International table of glycemic index and glycemic load values: 2002,
Open accessAbstract
Reliable tables of glycemic index (GI) compiled from the scientific literature are instrumental in improving the quality of research examining the relation between GI, glycemic load, and health. The GI has proven to be a more useful nutritional concept than is the chemical classification of carbohydrate (as simple or complex, as sugars or starches, or as available or unavailable), permitting new insights into the relation between the physiologic effects of carbohydrate-rich foods and health. Several prospective observational studies have shown that the chronic consumption of a diet with a high glycemic load (GI x dietary carbohydrate content) is independently associated with an increased risk of developing type 2 diabetes, cardiovascular disease, and certain cancers. This revised table contains almost 3 times the number of foods listed in the original table (first published in this Journal in 1995) and contains nearly 1300 data entries derived from published and unpublished verified sources, representing > 750 different types of foods tested with the use of standard methods. The revised table also lists the glycemic load associated with the consumption of specified serving sizes of different foods.
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In the updated glycaemic index database, ten different reference foods were counted for almost 1300 measurements.
“In the updated GI database (Foster-Powell et al. 2002), we counted ten different reference foods for almost 1300 measurements: glucose, bread, white bread, wholemeal barley bread, wheat chapatti, potato, rice, wheat and arepa (a Mexican starchy food).”
From Glycaemic index methodology (2005) · cites this paper as Foster-Powell et al. 2002
White bread from a certain local area may differ in glycaemic index compared with a common white bread from another area, as happened for the French white bread baguette.
“In contrast, white bread from a certain local area may differ in GI compared with a common white bread from another area, as happened for the French white bread baguette (Foster-Powell et al. 2002).”
From Glycaemic index methodology (2005) · cites this paper as Foster-Powell et al. 2002
The ability of glycaemic load to predict glycaemic responses has been tested, and GL values for many foods have been published.
“The ability of GL to predict glycaemic responses has been tested (Brand-Miller et al. 2003b), and GL values for a large number of foods have been published (Foster-Powell et al. 2002).”
From Glycaemic index methodology (2005) · cites this paper as Foster-Powell et al. 2002
Pasta generally has a lower glycemic impact than many other refined starch sources because of its compact structure and slower starch hydrolysis.
“Pasta is commonly consumed, is practical to standardize, and generally has a lower glycemic impact than many other refined starch sources because of its compact structure and slower starch hydrolysis [18,19].”
From Does Resistant Starch Formed by Cooling Pasta Decrease the Postprandial Glycemic Response in Type 1 Diabetes? A Randomized Single-Blind Crossover Study (2026) · cites this paper as [19]
Pasta typically induces a slower glycemic rise than many rice preparations because of its compact structure and slower starch hydrolysis.
“First, pasta typically induces a slower glycemic rise than many rice preparations because of its compact structure and slower starch hydrolysis [18,19].”
From Does Resistant Starch Formed by Cooling Pasta Decrease the Postprandial Glycemic Response in Type 1 Diabetes? A Randomized Single-Blind Crossover Study (2026) · cites this paper as [19]
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“Results of a preliminary study indicated that measured GI, based on a white bread standard (26), varied between diets when contrasting sources of carbohydrate were incorporated into mixed meals (data not shown).”
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- Authors
- Foster-Powell, K., Holt, S. H., & Brand-Miller, J. C.
- Affiliations
- The University of Sydney (AU)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2002-07
- Volume
- 76
- Issue
- 1
- Pages
- 5-56
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2144832958
- Cited by
- 3,080
- References
- 8
- Citations by year
- 2026: 47 · 2025: 73 · 2024: 76 · 2023: 85 · 2022: 109 · 2021: 131 · 2020: 166 · 2019: 134 · 2018: 135 · 2017: 148 · 2016: 171 · 2015: 159 · 2014: 199 · 2013: 177 · 2012: 188
- FWCI
- 63.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- glycemic index, glycemic load, carbohydrates, type 2 diabetes, cardiovascular disease, cancer risk, serving size, dietary carbohydrates
- MeSH terms
- Beverages, Blood Glucose, Dietary Carbohydrates, Food, Humans
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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