NCT05456386

Brief Summary

The BioRhythm study will test a novel behavioral health intervention that utilizes personalized behavioral health counseling as well as sleep and activity data obtained via wearable technology to promote weight loss in obese individuals.

  1. 1.Determine whether the use of the The Circadian Rhythm Approach to Weight Loss (CRAWL) intervention results in improvements in weight loss and a reduction in mean daily eating opportunity window.
  2. 2.Establish whether use of the CRAWL intervention results in changes in objectively estimated circadian rhythm, activity levels, sleep duration, sleep architecture, and sleep timing.
  3. 3.Hypothesis: Compared to a wait list control, the CRAWL intervention will induce improvements in all metrics described above.

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
65

participants targeted

Target at P50-P75 for not_applicable obesity

Timeline
Completed

Started Aug 2022

Shorter than P25 for not_applicable obesity

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 6, 2022

Completed
7 days until next milestone

First Posted

Study publicly available on registry

July 13, 2022

Completed
19 days until next milestone

Study Start

First participant enrolled

August 1, 2022

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2023

Completed
Last Updated

July 14, 2022

Status Verified

July 1, 2022

Enrollment Period

9 months

First QC Date

July 6, 2022

Last Update Submit

July 12, 2022

Conditions

Outcome Measures

Primary Outcomes (2)

  • The Circadian Rhythm Approach to Weight Loss (CRAWL) Intervention Weight Loss

    Change in recorded participant weight (kg).

    4 months

  • The Circadian Rhythm Approach to Weight Loss (CRAWL) Intervention Daily Eating Opportunity Window

    Change in mean daily eating opportunity window defined by the elapsed time between the consumption of the first meal of the day and the last meal of the day.

    4 months

Secondary Outcomes (2)

  • The Circadian Rhythm Approach to Weight Loss (CRAWL) Intervention Total Sleep Time

    4 months

  • The Circadian Rhythm Approach to Weight Loss (CRAWL) Intervention Sleep Architecture

    4 months

Study Arms (2)

The Circadian Rhythm Approach to Weight Loss (CRAWL) Intervention Arm

EXPERIMENTAL

The Circadian Rhythm Approach to Weight Loss (CRAWL) intervention subjects will continuously wear their Fitbit Versa 2 (aside from periodic charging periods) and participate in the pre-scheduled CRAWL sessions. Every week, subjects will complete a sleep diary, which assesses subject's time in bed, sleep latency, awakenings, wake after sleep onset, awakening time, overall sleep quality, overall refreshed rating, naps, exercise, energy level and mood. Subjects are to ensure their Fitbit is sufficiently charged every night before bed and they are to wear their Fitbit continuously throughout the night. Subjects will weigh themselves using their home scale each week prior to exercise, taking a shower or eating breakfast. They will record their weight in their provided weight tracking sheet

Behavioral: The Circadian Rhythm Approach to Weight Loss (CRAWL)

Waitlist Control Arm

NO INTERVENTION

Waitlist control subjects will follow the same protocol outlined above for 16 weeks minus the scheduled CRAWL sessions. When the initial treatment arm has completed their 16 weeks of group sessions, the waitlist control group will begin their CRAWL sessions.

Interventions

The Circadian Rhythm Approach to Weight Loss (CRAWL) is a behavioral intervention that is designed to provide support for behavioral change to improve sleep and feeding parameters that will lead to sustainable weight loss.

The Circadian Rhythm Approach to Weight Loss (CRAWL) Intervention Arm

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Men and women between the ages of 18 - 75 years old
  • Able to read and write fluently in English or Spanish
  • Access to a mobile device for video calls, online questionnaires, syncing devices, and communication with study staff
  • Access to a residential mailing address for shipping study materials
  • Body Mass Index (BMI) ≥ 30
  • Self-report that they have a problem with their weight that they wish to improve
  • Must be able to participate in mild to moderate physical activity
  • Access to a mechanical or digital scale

You may not qualify if:

  • Have a severe, untreated sleep disorder (e.g., Obstructive Sleep Apnea (OSA), Restless Leg Syndrome (RLS), insomnia, narcolepsy)
  • Patients who are unable to participate in prolonged fasting periods such as insulin dependent diabetics.
  • Have a medical condition that would interfere with their ability to complete all study procedures or would render measurements invalid (e.g., some autoimmune conditions, cardiac conditions, endocrine conditions, or chronic pain conditions)
  • Unable to achieve a regular sleep schedule, where bed and wake times are kept within a 2-hour window 7 days per week
  • Unable to maintain a regular sleep schedule during the night, beginning no earlier than 9pm and ending no later than 10am
  • Have not engaged in shift work for the past month, and will refrain from shift work during the study
  • Are unable to restrict alcohol consumption to no more than 2 drinks within 4 hours of sleep
  • Are unable to restrict caffeine use to no coffee or caffeinated beverages after 12pm during the study
  • Regularly smoke or use other tobacco products
  • Are unable to restrict cannabis products (e.g., marijuana) or cannabis-derived medicinal products (e.g., Marinol) within 4 hours of sleep
  • Are pregnant
  • Are a full-time caregiver to an individual that requires attending during the evening and night
  • Physically disabled or confined to a bed, wheelchair, or walker.
  • Presence of a diagnosed eating disorder
  • Currently use prescription or over-the-counter appetite suppressants or other prescription drugs that may interfere with appetite (e.g., Adderall)
  • +1 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (17)

  • Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018. NCHS Data Brief. 2020 Feb;(360):1-8.

    PMID: 32487284BACKGROUND
  • Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006 Dec 14;444(7121):840-6. doi: 10.1038/nature05482.

    PMID: 17167471BACKGROUND
  • Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BW, Zitman FG. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010 Mar;67(3):220-9. doi: 10.1001/archgenpsychiatry.2010.2.

