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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ACTIVE_NOT_RECRUITING
NA
57 participants
INTERVENTIONAL
2021-06-14
2026-06-30
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
OTHER
SINGLE
Study Groups
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HABIT Group
Participants randomized to the HABIT group will maintain their habitual eating schedule (≥13-h).
HABIT
The HABIT intervention will be administered and monitored via the study app. It combines self-monitoring behavior, positive reinforcement based on number of log entries, and basic lifestyle text messages. It also allows research staff to monitor in real-time, via the backend cloud, adherence to self-monitoring.
TRE Group
Participants randomized to TRE will reduce their eating window to a self-selected eating window (≤10-h).
TRE
The TRE intervention will be administered and monitored via the study app. It combines self-monitoring behavior, daily eating window reminders, positive reinforcement based on number of log entries or based on meeting eating widow target, and basic lifestyle text messages. It also allows research staff to monitor in real-time, via the backend cloud, adherence to self-monitoring, and to reducing the eating window.
Interventions
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TRE
The TRE intervention will be administered and monitored via the study app. It combines self-monitoring behavior, daily eating window reminders, positive reinforcement based on number of log entries or based on meeting eating widow target, and basic lifestyle text messages. It also allows research staff to monitor in real-time, via the backend cloud, adherence to self-monitoring, and to reducing the eating window.
HABIT
The HABIT intervention will be administered and monitored via the study app. It combines self-monitoring behavior, positive reinforcement based on number of log entries, and basic lifestyle text messages. It also allows research staff to monitor in real-time, via the backend cloud, adherence to self-monitoring.
Eligibility Criteria
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Inclusion Criteria
* BMI ≥25 and ≤45 kg/m2
* a diagnosis of prediabetes AND/OR fasting glucose 100 mg/dL and/or HbA1c 5.7% OR Type 2 Diabetes diet-controlled and/or treated with metformin AND meeting 2 or more of the following metabolic syndrome criteria:
* diagnosis of hypertension on stable medication regimen
* blood pressure \>120/\>80 mmHg
* A diagnosis of dyslipidemia on stable regimen
* triglycerides 150 mg/dL
* HDL cholesterol men \<40 mg/dL and women \<50 mg/dL
* waist circumference men: \>102 cm (\>40 in); women \>88 cm (\>35 in)
* in possession of a smart phone (iPhone or Android)
* 70% of days with logging adherence (2 or more log entries/day separated by at least 5h)
* Sleep duration 6-h, with habitual self-reported wake up time \>5AM and before 11 AM and average self reported bed time \<2AM
* habitually eat breakfast
* with weight stability within 5% of screening for the last 3 months
* English speaking (the App has not yet been translated)
* must live in the New York City metro area
Exclusion Criteria
* significant organ system dysfunction/disease: severe pulmonary, kidney or cardiovascular disease; evidence of active illness (e.g., fever)
* history of seizure disorder
* previous bariatric surgery or on weight loss medication
* history of or current significant food intake or psychiatric disorder
* use of dietary supplements and/or medications known to affect sleep, circadian rhythms or metabolic function
* smoking tobacco or using illegal or recreational drugs
* consume excessive alcohol (women: \>14 drinks/wk; men: \>21 drinks/wk)
* anemia (hemoglobin \<10 g/dl and hematocrit \<30%)
* have conditions that render individual unable to complete all testing procedures \[e.g., unable to stay overnight or frequent travel across 1 time zones\]
* extreme early and late chronotypes (\> 2AM bed time and wake up time before 5AM and \> 11AM)
* severe food allergies
* unwilling/unable to provide informed consent
50 Years
75 Years
ALL
No
Sponsors
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New York University
OTHER
Salk Institute for Biological Studies
OTHER
National Institute on Aging (NIA)
NIH
Columbia University
OTHER
Responsible Party
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Blandine Laferrere
Professor of Medicine
Principal Investigators
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Blandine Laferrère, M.D., Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Columbia University
Locations
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Columbia University
New York, New York, United States
Countries
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References
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Santos-Baez LS, Ravelli MN, Diaz-Rizzolo DA, Popp CJ, Gallagher D, Cheng B, Schoeller D, Laferrere B. Dietary misreporting: a comparative study of recalls vs energy expenditure and energy intake by doubly-labeled water in older adults with overweight or obesity. BMC Med Res Methodol. 2025 Apr 26;25(1):115. doi: 10.1186/s12874-025-02568-4.
Diaz-Rizzolo DA, Santos Baez LS, Popp CJ, Borhan R, Sordi-Guth A, Manoogian ENC, Panda S, Cheng B, Laferrere B. Late eating is associated with poor glucose tolerance, independent of body weight, fat mass, energy intake and diet composition in prediabetes or early onset type 2 diabetes. Nutr Diabetes. 2024 Oct 25;14(1):90. doi: 10.1038/s41387-024-00347-6.
Metzendorf MI, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database Syst Rev. 2024 Feb 20;2(2):CD013591. doi: 10.1002/14651858.CD013591.pub2.
Santos-Baez LS, Garbarini A, Shaw D, Cheng B, Popp CJ, Manoogian ENC, Panda S, Laferrere B. Time-restricted eating to improve cardiometabolic health: The New York Time-Restricted EATing randomized clinical trial - Protocol overview. Contemp Clin Trials. 2022 Sep;120:106872. doi: 10.1016/j.cct.2022.106872. Epub 2022 Aug 4.
Other Identifiers
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AAAS7791
Identifier Type: -
Identifier Source: org_study_id
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