ObesityTRENCT07805291
Time Restricted Eating and Meal Frequency for Appetite Control
A study testing MT1 and MT2 in people with Obesity and Meal Frequency, run by University of Aberdeen at 1 site in United Kingdom.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Obesity, Meal Frequency, Appetite
- What is being tested?
- MT1 and MT2
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 12 participants
- Where
- 1 siteUnited Kingdom
- Study dates
- 12 Sep 2024to 31 Aug 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Adults (males and females), age 18-65 years
- Who are healthy but overweight or obese (BMI 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
Who cannot join
- Anyone with a BMI (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
Show all 26Show fewer
- 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.
Trial locations and contacts
1 site in 1 country.
United Kingdom1 site
University of Aberdeen, The Rowett Institute, Foresterhill
Aberdeen, Aberdeen City, AB25 2ZD
About this study
Official title: Time-restricted Eating (TRE) and Meal Frequency to Influence Appetite Control in Adults With Overweight or Obesity: a Randomized Crossover Trial
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.
- Conditions
- Obesity, Meal Frequency, Appetite, Body Composition, Glycaemic Response, Time-restricted Eating
- Being tested
- MT1, MT2
- Keywords
- Obesity, Meal Frequency, Appetite, Body Composition, Glycaemic Response, Time-restricted Eating
- Medical subject headings
- Obesity, Intermittent Fasting
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
MT1Other
- On days 1-2 (MT1) 15:30:55% of energy from protein, fat and carbohydrate respectively).
MT2Other
- On days 16-17 (MT2) 15:30:55% of energy from protein, fat and carbohydrate respectively).
| Study group | Role | What they receive |
|---|---|---|
| weight loss diet 1 (2MPD) | Experimental | Intervention weight loss diet 1 (2MPD, 2 meals/day) for 4 days Receives: Other: MT1; Other: MT2 |
| weight loss diet2 (5MPD) | Experimental | Intervention weight loss diet 2 (5MPD, 5 meals/day) for 4 days Receives: Other: MT1; Other: MT2 |
What is being measured
The primary outcome is the main question the study is designed to answer.
The participant's appetite response on the test day (day 3rd, 7th, 17th, and 21st)
Measured with visual analogue scales (VAS).
Measured: 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 (14)
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.
Measured: The blood samples will be collected by multiple venepuncture before breakfast (T0 minutes) and post prandial (T180 minutes).
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.
Measured: The blood samples will be collected by multiple venepuncture before breakfast (T0 minutes) and post prandial (T180 minutes).
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).
Measured: Day 1-7 and day 15-21 which correspond to weight loss diet periods.
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).
Measured: Resting metabolic rate (RMR, 30 minutes before eating breakfast) on screening visit and Test Day (3, 7, 17, and 21).
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).
Measured: 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.
Physical activity (Actigraphy)
To assess changes in physical activity with the accelerometery (Actigraphy).
Measured: - accelerometery (Actigraphy) on all study days, measured on days 1-7 and days 15-21).
Physical activity (BPAQ)
To assess changes in physical activity with the Baecke Physical Activity Questionnaire (BPAQ).
Measured: - the Baecke Physical Activity Questionnaire (BPAQ) completed tow times, on Day 3, 7, 17, and 21.
Sleep (Actigraphy)
To assess if meal frequency influences sleep using Actigraphy monitor.
Measured: Actigraphy worn on all study days (day 1-7 and day 15-21).
Sleep
To assess if meal frequency influences sleep using a sleep diary
Measured: A sleep diary completed on all study days (Day 1-7 and day 15-21).
Sleep (ESQ)
To assess if meal frequency influences sleep using the Epworth Sleepiness questionnaire (ESQ)
Measured: The Epworth Sleepiness questionnaire (ESQ) on all test days (Day 3, 7, 17, and 21).
Body Weight
Our study for measured the body weight used the OHAUS CD-11 scale to the nearest 0.1 kg.
