ObesityDEPTHNCT06455995
Daily Eating Patterns for Total Health Study
A study testing DEPTH, DEPTH-Morning and DEPTH-Evening in people with Obesity, run by The University of Tennessee, Knoxville at 1 site in United States.
Trial summary
The goal of this randomized controlled trial is to learn how the time of day when calories are eaten affects weight loss in the long-term (12 months). The main aims are to learn: 1. The influence of time-based energy intake goals on longer-term weight loss. 2. Read more about this study
- Who is it for?
- Ages 25 to 60 years
- Conditions the study is for
- Obesity
- What is being tested?
- DEPTH, DEPTH-Morning and DEPTH-Evening
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 174 participants
- Where
- 1 siteUnited States
- Study dates
- 16 Jul 2024to Dec 2028
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
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 25 to 60 years
- All sexes
- No healthy volunteers
- Adult
Who may be able to join
- Body mass index (BMI) between 27 and 45 kg/m2.
Who cannot join
- Report not regularly (>/= 5 days/wk) consuming energy (>/= 100 kcal) prior to 12 pm, and not being able to consume energy every day (>/= 50 kcal) within one hour of awakening.
- Report taking sleep medication or not regularly (>/= 5 nights/wk) getting at least 6 hrs of total sleep.
- Report being a shift workers/alternative shift workers that work outside of 7 am and 7 pm.
- Report being diagnosed with type 1, or type 2 diabetes and taking medication that requires eating to occur at certain time periods.
- Report a heart condition, chest pain during periods of activity or rest, or loss of consciousness on the Physical Activity Readiness Questionnaire (PAR-Q). Individuals reporting joint problems, prescription medication usage, or other medical conditions that could limit exercise will be required to obtain written physician consent to participate.
- Report being unable to walk for 2 blocks (1/4 mile) without stopping.
Show all 12Show fewer
- Report major psychiatric diseases or organic brain syndromes.
- Report currently participating in a weight loss program and/or taking weight loss or appetite regulation medication or lost >/= 5% of body weight during the past 6 months.
- Report having bariatric surgery for weight loss/planning to have bariatric surgery in the next 12 months.
- Report being pregnant, lactating, < 6 months post-partum or plan to become pregnant (next 12 months).
- Report planning to move outside of the metropolitan area within the time frame of the investigation.
- Do not have daily access to PC with internet or smartphones (needed for self-monitoring).
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site, 1 recruiting
- Recruiting
Healthy Eating and Activity Laboratory
Knoxville, Tennessee, 37996
About this study
Official title: Effect of Time-based Energy Intake Goals on Weight Loss During Obesity Treatment
The goal of this randomized controlled trial is to learn how the time of day when calories are eaten affects weight loss in the long-term (12 months). The main aims are to learn:
- The influence of time-based energy intake goals on longer-term weight loss.
- The influence of time-based energy intake goals on eating temporal patterns, sleep regularity, and appetite regulation.
Read more
Researchers will compare whether goals to eat most of a person's calories in the morning or evening work to treat obesity.
Participants will:
- Eat a reduced-calorie, low-fat diet (some participants will have goals to eat their calories at certain times of day based on their group)
- Be physically active at least 200 minutes
- Receive a cognitive behavioral intervention
Read the detailed description
This randomized controlled trial investigates the longer-term (12 months) effect of time-based energy intake goals on weight loss. It also explores whether enhanced appetite regulation is a mediator of the relationship and if chronotype moderates the effect. Adults with overweight or obesity are randomly assigned to one of three, 12-month lifestyle interventions: 1) Morning; 2) Evening; or 3) Standard. All conditions receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. To minimize the effect of other eating temporal variables on outcomes, guidance on the eating window length and the number of eating occasions in the day are consistent across all three conditions. Thus, the three conditions are instructed to have their first eating occasion < 60 minutes of awakening, and eat their three meals and one snack within a 12-hr eating window. Morning group has time-based energy intake goals of 70% of kcal within the first 6 hrs of the eating window and 30% of kcal within the last 6 hrs of the eating window (a morning-loaded energy distribution). Evening group has the opposite time-based energy intake goals (an afternoon/evening-loaded energy distribution). Standard group receives no guidance on energy intake distribution (standard lifestyle intervention). Assessments occur at 0, 3, 6, and 12 months on anthropometrics, diet (24-hr recalls with time-stamped digital images verifying timing of intake, combined with continuous blood glucose monitoring [CGM] to objectively assess for length of the eating window and number of eating occasions), sleep regularity (actigraphy supported by sleep logs collected via ecological momentary assessment [EMA] using smartphones), appetite regulation assessed via EMA using smartphones, chronotype (self-reported midpoint of sleep on work-free days), and MVPA (actigraphy).
