ClinicalTrials.gg
CompletedNCT07805291TREUpdated Sep 4, 2026

Time Restricted Eating and Meal Frequency for Appetite Control

An interventional study of MT1 and MT2 in Obesity, Meal Frequency and Appetite, sponsored by University of Aberdeen. Completed at 1 site in United Kingdom. Open to participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-09-04.

Sponsored by University of Aberdeen · Not applicable, Interventional, and Health services research

From the registry’s dates

  • Registered 1 year 8 months after the study started (first participant enrolled Sep 2024, registered May 2026).
Phase
Not applicable
Study type
Interventional
Enrollment
12
Allocation
Randomized
Ages
18 Years to 65 Years
Sex
All
01

Study summary

Obesity is one of the largest worldwide health problems. There are increasing rates of overweight and obesity, and in recent years, worldwide the percentage of overweight and obesity among adults now exceeds 1.9 billion and 650 million, respectively. Overweight and obesity are associated with an increase risk of type 2 diabetes (T2D), coronary heart disease, hypertension and other non-communicable diseases. There are multiple nutritional causes for obesity, including both the type and amount of food consumed. Other non-nutritional factors can be just as important to influence body mass, such as the number of meals eaten, which is termed meal frequency. The changing food environment influences calorie consumption, such as increased food variety, increased availability and food processing, a nocturnal lifestyle that disrupts the circadian clock, meal timing and frequency, irregular meal patterns, and prolonged duration of eating during the day. This results in increased food and beverage consumption throughout the day. Meal frequency is commonly defined as, 'the number of foods or drinks a person consumes in one day. Meals and snacks are less clearly defined. Meal is defined as any food providing≥ 50 kcal and separated by more than one hour. In most cultures, the name meal is given to the three eating episodes in a day: breakfast, lunch, and dinner; or breakfast, brunch, lunch, supper, and dinner. In this study, the investigators will use the definition of "breakfast, brunch, lunch, supper, and dinner", but it will be on restricted time: 10 hours eating and 14 hours fasting (from 7:00 to 17:00) and one type of diet (high protein diet). Other researchers have defined meals by the time of the day, such as early and late breakfast, lunch and dinner intake. These definitions differ according to culture. Other researchers have defined meals based on timing, such as (6:00 am -10:00 am), (12:00 pm - 3:00 pm), and (6:00 pm - 9:00 pm). Some studies have highlighted that there are factors that affect the number of meals which a person consumes. Eating a high amount of energy during breakfast helps to feel full for a longer period. Time of eating and duration of eating or not eating. The type of macronutrient intake; for example, high protein (HP) intake reduces ad libitum energy intake. The number of meals eaten per day; some studies have confirmed that consuming small frequent meals is better for healthy weight and appetite control in the general population, compared to consuming one huge meal a day. This can assist control of appetite and plasma glucose concentrations. On the other hand, recent research has indicated that consuming (≥6 meals/day) increases disease risk significantly more than consuming (1-2 meals/day). Some researchers believe that there is no relationship between meal frequency and body weight.

Read the detailed description

Number of Participants:

10 adults (males and females) who have expressed an interest in taking part and meet the inclusion criteria. Should there be any withdrawals, the investigators will continue to replace participants until 10 have completed the trial.

