Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
269 participants
INTERVENTIONAL
2017-12-12
2021-10-27
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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mHealth
Personalized mHealth
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.
Personalized mHealth
mHealth
Behavioral weight loss intervention using behavioral counseling focusing on physical activity and a one-size-fits-all, calorie-restricted, diet.
Interventions
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mHealth
Behavioral weight loss intervention using behavioral counseling focusing on physical activity and a one-size-fits-all, calorie-restricted, diet.
Personalized mHealth
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
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Inclusion Criteria
* BMI ≥27 kg/m2
* Oral medications with metformin, sulfonylureas, DPP4 inhibitors
* Posses smartphone or use study loaner smartphone
Exclusion Criteria
* 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
* a eGFR \<60 mL/min/1.73m2
* younger than 18 or older than 80 years old.
18 Years
80 Years
ALL
Yes
Sponsors
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American Heart Association
OTHER
Weizmann Institute of Science
OTHER
NYU Langone Health
OTHER
Responsible Party
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Principal Investigators
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Mary Ann Sevick, ScD
Role: PRINCIPAL_INVESTIGATOR
NYU Langone Medical Center, Department of Population Health
Eran Segal, PhD
Role: PRINCIPAL_INVESTIGATOR
Weizmann Institute of Science, Department of Computer Science and Applied Mathematics
Locations
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New York University School of Medicine
New York, New York, United States
Countries
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References
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Kharmats 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.
Popp 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.
Popp 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.
Popp 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.
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. 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.
Other Identifiers
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17-00741
Identifier Type: -
Identifier Source: org_study_id
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