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

scholarly journals Hemoglobin A1c Trajectory in Pediatric Patients with Newly Diagnosed Type 1 Diabetes

2019 ◽  
Vol 21 (8) ◽  
pp. 456-461 ◽  
Author(s):  
Priya Prahalad ◽  
Jaden Yang ◽  
David Scheinker ◽  
Manisha Desai ◽  
Korey Hood ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Hemoglobin A1c ◽  
Pediatric Patients ◽  
Newly Diagnosed

scholarly journals Association between Physical Activity and Self-Rated Health among Pediatric Patients with Type 1 Diabetes Mellitus Who Lack Diabetes Care

2018 ◽  
Author(s):  
Hyun Jin Kwon ◽  
Hyok Ju Maeng ◽  
Justin A. Haegele ◽  
Young Ah Lee ◽  
Choong Ho Shin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Muscle Strength ◽  
Type 1 Diabetes Mellitus ◽  
Diabetes Care ◽  
Pediatric Patients ◽  
Strength Exercise ◽  
Self Rated Health

Background: Even though a number of studies have verified the positive effect of physical activity (PA) on self-related health (SRH) no previous research has examined this association among pediatric patients with Type 1 diabetes mellitus (T1DM). Objective: The purpose of this study was to investigate the association between regular physical activity (PA) and self-rated health (SRH) in pediatric patients with Type 1 diabetes mellitus (T1DM) who lacked diabetes care. Methods: We conducted a retrospective study among pediatric patients with T1DM who lacked diabetes care and were enrolled in a diabetes education program between January 2011 to January 2015 at the endocrinology clinic of Seoul National University Children&rsquo;s Hospital in South Korea. The eligible participants for this study were 37 pediatric patients with T1DM aged 9 to 17 years. PA was divided into regular PA and muscle strength exercise to analyze the relationship with SRH using binomial logistic regression analysis. Results: The results showed SRH of pediatric patients with T1DM who did not engage in regular PA was significantly lower than those who did (OR in regular PA = .199 [95% CI: .040, .995]; OR in regular muscle strength exercise = .097 [95% CI: .023, .825]). Conclusions: In conclusion, regular PA and muscle strength exercise in pediatric patients with T1DM who lacked diabetes care were effective in improving their SRH. A systematic plan is required to enhance regular PA for pediatric patients with T1DM.

scholarly journals Home-based video visits for pediatric patients with poorly controlled type 1 diabetes

2019 ◽  
Vol 26 (6) ◽  
pp. 349-355 ◽  
Author(s):  
Stephanie Crossen ◽  
Nicole Glaser ◽  
Hadley Sauers-Ford ◽  
Shelby Chen ◽  
Victoria Tran ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Hemoglobin A1c ◽  
Pediatric Patients ◽  
Video Conferencing ◽  
Frequent Contact ◽  
Home Based ◽  
Technical Issues ◽  
Clinic Visits

Introduction Management of type 1 diabetes (T1D) is labor-intensive, requiring multiple daily blood glucose measurements and insulin injections. Patients are seen quarterly by providers, but evidence suggests more frequent contact is beneficial. Current technology allows secure, remote sharing of diabetes data and video-conferencing between providers and patients in their home settings. Methods Home-based video visits were provided for six months to pediatric T1D patients with poor glycemic control, indicated by a hemoglobin A1c (HbA1c) ≥8% at enrollment. Video visits were conducted every 4–8 weeks in addition to regularly scheduled clinic visits. Dates of clinic visits and HbA1c values were abstracted from the medical record at baseline and six months. Patients were surveyed at video visits regarding technical issues, and after six months a standardized survey was administered to assess satisfaction with video-based care. Results A total of 57 patients enrolled and 36 completed six months of video visits. Patients completing six months averaged 4.0 video visits (SD 1.1). Their frequency of in-person care also increased from 3.2 clinic visits/year at baseline to 3.7 clinic visits/year during the study ( P = 0.04). Mean HbA1c reduction among patients completing six months was 0.8% (95% CI 0.2–1.4%); 94% of these patients were “very satisfied” while 6% were “somewhat satisfied” with the experience. Discussion This study demonstrates that home-based video visits are feasible and satisfactory for pediatric patients with poorly controlled T1D. Furthermore, use of video visits can improve frequency of subspecialty care and resulting glycemic control in this population.

scholarly journals Time in range–A1c hemoglobin relationship in continuous glucose monitoring of type 1 diabetes: a real-world study

2021 ◽  
Vol 9 (1) ◽  
pp. e001045
Author(s):  
Marina Valenzano ◽  
Ivan Cibrario Bertolotti ◽  
Adriano Valenzano ◽  
Giorgio Grassi
Keyword(s):  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Real World ◽  
Hemoglobin A1c ◽  
Linear Regression Analysis ◽  
Real Life ◽  
Glucose Monitoring ◽  
Significant Difference ◽  
Time In Range

