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Data from: Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations

dataset
posted on 2024-02-13, 13:25 authored by Huicui Meng, Nirupa R. Matthan, Lynne M. Ausman, Alice H. Lichtenstein

Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations

Background: The potential confounding effect of different amounts and proportions of macronutrients across eating patterns on meal or dietary glycemic index (GI) and glycemic load (GL) value determinations has remained partially unaddressed.

Objective: The study aimed to determine the effects of different amounts of macronutrients and fiber on measured meal GI and GL values.

Design: Four studies were conducted during which participants [n = 20–22; women: 50%; age: 50–80 y; body mass index (in kg/m2): 25–30)] received food challenges containing different amounts of the variable nutrient in a random order. Added to the standard 50 g available carbohydrate from white bread was 12.5, 25, or 50 g carbohydrate; 12.5, 25, or 50 g protein; and 5.6, 11.1, or 22.2 g fat from rice cereal, tuna, and unsalted butter, respectively, and 4.8 or 9.6 g fiber from oat cereal. Arterialized venous blood was sampled for 2 h, and measured meal GI and GL and insulin index (II) values were calculated by using the incremental area under the curve (AUCi) method.

Results: Adding carbohydrate to the standard white-bread challenge increased glucose AUCi (P < 0.0001), measured meal GI (P = 0.0066), and mean GL (P < 0.0001). Adding protein (50 g only) decreased glucose AUCi (P = 0.0026), measured meal GI (P = 0.0139), and meal GL (P = 0.0140). Adding fat or fiber had no significant effect on these variables. Adding carbohydrate (50 g), protein (50 g), and fat (11.1 g) increased the insulin AUCi or II; fiber had no effect.

Conclusions: These data indicate that uncertainty in the determination of meal GI and GL values is introduced when carbohydrate-containing foods are consumed concurrently with protein (equal amount of carbohydrate challenge) but not with carbohydrate-, fat-, or fiber-containing foods. Future studies are needed to evaluate whether this uncertainty also influences the prediction of average dietary GI and GL values for eating patterns. This trial was registered at clinicaltrials.gov as NCT01023646.


Resources in this dataset:

  • Resource Title: Supplemental Figures 1–5, Supplemental Tables 1–3 (docx).

    File Name: Web Page, url: https://academic.oup.com/ajcn/article/105/4/842/4569720#supplementary-data

    Supplemental Table 1. Profile of the food challenges in studies 1-3. Supplemental Table 2. Profile of the food challenges in study 4. Supplemental Table 3. Macronutrient content of white bread and foods with additional macronutrients and fiber. Supplemental Figure 1. Participant flow diagram of study 1. Supplemental Figure 2. Participant flow diagram of study 2. Supplemental Figure 3. Participant flow diagram of study 3. Supplemental Figure 4. Participant flow diagram of study 4. Supplemental Figure 5. Measured and calculated meal glycemic index and glycemic load and insulin index after consumption of glucose reference and white bread with different amounts of additional carbohydrate.

Funding

USDA: Agreement 58-1950-4-401

History

Data contact name

Lichtenstein, Alice H.

Publisher

American Journal of Clinical Nutrition

Intended use

To determine the effects of different amounts of macronutrients and fiber on measured meal dietary glycemic index (GI) and glycemic load (GL) values.

Theme

  • Not specified

ISO Topic Category

  • health

National Agricultural Library Thesaurus terms

eating habits; glycemic index; women; body mass index; carbohydrates; white bread; rice; tuna; butter; oats; blood; insulin; glucose; uncertainty; foods; prediction; carbohydrate metabolism; diabetes; nutritive value; dietary fiber; postprandial state; nutrition physiology

Primary article PubAg Handle

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Meng, H., Matthan, N. R., Ausman, L. M., & Lichtenstein, A. H. (2017). Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations, American Journal of Clinical Nutrition 105(4), 842–853. https://doi.org/10.3945/ajcn.116.144162

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