    PMID: 20194822BACKGROUND
  • Clark I, Stucky B, Azza Y, Schwab P, Muller S, Weibel D, Button D, Karlen W, Seifritz E, Kleim B, Landolt HP. Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions. Chronobiol Int. 2021 Dec;38(12):1702-1713. doi: 10.1080/07420528.2021.1941074. Epub 2021 Jul 18.

    PMID: 34278901BACKGROUND
  • Lujan MR, Perez-Pozuelo I, Grandner MA. Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms. Front Digit Health. 2021 Aug 16;3:721919. doi: 10.3389/fdgth.2021.721919. eCollection 2021.

    PMID: 34713186BACKGROUND
  • Kolla BP, Mansukhani S, Mansukhani MP. Consumer sleep tracking devices: a review of mechanisms, validity and utility. Expert Rev Med Devices. 2016 May;13(5):497-506. doi: 10.1586/17434440.2016.1171708. Epub 2016 Apr 18.

    PMID: 27043070BACKGROUND
  • Majumder S, Mondal T, Deen MJ. Wearable Sensors for Remote Health Monitoring. Sensors (Basel). 2017 Jan 12;17(1):130. doi: 10.3390/s17010130.

    PMID: 28085085BACKGROUND
  • Ong JL, Lau T, Massar SAA, Chong ZT, Ng BKL, Koek D, Zhao W, Yeo BTT, Cheong K, Chee MWL. COVID-19-related mobility reduction: heterogenous effects on sleep and physical activity rhythms. Sleep. 2021 Feb 12;44(2):zsaa179. doi: 10.1093/sleep/zsaa179.

    PMID: 32918076BACKGROUND
  • Chinoy ED, Cuellar JA, Huwa KE, Jameson JT, Watson CH, Bessman SC, Hirsch DA, Cooper AD, Drummond SPA, Markwald RR. Performance of seven consumer sleep-tracking devices compared with polysomnography. Sleep. 2021 May 14;44(5):zsaa291. doi: 10.1093/sleep/zsaa291.

    PMID: 33378539BACKGROUND
  • Roberts LM, Jaeger BC, Baptista LC, Harper SA, Gardner AK, Jackson EA, Pekmezi D, Sandesara B, Manini TM, Anton SD, Buford TW. Wearable Technology To Reduce Sedentary Behavior And CVD Risk In Older Adults: A Pilot Randomized Clinical Trial. Clin Interv Aging. 2019 Oct 23;14:1817-1828. doi: 10.2147/CIA.S222655. eCollection 2019.

    PMID: 31695350BACKGROUND
  • Batsis JA, Petersen CL, Clark MM, Cook SB, Lopez-Jimenez F, Al-Nimr RI, Pidgeon D, Kotz D, Mackenzie TA, Bartels SJ. A Weight Loss Intervention Augmented by a Wearable Device in Rural Older Adults With Obesity: A Feasibility Study. J Gerontol A Biol Sci Med Sci. 2021 Jan 1;76(1):95-100. doi: 10.1093/gerona/glaa115.

    PMID: 32384144BACKGROUND
  • Shechter A, Grandner MA, St-Onge MP. The Role of Sleep in the Control of Food Intake. Am J Lifestyle Med. 2014 Nov 1;8(6):371-374. doi: 10.1177/1559827614545315. Epub 2014 Aug 6.

    PMID: 27065757BACKGROUND
  • Tahara Y, Shibata S. Chronobiology and nutrition. Neuroscience. 2013 Dec 3;253:78-88. doi: 10.1016/j.neuroscience.2013.08.049. Epub 2013 Sep 3.

    PMID: 24007937BACKGROUND
  • Rynders CA, Thomas EA, Zaman A, Pan Z, Catenacci VA, Melanson EL. Effectiveness of Intermittent Fasting and Time-Restricted Feeding Compared to Continuous Energy Restriction for Weight Loss. Nutrients. 2019 Oct 14;11(10):2442. doi: 10.3390/nu11102442.

    PMID: 31614992BACKGROUND
  • Chaix A, Lin T, Le HD, Chang MW, Panda S. Time-Restricted Feeding Prevents Obesity and Metabolic Syndrome in Mice Lacking a Circadian Clock. Cell Metab. 2019 Feb 5;29(2):303-319.e4. doi: 10.1016/j.cmet.2018.08.004. Epub 2018 Aug 30.

    PMID: 30174302BACKGROUND
  • Arble DM, Bass J, Laposky AD, Vitaterna MH, Turek FW. Circadian timing of food intake contributes to weight gain. Obesity (Silver Spring). 2009 Nov;17(11):2100-2. doi: 10.1038/oby.2009.264. Epub 2009 Sep 3.

    PMID: 19730426BACKGROUND
  • Galindo Munoz JS, Gomez Gallego M, Diaz Soler I, Barbera Ortega MC, Martinez Caceres CM, Hernandez Morante JJ. Effect of a chronotype-adjusted diet on weight loss effectiveness: A randomized clinical trial. Clin Nutr. 2020 Apr;39(4):1041-1048. doi: 10.1016/j.clnu.2019.05.012. Epub 2019 May 21.

    PMID: 31153674BACKGROUND

MeSH Terms

Conditions

Obesity

Condition Hierarchy (Ancestors)

OverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Central Study Contacts

Stephen M Hutchison, B.S.

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Research Coordinator

Study Record Dates

First Submitted

July 6, 2022

First Posted

July 13, 2022

Study Start

August 1, 2022

Primary Completion

May 1, 2023

Study Completion

May 1, 2023

Last Updated

July 14, 2022

Record last verified: 2022-07

Data Sharing

IPD Sharing
Will not share