Skip to main content

REVIEW article

Front. Endocrinol.

Sec. Clinical Diabetes

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1560676

Optimal Dosage and Modality of Exercise on Glycemic Control in People with Prediabetes: A Systematic Review and Network Meta-analysis

Provisionally accepted
Xing Cheng Xing Cheng 1Lin Zhang Lin Zhang 2*hang Pei Cheng hang Pei Cheng 3Xue Li Xue Li 4Yong Yang Yong Yang 5Yuan Yuan Yuan Yuan 6
  • 1 School of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan Province, China
  • 2 West China Hospital Sichuan University Jintang Hospital, Chengdu, China
  • 3 Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan Province, China
  • 4 People's Hospital of Deyang City, Deyang, China
  • 5 School of Physical Education and Sport, Chaohu University, Chaohu, Anhui Province, China
  • 6 Department of Sport and Exercise Sciences, Kunsan National University, Gunsan, North Jeolla, Republic of Korea

The final, formatted version of the article will be published soon.

    Aims: This study aims at assessing the effects of different exercise types and their specific doses on glycemic control among individuals with prediabetes. Methods: Multiple databases were subjected to a comprehensive search for randomized controlled trials (RCTs) published until 15 July 2024. The study protocol was prospectively registered with PROSPERO (CRD42024573186). The exercise interventions analyzed included aerobic exercise (AE), resistance training (RT), and combined aerobic-resistance training (AE+RT). Outcomes were quantified using standardized mean difference (SMD) with 95% credible intervals (CrIs), employing the confidence in network meta-analysis (CINeMA) framework for Network Meta-Analysis for confirming the outcome reliability. Results: According to the network meta-analysis, irrespective of dose, AE+RT led to the largest decrease in fasting blood glucose (FBG) (-0.44, [-0.62 to -0.26]). AE alone resulted in the largest reductions in 2-hour post-meal blood glucose (2hPG) (-0.71, [-0.97 to -0.45]) and glycosylated hemoglobin A1c (HbA1c) (-0.30, [-0.37 to -0.22]).Dose-response (DR) analysis identified optimal doses for each exercise type: 880 metabolic equivalent of task minutes per week (METs-min/week) for both AE and RT and 800 METs-min/week for AE+RT to reduce FBG. The optimal dose for 2hPG improvement via AE was 1100 METs-min/week, and for HbA1c reduction via RT was 870 METs-min/week. Conclusions: Given the variety of impaired glucose regulation (IGR), we recommend that people with prediabetes engage in RT at 1100 METs-min/week to improve 2hPG and at 870 METs-min/week to reduce HbA1c. For FBG control, a dose of 800 METs-min/week is optimal for all exercise modalities. These evidence-based recommendations provide practical guidance for designing personalized exercise prescription to manage prediabetes.

    Keywords: Exercise, Dose-response relationship, prediabetes, glycemic control, Resistance Training

    Received: 14 Jan 2025; Accepted: 31 Mar 2025.

    Copyright: © 2025 Cheng, Zhang, Cheng, Li, Yang and Yuan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Lin Zhang, West China Hospital Sichuan University Jintang Hospital, Chengdu, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

    Research integrity at Frontiers

    Man ultramarathon runner in the mountains he trains at sunset

    95% of researchers rate our articles as excellent or good

    Learn more about the work of our research integrity team to safeguard the quality of each article we publish.


    Find out more