Obesity Clinical Trial
— DEPTHOfficial 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: 1. The influence of time-based energy intake goals on longer-term weight loss. 2. 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: 1. 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) 2. Be physically active at least 200 minutes 3. Receive a cognitive behavioral intervention
Status | Not yet recruiting |
Enrollment | 174 |
Est. completion date | December 2028 |
Est. primary completion date | December 2028 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 25 Years to 60 Years |
Eligibility | Inclusion Criteria: - Body mass index (BMI) between 27 and 45 kg/m2. Exclusion Criteria: - 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. - 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). |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
---|---|
The University of Tennessee, Knoxville |
Hermenegildo 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. Erratum In: Br J Nutr. 2017 Mar;117(5):766. — View Citation
Jakubowicz 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. — View Citation
Keim 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. — View Citation
Lombardo 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. — View Citation
Maukonen 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. — View Citation
Petersen 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. — View Citation
Rabinovitz 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. — View Citation
Salgado-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. — View Citation
Wang 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. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Process evaluation: Self-monitoring of diet | Achievement of condition specific diet goals (adherence) will be documented (days/wk for overall energy and fat goal [staying with + 5% of each goal]; first eating occasion < 60 minutes of awakening; daily eating window length < 12 hours; four eating occasions per day; and time-based energy intake goals [staying within + 5% of each goal] for Morning and Evening only) | Throughout the 12-month intervention | |
Other | Process evaluation: Self-monitoring of physical activity | From physical activity self-monitoring records, number of weeks minutes that MVPA is within + 5% of the goal will be documented. | Throughout the 12-month intervention | |
Other | Process evaluation: Attendance | Number of sessions attended will be recorded | Throughout the 12-month intervention | |
Other | Process evaluation: Fidelity | All sessions will be audiotaped and the PI will review 33% of these sessions for treatment fidelity | Throughout the 12-month intervention | |
Primary | Percent Weight Change | Percent change in weight (weight change in lbs at follow up / baseline weight in lbs) | 0, 3, 6, and 12 months | |
Primary | Body Mass Index (BMI) | Change in BMI calculated as weight in kg / height in m2 | 0, 3, 6, and 12 months | |
Secondary | 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 | 0, 3, 6, and 12 months | |
Secondary | Sleep | Hours of daily sleep objectively measured by accelerometry | 0, 3, 6, and 12 months | |
Secondary | 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 | 0, 3, 6, and 12 months | |
Secondary | Waist circumference | Change in waist circumference in inches | 0, 3, 6, and 12 months | |
Secondary | Moderate- to vigorous-physical activity (MVPA) | Time in MVPA objectively measured by accelerometry | 0, 3, 6, and 12 months | |
Secondary | 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 | 0, 3, 6, and 12 months |
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