Time Restricted Eating for Weight Management
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Time restricted eating (TRE) has become a popular weight loss regimen. The sudden rise in popularity of TRE is mostly likely due to is its sheer simplicity, and the fact that it does not require individuals to count calories in order to lose weight. Participants are simply asked to consume all food within a specified time frame and fast with energy free beverages for the remaining hours of the day. Evidence shows that when people with obesity limit their eating window to 6 to 8 hours per day, they naturally reduce energy intake by 350-500 calories. From a clinical standpoint, these findings are paramount. One of the main reasons for subject attrition with traditional dieting, i.e. daily calorie restriction (CR), is frustration with having to count calories every day. TRE regimens are able to side-step this requirement by allowing participants to simply "watch the clock" instead of monitoring calories, while still producing significant weight loss and metabolic health improvements. This feature of TRE has the potential to improve long-term adherence to the diet, and in turn produce lasting weight control in adults with obesity.
Accordingly, we conducted a one-year, randomized, controlled trial to compare the effects of late TRE (eating all food between 12:00 pm to 8:00 pm, without calorie counting), versus CR (25% energy restriction daily), and a control group eating over a period of 10 or more hours, on body weight and metabolic risk factors in a diverse group of American adults with obesity. We hypothesized that the TRE group would achieve greater weight loss, and experience more pronounced improvements in insulin sensitivity during the 6-month weight loss phase, compared to CR and control participants. We also hypothesized that the TRE group would better maintain their weight loss and sustain their improvements in insulin sensitivity during the 6-month weight maintenance phase, when compared to the CR and control participants.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Illinois
-
Chicago, Illinois, United States, 60612
- University of Illinois Chicago
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion criteria:
- Age between 18 to 65 years old
- BMI between 30 and 50 kg/m2
- Sedentary or lightly active (<60 minutes/week of light activity for the 3 months prior to the study)
Exclusion criteria:
- • Type 1 DM or Type 2 DM
- History of eating disorders (anorexia, bulimia, or binge eating disorder)
- Are not weight stable for 3 months prior to the beginning of study (weight gain or loss > 4 kg)
- Are not able to keep a food diary or activity log for 7 consecutive days during screening
- Are taking drugs that influence study outcomes (weight loss, glucose-lowering medications)
- Are perimenopausal or have an irregular menstrual cycle (menses that does not appear every 27-32 days)
- Are eating within less than a 10-hour window at baseline
- Are pregnant, or trying to become pregnant
- Are night shift workers
- Are smokers
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: 8-hour Time restricted eating
Ad libitum food intake from 12-8 pm every day Fasting from 8-12 pm every day (16-h fast)
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Ad libitum food intake from 12-8 pm every day Fasting from 8-12 pm every day (16-h fast)
|
|
Experimental: Calorie restriction
25% energy restriction every day
|
25% energy restriction every day
|
|
No Intervention: Control
Usual diet, Ad libitum intake, eating within >10 hours per day
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Body Weight
Time Frame: Measured at month 0 and 12
|
Measured by an electronic scale
|
Measured at month 0 and 12
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Fat Mass
Time Frame: Measured at month 0 and 12
|
Measured by DXA
|
Measured at month 0 and 12
|
|
Change in Insulin Resistance
Time Frame: Measured at month 0 12
|
Measured by Homeostatic Model Assessment of Insulin Resistance (HOMA-IR).
Values above 2.5 generally considered an indicator of insulin resistance.
Higher values indicate greater insulin resistance while lower values indicate lower insulin resistance.
HOMA-IR = [glucose (mmol/L) × insulin (μU/L)]/22.5.
|
Measured at month 0 12
|
|
Change in Insulin Sensitivity
Time Frame: Measured at month 0 and 12
|
Measured by Quantitative Insulin Sensitivity Check Index (QUICKI).
QUICKI calculated as = 1/[log (fasting insulin, U/ml) + log (fasting glucose, mg/dl)].
Higher scores (typically > 0.45) indicate high insulin sensitivity.
Lower scores (generally ≤ 0.33 or 0.34) indicate decreased insulin sensitivity and an increased risk for insulin resistance or type 2 diabetes.
|
Measured at month 0 and 12
|
|
Change in Fasting Glucose
Time Frame: Measured at month 0 and 12
|
Measured by a commercial lab (Medstar, IL)
|
Measured at month 0 and 12
|
|
Change in HbA1c
Time Frame: Measured at month 0 and 12
|
Measured by a commercial lab (Medstar, IL)
|
Measured at month 0 and 12
|
|
Change in Fasting Insulin
Time Frame: Measured at month 0 and 12
|
Measured by a commercial lab (Medstar, IL)
|
Measured at month 0 and 12
|
|
Change in Systolic Blood Pressure
Time Frame: Measured at month 0 and 12
|
Measured by a blood pressure cuff
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Measured at month 0 and 12
|
|
Change in Diastolic Blood Pressure
Time Frame: Measured at month 0 and 12
|
Measured by a blood pressure cuff
|
Measured at month 0 and 12
|
|
Change in LDL Cholesterol
Time Frame: Measured at month 0 and 12
|
Measured by a commercial lab (Medstar, IL)
|
Measured at month 0 and 12
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Krista Varady, PhD, University of Illinois at Chicago
Publications and helpful links
General Publications
- Lin S, Cienfuegos S, Ezpeleta M, Pavlou V, Runchey MC, Varady KA. Effect of time restricted eating versus daily calorie restriction on sex hormones in males and females with obesity. medRxiv [Preprint]. 2024 May 15:2024.05.15.24307415. doi: 10.1101/2024.05.15.24307415.
- Lin S, Cienfuegos S, Ezpeleta M, Gabel K, Pavlou V, Mulas A, Chakos K, McStay M, Wu J, Tussing-Humphreys L, Alexandria SJ, Sanchez J, Unterman T, Varady KA. Time-Restricted Eating Without Calorie Counting for Weight Loss in a Racially Diverse Population : A Randomized Controlled Trial. Ann Intern Med. 2023 Jul;176(7):885-895. doi: 10.7326/M23-0052. Epub 2023 Jun 27.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Nutrition Disorders
- Overnutrition
- Body Weight
- Overweight
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Signs and Symptoms
- Obesity
- Therapeutics
- Diet, Food, and Nutrition
- Physiological Phenomena
- Nutritional Physiological Phenomena
- Diet Therapy
- Nutrition Therapy
- Diet
- Energy Intake
- Caloric Restriction
Other Study ID Numbers
Other Study ID Numbers
- 2020-1512
- R01DK128180 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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