Literature DB >> 18326601

Glycemic index, glycemic load, and chronic disease risk--a meta-analysis of observational studies.

Alan W Barclay1, Peter Petocz, Joanna McMillan-Price, Victoria M Flood, Tania Prvan, Paul Mitchell, Jennie C Brand-Miller.   

Abstract

BACKGROUND: Inconsistent findings from observational studies have prolonged the controversy over the effects of dietary glycemic index (GI) and glycemic load (GL) on the risk of certain chronic diseases.
OBJECTIVE: The objective was to evaluate the association between GI, GL, and chronic disease risk with the use of meta-analysis techniques.
DESIGN: A systematic review of published reports identified a total of 37 prospective cohort studies of GI and GL and chronic disease risk. Studies were stratified further according to the validity of the tools used to assess dietary intake. Rate ratios (RRs) were estimated in a Cox proportional hazards model and combined by using a random-effects model.
RESULTS: From 4 to 20 y of follow-up across studies, a total of 40 129 incident cases were identified. For the comparison between the highest and lowest quantiles of GI and GL, significant positive associations were found in fully adjusted models of validated studies for type 2 diabetes (GI RR = 1.40, 95% CI: 1.23, 1.59; GL RR = 1.27, 95% CI: 1.12, 1.45), coronary heart disease (GI RR = 1.25, 95% CI: 1.00, 1.56), gallbladder disease (GI RR = 1.26, 95% CI: 1.13, 1.40; GL RR = 1.41, 95% CI: 1.25, 1.60), breast cancer (GI RR = 1.08, 95% CI: 1.02, 1.16), and all diseases combined (GI RR = 1.14, 95% CI: 1.09, 1.19; GL RR = 1.09, 95% CI: 1.04, 1.15).
CONCLUSIONS: Low-GI and/or low-GL diets are independently associated with a reduced risk of certain chronic diseases. In diabetes and heart disease, the protection is comparable with that seen for whole grain and high fiber intakes. The findings support the hypothesis that higher postprandial glycemia is a universal mechanism for disease progression.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18326601     DOI: 10.1093/ajcn/87.3.627

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  261 in total

Review 1.  Impact of postprandial glycaemia on health and prevention of disease.

Authors:  E E Blaak; J-M Antoine; D Benton; I Björck; L Bozzetto; F Brouns; M Diamant; L Dye; T Hulshof; J J Holst; D J Lamport; M Laville; C L Lawton; A Meheust; A Nilson; S Normand; A A Rivellese; S Theis; S S Torekov; S Vinoy
Journal:  Obes Rev       Date:  2012-07-11       Impact factor: 9.213

2.  Association between glycemic index, glycemic load, and fructose with insulin resistance: the CDC of the Canary Islands study.

Authors:  Santiago Domínguez Coello; Antonio Cabrera de León; María C Rodríguez Pérez; Carlos Borges Álamo; Lourdes Carrillo Fernández; Delia Almeida González; Jezabel García Yanes; Ana González Hernández; Buenaventura Brito Díaz; Armando Aguirre-Jaime
Journal:  Eur J Nutr       Date:  2010-04-25       Impact factor: 5.614

3.  Glycemic index and glycemic load of selected Chinese traditional foods.

Authors:  Ya-Jun Chen; Feng-Hua Sun; Stephen Heung-Sang Wong; Ya-Jun Huang
Journal:  World J Gastroenterol       Date:  2010-03-28       Impact factor: 5.742

Review 4.  Cancer risk associated with use of metformin and sulfonylurea in type 2 diabetes: a meta-analysis.

Authors:  Davide Soranna; Lorenza Scotti; Antonella Zambon; Cristina Bosetti; Guido Grassi; Alberico Catapano; Carlo La Vecchia; Giuseppe Mancia; Giovanni Corrao
Journal:  Oncologist       Date:  2012-05-29

Review 5.  Glycemic index, glycemic load and endometrial cancer risk: results from the Australian National Endometrial Cancer study and an updated systematic review and meta-analysis.

Authors:  Christina M Nagle; Catherine M Olsen; Torukiri I Ibiebele; Amanda B Spurdle; Penelope M Webb
Journal:  Eur J Nutr       Date:  2012-05-22       Impact factor: 5.614

6.  Assigning glycemic index to foods in a recent Australian food composition database.

Authors:  J C Y Louie; A W Barclay; J C Brand-Miller
Journal:  Eur J Clin Nutr       Date:  2015-10-28       Impact factor: 4.016

7.  Dietary contributors to glycemic load in the REasons for Geographic and Racial Differences in Stroke study.

Authors:  James M Shikany; Suzanne E Judd; Abraham J Letter; Jamy D Ard; P K Newby
Journal:  Nutrition       Date:  2014-12-20       Impact factor: 4.008

8.  Inhibition of starch digestion by the green tea polyphenol, (-)-epigallocatechin-3-gallate.

Authors:  Sarah C Forester; Yeyi Gu; Joshua D Lambert
Journal:  Mol Nutr Food Res       Date:  2012-10-05       Impact factor: 5.914

Review 9.  Mechanistic targeting of advanced glycation end-products in age-related diseases.

Authors:  Sheldon Rowan; Eloy Bejarano; Allen Taylor
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2018-08-29       Impact factor: 5.187

Review 10.  Saturated fat, carbohydrate, and cardiovascular disease.

Authors:  Patty W Siri-Tarino; Qi Sun; Frank B Hu; Ronald M Krauss
Journal:  Am J Clin Nutr       Date:  2010-01-20       Impact factor: 7.045

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.