Exercise in the Therapy of Diabetes Mellitus

Schneider, Stephen H.; Bhambri, Rajiv

doi:10.1007/978-1-4757-6260-0_30

Cited by 1 publication

(2 citation statements)

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“…However, regarding weight loss, another review stated that there was no difference among combined, endurance, and resistance exercises in participants with T2DM [32]. Moreover, accumulating evidence reported that endurance exercise was more likely to be associated with greater BMI reduction and had a greater effect on the improvement of glucose control than resistance exercise [3][4][5][6]. In the current study, the mean BMI of included participants was 25.9 kg/m 2 with an SD of 3.6 at baseline, and they were identified as overweight and obese; thus, we chose endurance exercise as it is more popular in China [33].…”

Section: Discussionmentioning

confidence: 99%

“…Endurance exercise has been recommended as an effective intervention for the prevention and treatment of type 2 diabetes mellitus (T2DM) by several associations, such as the American College of Sports Medicine and the American Diabetes Association. Moreover [3,4], moderate endurance exercise with a target maximum heart rate (60-85%, submaximal exercise) is also recommended by the National Fitness Guidance for China and Chinese Diabetes Society for T2DM prevention and control [5,6]. However, the findings of randomized controlled trials (RCTs) regarding the impacts of exercise on the homeostasis model assessment of insulin resistance (HOMA-IR) index and glycated hemoglobin (HbA1c) levels remain inconsistent [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Endurance Exercise and Vitamin D Supplementation on Insulin Resistance and Plasma Lipidome in Middle-Aged Adults with Type 2 Diabetes

Sun

Yan

et al. 2023

Nutrients

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(1) Background: We investigated the effects of a 12-week exercise intervention with or without vitamin D supplementation on insulin resistance and the plasma lipidome of participants with type 2 diabetes. We further explored whether the effects of the intervention on glycemic parameters could be associated with the baseline lipidome. (2) Methods: Sixty-one participants were randomly allocated to control (Con), exercise (EX), vitamin D (VD), and EX + VD groups. Multiple glycemic and anthropometric parameters were evaluated before and after intervention. The homeostasis model assessment of insulin resistance (HOMA-IR) was the primary outcome. The plasma lipidome was analyzed before, after, and at an additional 12-week follow-up. Machine learning was applied to establish prediction models for responsiveness of glycemic control. (3) Results: Our interventions failed to improve the HOMA-IR index while fasting glucose was reduced in the EX + VD group (change%, −11.9%; effect size, 0.65; p < 0.05). Both EX and VD interventions altered the plasma lipidome, with EX + VD intervention considerably affecting levels of lyso-phosphatidylcholines and triglycerols containing long-chain unsaturated fatty acids. Such effects could last until 12 weeks after intervention. Notably, there was high inter-individual variability in glycemic parameters including HOMA-IR in response to the interventions, which could be predicted with great accuracy using an optimal panel of baseline lipid predictors alone or in combination with clinical indices, as assessed by an area under the receiver operating characteristic curve value of over 0.9. (4) Conclusions: Although substantial alterations were observed in the plasma lipidome related to glycemic control, our intervention failed to improve HOMA-IR scores, which may have been predominately due to the large inter-individual variability in responses. Basal plasma lipid levels could potentially predict an individual’s response to intervention, highlighting the necessity of personalized nutrition.

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