Literature DB >> 16469159

Towards understanding of glycaemic index and glycaemic load in habitual diet: associations with measures of glycaemia in the Insulin Resistance Atherosclerosis Study.

Elizabeth J Mayer-Davis1, Ashish Dhawan, Angela D Liese, Karen Teff, Mandy Schulz.   

Abstract

Epidemiologic studies have applied the glycaemic index (GI) and glycaemic load (GL) to assessments of usual dietary intake. Results have been inconsistent particularly for the association of GI or GL with diabetes incidence. We aimed to advance understanding of the GI and GL as applied to food frequency questionnaires (FFQ) by evaluating GI and GL in relation to plasma measures of glycaemia. Included were 1255 adults at a baseline examination (1994-6) and 813 who returned for the 5-year follow-up examination. Usual diet, at both examinations, was assessed by a validated FFQ. GI and GL were evaluated in relation to average fasting glucose (two measures at each examination) and 2 h post-75 g glucose load plasma glucose (baseline and follow-up), and glycated haemoglobin (A1c; follow-up only); using generalized linear models. Correlation coefficients (r) for GI and GL related to measures of glycaemia, adjusted for total energy intake, ranged from -0.004 to 0.04 (all NS) for both examinations. Adjustment for potential confounders, for fasting glucose in models for 2 h glucose (to model incremental glucose) and for average fasting glucose in models for A1c (to account, in part, for overnight endogenous glucose production) also did not materially alter findings, nor did inclusion of data from both examinations together in linear mixed models. The present results call into question the utility of GI and GL to reflect glycaemic response to food adequately, when used in the context of usual diet. Further work is needed to quantify usual dietary exposures relative to glucose excursion and associated chronic glycaemia and other metabolic parameters.

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Year:  2006        PMID: 16469159     DOI: 10.1079/bjn20051636

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  16 in total

1.  Glycemic index, glycemic load and their association with glycemic control among patients with type 2 diabetes.

Authors:  Maryam S Farvid; F Homayouni; M Shokoohi; A Fallah; Monir S Farvid
Journal:  Eur J Clin Nutr       Date:  2014-02-19       Impact factor: 4.016

2.  Dietary glycemic index and glycemic load and the risk of type 2 diabetes in older adults.

Authors:  Nadine R Sahyoun; Amy L Anderson; Frances A Tylavsky; Jung Sun Lee; Deborah E Sellmeyer; Tamara B Harris
Journal:  Am J Clin Nutr       Date:  2008-01       Impact factor: 7.045

3.  Carbohydrate nutrition and risk of adiposity-related cancers: results from the Framingham Offspring cohort (1991-2013).

Authors:  Nour Makarem; Elisa V Bandera; Yong Lin; Paul F Jacques; Richard B Hayes; Niyati Parekh
Journal:  Br J Nutr       Date:  2017-06-29       Impact factor: 3.718

4.  Targeting dietary fat or glycemic load in the treatment of obesity and type 2 diabetes: a randomized controlled trial.

Authors:  A N Fabricatore; T A Wadden; C B Ebbeling; J G Thomas; V A Stallings; S Schwartz; D S Ludwig
Journal:  Diabetes Res Clin Pract       Date:  2011-01-03       Impact factor: 5.602

Review 5.  Informing food choices and health outcomes by use of the dietary glycemic index.

Authors:  Chung-Jung Chiu; Simin Liu; Walter C Willett; Thomas Ms Wolever; Jennie C Brand-Miller; Alan W Barclay; Allen Taylor
Journal:  Nutr Rev       Date:  2011-03-01       Impact factor: 7.110

6.  Association of glycemic load with cardiovascular disease risk factors: the Women's Health Initiative Observational Study.

Authors:  James M Shikany; Lesley F Tinker; Marian L Neuhouser; Yunsheng Ma; Ruth E Patterson; Lawrence S Phillips; Simin Liu; David T Redden
Journal:  Nutrition       Date:  2010-01-06       Impact factor: 4.008

7.  A1C between 5.7 and 6.4% as a marker for identifying pre-diabetes, insulin sensitivity and secretion, and cardiovascular risk factors: the Insulin Resistance Atherosclerosis Study (IRAS).

Authors:  Carlos Lorenzo; Lynne E Wagenknecht; Anthony J G Hanley; Marian J Rewers; Andrew J Karter; Steven M Haffner
Journal:  Diabetes Care       Date:  2010-06-23       Impact factor: 19.112

8.  Fructose consumption: considerations for future research on its effects on adipose distribution, lipid metabolism, and insulin sensitivity in humans.

Authors:  Kimber L Stanhope; Peter J Havel
Journal:  J Nutr       Date:  2009-04-29       Impact factor: 4.798

9.  A prospective study of dietary carbohydrate quantity and quality in relation to risk of ovulatory infertility.

Authors:  J E Chavarro; J W Rich-Edwards; B A Rosner; W C Willett
Journal:  Eur J Clin Nutr       Date:  2007-09-19       Impact factor: 4.016

10.  Dietary carbohydrates and cardiovascular disease risk factors in the Framingham offspring cohort.

Authors:  Nicola M McKeown; James B Meigs; Simin Liu; Gail Rogers; Makiko Yoshida; Edward Saltzman; Paul F Jacques
Journal:  J Am Coll Nutr       Date:  2009-04       Impact factor: 3.169

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