scholarly journals Effects of Moderate-to-Vigorous Intensity Physical Activity on Overnight and Next-Day Hypoglycemia in Active Adolescents With Type 1 Diabetes

Diabetes Care ◽  
2014 ◽  
Vol 37 (5) ◽  
pp. 1272-1278 ◽  
Author(s):  
Kristen M. Metcalf ◽  
Ajay Singhvi ◽  
Eva Tsalikian ◽  
Michael J. Tansey ◽  
M. Bridget Zimmerman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

scholarly journals Physical Activity Levels of Adolescents with Type 1 Diabetes Physical Activity in T1D

2017 ◽  
Vol 29 (2) ◽  
pp. 213-219 ◽  
Author(s):  
Valderi Abreu de Lima ◽  
Luis Paulo Gomes Mascarenhas ◽  
Juliana Pereira Decimo ◽  
William Cordeiro de Souza ◽  
Anna Louise Stellfeld Monteiro ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Cardiorespiratory Fitness ◽  
Vigorous Physical Activity ◽  
Inverse Correlation ◽  
Activity Levels ◽  
Z Score ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

The aim of this study was to evaluate the level of physical activity and cardiorespiratory fitness in teenagers with type 1 diabetes mellitus (T1D) in comparison with healthy scholar participants. Total of 154 teenagers (T1D = 45 and CON = 109). Height, weight, cardiorespiratory fitness (VO2max), and the level of physical activity by the Bouchard’s Physical Activity Record were measured, and glycated hemoglobin (HbA1c) in T1D. The VO2max was lower in the T1D (38.38 ± 7.54) in comparison with the CON (42.44 ± 4.65; p < .05). The VO2max had correlation with the amount of time of moderate-to-vigorous physical activity (r = .63; p = .0001) and an inverse correlation with sedentary activities (r= -0.46; p = .006). In the T1D the levels of HbA1c had an inverse correlation with the amount of time of moderate-to-vigorous physical activity (r= -0.34; p = .041) and correlation with the BMI z-score (r = .43; p = .017). Only 37,8% of the participants in the T1D reached the adequate amount of daily moderate-to-vigorous intensity physical activity, in the CON 81,7% reached the WHO’s recommendation. Conclusion: T1D had less cardiorespiratory capacity then healthy controls, the teenagers of T1D with lower BMI z-score and that dedicated a greater time in moderate-to-vigorous intensity physical activity demonstrated a better glycemic control.

scholarly journals Levels and Patterns of Physical Activity in Children and Adolescents With Type 1 Diabetes and Associated Metabolic and Physiologic Health Outcomes

2010 ◽  
Vol 7 (1) ◽  
pp. 68-77 ◽  
Author(s):  
Sarah Edmunds ◽  
Denise Roche ◽  
Gareth Stratton
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Health Outcomes ◽  
Children And Adolescents ◽  
Moderate Intensity ◽  
Insulin Dosage ◽  
Current Recommendation ◽  
Health Gains ◽  
Vigorous Intensity

Background:The current study objectively assessed physical activity (PA) levels and patterns in children and adolescents with type 1 diabetes and compared the metabolic and physiologic health profiles of those achieving and those not achieving the current recommendation of 60 minutes a day (minutes·D−1) of at least moderate intensity PA.Method:37 children and adolescents (20 boys, 17 girls) aged 12.7 ± 2.1 years (mean ± SD), disease duration 5.9 ± 3.0 years participated. PA was assessed using heart rate monitoring. Peak VO2, BMI, sum of 5 skinfolds, HbA1c, and daily insulin dosage were also determined.Results:Mean accumulated time in moderate-to-vigorous intensity PA was 53.6 ± 31.4 minutes·D−1. Levels of vigorous-intensity PA were low, mean 8.3 ± 10.2 minutes·D−1. When controlling for age, no differences in metabolic or physiologic health outcomes were evident between those individuals achieving, and those not achieving, 60 minutes·D−1 of moderate-to-vigorous intensity PA. PA predominantly occurred in short bouts lasting 5 minutes or less.Conclusion:The efficacy of accumulating 60 minutes·D−1 of moderate-to-vigorous intensity PA, in the form of short duration, intermittent bouts of largely unplanned PA, to promote health gains in children and adolescents with type 1 diabetes is questionable.

89-LB: The Effect of GIP on Plasma Glucose in a Setting of Prandial Insulin Overdose and Physical Activity after Meal Intake in Patients with Type 1 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 89-LB ◽  
Author(s):  
BJØRN HOE ◽  
SEBASTIAN M. NGUYEN HEIMBÜRGER ◽  
LÆRKE S. GASBJERG ◽  
MADS B. LYNGGAARD ◽  
BOLETTE HARTMANN ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Plasma Glucose ◽  
Prandial Insulin ◽  
Meal Intake ◽  
Insulin Overdose

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.

