A Personalized Diet Study to Reduce Glycemic Exposure
Personalized Technology-Supported Counseling to Reduce Glycemic Response in Dietary Weight Loss: The Personal Diet Study
1 other identifier
interventional
269
1 country
1
Brief Summary
The aim of this 2-phase, randomized clinical trial will be to examine the effects of two behavioral weight loss interventions on weight loss. This study will be conducted in 200 overweight or obese prediabetic individuals recruited from community-based settings.. Phase 1 will include 6-months of active intervention. Phase 2 will consist of 6-months of maintenance and observation. Measurements will occur at screening, baseline, 3, 6, and 12 months. Participants will be randomized with equal allocation to 2 groups: (1) a standardized behavioral weight loss intervention with a one-size-fits-all regimen that includes counseling about restriction of calories and calories from fat, and physical activity, delivered using mHealth technology, or (2) all of the elements of mHealth, plus personalized dietary recommendations to minimize glycemic response to meals. Participants will be required to attend 6 separate visits over both phases of the study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2017
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 6, 2017
CompletedFirst Posted
Study publicly available on registry
November 8, 2017
CompletedStudy Start
First participant enrolled
December 12, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
October 27, 2021
CompletedMarch 10, 2022
March 1, 2022
3.3 years
November 6, 2017
March 8, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
Body weight, percent change
the primary outcome will be relative weight change as a percentage of body weight at baseline and 6-months using calibrated scale.
6 months
Secondary Outcomes (3)
Body Composition
6 & 12 months
Metabolic Adaptation
6 & 12 months
Weight regain
12 months
Other Outcomes (4)
Glycemic variability (GV )
6 months
RAGE/AGE/S100/A8/A9
6 & 12 MONTHS
Adipokines
6 & 12 months
- +1 more other outcomes
Study Arms (2)
mHealth
ACTIVE COMPARATORPersonalized mHealth
EXPERIMENTALInterventions
Behavioral weight loss intervention using behavioral counseling focusing on physical activity and a one-size-fits-all, calorie-restricted, diet.
Behavioral weight loss intervention with personalized dietary recommendations based on machine learning algorithm that integrates gut microbiota, dietary intake, physical activity and various blood parameters to predict postprandial glycemic response.
Eligibility Criteria
You may qualify if:
- Healthy overweight or obese prediabetic (HbA1c \<8.0%)
- BMI ≥27 kg/m2
- Oral medications with metformin, sulfonylureas, DPP4 inhibitors
- Posses smartphone or use study loaner smartphone
You may not qualify if:
- unable or unwilling to provide informed consent
- unable to participate meaningfully in an intervention that involves self-monitoring using software available in English (e.g., due to uncorrected sight impairment, illiterate, non-English-speaking, dementia)
- unwilling to accept randomization assignment
- women who pregnant, or plan to become pregnant in the next 13 months, or who become pregnant during the study
- institutionalized (e.g., in a nursing home or personal care facility, or those who are incarcerated and have limited control over diet)
- unwilling to delay bariatric surgery for the next 12 months
- diagnosed with heart disease, kidney disease, or retinopathy, (to rule-out those with long-standing T2D)
- chronically active inflammatory or neoplastic disease in the past 3 years
- diagnosed with a chronic gastrointestinal disorder (e.g. inflammatory bowel disease or celiac disease)
- diagnosed with active infection requiring antibiotics in the last 3 months or who develop an active infection requiring antibiotics during the study
- taking medications containing acetaminophen and are unwilling or unable to discontinue its use during the study (acetaminophen affects the accuracy of the continuous glucose monitoring \[CGM\] device)
- taking chronic immunosuppressive medications or used them in the 3 months prior to participation, or during the study
- managing glycemia with insulin, GLP-I agonists (exenatide, liraglutide, lixisenatide, albiglutide, dulaglutide), insulin secretagogues (Glimepiride, Glipizide, Glyburide, Repaglinide, Nateglinide), or SGLT2 inhibitors (canagliflozin, dapagliflozin, empagliflozin, empagliflozin/metformin, dapagliflozin/metformin)
- prescribed medications expected to result in weight loss such as Orlistat, Naltrexone, Bupropion, Lorcaserin, Phentermine, Topiramate, or Liraglutide, and who are unwilling to delay treatment with these medications for the next 12 months
- +/- 5% weight change within last month at screening
- +2 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- NYU Langone Healthlead
- American Heart Associationcollaborator
- Weizmann Institute of Sciencecollaborator
Study Sites (1)
New York University School of Medicine
New York, New York, 10016, United States
Related Publications (6)
Berube LT, Wang C, Curran M, Pompeii ML, Hu L, Barua S, Li H, St-Jules DE, Schoenthaler A, Segal E, Bergman M, Popp CJ. Personalized dietary feedback mediates the association of dietary self-monitoring adherence and weight loss: a post-hoc analysis of the Personal Diet Study. J Nutr. 2026 Jan 13:101364. doi: 10.1016/j.tjnut.2026.101364. Online ahead of print.
