Vegetables and Glycemic Index: Exploring Their Correlation and Health Implications
Manish Kumar Singh1,2, Hyeong Rok Yun1,2, Jyotsna S Ranbhise1,2,3
1Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
Foods (Basel, Switzerland)
|November 13, 2025
Summary
Dietary fiber ratios in vegetables are better predictors of glycemic index (GI) than net carbohydrates. Incorporating these ratios can improve glycemic response management for conditions like diabetes.
Area of Science:
- Nutritional Science
- Metabolic Health
- Food Science
Background:
- Vegetables are globally consumed and provide essential nutrients, carbohydrates, and dietary fiber (DF).
- Simple sugars (hexoses) in vegetables significantly impact postprandial blood glucose and are critical for managing metabolic diseases.
- The influence of specific carbohydrate fractions on glycemic index (GI) and glycemic load (GL) remains underexplored.
Purpose of the Study:
- To analyze carbohydrate composition in vegetables, focusing on hexoses and fiber.
- To evaluate the effect of carbohydrate-to-fiber ratios on GI and GL.
- To determine more reliable predictors of glycemic response.
Main Methods:
- Retrospective analysis of carbohydrate data from 65 vegetables using public databases.
- Assessment of total carbohydrates (TC), hexoses, dietary starch (DS), total sugars (TS), and DF.
- Regression analysis to examine correlations between carbohydrate fractions, ratios, and GI.
Main Results:
- Fiber ratios proved more reliable GI predictors than net carbohydrate measures.
- Total carbohydrates (TC) showed the highest positive correlation with GI, especially when normalized to fiber.
- Total sugars (TS) exhibited a weak correlation with GI, while TC and DS ratios demonstrated stronger correlations.
Conclusions:
- Dietary fiber (DF) effectively buffers glycemic response (GR), supporting fiber ratios as stable GI predictors.
- Traditional net carbohydrate calculations may underestimate the impact of DF on glycemic response.
- Advocates for integrating carbohydrate-to-fiber ratios into GI estimation models for improved glycemic regulation insights.
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