Literature DB >> 31265348

Predicting Nocturnal Hypoglycemia with Measures of Physical Activity Intensity in Adolescent Athletes with Type 1 Diabetes.

Jason R Jaggers1,2, Kristi M King1,2, Sara E Watson1,3, Kupper A Wintergerst1,3.   

Abstract

For someone managing type 1 diabetes, understanding their body's glucose response to physical activity could aid in effectively addressing nocturnal hypoglycemia. The purpose of this investigation was to examine the acute temporal associations between blood glucose and measures of moderate-vigorous physical activity (MVPA) through an accelerometer. Ten adolescent athletes with type 1 diabetes wore an accelerometer and continuous glucose monitor (CGM) consecutively for a minimum of 2 weeks. Physical activity was analyzed according to intensity indicating time spent in light, moderate, and vigorous intensities. Hypoglycemic episodes were defined as two successive CGM readings <70 mg/dL, at 5-min intervals, with an episode ending with at least two CGM readings >70 mg/dL. Incidence of nocturnal hypoglycemia occurred during 29% of the nights measured with an average duration of 52.33 ± 41.04 min. When combining total minutes of moderate and vigorous intensities a significant difference was observed between combined MVPA and number of nocturnal hypoglycemic episodes (62.92 min vs. 49 episodes, P = 0.02). Moderate intensity activity alone was not significant in predicting hypoglycemic events or duration. Vigorous intensity physical activity was a significant predictor of nocturnal hypoglycemia after controlling for sedentary and light intensity minutes, age, and gender (β = 0.21, P = 0.01) with an average time of 26 min of vigorous intensity. Engaging in vigorous intensity physical activity increased the risk of prolonged nocturnal hypoglycemia in adolescent athletes with type 1 diabetes. Incorporating accelerometers into patient care could prove beneficial when making further recommendations for athletes.

Entities:  

Keywords:  Accelerometer; Clinical exercise; Glycemia; Sports medicine

Mesh:

Substances:

Year:  2019        PMID: 31265348     DOI: 10.1089/dia.2019.0048

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  6 in total

1.  Maximal Oxygen Uptake, VO2 Max, Testing Effect on Blood Glucose Level in Adolescents with Type 1 Diabetes Mellitus.

Authors:  Kristi M King; Timothy McKay; Bradly J Thrasher; Kupper A Wintergerst
Journal:  Int J Environ Res Public Health       Date:  2022-05-03       Impact factor: 4.614

Review 2.  Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection.

Authors:  Ahmad Yaser Alhaddad; Hussein Aly; Hoda Gad; Abdulaziz Al-Ali; Kishor Kumar Sadasivuni; John-John Cabibihan; Rayaz A Malik
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12

3.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Authors:  Mary Katherine Ray; Alana McMichael; Maria Rivera-Santana; Jacob Noel; Tamara Hershey
Journal:  JMIR Diabetes       Date:  2021-06-03

4.  Combined Algorithm-Based Adaptations of Insulin Dose and Carbohydrate Intake During Exercise in Children With Type 1 Diabetes: Results From the CAR2DIAB Study.

Authors:  Philippe Antoine Lysy; Hélène Absil; Emy Gasser; Hasnae Boughaleb; Thierry Barrea; Stéphane Moniotte
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-26       Impact factor: 5.555

5.  Prevalence of nocturnal hypoglycemia in free-living conditions in adults with type 1 diabetes: What is the impact of daily physical activity?

Authors:  Joséphine Molveau; Rémi Rabasa-Lhoret; Étienne Myette-Côté; Virginie Messier; Corinne Suppère; Kathryn J Potter; Elsa Heyman; Sémah Tagougui
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-27       Impact factor: 6.055

6.  Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor.

Authors:  Arthur Bertachi; Clara Viñals; Lyvia Biagi; Ivan Contreras; Josep Vehí; Ignacio Conget; Marga Giménez
Journal:  Sensors (Basel)       Date:  2020-03-19       Impact factor: 3.576

  6 in total

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