College of Health Solutions and Southwest Interdisciplinary Research Center, Arizona State University, Phoenix, AZ 85004, USA.
Department of Human Nutrition, University of Otago, Dunedin 9054, New Zealand.
Nutrients. 2018 Sep 22;10(10):1361. doi: 10.3390/nu10101361.
Despite initial enthusiasm, the relationship between glycemic index (GI) and glycemic response (GR) and disease prevention remains unclear. This review examines evidence from randomized, controlled trials and observational studies in humans for short-term (e.g., satiety) and long-term (e.g., weight, cardiovascular disease, and type 2 diabetes) health effects associated with different types of GI diets. A systematic PubMed search was conducted of studies published between 2006 and 2018 with key words glycemic index, glycemic load, diabetes, cardiovascular disease, body weight, satiety, and obesity. Criteria for inclusion for observational studies and randomized intervention studies were set. The search yielded 445 articles, of which 73 met inclusion criteria. Results suggest an equivocal relationship between GI/GR and disease outcome. The strongest intervention studies typically find little relationship among GI/GR and physiological measures of disease risk. Even for observational studies, the relationship between GI/GR and disease outcomes is limited. Thus, it is unlikely that the GI of a food or diet is linked to disease risk or health outcomes. Other measures of dietary quality, such as fiber or whole grains may be more likely to predict health outcomes. Interest in food patterns as predictors of health benefits may be more fruitful for research to inform dietary guidance.
尽管最初人们对此热情高涨,但血糖指数(GI)和血糖反应(GR)与疾病预防之间的关系仍不清楚。本综述考察了来自随机对照试验和人类观察性研究的证据,这些研究涉及不同类型的 GI 饮食与短期(例如饱腹感)和长期(例如体重、心血管疾病和 2 型糖尿病)健康影响之间的关系。使用关键词“血糖指数”、“血糖负荷”、“糖尿病”、“心血管疾病”、“体重”、“饱腹感”和“肥胖”,对 2006 年至 2018 年期间发表的研究进行了系统的 PubMed 搜索。为观察性研究和随机干预研究设定了纳入标准。搜索结果产生了 445 篇文章,其中 73 篇符合纳入标准。结果表明,GI/GR 与疾病结局之间的关系存在争议。最强的干预研究通常发现 GI/GR 与疾病风险的生理测量之间几乎没有关系。即使对于观察性研究,GI/GR 与疾病结局之间的关系也很有限。因此,食物或饮食的 GI 不太可能与疾病风险或健康结局相关。膳食纤维或全谷物等其他饮食质量指标可能更有可能预测健康结局。作为健康益处预测因子的食物模式的研究可能更有助于为饮食指导提供信息。