Elsevier

Atherosclerosis

Volume 223, Issue 2, August 2012, Pages 491-496
Atherosclerosis

Glycemic load, glycemic index and risk of cardiovascular diseases: Meta-analyses of prospective studies

https://doi.org/10.1016/j.atherosclerosis.2012.05.028Get rights and content

Abstract

Objective

The objective of this study was to assess the relations between glycemic load (GL), glycemic index (GI) and the risk of fatal or nonfatal cardiovascular diseases (CVDs).

Methods

Prospective studies were identified by a comprehensive search of Pubmed, ISI web of Science, the Cochrane Library and EMBASE database, supplemented with manual searches through the reference lists of original publications and review articles. Relative risks (RRs) and 95% confidence intervals (CIs) were extracted and pooled using a random-effect model, and dose–response meta-analysis was performed by the method of generalized least-squares.

Results

Fourteen studies were identified, involving 229,213 participants and more than 11,363 cases. The pooled RRs of CVDs risk for the highest vs lowest categories of GL and GI were 1.23 (95% CI: 1.11–1.36) and 1.13 (95% CI: 1.04–1.22) respectively. Both the risk estimates of GL and GI for women (GL: RR = 1.35, 95% CI: 1.18–1.55; GI: RR = 1.19, 95% CI: 1.06–1.34) were higher than men (GL: RR = 1.10, 95% CI: 0.95–1.28; GI: RR = 1.05, 95% CI: 0.94–1.17). No heterogeneity or publication bias was detected. Dose-response meta-analysis found an increased RR of 1.18 (95% CI: 1.01–1.38, P = 0.033) per 50 unit increment of GL with cardiac event risk in Caucasians.

Conclusions

High GL and GI were associated with significant increased risk of CVDs, specifically for women.

Highlights

► A comprehensive literature retrieval. ► Prospective design of the studies. ► High GL and GI were associated with significant increased risk of CVDs, specifically for women. ► Significant dose–response for the association of GL with CVDs. ► No heterogeneity or publication biases were detected.

Introduction

Cardiovascular diseases (CVDs) are the major cause of death worldwide. It was estimated that CVDs (I00–I99; Q20–Q28) accounted for 34.3% (831,272) of all 2426,264 deaths in 2006, or 1 of every 2.9 deaths in the United States [1]. High intake of carbohydrates can cause hyperglycemia which has been a well-established risk factor for cardiovascular disease, raise plasma fasting triacylglycerol primarily by enhancing hepatic synthesis of VLDL, and can also reduce HDL, thus creating an adverse lipid profile, then eventually increase the risk of CVDs [2], [3].

Carbohydrates with different physical forms, chemical structures, particle sizes, and fiber contents induce distinct plasma glucose and insulin responses, thus, glycemic index (GI), a measure of the average propensity of carbohydrate in the diet to increase blood glucose, and glycemic load (GL), which is calculated by multiplying the GI of a food with its carbohydrate content and represents both quality and quantity of carbohydrates, were introduced [4], [5].

Findings from prospective cohort studies have examined the association between GL, GI and CVDs risk, but results have been inconsistent. The aim of this study was to evaluate the evidence of prospective studies on GL, GI and CVDs risk by summarizing it quantitatively with a meta-analytic approach.

Section snippets

Literature search

The study was conducted based on guidelines proposed by Meta-analysis of Observational Studies in Epidemiology group (MOOSE) and the PRISMA Statement [6], [7]. We conducted a systematic literature search (up to October 2011) for publications using Pubmed, ISI web of Science, the Cochrane Library and EMBASE databases, and supplemented with manual searches through the reference lists of original publications and review articles. The following terms were included in the retrieval: (glycemic load

Literature search

A flow-chart showing the study selection procedure is presented in Fig. 1. A total of 3523 potentially publications were identified through the systematically retrieval of Pubmed, ISI web of Science, the Cochrane Library and EMBASE databases and manual searches of the reference lists of original publications and review articles. Of these, most of them were excluded for duplication retrieval or after scanning the title and abstract. We reviewed the full-texts of the 17 potential publications, of

Discussion

This meta-analysis of 14 prospective studies found that diets with a high GL or GI are associated with a respectively 23% and 13% increased risk of CVDs, respectively. Both the risk estimates of GL and GI for women were higher than men. Furthermore, a significant dose–response trend was detected for per 50 unit increment of GL with cardiac event risk in Caucasians, especially for coronary heart disease. To the best of our knowledge, this should be the most informative meta-analysis specifically

Conclusions

In summary, this meta-analysis provides strong evidence that significant increased associations existed between GL, GI and risk of CVDs. Given the high prevalence and incidence of CVDs in the general population, the observed associations between GL, GI and CVDs risk have clinical and public health importance. Future studies should attempt to assess whether these associations are causal and focus on the exact mechanisms through which GL or GI might affect the development and onset of CVDs.

Conflict of interest

None declared.

Acknowledgments

This study was supported by a grant from National Natural Science Foundation of China (No. 30871060).

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    M-XY and L-JP contributed equally to this article and should be considered as co-first authors.

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