Review Article

Potatoes Consumption and Risk of Type 2 Diabetes: A Meta-analysis


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.


1. International Diabetes Federation. The country report, the IDF Atlas, 7th Edi-tion. 2015.
2. Zhang P, Zhang X, Brown J et al (2010). Global healthcare expenditure on diabe-tes for 2010 and 2030. Diabetes Res Clin Pract, 87(3): 293-301.
3. WHO Mortality Database (online database). Geneva: World Health Organization;
4. Alwan A, Alwan A (2011). Global status re-port on noncommunicable diseases 2010.
5. Halton TL, Willett WC, Liu S et al (2006). Potato and french fry consumption and risk of type 2 diabetes in women. Am J Clin Nutr, 83(2): 284-290.
6. Montonen J, Jarvinen R, Heliovaara M et al (2005). Food consumption and the inci-dence of type II diabetes mellitus. Eur J Clin Nutr, 59(3): 441-448.
7. Liu S, Serdula M, Janket SJ et al (2004). A prospective study of fruit and vegetable intake and the risk of type 2 diabetes in women. Diabetes Care, 27(12): 2993-2996.
8. AHermansen A, Forbes G (2012). Potato Production in China and Norway: Simi-larities, Differences and Future Challeng-es. Potato Research, 55(3-4):197-203.
9. Mcguire S (2011). U.S. Department of Agri-culture and U.S. Department of Health and Human Services, Dietary Guidelines for Americans, 2010. 7th Edition, Wash-ington, DC: U.S. Government Printing Office, January 2011. Adv Nutr, 2(3): 293-4.
10. McGill CR, Kurilich AC, Davignon J (2013). The role of potatoes and potato compo-nents in cardiometabolic health: a review. Ann Med, 45(7): 467-473.
11. Nayak B, Berrios J D J, Tang J (2014). Im-pact of food processing on the glycemic index (GI) of potato products. Food Res Int, 56:35-46.
12. Dtl K, Barclay A W, Brand-Miller J C et al (2017). Changes in dietary glycemic index and glycemic load in Australian adults from 1995 to 2012. Am J Clin Nutr, 106(1):189-198.
13. van Bakel MM, Kaaks R, Feskens EJ et al (2009). Dietary glycaemic index and gly-caemic load in the European Prospective Investigation into Cancer and Nutrition. Eur J Clin Nutr, 63 Suppl 4: S188-205.
14. Salmeron J, Manson JE, Stampfer MJ et al (1997). Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA, 277(6): 472-477.
15. Salmeron J, Ascherio A, Rimm EB et al (1997). Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care, 20(4): 545-550.
16. Livia S. A. Augustin, St. Michael's Hospital (2013). Glycaemic index in chronic dis-ease. Nutrafoods, 12(4):117-125.
17. Elamin M B, Garcia M Z, Murad M H, et al (2010). Effect of sex steroid use on car-diovascular risk in transsexual individuals: a systematic review and meta-analyses. Clin Endocrinol (Oxf), 72(1):1-10.
18. Muraki I, Rimm EB, Willett WC et al (2016). Potato Consumption and Risk of Type 2 Diabetes: Results From Three Prospec-tive Cohort Studies. Diabetes Care, 39(3): 376-384.
19. Larsson SC, Wolk A (2012). Red and pro-cessed meat consumption and risk of pancreatic cancer: meta-analysis of pro-spective studies. Br J Cancer, 106(3): 603-607.
20. Stang A (2010). Critical evaluation of the Newcastle-Ottawa scale for the assess-ment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol, 25(9): 603-605.
21. Cota GF, de Sousa MR, Fereguetti TO, Rabello A (2013). Efficacy of anti-leishmania therapy in visceral leishmania-sis among HIV infected patients: a sys-tematic review with indirect comparison. PLoS Negl Trop Dis, 7(5): e2195.
22. Dong JY, Zhang L, He K, Qin LQ (2011). Dairy consumption and risk of breast cancer: a meta-analysis of prospective cohort studies. Breast Cancer Res Treat, 127(1): 23-31.
23. 23.Wu L, Sun S, He Y, et al (2015). Effect of Smoking Reduction Therapy on Smoking Cessation for Smokers without an Inten-tion to Quit: An Updated Systematic Re-view and Meta-Analysis of Randomized Controlled Trials. Int J Environ Res Public Health, 12(9):10235-53.
24. Higgins JP, Thompson SG, Deeks JJ, et al (2003). Measuring inconsistency in meta-analyses. BMJ, 327(7414):557-560.
25. Coory MD (2010). Comment on: Heteroge-neity in meta-analysis should be expected and appropriately quantified. Int J Epidemi-ol, 39(3):932; author reply 933.
