0 to 6.3) for PM2.5absorbance and by 3.2% (0.6 to 5.8) for nitrogen dioxide, and borderline significantly increased by 2.2% (-0.1 to 4.5) for ozone, whereas it did not significantly increase for the whole range of ultrafine particles. Similar positive associations in slightly smaller magnitude were observed for HOMA-B and fasting insulin levels. In addition, air pollutant concentrations were positively associated with the annual rate of change in HOMA-IR, HOMA-B, and fasting insulin. Neither the level nor the rate of change of fasting glucose were associated with air pollution exposure.Interpretation Our study indicates that long-term air pollution exposure could contribute to the development of insulin resistance, which is one of the key factors in the pathogenesis of type 2 diabetes.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Homeostasis Model Assessment; Long-term Exposure; Beta-cell Function; Particulate Matter; Glucose-homeostasis; Resistance; Markers; Inflammation; Predictors; Mechanisms
ISSN (print) / ISBN 2542-5196
e-ISSN 2542-5196
Quellenangaben Band: 5, Heft: 1, Seiten: E39-E49 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam
Begutachtungsstatus Peer reviewed
Förderungen German Federal Ministry of Education and Research