Impact of long-term air pollution exposure on metabolic control in children and adolescents with type 1 diabetes: results from the DPV registry

peer-reviewed
Erstveröffentlichung
2018-02-24Authors
Lanzinger, Stefanie
Rosenbauer, Joachim
Sugiri, Dorothea
Schikowski, Tamara
Treiber, Birgit
Wissenschaftlicher Artikel
Published in
Diabetologia ; 2018 (2018), 6. - S. 1354-1361. - ISSN 1432-0428
Link to original publication
https://dx.doi.org/10.1007/s00125-018-4580-8Faculties
Medizinische FakultätInstitutions
Institut für Epidemiologie und Medizinische BiometrieExternal cooperations
German Centre for Diabetes Research (DZD), München-NeuherbergInstitute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Leibniz Research Institute for Environmental Medicine (IUF), Düsseldorf, Germany
Hospital for Children and Adolescents, Clinical Centre St. Marien, Amberg, Germany
Pediatric Practice, Bürstadt, Germany
Document version
accepted versionAbstract
Aims: Studies on the association between air pollution and metabolic control in children and adolescents with type 1 diabetes are rare and findings are inconsistent. We examined the relationship between particulate matter with an aerodynamic diameter <10 µm (PM10), nitrogen dioxide (NO2) and accumulated ozone exposure (O3-AOT) and HbA1c and daily insulin dose (IU/kg body weight) in children and adolescents with type 1 diabetes.
Methods: We investigated 37,372 individuals with type 1 diabetes <21 years documented between 2009 and 2014 in 344 German centres of the diabetes prospective follow-up registry (DPV). Long-term air pollution exposure (annual and quinquennial means) was assigned to 5 digit postcode areas of residency. Cross-sectional multivariable regression analysis was used to examine the association between air pollution and metabolic control.
Results: After comprehensive adjustment, an interquartile range increase in O3-AOT was associated with a lower HbA1c (-3.7% [95% confidence interval:-4.4, -3.0]). The inverse association between O3-AOT and HbA1c persisted after additional adjustment for degree of urbanization or additional adjustment for PM10. Moreover, the inverse association remained stable in further sensitivity analyses. No significant associations between HbA1c and PM10 or NO2 were found. No association was observed between any of the three air pollutants and insulin dose.
Conclusions: The inverse association between O3-AOT and HbA1c could not be explained by regional differences in diabetes treatment or other differences between urban and rural areas. Furthermore, our results remained stable in sensitivity analyses. Further studies on the association between air pollution and HbA1c in children and adolescents with type 1 diabetes are needed to confirm our observed association and to elucidate underlying mechanisms.
EU Project uulm
INNODIA / Translational approaches to disease modifying therapy of type 1 diabetes: an innovative approach towards understanding and arresting type 1 diabetes – Sofia ref.: 115797 / EC / H2020 / 115797
Is supplemented by
https://static-content.springer.com/esm/art%3A10.1007%2Fs00125-018-4580-8/MediaObjects/125_2018_4580_MOESM1_ESM.pdfSubject headings
[GND]: Luftverschmutzung | Blutbild | Ozon | Feinstaub | Zuckerstoffwechsel | Diabetes mellitus / Typ I[LCSH]: Air; Pollution
[MeSH]: Insulins | Ozone; Adverse effects | Metabolism | Particulate matter | Diabetes mellitus, Type 1 | Glycated hemoglobin A
[Free subject headings]: Air pollution | HbA1c | Metabolic control
[DDC subject group]: DDC 610 / Medicine & health
Metadata
Show full item recordDOI & citation
Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-13993
Lanzinger, Stefanie et al. (2019): Impact of long-term air pollution exposure on metabolic control in children and adolescents with type 1 diabetes: results from the DPV registry. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-13993
Citation formatter >