The primary aims are to determine:
- The influence of time-based energy intake goals on longer-term weight loss.
- The influence of time-based energy intake goals on eating temporal patterns, sleep regularity, and appetite regulation.
The exploratory aims are to consider:
- If appetite regulation mediates the relationship between time-based energy intake goals and weight loss.
- The moderating effect of chronotype on weight loss and changes in eating temporal patterns, sleep regularity, and appetite regulation in the three conditions.
- Conditions
- Obesity
- Being tested
- DEPTH, DEPTH-Morning, DEPTH-Evening
- Medical subject headings
- Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
DEPTHBehavioural
All conditions will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. To minimize the effect of other eating temporal variables on outcomes, guidance on the eating window length and the number of eating occasions in the day will be consistent across all three conditions. Thus, the three conditions will be instructed to have their first eating occasion < 60 minutes of awakening, and eat their three meals and one snack within a 12-hr eating window.
DEPTH-MorningBehavioural
Morning will also have time-based energy intake goals of 70% of kcal within the first 6 hrs of the eating window and 30% of kcal within the last 6 hrs of the eating window (a morning-loaded energy distribution).
DEPTH-EveningBehavioural
Evening will also have time-based energy intake goals of 30% of kcal within the first 6 hrs of the eating window and 70% of kcal within the last 6 hrs of the eating window (an evening-loaded energy distribution).
| Study group | Role | What they receive |
|---|---|---|
| DEPTH-Standard | Active comparator | Participants in the Standard Group will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. Standard group will receive no guidance on energy intake distribution (standard lifestyle intervention). Receives: Behavioral: DEPTH |
| DEPTH-Morning | Experimental | Participants in the Morning Group will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. They will also have time-based energy intake goals of 70% of kcal within the first 6 hrs of the eating window and 30% of kcal within the last 6 hrs of the eating window (a morning-loaded energy distribution). Receives: Behavioral: DEPTH; Behavioral: DEPTH-Morning |
| DEPTH-Evening | Experimental | Participants in the Evening Group will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. They will also have time-based energy intake goals of 30% of kcal within the first 6 hrs of the eating window and 70% of kcal within the last 6 hrs of the eating window (an evening-loaded energy distribution). Receives: Behavioral: DEPTH; Behavioral: DEPTH-Evening |
What is being measured
The primary outcome is the main question the study is designed to answer.
