scholarly journals Physical Activity in Adolescent Females with Type 1 Diabetes

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Bahareh Schweiger ◽  
Georgeanna Klingensmith ◽  
Janet K. Snell-Bergeon
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Vigorous Physical Activity ◽  
Linear Regression Analysis ◽  
Adolescent Females ◽  
Self Report ◽  
Activity Levels ◽  
Physically Active

Objective. We sought to identify amount of physical activity and relationship of physical activity to glycemic control among adolescent females 11 to 19 years of age with type 1 diabetes mellitus (T1DM). We also sought to evaluate associations of age and ethnicity with physical activity levels.Research Design and Methods. Adolescent females ages 11–19 years (n=203) were recruited during their outpatient diabetes appointment. Physical activity was obtained by self-report and was categorized as the number of days subjects had accumulated 60 minutes of moderate-to-vigorous physical activity during the past 7 days and for a typical week.Results. Girls reported being physically active for at least 60 minutes per day on2.7±2.3days in the last week, and on3.1±2.2days in a typical week. A greater number of physically active days in a typical week were associated with lower A1c (P=.049) in linear regression analysis.Conclusion. Adolescent females with T1DM report exercising for at least 60 minutes about 3 days per week, which does not meet the international recommendations of 60 minutes of moderate-to-vigorous activity per day. It is particularly important that adolescent girls with T1DM be encouraged to exercise since a greater number of physically active days per week is associated with better glycemic control.

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.

Physical activity in type 1 diabetic young and early adults treated with insulin pump therapy. A preliminary report.

2019 ◽  
Vol 1 ◽  
pp. 13-21
Author(s):  
A. Roszkowski ◽  
K. Kulesza ◽  
M. Cybulski ◽  
A.M. Witkowska
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Insulin Pump ◽  
Vigorous Physical Activity ◽  
Insulin Pump Therapy ◽  
Control Group ◽  
Pump Therapy ◽  
Physically Active ◽  
Self Monitoring

<b>Purpose:</b> To determine the level of physical activity in young and early adults with type 1 diabetes in comparison with their healthy counterparts and to determine whether the use of insulin pump facilitates physical activity. <br/><b>Materials and methods:</b> This study included 40 type 1 diabetes (T1D) subjects of both sexes treated with a personal insulin pump therapy, and 30 healthy controls. The diagnostic survey included questions about nutrition, knowledge about the disease and whether the patient can control diabetes through physical activity, diet and self-monitoring. The International Physical Activity Questionnaire – long form (IPAQ-L), was used to assess the level of physical activity of both diabetic and control individuals. <br/><b>Results:</b> 87.5% T1D subjects believe that using an insulin pump facilitates their physical activity. The level of physical activity associated with cycling (p=0.038) and vigorous physical activity (p=0.008) was higher in T1D than in the control group. Statistically significant differences (p=0.043) were found for total physical activity. The total mean activity was higher in participants with T1D (8147.70 MET-min/week) compared to the control group (5857.55 MET-min/week). <br/><b>Conclusions:</b> Young and early adults with type 1 diabetes may be more physically active than their healthy counterparts, mainly in their leisure time. The use of a personal insulin pump facilitates physical activity, but most diabetics experience episodes of hypoglycemia after physical activity.

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

scholarly journals Depression, obesity, and smoking were independently associated with inadequate glycemic control in patients with type 1 diabetes

2013 ◽  
Vol 168 (6) ◽  
pp. 861-869 ◽  
Author(s):  
Eva O Melin ◽  
Maria Thunander ◽  
Ralph Svensson ◽  
Mona Landin-Olsson ◽  
Hans O Thulesius
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Physical Inactivity ◽  
Depression Scale ◽  
Self Report ◽  
Cross Sectional ◽  
Diabetes Registry ◽  
Control Of Diabetes ◽  
Inadequate Glycemic Control