Measured: 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).
Hight
The investigators used the Stadiometer (Seca 213) to the nearest 0.1 cm for height measurement.
Measured: Hight measured once only at screening visit to calculate BMI.
Body Composition
To measure the fat mass (kg) and fat-free (kg) mass by bio-impedance analysis (BIA)
Measured: BIA measure on test day (Day 3, 7, 17, and 21).
Waist and Hip Circumference
To assess waist and hip circumferences change measured using a tape measure, recorded in mm.
Measured: On test day (Day 3, 7, 17, and 21).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Sep 2026
- Study start12 Sep 2024
- Primary completion14 Apr 2025
- Study completion31 Aug 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (30)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Crossover
- Model description
- Within subject design
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 12 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Aberdeen
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07805291
- Sponsor's protocol ID
- 2807965
- Other IDs
- 1GF1B20B2
- Acronym
- TRE
- Status last verified
- Feb 2025
- First submitted
- 20 May 2026
- Last updated
- 4 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Ravussin E, Beyl RA, Poggiogalle E, Hsia DS, Peterson CM. Early Time-Restricted Feeding Reduces Appetite and Increases Fat Oxidation But Does Not Affect Energy Expenditure in Humans. Obesity (Silver Spring). 2019 Aug;27(8):1244-1254. doi: 10.1002/oby.22518.
PubMed 31339000St-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 30487565Ruddick-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 34473293Perrigue 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 26561409Onder 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 26441359Chen 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 11350536O'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 34671108Hampl 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 12581404Oyeyemi 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 27658580Smeets 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 18053311Anderson 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 12399274Alhussain 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 34555151Ohkawara 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 23404961Speechly 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 10625522Speechly 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
Study at a glance
From the registry record, last updated by the sponsor on 4 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Time-restricted Eating (TRE) and Meal Frequency to Influence Appetite Control in Adults With Overweight or Obesity: a Randomized Crossover Trial
- ClinicalTrials.gov ID
- NCT07805291
- Acronym / sponsor ID
- TRE / 2807965
- Conditions
- Obesity, Meal Frequency, Appetite, Body Composition, Glycaemic Response, Time-restricted Eating
- Keywords
- Obesity, Meal Frequency, Appetite, Body Composition, Glycaemic Response, Time-restricted Eating
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 12 participants (actual)
- Lead sponsor
- University of AberdeenUniversity, hospital or other
- Study start
- 12 Sep 2024 (actual)
- Primary completion
- 14 Apr 2025 (actual)
- Study completion
- 31 Aug 2025 (actual)
- First posted
- 4 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- Single blind (participant)
- Number of arms
- 2
- Model description
- Within subject design
| Arm | Type | Receives |
|---|---|---|
| weight loss diet 1 (2MPD) | Experimental | Other: MT1, Other: MT2Intervention weight loss diet 1 (2MPD, 2 meals/day) for 4 days |
| weight loss diet2 (5MPD) | Experimental | Other: MT1, Other: MT2Intervention weight loss diet 2 (5MPD, 5 meals/day) for 4 days |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- Adults (males and females), age 18-65 years
- Who are healthy but overweight or obese (BMI 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
Key exclusion criteria (26 listed)
- Anyone with a BMI (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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| MT1- On days 1-2 (MT1) 15:30:55% of energy from protein, fat and carbohydrate respectively). | Other | weight loss diet 1 (2MPD), weight loss diet2 (5MPD) |
| MT2- On days 16-17 (MT2) 15:30:55% of energy from protein, fat and carbohydrate respectively). | Other | weight loss diet 1 (2MPD), weight loss diet2 (5MPD) |
Primary outcome
The participant's appetite response on the test day (day 3rd, 7th, 17th, and 21st)
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.
Measured with visual analogue scales (VAS).