Percent Weight Change
Percent change in weight (weight change in lbs at follow up / baseline weight in lbs)
Measured: 0, 3, 6, and 12 months
Body Mass Index (BMI)
Change in BMI calculated as weight in kg / height in m2
Measured: 0, 3, 6, and 12 months
Secondary outcomes (6)
Dietary intake
Dietary intake will be assessed by 3 (2 weekdays and 1 weekend day), random, 24-hr dietary phone recalls, using the five-step, multiple-pass method
Measured: 0, 3, 6, and 12 months
Sleep
Hours of daily sleep objectively measured by accelerometry
Measured: 0, 3, 6, and 12 months
Appetite regulation
Time- and semi-random sampling will be initiated via a smartphone tone, prompting participants to complete ratings (i.e. hunger, fullness, temptation to eat, desire to eat, and control over eating), using 100 mm visual analogue scales
Measured: 0, 3, 6, and 12 months
Waist circumference
Change in waist circumference in inches
Measured: 0, 3, 6, and 12 months
Moderate- to vigorous-physical activity (MVPA)
Time in MVPA objectively measured by accelerometry
Measured: 0, 3, 6, and 12 months
Chronotype
An individuals' circadian state (phase relationship between the circadian system of an individual and the zeitgeber cycle) measured via the shortened version of the Munich ChronoType Questionnaire
Measured: 0, 3, 6, and 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Jun 2024
- Study start16 Jul 2024
- Primary completionDec 2028 (estimated)
- Study completionDec 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (10)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
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 174 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The University of Tennessee, Knoxville
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Hollie Raynor, The University of Tennessee, Knoxville
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06455995
- Sponsor's protocol ID
- UTK IRB-23-07697-XP
- Acronym
- DEPTH
- Status last verified
- Jun 2026
- First submitted
- 6 Jun 2024
- Last updated
- 15 Jun 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Types and amount of scientific data expected to be generated in the project: Demographic, anthropometric, dietary intake, sleep and physical activity from actigraphy, appetite regulation collected via ecological momentary assessment, and chronotype data will be collected from 174 adults with overweight or obesity (described in detail in section c.3. of this application) at four time points (0, 3, 6, and 12 months). Raw data will be transformed by processing software (diet and actigraphy) and will generate 4 data sets (data organized by timepoint), which will be no more than 100 gigabytes. These four data sets will be used for statistical analyses and be placed in the repository. All data will be de-identified prior to receipt by the repository, and individual-level data will be made available for sharing.
Publications
Yong YN, Henry CJ, Haldar S. Is There a Utility of Chrono-Specific Diets in Improving Cardiometabolic Health? Mol Nutr Food Res. 2022 Sep;66(17):e2200043. doi: 10.1002/mnfr.202200043. Epub 2022 Jul 20.
PubMed 35856629Salgado-Delgado R, Tapia Osorio A, Saderi N, Escobar C. Disruption of circadian rhythms: a crucial factor in the etiology of depression. Depress Res Treat. 2011;2011:839743. doi: 10.1155/2011/839743. Epub 2011 Aug 8.
PubMed 21845223Petersen MC, Gallop MR, Flores Ramos S, Zarrinpar A, Broussard JL, Chondronikola M, Chaix A, Klein S. Complex physiology and clinical implications of time-restricted eating. Physiol Rev. 2022 Oct 1;102(4):1991-2034. doi: 10.1152/physrev.00006.2022. Epub 2022 Jul 14.
PubMed 35834774Wang JB, Patterson RE, Ang A, Emond JA, Shetty N, Arab L. Timing of energy intake during the day is associated with the risk of obesity in adults. J Hum Nutr Diet. 2014 Apr;27 Suppl 2:255-62. doi: 10.1111/jhn.12141. Epub 2013 Jun 27.
PubMed 23808897Hermenegildo Y, Lopez-Garcia E, Garcia-Esquinas E, Perez-Tasigchana RF, Rodriguez-Artalejo F, Guallar-Castillon P. Distribution of energy intake throughout the day and weight gain: a population-based cohort study in Spain. Br J Nutr. 2016 Jun;115(11):2003-10. doi: 10.1017/S0007114516000891. Epub 2016 Apr 5.
PubMed 27044416Maukonen M, Kanerva N, Partonen T, Mannisto S. Chronotype and energy intake timing in relation to changes in anthropometrics: a 7-year follow-up study in adults. Chronobiol Int. 2019 Jan;36(1):27-41. doi: 10.1080/07420528.2018.1515772. Epub 2018 Sep 13.
PubMed 30212231Keim NL, Van Loan MD, Horn WF, Barbieri TF, Mayclin PL. Weight loss is greater with consumption of large morning meals and fat-free mass is preserved with large evening meals in women on a controlled weight reduction regimen. J Nutr. 1997 Jan;127(1):75-82. doi: 10.1093/jn/127.1.75.
PubMed 9040548Jakubowicz D, Barnea M, Wainstein J, Froy O. High caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women. Obesity (Silver Spring). 2013 Dec;21(12):2504-12. doi: 10.1002/oby.20460. Epub 2013 Jul 2.