The primary objective of this study was to explore the efficacy and physiological responses to a controlled time-restricted eating regime and dietary interventions (2 or 5 meals per day) on the participant's appetite response, measured with visual analogue scales (VAS). VAS is completed on test days (recorded at time points 0, 30, 60, 90, 120, 150 and 180 minutes) and on all other study days (recorded hourly during waking hours). The secondary objective is to compare the influence of dietary interventions (2 or 5 meals per day) on the following: plasma fasting blood glucose and 3 hours post-prandially after a standardized test meal. Analysed by KONE for timepoints 0 and 180 mins. Plasma fasting insulin and 3 hours post-prandially after a standardized test meal. Analysed by ELISA for timepoints 0 and 180 mins. Continuous glucose monitoring System (CGMS) on all study days to assess free-living glycaemic control in response to diet. All components of energy expenditure and substrate utilization are monitored by ventilated hood (indirect calorimetry) as resting metabolic rate (RMR, 30 minutes before eating breakfast); thermic effect of food (TEF postprandial 3 hours, measured 10 minutes every 30 minutes by the ventilated hood). Moreover, to assess changes in physical activity, with accelerometry on all study days and the Baecke Physical Activity Questionnaire (BPAQ) completed on each test day. To assess if meal frequency influences sleep, a sleep diary will be completed on all study days and the Epworth Sleepiness questionnaire (ESQ) completed on each test day. Finally, to assess if meal frequency influences body mass and body composition (fasted body weight measured on all food collection and test days), and fasted waist and hip circumferences and fat mass by bio-impedance analysis (BIA) measured on all test days.

A randomized crossover trial (RCT). Each participant will complete a 21 day study design as follows:

  • 7 days food diary (recording at home, habitual diet) [Days -6 to 0].
  • 2 days maintenance diet 1 (MT1) [Days 1-2].
  • Test Day on Day 3.
  • 4 days intervention weight loss diet (2MPD, 2 meals/day or 5MPD, 5 meals/day) [Days 3-6].
  • Test Day on Day 7.
  • 8 days washout period, no meals provided [Days 7-14].
  • 2 days maintenance diet 2 (MT2) [Days 15-16].
  • Test Day on Day 17.
  • 4 days intervention weight loss diet (5MPD, 5 meals/day or 2MPD, 2 meals/day) [Days 17-20].
  • Test Day on Day 21.

Study Diets:

During the screening visit, RMR was measured for each participant, and based on the results, each participant received a different meal portion. After receiving the RMR results for each participant, the kitchen staff at the Human Intervention Studies Unit (HISU) were emailed the participant number, RMR results, and the randomised diet they would start (2MPD or 5MPD), allowing the dietitian to assign the closest diet on the diet scales (1250, 1500, 1750, 2000, 2250 kcal). For example, if the RMR result for a volunteer were 1800 kcal, it would be put in the closest diet, 1750 kcal.

All food will be prepared at the Human Intervention Studies Unit (HISU), Rowett Institute.

This study will include two types of diet:

  • A maintenance diet (MT, 15:30:55% of energy from protein, fat and carbohydrate respectively). On days 1-2 (MT1) and 15-16 (MT2) this diet will be fed to meet measured energy requirements (1.5 x Resting Metabolic Rate, RMR).
  • A high protein (HP) intervention weight loss diet (WL, 30:35:35% of energy from protein, fat and carbohydrate respectively). On days 3-6 (WL1) and 17-20 (WL2) this will be fed to 100% resting metabolic rate. The food intake during the intervention periods will be randomized for two patterns fed between 07:00 to 17:00; five small meals per day (5MPD) and two large meals per day (2MPD). The protein in the diets will come from different sources like meat, poultry, fish, soy, and beans. In addition, all meals on the diets will contain equal proportions of protein so that the daily protein is not all consumed in one meal.

Study Measurements:

In total there will be nine study visits to the Human Intervention Studies Unit (HISU), Rowett Institute: one screening visit, which last approximately 2 hours, 4 visits for Test Days representing pre and post dietary phases (day 3rd, 7th, 17th, and 21st), which last approximately 4-5 hours, and 6 visits to collect food (day 1st, 3rd, 6th, 15th, 17th, and 20th), two of them are at the same day of Test Day, which last approximately 30 mins, except 2 visits will be 4-5 hours because it is the day of Test Days too. All visits details are described in the protocol. Researcher(s) carrying out the procedure: The study will be co-ordinated by a Research Team, consisting of Professor Alexandra Johnstone (PI), Prof Justin Rochford (CI), Ms Nouf Alkhattabi (PhD student), Claire Fyfe (Research Technician), David Bremner (Research Assistant), Claire Kidd (Research Assistant), Christina Petkov (Honorary Research Nurse).