14 secondary outcomes
Plasma blood glucose on the test day (day 3rd, 7th, 17th, and 21st)
Time frame: The blood samples will be collected by multiple venepuncture before breakfast (T0 minutes) and post prandial (T180 minutes).
Plasma blood insulin on the test day (day 3rd, 7th, 17th, and 21st)
Time frame: The blood samples will be collected by multiple venepuncture before breakfast (T0 minutes) and post prandial (T180 minutes).
Continuous glucose monitoring System (CGMS)
Time frame: Day 1-7 and day 15-21 which correspond to weight loss diet periods.
Resting Metabolic Rate (RMR) on test day (day 3rd, 7th, 17th, and 21st)
Time frame: Resting metabolic rate (RMR, 30 minutes before eating breakfast) on screening visit and Test Day (3, 7, 17, and 21).
Thermic Effect of Food (TEF ) on test day (day 3rd, 7th, 17th, and 21st)
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.
Physical activity (Actigraphy)
Time frame: - accelerometery (Actigraphy) on all study days, measured on days 1-7 and days 15-21).
Physical activity (BPAQ)
Time frame: - the Baecke Physical Activity Questionnaire (BPAQ) completed tow times, on Day 3, 7, 17, and 21.
Sleep (Actigraphy)
Time frame: Actigraphy worn on all study days (day 1-7 and day 15-21).
Sleep
Time frame: A sleep diary completed on all study days (Day 1-7 and day 15-21).
Sleep (ESQ)
Time frame: The Epworth Sleepiness questionnaire (ESQ) on all test days (Day 3, 7, 17, and 21).
Body Weight
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).
Hight
Time frame: Hight measured once only at screening visit to calculate BMI.
Body Composition
Time frame: BIA measure on test day (Day 3, 7, 17, and 21).
Waist and Hip Circumference
Time frame: On test day (Day 3, 7, 17, and 21).
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Sep 2026.
- Background: PubMed 31339000Ravussin E, Beyl RA, Poggiogalle E, Hsia DS, Peterson CM. Early Time-Restricted Feeding Reduces Appetite and Increases Fat Oxidation But Does Not Affect Energy Expenditure in Humans. Obesity (Silver Spring). 2019 Aug;27(8):1244-1254. doi: 10.1002/oby.22518.
- Background: PubMed 30487565St-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.
- Background: PubMed 34473293Ruddick-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.
- Background: PubMed 26561409Perrigue 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.
- Background: PubMed 26441359Onder 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.
- Background: PubMed 11350536Chen 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.
- Background: PubMed 34671108O'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.
- Background: PubMed 12581404Hampl 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.
- Background: PubMed 27658580Oyeyemi 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.
- Background: PubMed 18053311Smeets 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.
- Background: PubMed 12399274Anderson 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.
- Background: PubMed 34555151Alhussain 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.
- Individual participant dataSharing planned: Undecided
Related trials for Obesity
RecruitingPhase 4
Translational Health Research Into Vascular and Neurocognitive Effects of Weight Loss
Class I/II Obesity
Not yet recruitingObservational study
Assessing the Impact of Perceptions of Unpredictability on Objective Measures of Food Consumption and Metabolism
Healthy Volunteer, Obestity
RecruitingPhase 1/2
A Phase 1/2a Study of WVE-007 in Adults Living With Overweight or Obesity
Overweight and Obesity
Not yet recruitingPhase 4
Effects of Tirzepatide on Esophagogastric Junction Mechanics, Reflux Burden, and Gastric Physiology in Adults With Obesity
Obese Adults
Not yet recruitingObservational study
A Natural History of Genetic and Environmental Predictors of Pubertal Timing Among Youth With Obesity
Obesity
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing MT1 and MT2 in people with Obesity and Meal Frequency, run by University of Aberdeen at 1 site in United Kingdom.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 26 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 4 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United Kingdom. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The participant's appetite response on the test day (day 3rd, 7th, 17th, and 21st) (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.). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07805291, which also lists 30 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Sep 2026.