PubMed 23512957Rabinovitz HR, Boaz M, Ganz T, Jakubowicz D, Matas Z, Madar Z, Wainstein J. Big breakfast rich in protein and fat improves glycemic control in type 2 diabetics. Obesity (Silver Spring). 2014 May;22(5):E46-54. doi: 10.1002/oby.20654. Epub 2013 Dec 6.
PubMed 24311451Lombardo M, Bellia A, Padua E, Annino G, Guglielmi V, D'Adamo M, Iellamo F, Sbraccia P. Morning meal more efficient for fat loss in a 3-month lifestyle intervention. J Am Coll Nutr. 2014;33(3):198-205. doi: 10.1080/07315724.2013.863169. Epub 2014 May 8.
PubMed 24809437
Study at a glance
From the registry record, last updated by the sponsor on 15 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effect of Time-based Energy Intake Goals on Weight Loss During Obesity Treatment
- ClinicalTrials.gov ID
- NCT06455995
- Acronym / sponsor ID
- DEPTH / UTK IRB-23-07697-XP
- Conditions
- Obesity
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 174 participants (estimated)
- Lead sponsor
- The University of Tennessee, KnoxvilleUniversity, hospital or other
- Study start
- 16 Jul 2024 (actual)
- Primary completion
- Dec 2028 (estimated)
- Study completion
- Dec 2028 (estimated)
- First posted
- 13 Jun 2024 (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.
The goal of this randomized controlled trial is to learn how the time of day when calories are eaten affects weight loss in the long-term (12 months). The main aims are to learn:
- The influence of time-based energy intake goals on longer-term weight loss.
- The influence of time-based energy intake goals on eating temporal patterns, sleep regularity, and appetite regulation.
Researchers will compare whether goals to eat most of a person's calories in the morning or evening work to treat obesity.
Participants will:
- Eat a reduced-calorie, low-fat diet (some participants will have goals to eat their calories at certain times of day based on their group)
- Be physically active at least 200 minutes
- Receive a cognitive behavioral intervention
Detailed description
This randomized controlled trial investigates the longer-term (12 months) effect of time-based energy intake goals on weight loss. It also explores whether enhanced appetite regulation is a mediator of the relationship and if chronotype moderates the effect. Adults with overweight or obesity are randomly assigned to one of three, 12-month lifestyle interventions: 1) Morning; 2) Evening; or 3) Standard. All conditions receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. To minimize the effect of other eating temporal variables on outcomes, guidance on the eating window length and the number of eating occasions in the day are consistent across all three conditions. Thus, the three conditions are instructed to have their first eating occasion < 60 minutes of awakening, and eat their three meals and one snack within a 12-hr eating window. Morning group has time-based energy intake goals of 70% of kcal within the first 6 hrs of the eating window and 30% of kcal within the last 6 hrs of the eating window (a morning-loaded energy distribution). Evening group has the opposite time-based energy intake goals (an afternoon/evening-loaded energy distribution). Standard group receives no guidance on energy intake distribution (standard lifestyle intervention). Assessments occur at 0, 3, 6, and 12 months on anthropometrics, diet (24-hr recalls with time-stamped digital images verifying timing of intake, combined with continuous blood glucose monitoring [CGM] to objectively assess for length of the eating window and number of eating occasions), sleep regularity (actigraphy supported by sleep logs collected via ecological momentary assessment [EMA] using smartphones), appetite regulation assessed via EMA using smartphones, chronotype (self-reported midpoint of sleep on work-free days), and MVPA (actigraphy).
The primary aims are to determine:
- The influence of time-based energy intake goals on longer-term weight loss.
- The influence of time-based energy intake goals on eating temporal patterns, sleep regularity, and appetite regulation.
The exploratory aims are to consider:
- If appetite regulation mediates the relationship between time-based energy intake goals and weight loss.
