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

Overview of attention for article published in Diabetologia, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Impact of long-term air pollution exposure on metabolic control in children and adolescents with type 1 diabetes: results from the DPV registry
Published in
Diabetologia, February 2018
DOI 10.1007/s00125-018-4580-8
Pubmed ID
Authors

Stefanie Lanzinger, Joachim Rosenbauer, Dorothea Sugiri, Tamara Schikowski, Birgit Treiber, Daniela Klee, Wolfgang Rathmann, Reinhard W. Holl

Abstract

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 air pollution variables (particulate matter with an aerodynamic diameter <10 μm [PM10], NO2and accumulated ozone exposure [O3-AOT]) and metabolic variables (HbA1cand daily insulin dose [U/kg body weight]) in children and adolescents with type 1 diabetes. We investigated 37,372 individuals with type 1 diabetes aged <21 years, documented between 2009 and 2014 in 344 German centres of the prospective diabetes follow-up registry (Diabetes-Patienten-Verlaufsdokumentation [DPV]). Long-term air pollution exposure (annual and quinquennial means) data were linked to participants via the five-digit postcode areas of residency. Cross-sectional multivariable regression analysis was used to examine the association between air pollution and metabolic control. After comprehensive adjustment, an interquartile range increase in O3-AOT was associated with a lower HbA1c(-3.7% [95% CI -4.4, -3.0]). The inverse association between O3-AOT and HbA1cpersisted after additional adjustment for degree of urbanisation or additional adjustment for PM10. Moreover, the inverse association remained stable in further sensitivity analyses. No significant associations between HbA1cand PM10or NO2were found. No association was observed between any of the three air pollutants and insulin dose. The inverse association between O3-AOT and HbA1ccould not be explained by regional differences in diabetes treatment or by other differences between urban and rural areas. Furthermore, our results remained stable in sensitivity analyses. Further studies on the association between air pollution and HbA1cin children and adolescents with type 1 diabetes are needed to confirm our observed association and to elucidate underlying mechanisms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 5 13%
Student > Ph. D. Student 5 13%
Student > Bachelor 3 8%
Lecturer 2 5%
Other 6 15%
Unknown 11 28%
Readers by discipline Count As %
Nursing and Health Professions 7 18%
Medicine and Dentistry 4 10%
Environmental Science 3 8%
Unspecified 2 5%
Agricultural and Biological Sciences 2 5%
Other 8 21%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 May 2018.
All research outputs
#5,674,397
of 23,043,346 outputs
Outputs from Diabetologia
#2,430
of 5,092 outputs
Outputs of similar age
#98,832
of 330,611 outputs
Outputs of similar age from Diabetologia
#42
of 64 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,092 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,611 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.