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  • 标题:Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: A Systematic Review and Updated Meta-Analyses of Prospective Cohort Studies
  • 本地全文:下载
  • 作者:Geoffrey Livesey ; Richard Taylor ; Helen F. Livesey
  • 期刊名称:Nutrients
  • 电子版ISSN:2072-6643
  • 出版年度:2019
  • 卷号:11
  • 期号:6
  • 页码:1280-1330
  • DOI:10.3390/nu11061280
  • 出版社:MDPI Publishing
  • 摘要:Published meta-analyses indicate significant but inconsistent incident type-2 diabetes (T2D)-dietary glycemic index (GI) and glycemic load (GL) risk ratios or risk relations (RR). It is now over a decade ago that a published meta-analysis used a predefined standard to identify valid studies. Considering valid studies only, and using random effects dose–response meta-analysis (DRM) while withdrawing spurious results (p 1.20 with a lower 95% confidence limit >1.10 across typical intakes (approximately 10th to 90th percentiles of population intakes). The combined T2D–GI RR was 1.27 (1.15–1.40) (p < 0.001, n = 10 studies) per 10 units GI, while that for the T2D–GL RR was 1.26 (1.15–1.37) (p < 0.001, n = 15) per 80 g/d GL in a 2000 kcal (8400 kJ) diet. The corresponding global DRM using restricted cubic splines were 1.87 (1.56–2.25) (p < 0.001, n = 10) and 1.89 (1.66–2.16) (p < 0.001, n = 15) from 47.6 to 76.1 units GI and 73 to 257 g/d GL in a 2000 kcal diet, respectively. In conclusion, among adults initially in good health, diets higher in GI or GL were robustly associated with incident T2D. Together with mechanistic and other data, this supports that consideration should be given to these dietary risk factors in nutrition advice. Concerning the public health relevance at the global level, our evidence indicates that GI and GL are substantial food markers predicting the development of T2D worldwide, for persons of European ancestry and of East Asian ancestry.
  • 关键词:glycemic index; glycemic load; dietary fiber; protein; alcohol; type 2 diabetes; cohort studies; epidemiology; meta-analysis glycemic index ; glycemic load ; dietary fiber ; protein ; alcohol ; type 2 diabetes ; cohort studies ; epidemiology ; meta-analysis
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