- The moderating effect of chronotype on weight loss and changes in eating temporal patterns, sleep regularity, and appetite regulation in the three conditions.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| DEPTH-Standard | Active comparator | Behavioral: DEPTHParticipants in the Standard Group will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. Standard group will receive no guidance on energy intake distribution (standard lifestyle intervention). |
| DEPTH-Morning | Experimental | Behavioral: DEPTH, Behavioral: DEPTH-MorningParticipants in the Morning Group will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. They will also have time-based energy intake goals of 70% of kcal within the first 6 hrs of the eating window and 30% of kcal within the last 6 hrs of the eating window (a morning-loaded energy distribution). |
| DEPTH-Evening | Experimental | Behavioral: DEPTH, Behavioral: DEPTH-EveningParticipants in the Evening Group will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. They will also have time-based energy intake goals of 30% of kcal within the first 6 hrs of the eating window and 70% of kcal within the last 6 hrs of the eating window (an evening-loaded energy distribution). |
Who may qualify
- Ages
- 25 to 60 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
Key inclusion criteria (1 listed)
- Body mass index (BMI) between 27 and 45 kg/m2.
Key exclusion criteria (12 listed)
- Report not regularly (>/= 5 days/wk) consuming energy (>/= 100 kcal) prior to 12 pm, and not being able to consume energy every day (>/= 50 kcal) within one hour of awakening.
- Report taking sleep medication or not regularly (>/= 5 nights/wk) getting at least 6 hrs of total sleep.
- Report being a shift workers/alternative shift workers that work outside of 7 am and 7 pm.
- Report being diagnosed with type 1, or type 2 diabetes and taking medication that requires eating to occur at certain time periods.
- Report a heart condition, chest pain during periods of activity or rest, or loss of consciousness on the Physical Activity Readiness Questionnaire (PAR-Q). Individuals reporting joint problems, prescription medication usage, or other medical conditions that could limit exercise will be required to obtain written physician consent to participate.
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 |
|---|---|---|
| DEPTHAll conditions will receive a reduced-energy, low-fat dietary prescription (1200-1500 kcal/d, < 30% energy from fat), physical activity goals (> 200 min/wk of moderate- to vigorous-intensity physical activity [MVPA]) and a cognitive behavioral intervention. To minimize the effect of other eating temporal variables on outcomes, guidance on the eating window length and the number of eating occasions in the day will be consistent across all three conditions. Thus, the three conditions will be instructed to have their first eating occasion < 60 minutes of awakening, and eat their three meals and one snack within a 12-hr eating window. | Behavioural | DEPTH-Evening, DEPTH-Morning, DEPTH-Standard |
| DEPTH-MorningMorning will also have time-based energy intake goals of 70% of kcal within the first 6 hrs of the eating window and 30% of kcal within the last 6 hrs of the eating window (a morning-loaded energy distribution). | Behavioural | DEPTH-Morning |
| DEPTH-EveningEvening will also have time-based energy intake goals of 30% of kcal within the first 6 hrs of the eating window and 70% of kcal within the last 6 hrs of the eating window (an evening-loaded energy distribution). | Behavioural | DEPTH-Evening |
Primary outcome
Percent Weight Change
Time frame: 0, 3, 6, and 12 months
Percent change in weight (weight change in lbs at follow up / baseline weight in lbs)
Body Mass Index (BMI)
Time frame: 0, 3, 6, and 12 months
Change in BMI calculated as weight in kg / height in m2
6 secondary outcomes
Dietary intake
Time frame: 0, 3, 6, and 12 months
Sleep
Time frame: 0, 3, 6, and 12 months
Appetite regulation
Time frame: 0, 3, 6, and 12 months
Waist circumference
Time frame: 0, 3, 6, and 12 months
Moderate- to vigorous-physical activity (MVPA)
Time frame: 0, 3, 6, and 12 months
Chronotype
Time frame: 0, 3, 6, and 12 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Jun 2026.
- Background: PubMed 35856629Yong YN, Henry CJ, Haldar S. Is There a Utility of Chrono-Specific Diets in Improving Cardiometabolic Health? Mol Nutr Food Res. 2022 Sep;66(17):e2200043. doi: 10.1002/mnfr.202200043. Epub 2022 Jul 20.
- Background: PubMed 21845223Salgado-Delgado R, Tapia Osorio A, Saderi N, Escobar C. Disruption of circadian rhythms: a crucial factor in the etiology of depression. Depress Res Treat. 2011;2011:839743. doi: 10.1155/2011/839743. Epub 2011 Aug 8.
