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SYSTEMATIC REVIEW article

Front. Nutr.
Sec. Clinical Nutrition
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1458353

Effect of dietary glycemic index on insulin resistance in adults without diabetes mellitus: A systematic review and meta-analysis

Provisionally accepted
  • 1 Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
  • 2 National Taiwan University Hospital, Taipei, Taiwan
  • 3 Fu Jen Catholic University, New Taipei, Taiwan

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

    Low glycemic index (LoGI) diets are associated with decreased insulin resistance and are an effective strategy for patients with diabetes mellitus to control postprandial glucose levels. However, whether these effects on insulin resistance and glucose levels are also observable in those without diabetes mellitus is poorly understood. The present study examined the influence of LoGI diets compared with that of high glycemic index (HiGI) diets on insulin resistance in adults without diabetes mellitus. This meta-analysis included six randomized controlled trials involving 192 participants with a mean age of 52.5 years. A homeostasis model assessment of insulin resistance (HOMA-IR) score was calculated for each trial, and differences in HOMA-IR before and after each dietary intervention were calculated independently. The primary outcome was variations in insulin resistance, which was assessed by proxy as the difference between HOMA-IR scores at the beginning and end of the trials. The results suggested that LoGI diets decrease HOMA-IR scores to a greater extent than HiGI diets (estimate: 0.31; 95% confidence interval [CI], 0.01-0.61; P < 0.001) in individuals without diabetes mellitus. This association remained significant (estimate: 0.16; 95% CI, 0.01-0.31) after excluding one study with a short follow-up time (7 days). In conclusion, LoGI diets lower HOMA-IR scores to a greater extent than HiGI diets in adults without diabetes mellitus.

    Keywords: Blood Glucose, Glycemic Index, randomized controlled trial, Meta-analysis, Homeostasis model assessment of insulin resistance

    Received: 02 Jul 2024; Accepted: 30 Jan 2025.

    Copyright: © 2025 Yu, Fu, Chen, Fang and Tsai. 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: Ming Hsien Tsai, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan

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