Bidel Zeinab, Teymoori Farshad, Davari Seyed Javad, Nazarzadeh Milad
Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran; The Collaboration Center of Meta-Analysis Research, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
Department of Clinical Nutrition and Dietetics, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Clin Nutr ESPEN. 2018 Oct;27:86-91. doi: 10.1016/j.clnesp.2018.06.004. Epub 2018 Jun 28.
BACKGROUND & AIMS: High potato intake has been suggested as a risk factor for the development of type 2 diabetes. We aimed to investigate the association between potato consumption and risk of type 2 diabetes.
A systematic review was conducted on PubMed and Embase from the database commencement until September 2017 (updated by June 2018) following the MOOSE guidelines. The random effect model dose-response meta-analysis method of Greenland and Longneck was used to estimate the maximally adjusted log hazard ratio (HR) for a unit (serving per day) increment of potato consumption. A restricted cubic spline model with three knots was used to evaluate the potential non-linear relationship.
A total of 3544 citations were retrieved from the databases, of which six prospective cohort studies including 4545230 person-year of follow-up and 17,758 diabetes cases met the inclusion criteria. The pooled dose-response HR per an increment of 1 serving/day of total potato consumption was 1.20 (95% CI 1.13 to 1.127, P < 0.001, I = 27.1%, P for heterogeneity = 0.23) both in men and women. The larger risk were observed for 2 serving/day (HR 1.44, 95% CI 1.28 to 1.63) and 3 serving/day (HR 1.74, 95% CI 1.45 to 2.09). We found significant evidence of a non-linear association between total potato consumption and risk of type 2 diabetes (X = 17.5, P for linearity < 0.001).
Long-term high consumption of potato (each serving a day increase) may be strongly associated with increased risk of diabetes. These findings suggest that diet-health policy may be of importance in the prevention of diabetes.
高土豆摄入量被认为是2型糖尿病发生的一个风险因素。我们旨在研究土豆消费与2型糖尿病风险之间的关联。
按照MOOSE指南，在PubMed和Embase数据库中从建库开始至2017年9月（2018年6月更新）进行了一项系统综述。采用Greenland和Longneck的随机效应模型剂量反应荟萃分析方法，估计土豆消费量每增加一个单位（每天一份）时最大调整后的对数风险比（HR）。使用具有三个节点的受限立方样条模型来评估潜在的非线性关系。
从数据库中检索到总共3544条引文，其中六项前瞻性队列研究，包括4545230人年的随访和17758例糖尿病病例符合纳入标准。男性和女性中，土豆总消费量每增加1份/天，汇总的剂量反应HR为1.20（95%CI 1.13至1.127，P<0.001，I=27.1%，异质性P=0.23）。每天食用2份（HR 1.44，95%CI 1.28至1.63）和3份（HR 1.74，95%CI 1.45至2.09）时观察到更大的风险。我们发现有显著证据表明土豆总消费量与2型糖尿病风险之间存在非线性关联（X=17.5，线性P<0.001）。
长期高土豆消费量（每天增加一份）可能与糖尿病风险增加密切相关。这些发现表明饮食健康政策在预防糖尿病方面可能很重要。