ObjectiveThe aim of this study was to explore the associations between inadequate glycemic control of diabetes and psychological, anthropometric, and lifestyle variables in a population-based cohort of type 1 diabetes patients.DesignCross-sectional study.MethodsIn this study, 292 patients with type 1 diabetes, aged 18–59 years, participated. Psychological data were assessed by self-report instruments: Hospital Anxiety and Depression Scale and Toronto Alexithymia Scale-20. Anthropometrics, blood analyses, data from medical records, and data from the Swedish National Diabetes Registry were collected.ResultsSelf-reported depression (adjusted odds ratio (AOR) 4.8), obesity (AOR 4.3), and smoking (AOR 3.0) were independently associated with inadequate glycemic control of diabetes (HbA1c>8.6%). Gender-stratified analyses showed that self-reported depression (AOR 19.8) and obesity (AOR 7.0) in women and smoking in men (AOR 4.2) were associated with HbA1c>8.6%. Alexithymia, antidepressant medication, and physical inactivity were associated with HbA1c>8.6% only in bivariate analyses. Alexithymia, self-rated anxiety, physical inactivity, and absence of abdominal obesity were associated with self-reported depression.ConclusionsDepression was the only psychological factor independently associated with HbA1c>8.6%. The association was of comparable importance as obesity and smoking, well-known risk factors for inadequate glycemic control and diabetes complications. The association between depression and HbA1c>8.6% was particularly strong for women. Alexithymia, which is a relatively stable personality trait, was associated with depression. In the future care of patients with diabetes, psychological aspects should be considered alongside anthropometrics and lifestyle factors in order to achieve the goals for HbA1c.

Association Between Moderate and Vigorous Physical Activity and Gross Motor Coordination in Preschool Children

2019 ◽  
Vol 7 (2) ◽  
pp. 273-285 ◽  
Author(s):  
Sandra Silva-Santos ◽  
Amanda Santos ◽  
Michael Duncan ◽  
Susana Vale ◽  
Jorge Mota
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Motor Coordination ◽  
Vigorous Physical Activity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Activity Levels ◽  
Gross Motor ◽  
Age Related ◽  
Movement Assessment

Introduction: Adequate gross motor coordination is essential for children participating in age-related physical activities and has an important role in maintaining sufficient physical activity levels during the life course. Aim: To examine the association between moderate-to-vigorous physical activity (MVPA) and gross motor coordination during sedentary behavior in early childhood (ages 3–6 y). Methods: The sample comprised 209 children aged 3–6 y. Gross motor coordination was assessed according to the Movement Assessment Battery for Children (MABC-2). The battery to assess gross motor coordination comprised the aiming and catching, and balance components. MVPA was measured by accelerometry worn for 7 consecutive days (Monday to Sunday). Results: Our data indicated that 31.5% of the sample had low, 32.5% medium, and 36.0% high gross motor coordination. Multiple linear regression analysis showed that MVPA was positively associated with gross motor coordination, adjusted for gender and sedentary behavior. Conclusions: Preschoolers with high gross motor coordination spend more time in MVPA. Gross motor coordination development should therefore be a key strategy in childhood interventions aiming to promote physical activity.

Correlation between Glycemic Control and Physical Activity Level in Adolescents and Children with Type 1 Diabetes

2015 ◽  
Vol 12 (2) ◽  
pp. 232-237 ◽  
Author(s):  
Cristiane Petra Miculis ◽  
Wagner De Campos ◽  
Margaret Cristina da Silva Boguszewski
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Physical Activity Level ◽  
Activity Level

scholarly journals Continuous Glucose Monitors and Activity Trackers to Inform Insulin Dosing in Type 1 Diabetes: The University of Virginia Contribution

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5386 ◽  
Author(s):  
Chiara Fabris ◽  
Basak Ozaslan ◽  
Marc D. Breton
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
In Silico ◽  
University Of Virginia ◽  
Percent Time ◽  
Activity Trackers ◽  
Continuous Glucose Monitors ◽  
The University

Objective: Suboptimal insulin dosing in type 1 diabetes (T1D) is frequently associated with time-varying insulin requirements driven by various psycho-behavioral and physiological factors influencing insulin sensitivity (IS). Among these, physical activity has been widely recognized as a trigger of altered IS both during and following the exercise effort, but limited indication is available for the management of structured and (even more) unstructured activity in T1D. In this work, we present two methods to inform insulin dosing with biosignals from wearable sensors to improve glycemic control in individuals with T1D. Research Design and Methods: Continuous glucose monitors (CGM) and activity trackers are leveraged by the methods. The first method uses CGM records to estimate IS in real time and adjust the insulin dose according to a person’s insulin needs; the second method uses step count data to inform the bolus calculation with the residual glucose-lowering effects of recently performed (structured or unstructured) physical activity. The methods were tested in silico within the University of Virginia/Padova T1D Simulator. A standard bolus calculator and the proposed “smart” systems were deployed in the control of one meal in presence of increased/decreased IS (Study 1) and following a 1-hour exercise bout (Study 2). Postprandial glycemic control was assessed in terms of time spent in different glycemic ranges and low/high blood glucose indices (LBGI/HBGI), and compared between the dosing strategies. Results: In Study 1, the CGM-informed system allowed to reduce exposure to hypoglycemia in presence of increased IS (percent time < 70 mg/dL: 6.1% versus 9.9%; LBGI: 1.9 versus 3.2) and exposure to hyperglycemia in presence of decreased IS (percent time > 180 mg/dL: 14.6% versus 18.3%; HBGI: 3.0 versus 3.9), tending toward optimal control. In Study 2, the step count-informed system allowed to reduce hypoglycemia (percent time < 70 mg/dL: 3.9% versus 13.4%; LBGI: 1.7 versus 3.2) at the cost of a minor increase in exposure to hyperglycemia (percent time > 180 mg/dL: 11.9% versus 7.5%; HBGI: 2.4 versus 1.5). Conclusions: We presented and validated in silico two methods for the smart dosing of prandial insulin in T1D. If seen within an ensemble, the two algorithms provide alternatives to individuals with T1D for improving insulin dosing accommodating a large variety of treatment options. Future work will be devoted to test the safety and efficacy of the methods in free-living conditions.