Screening Visit:

The participant should already have a copy of the PIS in advance of the consent and screening visit should already have a good understanding of the study and have sufficient time to read it before this visit. After discussion, the consent should always be obtained before the health status and eligibility. n=10 to complete.

All measurements will be conducted after a fast from 10:00 pm the night before. Breakfast will be provided at the end of the screening visit.

Screening will continue until study completion and involves.

  • Completing written, informed consent paperwork (PIS and consent form).
  • A self-report general health screening questionnaire.
  • RMR measurement for calculation of energy requirements (ventilated hood).
  • Height and weight measurements to calculate body mass index (BMI).

The participants will then be given a 7-day weighed intake food diary and scales to take away with them to complete to establish their regular eating habits before the start of diet provision.

Test Day Visits (on Days 3, 7, 17 and 21):

All measurements will be conducted after a fast from 10pm the night before. On days 3 and 17 meals will be provided as breakfast, lunch, dinner, and snacks according to the intervention diet randomisation (2MPD or 5MPD), while on days 7 and 21 only breakfast will be provided.

  • Overnight fasted anthropometric measures

    • Body weight and body mass index (BMI) calculation.
    • Total body fat (TBF), fat mass (FM) and fat-free mass (FFM) by bio-impedance analysis (BIA).
    • Waist and hip circumferences measured using a tape measure.
    • Resting energy expenditure (RMR) will be measured for 30mins in fasting state by indirect calorimetry.
  • The blood samples will be collected by multiple venepuncture (T0 and T180mins).
  • Venepuncture for fasted blood sampling (one 4ml LiHep tube):

    • T0mins Glucose (1x500μl plasma in KONE cup).
    • T0mins Insulin (1x300μl plasma in 0.5ml Eppendorf).
    • T0mins LiHep Spare (2x300μl plasma in 1.5ml Eppendorf).

The total volume of blood taken will be as follows:

  • In each visit, 8ml will be taken for each participant.
  • The total blood taken for 4 visits will be 32ml for each participant.

    • Measure of fasted participant appetite by Visual Analogue Scales (VAS) at T0mins.
    • Consumption of intervention breakfast meal at T0.
    • After the test meal the thermic effect of food (TEF) will be calculated from indirect calorimetry measurements taken for the last 10 min of every 30 min up to 3 hours (T20, T50, T80, T110, T140 and T170mins).
    • Questionnaires:
  • A validated self-report questionnaire for physical activity Baecke Physical Activity Questionnaire (BPAQ) and the sedentary is categorized as, low, medium, or high.
  • Assessment of how meal frequency influences sleep using the Epworth Sleepiness questionnaire (ESQ).
  • Post-prandial measurement of participant appetite by VAS at T30, T60, T90, T120, T150 and T180mins.

    • Venepuncture for postprandial blood sampling (one 4ml LiHep tube):
  • T180mins Glucose (1x500μl plasma in 0.5ml KONE cup).
  • T180mins Insulin (1x300μl plasma in 0.5ml Eppendorf).
  • T180mins LiHep Spare (2x300μl plasma in 1.5ml Eppendorf).

    • Food diary recorded for the remainder of the day.

Other Measurements:

