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The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses
[PURPOSE]: Continuous glucose monitoring (CGM) is on the rise as the prevalence of obesity and diabetes increases. This review aimed to explore the use of CGM and its potential novel applications in physical activity and nutrition management. [METHODS]: We searched PubMed, Web of Science, and Wiley...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Exercise Nutrition
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636508/ https://www.ncbi.nlm.nih.gov/pubmed/37946446 http://dx.doi.org/10.20463/pan.2023.0028 |
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author | Kim, Young-Im Choi, Youngju Park, Jonghoon |
author_facet | Kim, Young-Im Choi, Youngju Park, Jonghoon |
author_sort | Kim, Young-Im |
collection | PubMed |
description | [PURPOSE]: Continuous glucose monitoring (CGM) is on the rise as the prevalence of obesity and diabetes increases. This review aimed to explore the use of CGM and its potential novel applications in physical activity and nutrition management. [METHODS]: We searched PubMed, Web of Science, and Wiley Online Library databases using the keywords ‘continuous glucose monitor,’ ‘nutrition,’ ‘physical activity,’ and ‘numerical modeling.’ [RESULTS]: Continuous blood glucose measurement is useful for individuals with obesity and diabetes. Long-term blood glucose data allow for personalized planning of nutritional composition, meal timing, and physical activity type and intensity, as well as help prevent hypoglycemia and hyperglycemia. Thus, understanding the limitations of CGM is important for its effective use. [CONCLUSION]: CGM systems are being increasingly used to monitor and identify appropriate blood glucose controlling interventions. Blood glucose level is influenced by various factors such as nutrient composition, meal timing, physical activity, circadian rhythm, and cortisol levels. Numerical modeling can be used to analyze the complex relationship between stress, sleep, nutrition, and physical activity, which affect blood glucose levels. In future, blood glucose, sleep, and stress data will be integrated to predict appropriate lifestyle levels for blood glucose management. This integrated approach improves glucose control and overall wellbeing, potentially reducing societal costs. |
format | Online Article Text |
id | pubmed-10636508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Society for Exercise Nutrition |
record_format | MEDLINE/PubMed |
spelling | pubmed-106365082023-11-15 The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses Kim, Young-Im Choi, Youngju Park, Jonghoon Phys Act Nutr Review Article [PURPOSE]: Continuous glucose monitoring (CGM) is on the rise as the prevalence of obesity and diabetes increases. This review aimed to explore the use of CGM and its potential novel applications in physical activity and nutrition management. [METHODS]: We searched PubMed, Web of Science, and Wiley Online Library databases using the keywords ‘continuous glucose monitor,’ ‘nutrition,’ ‘physical activity,’ and ‘numerical modeling.’ [RESULTS]: Continuous blood glucose measurement is useful for individuals with obesity and diabetes. Long-term blood glucose data allow for personalized planning of nutritional composition, meal timing, and physical activity type and intensity, as well as help prevent hypoglycemia and hyperglycemia. Thus, understanding the limitations of CGM is important for its effective use. [CONCLUSION]: CGM systems are being increasingly used to monitor and identify appropriate blood glucose controlling interventions. Blood glucose level is influenced by various factors such as nutrient composition, meal timing, physical activity, circadian rhythm, and cortisol levels. Numerical modeling can be used to analyze the complex relationship between stress, sleep, nutrition, and physical activity, which affect blood glucose levels. In future, blood glucose, sleep, and stress data will be integrated to predict appropriate lifestyle levels for blood glucose management. This integrated approach improves glucose control and overall wellbeing, potentially reducing societal costs. Korean Society for Exercise Nutrition 2023-09 2023-09-30 /pmc/articles/PMC10636508/ /pubmed/37946446 http://dx.doi.org/10.20463/pan.2023.0028 Text en Copyright © 2023 Korean Society for Exercise Nutrition https://creativecommons.org/licenses/by-nc/2.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/ (https://creativecommons.org/licenses/by-nc/2.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Kim, Young-Im Choi, Youngju Park, Jonghoon The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses |
title | The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses |
title_full | The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses |
title_fullStr | The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses |
title_full_unstemmed | The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses |
title_short | The role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses |
title_sort | role of continuous glucose monitoring in physical activity and nutrition management: perspectives on present and possible uses |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636508/ https://www.ncbi.nlm.nih.gov/pubmed/37946446 http://dx.doi.org/10.20463/pan.2023.0028 |
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