The Role of Glycemic Index and Glycemic Load In Cardiovascular Disease And Its Risk Factors: A Review of The Recent Literature

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作者
Arash Mirrahimi
Laura Chiavaroli
Korbua Srichaikul
Livia S. A. Augustin
John L. Sievenpiper
Cyril W. C. Kendall
David J. A. Jenkins
机构
[1] St. Michael’s Hospital,Clinical Nutrition and Risk Factor Modification Center
[2] University of Toronto,Department of Nutritional Sciences, Faculty of Medicine
[3] Queen’s University,School of Medicine, Faculty of Health Sciences
[4] University of Ottawa,Faculty of Medicine
[5] McMaster University,Department of Pathology and Molecular Medicine, Faculty of Health Sciences
[6] University of Saskatchewan,College of Pharmacy and Nutrition
[7] University of Toronto,Department of Medicine, Faculty of Medicine
[8] St. Michael’s Hospital,Li Ka Shing Knowledge Institute
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关键词
Glycemic index; Glycemic load; Cardiovascular disease risk; Review;
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摘要
A number of meta-analyses of cohort studies have assessed the impact of glycemic load (GL) and glycemic index (GI) on cardiovascular outcomes. The picture that emerges is that for women, a significant association appears to exist between the consumption of high GL/GI diets and increased cardiovascular disease (CVD) risk. This association appears to be stronger in those with greater adiposity and possibly in those with diabetes, although these findings are not uniform. There is also an indication that raised CRP levels may be reduced, which has special implications for women whose CRP levels, as an emerging CVD risk factor, may be higher than men. For men, the situation is not as clear-cut. Although some studies show association, the meta-analyses have not demonstrated a significant direct association with CVD, despite current evidence that risk factors, including LDL-C, may be reduced on low-GI diets. Moreover, in a recent meta-analysis, increases in dietary GL have been associated with increased risk of diabetes, another CVD risk factor, in both men and women. Studies in men expressing relative risk of CVD in relation to GL and GI, with corresponding confidence intervals, are needed to provide the necessary power for future meta-analyses on this topic.
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