Exercise‐induced improvement of glycemic fluctuation and its relationship with fat and muscle distribution in type 2 diabetes

Author:

Liu Dan1,Zhang Ying1,Wu Qian1,Han Rui1,Cheng Di1,Wu Liang1,Guo Jingyi2,Yu Xiangtian2,Ge Wenli1,Ni Jiacheng1,Li Yaohui3,Ma Tianshu4,Fang Qichen1,Wang Yufei1,Zhao Yan5,Zhao Yanan3,Sun Biao4,Li Huating1ORCID,Jia Weiping1ORCID

Affiliation:

1. Department of Endocrinology and Metabolism Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus Shanghai China

2. Clinical Research Center Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China

3. School of Sports Science and Physical Education Nanjing Normal University Nanjing China

4. Department of Kinesiology Nanjing Sport Institute Nanjing China

5. Department of Sports and Health Science Nanjing Sport Institute Nanjing China

Abstract

AbstractAimsManagement of blood glucose fluctuation is essential for diabetes. Exercise is a key therapeutic strategy for diabetes patients, although little is known about determinants of glycemic response to exercise training. We aimed to investigate the effect of combined aerobic and resistance exercise training on blood glucose fluctuation in type 2 diabetes patients and explore the predictors of exercise‐induced glycemic response.Materials and MethodsFifty sedentary diabetes patients were randomly assigned to control or exercise group. Participants in the control group maintained sedentary lifestyle for 2 weeks, and those in the exercise group specifically performed combined exercise training for 1 week. All participants received dietary guidance based on a recommended diet chart. Glycemic fluctuation was measured by flash continuous glucose monitoring. Baseline fat and muscle distribution were accurately quantified through magnetic resonance imaging (MRI).ResultsCombined exercise training decreased SD of sensor glucose (SDSG, exercise‐pre vs exercise‐post, mean 1.35 vs 1.10 mmol/L, p = .006) and coefficient of variation (CV, mean 20.25 vs 17.20%, p = .027). No significant change was observed in the control group. Stepwise multiple linear regression showed that baseline MRI‐quantified fat and muscle distribution, including visceral fat area (β = −0.761, p = .001) and mid‐thigh muscle area (β = 0.450, p = .027), were significantly independent predictors of SDSG change in the exercise group, as well as CV change.ConclusionsCombined exercise training improved blood glucose fluctuation in diabetes patients. Baseline fat and muscle distribution were significant factors that influence glycemic response to exercise, providing new insights into personalized exercise intervention for diabetes.image

Funder

Innovative Research Team of High-level Local University in Shanghai

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

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