  • Continuous Glucose Monitoring System (CGMS) throughout the 3week study (two, 2week insertions per participant) using Freestyle Libre devices. Sensors record data for 14 days at a time. Freestyle Libre sensor: water resistant sensor (in up to 1m water for a maximum of 30mins) that continuously measures the glucose concentration in interstitial fluid, and stores 8 hours of data. Can be scanned by any mobile device capable of downloading the FreeStyle LibreLinkUp app. LibreLinkUp is compatible with Android and iOS smartphones which meet the following requirements: Android OS 6.0 (or higher) or iOS 11 (or higher) and an internet connection. Participants without a smartphone capable of using the app will be provided with a budget smartphone. Each sensor has a working life of 2 weeks. Participants will be supplied with the required number of sensors in order to complete the study. The FreeStyle Libre sensor is applied on to the back of the upper arm with a simple, disposable device called an applicator. When the sensor is applied, a thin, flexible and sterile fibre is inserted just under the skin. It is held in place with a small adhesive pad. In a study conducted by Abbott, users agreed that inserting the sensor was no more painful than a typical finger prick test. To obtain a glucose reading from this device, participants must perform a quick, painless 1-second scan of the reader over the sensor. This scan gives the investigators more information than monitoring with blood glucose test strips, without the need for routine finger pricks. Each scan of the reader over the sensor gives a current glucose reading, the last 8-hours of glucose history, and a trend arrow showing if glucose is going up, down, or changing slowly. The reader can scan through clothing.
  • Temporal changes in appetite using VAS questionnaires throughout the 2 intervention phases of the study. Questionnaires completed hourly during waking hours.
  • Composition of all meals consumed during the 3weeks study. Recorded by participants using weighback sheets and the food scales provided at the screening visit.
  • Physical activity levels recorded by Actigraph accelerometers. The actigraph provides data for energy expenditure per day, the intensity of the activity carried out taken when the monitor was worn.
  • Assessment of how meal frequency influences sleep. Hours slept will be calculated from the data recorded by the Actigraph accelerometers and from two, 7day sleep diaries with questions the participants will answer every morning of the intervention phases.
02

Conditions studied

  • Obesity
  • Meal Frequency
  • Appetite
  • Body Composition
  • Glycaemic Response
  • Time-restricted Eating

Keywords

  • Obesity
  • Meal Frequency
  • Appetite
  • Body Composition
  • Glycaemic Response
  • Time-restricted Eating
03

In context

Obesity

11,522 studies on the registry are indexed under Obesity; 2,033 are open to participants now.

This study's enrollment of 12 is below the median of 67 across 9,006 interventional studies indexed under Obesity.

Browse Obesity studies →

Lead sponsor

University of Aberdeen is the lead sponsor of 176 studies on the registry; 24 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Adults (males and females), age 18-65 years
  • Who are healthy but overweight or obese ( 25+ Kg/m2)
  • With no history of kidney disease or bariatric surgery
  • Not following any specific type of medical or religious diet
  • Not taking any drugs that affect the rate of physical activity or metabolic circulating
  • Not pregnant or breastfeeding.
  • With a fluent understanding of the English language

Exclusion criteria

Exclusion Criteria:

  • Anyone with a (in kg/m2) under 25
  • Anyone under 18 years or above 65 years.
  • Anyone taking the statins (current), aspirin or anti-coagulants (current).
  • Anyone with chronic inflammatory disorders such as rheumatoid arthritis or inflammatory bowel disease
  • Anyone with cardiovascular disease
  • Anyone with diabetes
  • Anyone who is are planning to be pregnant, are pregnant or breastfeeding
  • Anyone with food allergy, self-reported food sensitivity or intolerance
  • Anyone with coeliac disease or gluten intolerance
  • Anyone with a gastrointestinal disorder, kidney disease, liver disease or gout
  • Anyone taking medication which may affect appetite or circadian rhythm.
  • Anyone with an eating disorder
  • Anyone suffering from unregulated thyroid disease.
  • Anyone using Beta Blockers which can affect the rate of physical activity.
  • Anyone using some anti-depressants such as mirtazapine can affect the appetite.
  • Anyone following a vegetarian or vegan diet
  • Anyone following a weight loss programme (that may affect lifestyle, physical activity \& diet)
  • Anyone with unsuitable veins for blood sampling
  • Anyone who is unable to fluently speak, read and understand English
  • Anyone who is unable to comply with an alcohol-free diet for 3 weeks
  • Anyone consumption of nutrition supplements
  • Anyone has the intention to donate blood within 2 months of the study.
  • Anyone intending to travel away from Aberdeen during the intervention phase.
  • Anyone who is a shift worker.
  • Anyone who smokes including e-cigs or vaping.
  • Anyone recently participated in any other research studies during the last 4 weeks.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Single (Participant)
Enrollment
12 participants (actual)

