Jaimie N Davis, Katie Nikah, Matthew J Landry, Sarvenaz Vandyousefi, Reem Ghaddar, Matthew Jeans, Michele Hockett Cooper, Bonnie Martin, Lyndsey Waugh, Shreela V Sharma, Alexandra E van den Berg
Effects of a School-Based Garden Program on Academic Performance: A Cluster Randomized Controlled Trial
Journal of the Academy of Nutrition and Dietetics
prediabetes risk assessment models derived large sample sizes scarce establish robust assessment model prediabetes validate model different populations china national diabetes metabolic disorders study cndmds collected information 47325 participants aged least 20 years across china 2007 2008 thyroid disorders iodine status diabetes epidemiological survey tide study collected data 66108 participants aged least 18 years across china 2015 2017 logistic model stepwise selection performed identify significant risk factors prediabetes internally validated bootstrapping cndmds external validations performed diverse populations including populations hispanic mexican american hispanic nonhispanic white black asian participants national health nutrition examination survey nhanes united states 66108 participants tide study china c statistics calibration plots adopted evaluate models discrimination calibration performance set easily measured indicators age education family history diabetes waist circumference body mass index systolic blood pressure selected significant risk factors risk assessment model established prediabetes c statistic 06998 95ci 06933 07063 calibration slope 10002 externally validated nhanes tide studies model showed increased c statistics mexican american hispanic nonhispanic black asian chinese populations slightly decreased c statistic nonhispanic white individuals applying risk assessment model tide population obtained c statistic 07308 95ci 07260 07357 calibration slope 11137 risk score derived assess prediabetes individuals scores 7 points high risk prediabetes sensitivity 6019 specificity 6759 easytouse assessment model prediabetes established internally externally validated different populations model satisfactory performance could screen individuals high risk prediabetes