- Background: PubMed 35834774Petersen MC, Gallop MR, Flores Ramos S, Zarrinpar A, Broussard JL, Chondronikola M, Chaix A, Klein S. Complex physiology and clinical implications of time-restricted eating. Physiol Rev. 2022 Oct 1;102(4):1991-2034. doi: 10.1152/physrev.00006.2022. Epub 2022 Jul 14.
- Background: PubMed 23808897Wang JB, Patterson RE, Ang A, Emond JA, Shetty N, Arab L. Timing of energy intake during the day is associated with the risk of obesity in adults. J Hum Nutr Diet. 2014 Apr;27 Suppl 2:255-62. doi: 10.1111/jhn.12141. Epub 2013 Jun 27.
- Background: PubMed 27044416Hermenegildo Y, Lopez-Garcia E, Garcia-Esquinas E, Perez-Tasigchana RF, Rodriguez-Artalejo F, Guallar-Castillon P. Distribution of energy intake throughout the day and weight gain: a population-based cohort study in Spain. Br J Nutr. 2016 Jun;115(11):2003-10. doi: 10.1017/S0007114516000891. Epub 2016 Apr 5.
- Background: PubMed 30212231Maukonen M, Kanerva N, Partonen T, Mannisto S. Chronotype and energy intake timing in relation to changes in anthropometrics: a 7-year follow-up study in adults. Chronobiol Int. 2019 Jan;36(1):27-41. doi: 10.1080/07420528.2018.1515772. Epub 2018 Sep 13.
- Background: PubMed 9040548Keim NL, Van Loan MD, Horn WF, Barbieri TF, Mayclin PL. Weight loss is greater with consumption of large morning meals and fat-free mass is preserved with large evening meals in women on a controlled weight reduction regimen. J Nutr. 1997 Jan;127(1):75-82. doi: 10.1093/jn/127.1.75.
- Background: PubMed 23512957Jakubowicz D, Barnea M, Wainstein J, Froy O. High caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women. Obesity (Silver Spring). 2013 Dec;21(12):2504-12. doi: 10.1002/oby.20460. Epub 2013 Jul 2.
- Background: PubMed 24311451Rabinovitz HR, Boaz M, Ganz T, Jakubowicz D, Matas Z, Madar Z, Wainstein J. Big breakfast rich in protein and fat improves glycemic control in type 2 diabetics. Obesity (Silver Spring). 2014 May;22(5):E46-54. doi: 10.1002/oby.20654. Epub 2013 Dec 6.
- Background: PubMed 24809437Lombardo M, Bellia A, Padua E, Annino G, Guglielmi V, D'Adamo M, Iellamo F, Sbraccia P. Morning meal more efficient for fat loss in a 3-month lifestyle intervention. J Am Coll Nutr. 2014;33(3):198-205. doi: 10.1080/07315724.2013.863169. Epub 2014 May 8.
- Individual participant dataSharing planned: Yes. Types and amount of scientific data expected to be generated in the project: Demographic, anthropometric, dietary intake, sleep and physical activity from actigraphy, appetite regulation collected via ecological momentary assessment, and chronotype data will be collected from 174 adults with overweight or obesity (described in detail in section c.3. of this application) at four time points (0, 3, 6, and 12 months). Raw data will be transformed by processing software (diet and actigraphy) and will generate 4 data sets (data organized by timepoint), which will be no more than 100 gigabytes. These four data sets will be used for statistical analyses and be placed in the repository. All data will be de-identified prior to receipt by the repository, and individual-level data will be made available for sharing.
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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.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing DEPTH, DEPTH-Morning and DEPTH-Evening in people with Obesity, run by The University of Tennessee, Knoxville at 1 site in United States.
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 1 inclusion and 12 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: looking for participants now, as of the sponsor's last update on 15 Jun 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 States. 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?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Hollie A Raynor, PhD (865-974-9126 ext. 1, hraynor@utk.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Percent Weight Change (time frame: 0, 3, 6, and 12 months). The study lists 2 primary outcomes in all. 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 NCT06455995, which also lists 10 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 15 Jun 2026.