The rationale and design of the personal diet study, a randomized clinical trial evaluating a personalized approach to weight loss in individuals with pre-diabetes and early-stage type 2 diabetes

Weight loss reduces the risk of type 2 diabetes mellitus (T2D) in overweight and obese individuals. Although the physiological response to food varies among individuals, standard dietary interventions use a “one-size-fits-all” approach. The Personal Diet Study aims to evaluate two dietary interventions targeting weight loss in people with prediabetes and T2D: (1) a low-fat diet, and (2) a personalized diet using a machine-learning algorithm that predicts glycemic response to meals. Changes in body weight, body composition, and resting energy expenditure will be compared over a 6-month intervention period and a subsequent 6-month observation period intended to assess maintenance effects.

Source: Contemporary Clinical Trials - March 3, 2019 Category: Radiology Authors: Collin J. Popp, David E. St-Jules, Lu Hu, Lisa Ganguzza, Paige Illiano, Margaret Curran, Huilin Li, Antoinette Schoenthaler, Michael Bergman, Ann Marie Schmidt, Eran Segal, Anastasia Godneva, Mary Ann Sevick Source Type: research