Moderate-Vigorous Physical Activity and the Risk of Hypoglycemia in Active and Inactive Persons Living with Type 1 Diabetes

2017 ◽  
Vol 41 (5) ◽  
pp. S27
Author(s):  
Andrea Macintosh ◽  
Nika Korpesho ◽  
Jacqueline Hay ◽  
Meaghan Rempel ◽  
Kristy Wittmeier ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Vigorous Physical Activity

Metabolic and lifestyle determinants of glycemic variability in persons at high risk of type 2 diabetes: a study with continuous monitoring of diet, physical activity, and glucose level. (Preprint)

2021 ◽  
Author(s):  
Su Hyun Park ◽  
Jiali Yao ◽  
Clare Whitton ◽  
Xin Hui Chua ◽  
Suresh Rama Chandran ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Risk ◽  
Glycemic Variability ◽  
Tolerance Test ◽  
Glucose Levels ◽  
Intensity Physical Activity ◽  
Time In Range ◽  
Vigorous Intensity ◽  
Mean Glucose

BACKGROUND Frequent and large fluctuations in blood glucose concentration during the day may increase risk of type 2 diabetes. It remains unclear how diet and physical activity affect glycemic variability in real-world conditions in persons without diabetes. OBJECTIVE We examined metabolic and lifestyle determinants (diet, physical activity, and sleep) of blood glucose levels over a seven-day period in people at high risk for diabetes METHODS Twenty-eight participants with a mean age of 46.0 (SD 9.9) years and a mean body mass index (BMI) of 27.5 (SD 1.8) kg/m2 underwent a mixed meal tolerance test to assess glucose homeostasis at baseline. Subsequently, they wore an accelerometer to assess movement behaviors, recorded their dietary intakes through a mobile phone application, and wore a flash glucose monitoring device that measured glucose levels every 15 min for seven days. Generalized estimating equation models were used to assess the associations of metabolic and lifestyle risk factors with daily mean glucose levels (mmol/L), the coefficient of variation (CV%) of glucose levels, and time-in-range (3.0 to 7.8 mmol/L, %). RESULTS A higher BMI (β = 0.12 per kg/m2; P = 0.01), body fat (β = 0.03 per kg; P = 0.01), and selected markers of hyperglycemia and insulin resistance from the meal tolerance test were associated with higher mean glucose levels during the seven days. Moderate-to-vigorous intensity physical activity (β = -1.77 per hr./d, P = 0.008) and polyunsaturated fat intake (β = -2.23 per 5 energy %, P < 0.001) were independently associated with less variation in glucose levels (CV%). Higher protein (β = 0.90, P = 0.007) and polyunsaturated fatty acid (β = 3.21, P = 0.02) intakes were associated with more time-in-range. In contrast, higher carbohydrates intake was associated with less time-in-range (β = -0.59, P = 0.04). Sleep, sedentary behavior, or light intensity physical activity were not independently associated with glucose measures. CONCLUSIONS Body fatness was associated with higher mean glucose levels, and moderate-to-vigorous intensity physical activity was associated with less glycemic variability throughout a week. Diets with higher protein and polyunsaturated fat, and lower carbohydrates were associated with more time in normal glucose range. Physical activity and dietary composition can substantially influence glucose variation in people at high risk of diabetes.

Moderate-to-vigorous intensity physical activity from young adulthood to middle age and metabolic disease: a 30-year population-based cohort study

2021 ◽  
pp. bjsports-2021-104231
Author(s):  
Jason M Nagata ◽  
Eric Vittinghoff ◽  
Kelley Pettee Gabriel ◽  
Andrea K Garber ◽  
Andrew E Moran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Disease ◽  
Life Course ◽  
Young Adulthood ◽  
Disease Risk ◽  
Density Lipoprotein ◽  
Active Group ◽  
Diabetes Incidence ◽  
Intensity Physical Activity ◽  
Vigorous Intensity

ObjectivesTo determine the association between moderate-to-vigorous intensity physical activity (MVPA) trajectories (course over age and time) through the adult life course and onset of metabolic disease (diabetes and dyslipidaemia).MethodsWe analysed prospective community-based cohort data of 5115 participants in the Coronary Artery Risk Development in Young Adults study, who were black and white men and women aged 18–30 years at baseline (1985–1986) at four urban sites, collected through 30 years of follow-up. Individualised MVPA trajectories were developed for each participant using linear mixed models.ResultsLower estimated MVPA score at age 18 was associated with a 12% (95% CI 6% to 18%) higher odds of incident diabetes, a 4% (95% CI 1% to 7%) higher odds of incident low high-density lipoprotein (HDL) and a 6% (95% CI 2% to 11%) higher odds of incident high triglycerides. Each additional annual 1-unit reduction in the MVPA score was associated with a 6% (95% CI 4% to 9%) higher annual odds of diabetes incidence and a 4% (95% CI 2% to 6%) higher annual odds of high triglyceride incidence. Analysing various MVPA trajectory groups, participants who were in the most active group at age 18 (over 300 min/week), but with sharp declines in midlife, had higher odds of high low-density lipoprotein and low HDL incidence, compared with those in the most active group at age 18 with subsequent gains.ConclusionGiven recent trends in declining MVPA across the life course and associated metabolic disease risk, young adulthood is an important time period for interventions to increase and begin the maintenance of MVPA.

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