Application of novel dual wave meal bolus and its impact on glycated hemoglobin A1c level in children with type 1 diabetes

Objective We assessed the racial (Black–White) differences in glycemic control, prevalence of abnormal lipid profiles and factors influencing temporal trends in children with type 1 diabetes (T1DM). Methods This retrospective study was done in children with T1DM. The outcome measure was based on glycemic control and all lipid determinations which were stratified according to the published guidelines. Results The study included 181 children; 76.2% Whites and 23.8% Blacks. The mean glycated hemoglobin (A1C) was higher in Blacks than in Whites (p < 0.0001). Blacks had elevated total cholesterol (TC) (p = 0.0013), lower TC/HDL ratio (p < 0.0001) and higher concentration of HDL (<0.0001) when compared to Whites. The longitudinal analyses over a 5 year period showed changes in A1C significantly associated with changes in the lipid profiles. The lipid profiles in Blacks were more altered by the trend in A1C with changes in the TC (p = 0.0079), non-HDL (p < 0.0001) and HDL (p < 0.0001). Conclusions Black children with T1DM have poorer glycemic control. However they retained excellent levels of HDL when compared to Whites.

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Predictors of diabetic ketoacidosis hospitalizations and hemoglobin A1c among youth with Type 1 diabetes.

Health Psychology ◽

10.1037/hea0000719 ◽

2019 ◽

Vol 38 (7) ◽

pp. 577-585 ◽

Cited By ~ 4

Author(s):

Katherine Semenkovich ◽

Kristoffer S. Berlin ◽

Rachel L. Ankney ◽

Kimberly L. Klages ◽

Mary E. Keenan ◽

...

Keyword(s):

Type 1 Diabetes ◽

Diabetic Ketoacidosis ◽

Hemoglobin A1c

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1411-P: Glycated Hemoglobin A1c Levels during Pregnancy and Risk of Autism in Offspring

Diabetes ◽

10.2337/db19-1411-p ◽

2019 ◽

Vol 68 (Supplement 1) ◽

pp. 1411-P

Author(s):

ANNY XIANG ◽

TING CHOW ◽

MAYRA P. MARTINEZ ◽

DARIOS GETAHUN ◽

KATHLEEN A. PAGE ◽

...

Keyword(s):

Hemoglobin A1c ◽

Glycated Hemoglobin ◽

Glycated Hemoglobin A1c

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1287-P: Psychosocial and Racial Predictors of Hemoglobin A1c in Teenagers with Type 1 Diabetes Mellitus

Diabetes ◽

10.2337/db20-1287-p ◽

2020 ◽

Vol 69 (Supplement 1) ◽

pp. 1287-P

Author(s):

ALISSA GUARNERI ◽

SUNIL K. SINHA ◽

K. MING HONG ◽

ROBERT P. HOFFMAN

Keyword(s):

Diabetes Mellitus ◽

Type 1 Diabetes ◽

Type 1 Diabetes Mellitus ◽

Hemoglobin A1c

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898-P: Benefit of Continuous Glucose Monitoring (CGM) in Reducing Hemoglobin A1c Is Sustained through 12 Months of Use among Adolescents and Young Adults with Type 1 Diabetes (T1D)

Diabetes ◽

10.2337/db20-898-p ◽

2020 ◽

Vol 69 (Supplement 1) ◽

pp. 898-P

Author(s):

KELLEE MILLER ◽

LAUREN KANAPKA ◽

COLLEEN BAUZA ◽

LORI M. LAFFEL

Keyword(s):

Type 1 Diabetes ◽

Young Adults ◽

Continuous Glucose Monitoring ◽

Hemoglobin A1c ◽

Glucose Monitoring ◽

Adolescents And Young Adults

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A Decade of Disparities in Diabetes Technology Use and HbA1c in Pediatric Type 1 Diabetes: A Trans-Atlantic Comparison

10.2337/figshare.12808301 ◽

2020 ◽

Author(s):

Ananta Addala ◽

Marie Auzanneau ◽

Kellee Miller ◽

Werner Maier ◽

Nicole Foster ◽

...

Keyword(s):

Type 1 Diabetes ◽

Technology Use ◽

Hemoglobin A1c ◽

Diabetes Technology ◽

Design And Methods ◽

Relationship Of ◽

The Relationship ◽

Pediatric Type 1 Diabetes

Objective: As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A1c (HbA1c). We hypothesized an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA1c disparities. Research Design and Methods: Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, US, 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 HbA1c from 2010-2012 and 2016-2018. Results: HbA1c was higher in participants with lower SES (in 2010-2012 & 2016-2018, respectively: 8.0% & 7.8% in Q1 and 7.6% & 7.5% in Q5 for DPV; and 9.0% & 9.3% in Q1 and 7.8% & 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA1c did not change between the two time periods, whereas for T1DX, disparities in HbA1c 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 HbA1c is highest in those of the lowest SES quintile in the T1DX and this difference for HbA1c broadened in the last decade. Associations of SES with technology use and HbA1c were weaker in the DPV registry.

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Association between Physical Activity and Sport Participation on Hemoglobin A1c Among Children and Adolescents with Type 1 Diabetes

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18147490 ◽

2021 ◽

Vol 18 (14) ◽

pp. 7490

Author(s):

Kristi M. King ◽

Jason R. Jaggers ◽

Lindsay J. Della ◽

Timothy McKay ◽

Sara Watson ◽

...

Keyword(s):

Physical Activity ◽

Type 1 Diabetes ◽

Medical Records ◽

Hemoglobin A1c ◽

Pediatric Patients ◽

Sport Participation ◽

Multiple Linear Regression Model ◽

Significant Difference ◽

Hba1c Levels

Purpose: To determine associations between physical activity (PA) and sport participation on HbA1c levels in children with type 1 diabetes (T1D). Method: Pediatric patients with T1D were invited to complete a PA and sport participation survey. Data were linked to their medical records for demographic characteristics, diabetes treatment and monitoring plans, and HbA1c levels. Results: Participants consisted of 71 females and 81 males, were 13 ± 3 years old with an average HbA1c level of 8.75 ± 1.81. Children accumulating 60 min of activity 3 days or more a week had significantly lower HbA1c compared to those who accumulated less than 3 days (p < 0.01) of 60 min of activity. However, there was no significant difference in HbA1c values based on sport participation groups. A multiple linear regression model indicated that PA, race, age, duration of diagnosis, and CGM use all significantly predicted HbA1c (p < 0.05). Conclusion: This study demonstrated the significant relationship between daily PA and HbA1c. Those in this sample presented with lower HbA1c values even if accumulating less than the recommended number of days of activity. Further, it was shown that sport participation alone may not be adequate enough to impact HbA1c in a similar manner.

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