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

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

doi:https://doi.org/10.1016/j.cct.2019.03.001

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

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

Department of Computer Science and Applied Mathematics

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

Abstract

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. The behavioral intervention is delivered via mobile health technology using the Social Cognitive Theory. Here, we describe the design, interventions, and methods used.

Original language	English
Pages (from-to)	80-88
Number of pages	9
Journal	Contemporary Clinical Trials
Volume	79
DOIs	https://doi.org/10.1016/j.cct.2019.03.001
State	Published - Apr 2019

All Science Journal Classification (ASJC) codes

Pharmacology (medical)

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Popp, C. J., St-Jules, D. E., Hu, L., Ganguzza, L., Illiano, P., Curran, M., Li, H., Schoenthaler, A., Bergman, M., Schmidt, A. M., Segal, E., Godneva, A., & Sevick, M. A. (2019). 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. Contemporary Clinical Trials, 79, 80-88. https://doi.org/10.1016/j.cct.2019.03.001

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title = "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",

abstract = "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. The behavioral intervention is delivered via mobile health technology using the Social Cognitive Theory. Here, we describe the design, interventions, and methods used.",

author = "Popp, {Collin J.} and St-Jules, {David E.} and Lu Hu and Lisa Ganguzza and Paige Illiano and Margaret Curran and Huilin Li and Antoinette Schoenthaler and Michael Bergman and Schmidt, {Ann Marie} and Eran Segal and Anastasia Godneva and Sevick, {Mary Ann}",

note = "This work was supported by Grant 17SFRN33590133 from the American Heart Association.",

year = "2019",

month = apr,

doi = "https://doi.org/10.1016/j.cct.2019.03.001",

language = "الإنجليزيّة",

volume = "79",

pages = "80--88",

journal = "Contemporary Clinical Trials",

issn = "1551-7144",

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Popp, CJ, St-Jules, DE, Hu, L, Ganguzza, L, Illiano, P, Curran, M, Li, H, Schoenthaler, A, Bergman, M, Schmidt, AM, Segal, E, Godneva, A & Sevick, MA 2019, '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', Contemporary Clinical Trials, vol. 79, pp. 80-88. https://doi.org/10.1016/j.cct.2019.03.001

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. / Popp, Collin J.; St-Jules, David E.; Hu, Lu et al.
In: Contemporary Clinical Trials, Vol. 79, 04.2019, p. 80-88.

Research output: Contribution to journal › Article › peer-review

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T1 - 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

AU - Popp, Collin J.

AU - St-Jules, David E.

AU - Hu, Lu

AU - Ganguzza, Lisa

AU - Illiano, Paige

AU - Curran, Margaret

AU - Li, Huilin

AU - Schoenthaler, Antoinette

AU - Bergman, Michael

AU - Schmidt, Ann Marie

AU - Segal, Eran

AU - Godneva, Anastasia

AU - Sevick, Mary Ann

N1 - This work was supported by Grant 17SFRN33590133 from the American Heart Association.

PY - 2019/4

Y1 - 2019/4

N2 - 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. The behavioral intervention is delivered via mobile health technology using the Social Cognitive Theory. Here, we describe the design, interventions, and methods used.

AB - 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. The behavioral intervention is delivered via mobile health technology using the Social Cognitive Theory. Here, we describe the design, interventions, and methods used.

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SN - 1551-7144

VL - 79

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EP - 88

JO - Contemporary Clinical Trials

JF - Contemporary Clinical Trials

ER -

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

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