Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 47 11 2018 11 01 1627 1635 Yuanming ZHANG Dept. of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China Dingyun YOU Dept. of Science and Technology, Kunming Medical University, Kunming, China Nanjia LU Dept. of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China Donghui DUAN Dept. of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China Xiaoqi FENG Population Wellbeing and Environment Research Lab (Power Lab), Faculty of Social Sciences, University of Wollongong, NSW, 2522, Australia AND Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia AND Menzies Center for Health Policy, School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia Thomas ASTELL-BURT Population Wellbeing and Environment Research Lab (Power Lab), Faculty of Social Sciences, University of Wollongong, NSW, 2522, Australia AND Early Start Research Institute, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia AND Menzies Center for Health Policy, School of Public Health, University of Sydney, Sydney, NSW, 2006, Australia Pan ZHU Dept. of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China Liyuan HAN Dept. of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China Shiwei DUAN Dept. of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China Zuquan ZOU Dept. of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China 2018 10 29 Background: Evidence of increased type 2 diabetes (T2D) risk associated with potatoes consumption is equivocal. We aimed to perform a meta-analyses on the association between potatoes consumption and T2D risk in prospective cohort studies. Methods: Studies published prior to 31 Aug 2016 were identified in PubMed, EMBASE, and Web of Science. Pooled relative risks (RR) and 95% confidence intervals (95%CI) based upon the highest vs. lowest category of potatoes consumption in each study were calculated in meta-analysis using random-effects models. Dose-response meta-analysis was fitted using generalized least squares regression in order to quantify the association between potatoes consumption and T2D risk. Results: The pooled RR comparing the highest vs. lowest category of potato consumption was 1.077 (95%CI: 1.005, 1.155). Dose-response meta-analysis revealed T2D risk increased 3.5% (RR=1.035, 95% CI: 1.004-1.067) for additional three serving per week serving of potato. The pooled RR comparing the highest vs. lowest category of French fries consumption was 1.362 (95%CI: 1.004, 1.850). Dose-response meta-analysis indicated T2D risk increased 18.7% (RR = 1.187, 95% CI: 1.067-1.321) for additional three serving per week of French fries. Conclusion: This meta-analysis support a significant positive association between high potatoes consumption and risk of T2D, especially the consumption of French fries.   https://ijph.tums.ac.ir/index.php/ijph/article/view/15141 https://ijph.tums.ac.ir/index.php/ijph/article/download/15141/6187