Study arms

  • Experimental
    weight loss diet 1 (2MPD)

    Intervention weight loss diet 1 (2MPD, 2 meals/day) for 4 days

    Other: MT1 · Other: MT2

  • Experimental
    weight loss diet2 (5MPD)

    Intervention weight loss diet 2 (5MPD, 5 meals/day) for 4 days

    Other: MT1 · Other: MT2

Interventions

  • OtherMT1

    \- On days 1-2 (MT1) 15:30:55% of energy from protein, fat and carbohydrate respectively).

  • OtherMT2

    \- On days 16-17 (MT2) 15:30:55% of energy from protein, fat and carbohydrate respectively).

06

What researchers measure

Primary outcomes

  1. The participant's appetite response on the test day (day 3rd, 7th, 17th, and 21st)

    Measured with visual analogue scales (VAS).

    Time frame: On test days recorded at timepoints 0, 30, 60, 90, 120, 150 and 180 minutes. On all study days recorded hourly during waking hours. The straight line is 100 mm long, left side indicates low symptoms.

Secondary outcomes

  1. Plasma blood glucose on the test day (day 3rd, 7th, 17th, and 21st)

    The plasma fasting blood glucose and 180 minutes post-prandially after a standardized test meal which is analysed by KONE system.

    Time frame: The blood samples will be collected by multiple venepuncture before breakfast (T0 minutes) and post prandial (T180 minutes).

  2. Plasma blood insulin on the test day (day 3rd, 7th, 17th, and 21st)

    Plasma fasting blood insulin (T0 minutes) and (T180 minutes) post-prandially after a standardized test meal which analysed by ELISA.

    Time frame: The blood samples will be collected by multiple venepuncture before breakfast (T0 minutes) and post prandial (T180 minutes).

  3. Continuous glucose monitoring System (CGMS)

    The device measures the glucose levels during day over 7 days when it is worn and will enable us to determine the volunteer body's responses to the meals. Two CGMS sensors will be fitted during the study: * on the 1st day of the study (removed on study day 7). * on the 15th day of the study (removed on study day 21).

    Time frame: Day 1-7 and day 15-21 which correspond to weight loss diet periods.

  4. Resting Metabolic Rate (RMR) on test day (day 3rd, 7th, 17th, and 21st)

    All components of energy expenditure and substrate utilization are monitored by ventilated hood (indirect calorimetry).

    Time frame: Resting metabolic rate (RMR, 30 minutes before eating breakfast) on screening visit and Test Day (3, 7, 17, and 21).

  5. Thermic Effect of Food (TEF ) on test day (day 3rd, 7th, 17th, and 21st)

    All components of energy expenditure and substrate utilization are monitored by ventilated hood (indirect calorimetry).

    Time frame: Thermic effect of food (TEF post prandial 180 minutes, measured 10 minutes, every 30 minutes by ventilated hood; at 30, 60, 90, 10, 150, and 180 minutes) on Test Day 3, 7, 17, and 21.

  6. Physical activity (Actigraphy)

    To assess changes in physical activity with the accelerometery (Actigraphy).

    Time frame: - accelerometery (Actigraphy) on all study days, measured on days 1-7 and days 15-21).

  7. Physical activity (BPAQ)

    To assess changes in physical activity with the Baecke Physical Activity Questionnaire (BPAQ).

    Time frame: - the Baecke Physical Activity Questionnaire (BPAQ) completed tow times, on Day 3, 7, 17, and 21.

  8. Sleep (Actigraphy)

    To assess if meal frequency influences sleep using Actigraphy monitor.

    Time frame: Actigraphy worn on all study days (day 1-7 and day 15-21).