IntroductionThe availability of easily accessible continuous glucose monitoring (CGM) metrics can improve glycemic control in diabetes, and they may even become a viable alternative to hemoglobin A1c (HbA1c) laboratory tests in the next years. The REALISM-T1D study (REAl-Life glucoSe Monitoring in Type 1 Diabetes) was aimed at contributing, with real-world data, to a deeper understanding of these metrics, including the time in range (TIR)–HbA1c relationship, to facilitate their adoption by diabetologists in everyday practice.Research design and methods70 adults affected by type 1 diabetes were monitored for 1 year by means of either flash (FGM) or real-time (rtCGM) glucose monitoring devices. Follow-up visits were performed after 90, 180 and 365 days from baseline and percentage TIR70–180 evaluated for the 90-day time period preceding each visit. HbA1c tests were also carried out in the same occasions and measured values paired with the corresponding TIR data.ResultsA monovariate linear regression analysis confirms a strong correlation between TIR and HbA1c as found in previous studies, but leveraging more homogeneous data (n=146) collected in real-life conditions. Differences were determined between FGM and rtCGM devices in Pearson’s correlation (rFGM=0.703, rrtCGM=0.739), slope (β1,FGM=−11.77, β1,rtCGM=−10.74) and intercept (β0,FGM=141.19, β0,rtCGM=140.77) coefficients. Normality of residuals and homoscedasticity were successfully verified in both cases.ConclusionsRegression lines for two patient groups monitored through FGM and rtCGM devices, respectively, while confirming a linear relationship between TIR and A1c hemoglobin (A1C) in good accordance with previous studies, also show a statistically significant difference in the regression intercept, thus suggesting the need for different models tailored to device characteristics. The predictive power of A1C as a TIR estimator also deserves further investigations.

scholarly journals Changes in Device Uptake and Glycemic Control among Pregnant Women With Type 1 Diabetes: Data From the T1D Exchange

2020 ◽  
pp. 193229682097212
Author(s):  
Carol J. Levy ◽  
Nicole C. Foster ◽  
Stephanie N. DuBose ◽  
Shivani Agarwal ◽  
Sarah K. Lyons ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Medical Records ◽  
Insulin Infusion ◽  
Hemoglobin A1c ◽  
Continuous Glucose Monitor ◽  
Potential Benefits ◽  
Device Use ◽  
Glycemic Outcomes ◽  
Hba1c Levels

Objectives: To examine changes in device use and glycemic outcomes for pregnant women from the T1D Exchange Clinic Registry between the years 2010-2013 and 2016-2018. Methods: Participant-reported device use and glycemic outcomes were compared for women aged 16-40 years who were pregnant at the time of survey completion, comparing 2010-2013 (cohort 1) and 2016-2018 (cohort 2). Hemoglobin A1c results within 30 days prior to survey completion were obtained from medical records. Results: There were 208 pregnant women out of 5,236 eligible participants completing the questionnaire in cohort 1 and 47 pregnant women out of 2,818 eligible participants completing the questionaire in cohort 2. Continuous glucose monitor (CGM) use while pregnant trended upward among cohort 2 (70% vs 37%, P = .02), while reported continuous subcutaneous insulin infusion (CSII) use while pregnant declined (76% vs 64%, P = .04). HbA1c levels trended downward (6.8% cohort 1 vs 6.5% cohort 2, P = .07). Conclusions: Self-reported CGM use while pregnant increased over the studied intervals whereas CSII use decreased. Additional evaluation of device use and the potential benefits for T1D pregnancies is needed.

Safety and Feasibility Evaluation of Step Count Informed Meal Boluses in Type 1 Diabetes: A Pilot Study

2021 ◽  
pp. 193229682199791
Author(s):  
Basak Ozaslan ◽  
Sue A. Brown ◽  
Jennifer Pinnata ◽  
Charlotte L. Barnett ◽  
Kelly Carr ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Standard Therapy ◽  
Step Count ◽  
Negative Slope ◽  
Target Range ◽  
Postprandial Phase ◽  
Significant Difference ◽  
Mealtime Insulin

Background: Physical activity can cause glucose fluctuations both during and after it is performed, leading to hurdles in optimal insulin dosing in people with type 1 diabetes (T1D). We conducted a pilot clinical trial assessing the safety and feasibility of a physical activity-informed mealtime insulin bolus advisor that adjusts the meal bolus according to previous physical activity, based on step count data collected through an off-the-shelf physical activity tracker. Methods: Fifteen adults with T1D, each using a continuous glucose monitor (CGM) and an insulin pump with carbohydrate counting, completed two randomized crossover daily visits. Participants performed a 30 to 45-minute brisk walk before lunch and lunchtime insulin boluses were calculated based on either their standard therapy (ST) or the physical activity-informed bolus method. Post-lunch glycemic excursions were assessed using CGM readings. Results: There was no significant difference between visits in the time spent in hypoglycemia in the post-lunch period (median [IQR] standard: 0 [0]% vs physical activity-informed: 0 [0]%, P = NS). Standard therapy bolus yielded a higher time spent in 70 to 180 mg/dL target range (mean ± standard: 77% ± 27% vs physical activity-informed: 59% ± 31%, P = .03) yet, it was associated with a steeper negative slope in the early postprandial phase ( P = .032). Conclusions: Use of step count to adjust mealtime insulin following a walking bout has proved to be safe and feasible in a cohort of 15 T1D subjects. Physical activity-informed insulin dosing of meals eaten soon after a walking bout has a potential of mitigating physical activity related glucose reduction in the early postprandial phase.

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