scholarly journals Hemoglobin A1C levels and sport participation in children with type 1 diabetes.

2019 ◽  
Author(s):  
Amy Kozerski
Keyword(s):  
Type 1 Diabetes ◽  
Hemoglobin A1c ◽  
Sport Participation

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

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.

scholarly journals Hemoglobin A1c, Physical Activity, And Sport Participation Among Children With Type 1 Diabetes

2020 ◽  
Vol 52 (7S) ◽  
pp. 130-130
Author(s):  
Kristi M. King ◽  
Jason R. Jaggers ◽  
Timothy McKay ◽  
Kupper Wintergerst
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Hemoglobin A1c ◽  
Sport Participation

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

2019 ◽  
Vol 38 (7) ◽  
pp. 577-585 ◽  
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

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

Diabetes ◽  
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

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

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

<b>Objective:</b> 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. <p> </p> <p><b>Research Design and Methods: </b>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. </p> <p> </p> <p><b>Results: </b>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.</p> <p> </p> <p><b>Conclusions: </b>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. </p>

Partial remission in children and adolescents with type 1 diabetes: an analysis based on the insulin dose-adjusted hemoglobin A1c

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Emine Ayça Cimbek ◽  
Aydın Bozkır ◽  
Deniz Usta ◽  
Nazım Ercüment Beyhun ◽  
Ayşenur Ökten ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Partial Remission ◽  
Hemoglobin A1c ◽  
Insulin Dose ◽  
Age At Onset ◽  
Insulin Requirement ◽  
C Peptide ◽  
Factors Associated ◽  
Daily Insulin

Abstract Objectives Most patients with type 1 diabetes (T1D) experience a transient phase of partial remission (PR). This study aimed to identify the demographic and clinical factors associated with PR. Methods This was a longitudinal retrospective cohort study of 133 children and adolescents with T1D. PR was defined by the gold standard insulin dose-adjusted hemoglobin A1c (HbA1c) (IDAA1c) of ≤9. Results Remission was observed in 77 (57.9%) patients. At diagnosis, remitters had significantly higher pH (7.3 ± 0.12 vs. 7.23 ± 0.15, p=0.003), higher C-peptide levels (0.45 ± 0.31 ng/mL vs. 0.3 ± 0.22, p=0.003), and they were significantly older (9.3 ± 3.6 years vs. 7.3 ± 4.2, p=0.008) compared with non-remitters. PR developed more frequently in patients without diabetic ketoacidosis (DKA) (p=0.026) and with disease onset after age 5 (p=0.001). Patients using multiple daily insulin regimen were more likely to experience PR than those treated with a twice daily regimen (63.9 vs. 32%, p=0.004). Only age at onset was an independent predictor of PR (OR: 1.12, 95% CI: 1-1.25; p=0.044). Remitters had lower HbA1c levels and daily insulin requirement from diagnosis until one year after diagnosis (p<0.001). PR recurred in 7 (9%) patients. The daily insulin requirement at three months was lower in remitters with PR recurrence compared to those without (0.23 ± 0.14 vs. 0.4 ± 0.17 U/kg/day, p=0.014). Conclusions Addressing factors associated with the occurrence of PR could provide a better comprehension of metabolic control in T1D. The lack of DKA and higher C-peptide levels may influence PR, but the main factor associated with PR presence was older age at onset. PR may recur in a small proportion of patients.

Frequency of flash glucose monitoring readings, hemoglobin A1c and time in range: a real life study in adults with type 1 diabetes

2020 ◽  
Vol 57 (11) ◽  
pp. 1395-1397 ◽  
Author(s):  
Andrea Laurenzi ◽  
Amelia Caretto ◽  
Mariluce Barrasso ◽  
Andrea Mario Bolla ◽  
Nicoletta Dozio ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Hemoglobin A1c ◽  
Real Life ◽  
Glucose Monitoring ◽  
Flash Glucose Monitoring ◽  
Life Study ◽  
Time In Range ◽  
Real Life Study

scholarly journals Glycated Hemoglobin A1c Levels in Type 1 Diabetes Mellitus and Outcomes After Myocardial Infarction

Circulation ◽  
2019 ◽  
Vol 139 (20) ◽  
pp. 2380-2382 ◽  
Author(s):  
Thomas Nyström ◽  
Ulrik Sartipy ◽  
Andrea Contardi ◽  
Marcus Lind ◽  
Rino Bellocco ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Hemoglobin A1c ◽  
Glycated Hemoglobin ◽  
Glycated Hemoglobin A1c
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