PMID: 41539436DERIVEDKharmats AY, Popp C, Hu L, Berube L, Curran M, Wang C, Pompeii ML, Li H, Bergman M, St-Jules DE, Segal E, Schoenthaler A, Williams N, Schmidt AM, Barua S, Sevick MA. A randomized clinical trial comparing low-fat with precision nutrition-based diets for weight loss: impact on glycemic variability and HbA1c. Am J Clin Nutr. 2023 Aug;118(2):443-451. doi: 10.1016/j.ajcnut.2023.05.026. Epub 2023 May 24.
PMID: 37236549DERIVEDPopp CJ, Hu L, Kharmats AY, Curran M, Berube L, Wang C, Pompeii ML, Illiano P, St-Jules DE, Mottern M, Li H, Williams N, Schoenthaler A, Segal E, Godneva A, Thomas D, Bergman M, Schmidt AM, Sevick MA. Effect of a Personalized Diet to Reduce Postprandial Glycemic Response vs a Low-fat Diet on Weight Loss in Adults With Abnormal Glucose Metabolism and Obesity: A Randomized Clinical Trial. JAMA Netw Open. 2022 Sep 1;5(9):e2233760. doi: 10.1001/jamanetworkopen.2022.33760.
PMID: 36169954DERIVEDPopp CJ, Zhou B, Manigrasso MB, Li H, Curran M, Hu L, St-Jules DE, Aleman JO, Vanegas SM, Jay M, Bergman M, Segal E, Sevick MA, Schmidt AM. Soluble Receptor for Advanced Glycation End Products (sRAGE) Isoforms Predict Changes in Resting Energy Expenditure in Adults with Obesity during Weight Loss. Curr Dev Nutr. 2022 Mar 29;6(5):nzac046. doi: 10.1093/cdn/nzac046. eCollection 2022 May.
PMID: 35542387DERIVEDPopp CJ, Butler M, Curran M, Illiano P, Sevick MA, St-Jules DE. Evaluating steady-state resting energy expenditure using indirect calorimetry in adults with overweight and obesity. Clin Nutr. 2020 Jul;39(7):2220-2226. doi: 10.1016/j.clnu.2019.10.002. Epub 2019 Oct 14.
PMID: 31669004DERIVEDPopp 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. 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. Contemp Clin Trials. 2019 Apr;79:80-88. doi: 10.1016/j.cct.2019.03.001. Epub 2019 Mar 4.
PMID: 30844471DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Mary Ann Sevick, ScD
NYU Langone Medical Center, Department of Population Health
- PRINCIPAL INVESTIGATOR
Eran Segal, PhD
Weizmann Institute of Science, Department of Computer Science and Applied Mathematics
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 6, 2017
First Posted
November 8, 2017
Study Start
December 12, 2017
Primary Completion
April 1, 2021
Study Completion
October 27, 2021
Last Updated
March 10, 2022
Record last verified: 2022-03