Zeinab Bidel1, Farshad Teymoori2, Seyed Javad Davari3, Milad Nazarzadeh4. 1. 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. 2. Department of Clinical Nutrition and Dietetics, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 3. Student Research Committee, School of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran. 4. The George Institute for Global Health, University of Oxford, Oxford, United Kingdom; The Collaboration Center of Meta-Analysis Research, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran. Electronic address: milad.nazarzadehlarzjan@georgeinstitute.ox.ac.uk.
Abstract
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. METHODS: 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. RESULTS: 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, I2 = 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 (X2 = 17.5, P for linearity < 0.001). CONCLUSION: 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.
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. METHODS: 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. RESULTS: 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, I2 = 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 (X2 = 17.5, P for linearity < 0.001). CONCLUSION: 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.
Authors: Belinda S Lennerz; Andrew P Koutnik; Svetlana Azova; Joseph I Wolfsdorf; David S Ludwig Journal: J Clin Invest Date: 2021-01-04 Impact factor: 14.808