  9. Sleep

    To assess if meal frequency influences sleep using a sleep diary

    Time frame: A sleep diary completed on all study days (Day 1-7 and day 15-21).

  10. Sleep (ESQ)

    To assess if meal frequency influences sleep using the Epworth Sleepiness questionnaire (ESQ)

    Time frame: The Epworth Sleepiness questionnaire (ESQ) on all test days (Day 3, 7, 17, and 21).

  11. Body Weight

    Our study for measured the body weight used the OHAUS CD-11 scale to the nearest 0.1 kg.

    Time frame: Fasted body weight measured on all food collection (Day 1, 3, 6, 15, 17, and 20) and test days (Day 3, 7, 17, and 21).

  12. Hight

    The investigators used the Stadiometer (Seca 213) to the nearest 0.1 cm for height measurement.

    Time frame: Hight measured once only at screening visit to calculate BMI.

  13. Body Composition

    To measure the fat mass (kg) and fat-free (kg) mass by bio-impedance analysis (BIA)

    Time frame: BIA measure on test day (Day 3, 7, 17, and 21).

  14. Waist and Hip Circumference

    To assess waist and hip circumferences change measured using a tape measure, recorded in mm.

    Time frame: On test day (Day 3, 7, 17, and 21).

07

Study locations

1 site
  • University of Aberdeen, The Rowett Institute, Foresterhill
    Aberdeen, Aberdeen City AB25 2ZD, United Kingdom
08

