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Yvonne Granfeldt
Researcher at Lund University
Publications - 53
Citations - 5355
Yvonne Granfeldt is an academic researcher from Lund University. The author has contributed to research in topics: Starch & Glycemic index. The author has an hindex of 29, co-authored 53 publications receiving 5002 citations.
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Journal ArticleDOI
Improved glycemic control and lipid profile and normalized fibrinolytic activity on a low-glycemic index diet in type 2 diabetic patients.
TL;DR: A diet characterized by low-GI starchy foods lowers the glucose and insulin responses throughout the day and improves the lipid profile and capacity for fibrinolysis, suggesting a therapeutic potential in diabetes.
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Food properties affecting the digestion and absorption of carbohydrates.
TL;DR: This paper focuses on food properties in cereal and legume products that affect metabolic responses to starch and correlates well with glycemic and insulinemic indices for several starchy foods.
Journal ArticleDOI
An in vitro procedure based on chewing to predict metabolic response to starch in cereal and legume products
TL;DR: In this paper, a new method for measuring the rate of in-vitro starch digestion in products with a structure "as eaten" is introduced, where an equivalent amount of potentially available starch from each product was chewed by subjects, expectorated into a beaker and incubated with pepsin.
Journal Article
An in vitro procedure based on chewing to predict metabolic response to starch in cereal and legume products.
TL;DR: It is concluded that the presently described in-vitro procedure offers a good potential to predict the metabolic behaviour of starchy foods.
Journal ArticleDOI
Determination of the glycaemic index of foods: interlaboratory study.
Thomas M.S. Wolever,H H Vorster,Inger Björck,Janette C. Brand-Miller,Furio Brighenti,Jim Mann,D. Dan Ramdath,Yvonne Granfeldt,S. H. A. Holt,Tracy L. Perry,C Venter,Xiaomei Wu +11 more
TL;DR: The GI values of foods are more precisely determined using capillary than venous blood sampling, with mean between-laboratory s.d. of centre mean GI values reduced, suggesting ways to reduce within-subject variation of glycaemic responses may be the most effective strategy to improve the precision of measurement.