The Influence of Physical Activity and Carbohydrate Management on Glycemic Control in Type 1 Diabetes: Exploring the Potential of Artificial Intelligence in Diabetes Care

Purpose: Managing Type 1 Diabetes Mellitus (T1DM) involves balancing mental health, diet, and physical activity (PA). For T1DM patients, maintaining stable glucose levels is difficult due to the risk of both low blood sugar after meals (postprandial hypoglycemia) and complications from high blood sugar (hyperglycemia). This study explores how PA influences glucose regulation and examines carbohydrate intake strategies, control methods, and the potential role of artificial intelligence (AI) in diabetes management. Design/methodology/approach: A systematic review of studies on exercise, diet, and glycemic control in T1DM patients was conducted. Data from meta-analyses, randomized trials, and observational studies were sourced from PubMed, Google Scholar, and ResearchGate. Findings: Regular PA improves glycemic control, lowering glycated hemoglobin (HbA1c), insulin needs, and body mass index (BMI). Structured high-intensity exercise programs lasting over 24 weeks are particularly effective for glycemic control. However, fear of hypoglycemia and work schedules can be barriers. Aerobic exercise reduces visceral fat, while anaerobic exercise enhances glucose uptake and insulin sensitivity.

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Publication Details

Journal
Quality in Sport
Published
2025-05-05
DOI
https://doi.org/10.12775/qs.2025.41.60303
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

The Influence of Physical Activity and Carbohydrate Management on Glycemic Control in Type 1 Diabetes: Exploring the Potential of Artificial Intelligence in Diabetes Care

Katarzyna Bień, Adam Szafranek, Kamila Smala, Justyna Ostojewska et al.
Quality in Sport
Artificial Intelligence in Healthcare
article

The Influence of Physical Activity and Carbohydrate Management on Glycemic Control in Type 1 Diabetes: Exploring the Potential of Artificial Intelligence in Diabetes Care

Katarzyna Bień, Adam Szafranek, Kamila Smala, Justyna Ostojewska, Michał Popiel, Kamil Dziekoński, Iga Kwiecień, Karolina Bartoszewska, Iga Wieczorek, Paweł Cybulski, Wiktoria Wacławek
article en

Abstract

Purpose: Managing Type 1 Diabetes Mellitus (T1DM) involves balancing mental health, diet, and physical activity (PA). For T1DM patients, maintaining stable glucose levels is difficult due to the risk of both low blood sugar after meals (postprandial hypoglycemia) and complications from high blood sugar (hyperglycemia). This study explores how PA influences glucose regulation and examines carbohydrate intake strategies, control methods, and the potential role of artificial intelligence (AI) in diabetes management. Design/methodology/approach: A systematic review of studies on exercise, diet, and glycemic control in T1DM patients was conducted. Data from meta-analyses, randomized trials, and observational studies were sourced from PubMed, Google Scholar, and ResearchGate. Findings: Regular PA improves glycemic control, lowering glycated hemoglobin (HbA1c), insulin needs, and body mass index (BMI). Structured high-intensity exercise programs lasting over 24 weeks are particularly effective for glycemic control. However, fear of hypoglycemia and work schedules can be barriers. Aerobic exercise reduces visceral fat, while anaerobic exercise enhances glucose uptake and insulin sensitivity.

Quality in SportVol. 41
Openalex Percentile: Top 89%
Artificial Intelligence in Healthcare
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The Influence of Physical Activity and Carbohydrate Management on Glycemic Control in Type 1 Diabetes: Exploring the Potential of Artificial Intelligence in Diabetes Care — Katarzyna Bień, Adam Szafranek, et al. · Quality in Sport (2025) | TGRS Research Map | TGRS