References and documents

Publications

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  • St-Onge MP, Pizinger T, Kovtun K, RoyChoudhury A. Sleep and meal timing influence food intake and its hormonal regulation in healthy adults with overweight/obesity. Eur J Clin Nutr. 2019 Jul;72(Suppl 1):76-82. doi: 10.1038/s41430-018-0312-x. PubMed 30487565 ↗
  • Ruddick-Collins LC, Flanagan A, Johnston JD, Morgan PJ, Johnstone AM. Circadian Rhythms in Resting Metabolic Rate Account for Apparent Daily Rhythms in the Thermic Effect of Food. J Clin Endocrinol Metab. 2022 Jan 18;107(2):e708-e715. doi: 10.1210/clinem/dgab654. PubMed 34473293 ↗
  • Perrigue MM, Drewnowski A, Wang CY, Neuhouser ML. Higher Eating Frequency Does Not Decrease Appetite in Healthy Adults. J Nutr. 2016 Jan;146(1):59-64. doi: 10.3945/jn.115.216978. Epub 2015 Nov 11. PubMed 26561409 ↗
  • Onder G, Marengoni A, Russo P, Degli Esposti L, Fini M, Monaco A, Bonassi S, Palmer K, Marrocco W, Pozzi G, Sangiorgi D, Buda S, Marchionni N, Mammarella F, Bernabei R, Pani L, Pecorelli S; Geriatrics Working Group of the Italian Medicines Agency (Agenzia Italiana del Farmaco, AIFA); Medicines Utilization Monitoring Center Health Database Network. Advanced Age and Medication Prescription: More Years, Less Medications? A Nationwide Report From the Italian Medicines Agency. J Am Med Dir Assoc. 2016 Feb;17(2):168-72. doi: 10.1016/j.jamda.2015.08.009. PubMed 26441359 ↗
  • Chen YF, Dewey ME, Avery AJ; Analysis Group of The MRCCFA Study. The Medical Research Council Cognitive Function and Ageing Study (MRC CFAS). Self-reported medication use for older people in England and Wales. J Clin Pharm Ther. 2001 Apr;26(2):129-40. doi: 10.1046/j.1365-2710.2001.00333.x. PubMed 11350536 ↗
  • O'Connor SG, Reedy J, Graubard BI, Kant AK, Czajkowski SM, Berrigan D. Circadian timing of eating and BMI among adults in the American Time Use Survey. Int J Obes (Lond). 2022 Feb;46(2):287-296. doi: 10.1038/s41366-021-00983-3. Epub 2021 Oct 20. PubMed 34671108 ↗
  • Hampl JS, Heaton CL, Taylor CA. Snacking patterns influence energy and nutrient intakes but not body mass index. J Hum Nutr Diet. 2003 Feb;16(1):3-11. doi: 10.1046/j.1365-277x.2003.00417.x. PubMed 12581404 ↗
  • Oyeyemi AL, Moss SJ, Monyeki MA, Kruger HS. Measurement of physical activity in urban and rural South African adults: a comparison of two self-report methods. BMC Public Health. 2016 Sep 22;16(1):1004. doi: 10.1186/s12889-016-3693-6. PubMed 27658580 ↗
  • Smeets AJ, Westerterp-Plantenga MS. Acute effects on metabolism and appetite profile of one meal difference in the lower range of meal frequency. Br J Nutr. 2008 Jun;99(6):1316-21. doi: 10.1017/S0007114507877646. Epub 2007 Dec 6. PubMed 18053311 ↗
  • Anderson GH, Catherine NL, Woodend DM, Wolever TM. Inverse association between the effect of carbohydrates on blood glucose and subsequent short-term food intake in young men. Am J Clin Nutr. 2002 Nov;76(5):1023-30. doi: 10.1093/ajcn/76.5.1023. PubMed 12399274 ↗
  • Alhussain MH, Macdonald IA, Taylor MA. Impact of isoenergetic intake of irregular meal patterns on thermogenesis, glucose metabolism, and appetite: a randomized controlled trial. Am J Clin Nutr. 2022 Jan 11;115(1):284-297. doi: 10.1093/ajcn/nqab323. PubMed 34555151 ↗
  • Ohkawara K, Cornier MA, Kohrt WM, Melanson EL. Effects of increased meal frequency on fat oxidation and perceived hunger. Obesity (Silver Spring). 2013 Feb;21(2):336-43. doi: 10.1002/oby.20032. PubMed 23404961 ↗
  • Speechly DP, Buffenstein R. Greater appetite control associated with an increased frequency of eating in lean males. Appetite. 1999 Dec;33(3):285-97. doi: 10.1006/appe.1999.0265. PubMed 10625522 ↗
  • Speechly DP, Rogers GG, Buffenstein R. Acute appetite reduction associated with an increased frequency of eating in obese males. Int J Obes Relat Metab Disord. 1999 Nov;23(11):1151-9. doi: 10.1038/sj.ijo.0801046. PubMed 10578205 ↗
  • Correia JM, Santos I, Pezarat-Correia P, Minderico C, Mendonca GV. Effects of Intermittent Fasting on Specific Exercise Performance Outcomes: A Systematic Review Including Meta-Analysis. Nutrients. 2020 May 12;12(5):1390. doi: 10.3390/nu12051390. PubMed 32408718 ↗
