4.7 Article

A Decade of Disparities in Diabetes Technology Use and HbA1c in Pediatric Type 1 Diabetes: A Transatlantic Comparison

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DIABETES CARE
卷 44, 期 1, 页码 133-140

出版社

AMER DIABETES ASSOC
DOI: 10.2337/dc20-0257

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资金

  1. Leona M. and Harry B. Helmsley Charitable Trust
  2. German Center for Diabetes Research [82DZD14A02]
  3. German Diabetes Association
  4. European Foundation for the Study of Diabetes
  5. Maternal and Child Health Research Institute
  6. K12 fund at Stanford University [K12DK122550]
  7. National Institutes of Health
  8. JDRF
  9. National Science Foundation
  10. Helmsley Charitable Trust
  11. [P30DK116074]

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This study examined the impact of socioeconomic status on diabetes technology use and glycemic control in youth. The results showed that in the T1DX registry in the United States, participants with lower socioeconomic status had higher levels of glycated hemoglobin, and the gap in HbA(1c) by SES widened over the past decade; whereas in the DPV registry in Germany, the influence of SES on technology use and glycemic control was weaker.
OBJECTIVE As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A(1c) (HbA(1c)). We hypothesized that an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA(1c) disparities. RESEARCH DESIGN AND METHODS Participants aged <18 years with diabetes duration >= 1 year in the Type 1 Diabetes Exchange (T1DX, U.S., n = 16,457) and Diabetes Prospective Follow-up (DPV, Germany, n = 39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA(1c) from 2010-2012 to 2016-2018. RESULTS HbA(1c) was higher in participants with lower SES (in 2010-2012 and 2016-2018, respectively: 8.0% and 7.8% in Q1 and 7.6% and 7.5% in Q5 for DPV; 9.0% and 9.3% in Q1 and 7.8% and 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA(1c) did not change between the two time periods, whereas for T1DX, disparities in HbA(1c) by SES increased significantly (P < 0.001). After adjusting for technology use, results for DPV did not change, whereas the increase in T1DX was no longer significant. CONCLUSIONS Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA(1c) is highest in those of the lowest SES quintile in the T1DX, and this difference for HbA(1c) broadened in the past decade. Associations of SES with technology use and HbA(1c) were weaker in the DPV registry.

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