26. Dong JY, Zhang L, Zhang YH, Qin LQ (2011). Dietary glycaemic index and gly-caemic load in relation to the risk of type 2 diabetes: a meta-analysis of prospective cohort studies. Br J Nutr, 106(11): 1649-1654.
27. Dong JY, Qin LQ (2011). Dietary glycemic index, glycemic load, and risk of breast cancer: meta-analysis of prospective co-hort studies. Breast Cancer Res Treat, 126(2): 287-294.
28. Orsini N, Li R, Wolk A, et al (2012). Meta-Analysis for Linear and Nonlinear Dose-Response Relations: Examples, an Evalu-ation of Approximations, and Software. Am J Epidemiol, 175(1):66-73.
29. Muthuri S G, Mcwilliams D F, Doherty M, et al (2011). History of knee injuries and knee osteoarthritis: a meta-analysis of ob-servational studies. Osteoarthritis Cartilage, 19(11):1286-93.
30. Hodge AM, English DR, O'Dea K, Giles GG (2004). Glycemic index and dietary fiber and the risk of type 2 diabetes. Dia-betes Care, 27(11): 2701-6.
31. Villegas R, Liu S, Gao YT, Yang G, Li H, et al (2007). Prospective study of dietary carbohydrates, glycemic index, glycemic load, and incidence of type 2 diabetes mellitus in middle-aged Chinese women. Arch Intern Med, 167(21): 2310-6.
32. Feskens EJ, Virtanen SM, Rasanen L et al (1995). Dietary factors determining diabe-tes and impaired glucose tolerance. A 20-year follow-up of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetes Care, 18(8): 1104-1112.
33. Khosravi-Boroujeni H, Mohammadifard N, Sarrafzadegan N et al (2012). Potato con-sumption and cardiovascular disease risk factors among Iranian population. Int J Food Sci Nutr, 63(8): 913-920.
34. Bao W, Tobias DK, Hu FB, Chavarro JE, Zhang C (2016). Pre-pregnancy potato consumption and risk of gestational dia-betes mellitus: prospective cohort study. BMJ, 352: h6898.
35. Atkinson FS, Foster-Powell K, Brand-Miller JC (2008). International tables of glycemic index and glycemic load values: 2008. Di-abetes Care, 31(12): 2281-2283.
36. Riccardi G, Rivellese AA, Giacco R (2008). Role of glycemic index and glycemic load in the healthy state, in prediabetes, and in diabetes. Am J Clin Nutr, 87(1): 269S-274S.
37. Bhupathiraju SN, Tobias DK, Malik VS et al (2014). Glycemic index, glycemic load, and risk of type 2 diabetes: results from 3 large US cohorts and an updated meta-analysis. Am J Clin Nutr, 100(1): 218-232.
38. Ceriello A, Esposito K, Piconi L et al (2008). Oscillating glucose is more deleterious to endothelial function and oxidative stress than mean glucose in normal and type 2 diabetic patients. Diabetes, 57(5): 1349-1354.
39. Cook A (2013). Walnut consumption and type 2 diabetes risk: the importance of associations. Diabetes, 16(5):52-54.
40. Kolluru GK, Bir SC, Kevil CG (2012). En-dothelial dysfunction and diabetes: effects on angiogenesis, vascular remodeling, and wound healing. Int J Vasc Med, 2012: 918267.
41. Newsom JT, Huguet N, McCarthy MJ et al (2012). Health behavior change following chronic illness in middle and later life. J Gerontol B Psychol Sci Soc Sci, 67(3): 279-288.
42. Passos TU, Sampaio HADC, Sabry MOD et al (2015). Glycemic index and glycemic load of tropical fruits and the potential risk for chronic diseases. Food Sci Technol (Campinas), 35(1):66-73.
43. Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB (2011). Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med, 364(25): 2392-2404.
44. King JC, Slavin JL (2013). White potatoes, human health, and dietary guidance. Adv Nutr, 4(3):393S-401S.
45. Weatherburn CJ (2016). Complex lifestyle differences make study on potato con-sumption and risk of gestational diabetes difficult to interpret. BMJ, 352: i1189.
46. Tian J, Chen J, Ye X, Chen S (2016). Health benefits of the potato affected by domes-tic cooking: A review. Food Chem, 202: 165-175.
IssueVol 47 No 11 (2018) QRcode
SectionReview Article(s)
Type 2 diabetes Potatoes French fries

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How to Cite
ZHANG Y, YOU D, LU N, DUAN D, FENG X, ASTELL-BURT T, ZHU P, HAN L, DUAN S, ZOU Z. Potatoes Consumption and Risk of Type 2 Diabetes: A Meta-analysis. Iran J Public Health. 2018;47(11):1627-1635.