scholarly journals Measures of Adherence and Challenges in Using Glucometer Data in Youth with Type 1 Diabetes: Rethinking the Value of Self-Report

2017 ◽  
Vol 2017 ◽  
pp. 1-4 ◽  
Author(s):  
Karishma A. Datye ◽  
Niral J. Patel ◽  
Sarah S. Jaser
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Objective Measure ◽  
Relative Strength ◽  
Self Report ◽  
Strongly Correlated ◽  
Questionnaire Measure ◽  
Average Blood Glucose

Purpose. The current study compares the relative strength of associations of different adherence measures with glycemic control in adolescents with type 1 diabetes, while highlighting the challenges in using more objective measures (i.e., glucometer data). Methods. Adolescents with type 1 diabetes (n=149) and their caregivers completed a questionnaire measure assessing adolescents’ adherence (Self-Care Inventory (SCI)) to the diabetes regimen. Adolescents’ glucometers were downloaded to determine average blood glucose checks per day, as an objective measure of adherence. A measure of glycemic control (hemoglobin A1c (HbA1c)) was obtained as part of adolescents’ regular clinic visits. Results. Adolescents’ self-reported adherence to the treatment regimen was more strongly correlated with HbA1c than caregivers’ reports of adherence. In multivariate analyses, both adolescents’ self-report of adherence and average blood glucose checks per day (obtained via a glucometer) were significant predictors of HbA1c. Challenges to obtaining glucometer data were identified. Conclusions. The findings highlight adolescents’ self-report of adherence using the SCI as a brief and meaningful measure to understand and improve adolescents’ glycemic control, particularly when glucometer data is difficult to obtain.

scholarly journals The development and evaluation of a novel computer program to assess previous-day dietary and physical activity behaviours in school children: The Synchronised Nutrition and Activity ProgramTM (SNAPTM)

2008 ◽  
Vol 99 (6) ◽  
pp. 1266-1274 ◽  
Author(s):  
Helen J. Moore ◽  
Louisa J. Ells ◽  
Sally A. McLure ◽  
Sean Crooks ◽  
David Cumbor ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Dietary Intake ◽  
Vigorous Physical Activity ◽  
Population Level ◽  
Mean Difference ◽  
Self Report ◽  
Substantial Contribution ◽  
Activity Levels ◽  
Food Groups

Self-report recall questionnaires used to measure physical activity and dietary intake in children can be labour intensive and monotonous and tend to focus on either dietary intake or physical activity. The web-based software, Synchronised Nutrition and Activity ProgramTM (SNAPTM), was developed to produce a novel, simple, quick and engaging method of assessing energy balance-related behaviours at a population level, combining principles from new and existing 24 h recall methodologies, set within a user-friendly interface. Dietary intake was measured using counts for twenty-one food groups and physical activity levels were measured in min of moderate to vigorous physical activity (MVPA). A combination of the mean difference between methods, type II regression and non-parametric limits of agreement techniques were used to examine the accuracy and precision of SNAPTM. Method comparison analyses demonstrated a good agreement for both dietary intake and physical activity behaviours. For dietary variables, accuracy of SNAPTM (mean difference) was within ± 1 count for the majority of food groups. The proportion of the sample with between-method agreement within ± 1 count ranged from 0·40 to 0·99. For min of MVPA, there was no substantial fixed or proportional bias, and a mean difference between methods (SNAPTM – accelerometry) of − 9 min. SNAPTM provides a quick, accurate, low-burden, cost-effective and engaging method of assessing energy balance behaviours at a population level. Tools such as SNAPTM, which exploit the popularity, privacy and engagement of the computer interface, and linkages with other datasets, could make a substantial contribution to future public health monitoring and research.

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