  • Jones R, Pabla P, Mallinson J, Nixon A, Taylor T, Bennett A, Tsintzas K. Two weeks of early time-restricted feeding (eTRF) improves skeletal muscle insulin and anabolic sensitivity in healthy men. Am J Clin Nutr. 2020 Oct 1;112(4):1015-1028. doi: 10.1093/ajcn/nqaa192. PubMed 32729615 ↗
  • Paoli A, Tinsley G, Bianco A, Moro T. The Influence of Meal Frequency and Timing on Health in Humans: The Role of Fasting. Nutrients. 2019 Mar 28;11(4):719. doi: 10.3390/nu11040719. PubMed 30925707 ↗
  • Leech RM, Worsley A, Timperio A, McNaughton SA. Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality. Nutr Res Rev. 2015 Jun;28(1):1-21. doi: 10.1017/S0954422414000262. Epub 2015 Mar 19. PubMed 25790334 ↗
  • Garaulet M, Gomez-Abellan P, Alburquerque-Bejar JJ, Lee YC, Ordovas JM, Scheer FA. Timing of food intake predicts weight loss effectiveness. Int J Obes (Lond). 2013 Apr;37(4):604-11. doi: 10.1038/ijo.2012.229. Epub 2013 Jan 29. PubMed 23357955 ↗
  • Murakami K, Livingstone MB. Associations between Meal and Snack Frequency and Diet Quality in US Adults: National Health and Nutrition Examination Survey 2003-2012. J Acad Nutr Diet. 2016 Jul;116(7):1101-13. doi: 10.1016/j.jand.2015.12.012. Epub 2016 Feb 2. PubMed 26847912 ↗
  • Berg C, Forslund HB. The Influence of Portion Size and Timing of Meals on Weight Balance and Obesity. Curr Obes Rep. 2015 Mar;4(1):11-8. doi: 10.1007/s13679-015-0138-y. PubMed 26627086 ↗
  • Bachman JL, Phelan S, Wing RR, Raynor HA. Eating frequency is higher in weight loss maintainers and normal-weight individuals than in overweight individuals. J Am Diet Assoc. 2011 Nov;111(11):1730-4. doi: 10.1016/j.jada.2011.08.006. PubMed 22027056 ↗
  • Zimmerman AR, Johnson L, Brunstrom JM. Assessing "chaotic eating" using self-report and the UK Adult National Diet and Nutrition Survey: No association between BMI and variability in meal or snack timings. Physiol Behav. 2018 Aug 1;192:64-71. doi: 10.1016/j.physbeh.2018.03.024. Epub 2018 Mar 24. PubMed 29580954 ↗
  • Ha K, Song Y. Associations of Meal Timing and Frequency with Obesity and Metabolic Syndrome among Korean Adults. Nutrients. 2019 Oct 13;11(10):2437. doi: 10.3390/nu11102437. PubMed 31614924 ↗
  • Flanagan A, Bechtold DA, Pot GK, Johnston JD. Chrono-nutrition: From molecular and neuronal mechanisms to human epidemiology and timed feeding patterns. J Neurochem. 2021 Apr;157(1):53-72. doi: 10.1111/jnc.15246. Epub 2020 Dec 10. PubMed 33222161 ↗
  • Zeron-Rugerio MF, Diez-Noguera A, Izquierdo-Pulido M, Cambras T. Higher eating frequency is associated with lower adiposity and robust circadian rhythms: a cross-sectional study. Am J Clin Nutr. 2021 Jan 4;113(1):17-27. doi: 10.1093/ajcn/nqaa282. PubMed 33094802 ↗
  • Sjöholm, M., 2017. Does eating frequency correlate with overweight and obesity among Swedish men and women?
  • Sharma, Sarit, Sharma, Sumita, 2020. Obesity epidemic: Striking the younger age group. Med. J. Dr Patil Vidyapeeth 13, 333. https://doi.org/10.4103/mjdrdypu.mjdrdypu_307_19
  • Windisch, L., Andrade, J., 2017. The Effects a Traditional Meal Pattern vs. Small Frequent Meals has on Body Composition in Overweight and Obese Adults: A Systematic Review 1, 8.

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Undecided

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Sep 2024 to primary completion in Apr 2025, 7 months.

Of 3,680 non-industry interventional studies with no phase under Obesity, half reached primary completion within 23 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 43. This study's 7 months is below that.

Counting every sponsor, half of 3,843 studies reached it within 22 months; a quarter within 10 and three quarters within 42.

How these figures are worked out, and which studies are left out of them.

Registered
May 20, 2026
First posted
Sep 4, 2026
StartActual
Sep 12, 2024
Primary completionActual
Apr 14, 2025
CompletionActual
Aug 31, 2025
Last update
Sep 4, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 4, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07805291
Responsible party
Sponsor
First posted
Sep 4, 2026
Start date
Sep 12, 2024
Primary completion
Apr 14, 2025
Completion
Aug 31, 2025
Last update
Sep 4, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Feb 2025. You cannot join it, but the record below documents what was studied.

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Discussion

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