Circadian Misalignment and Energy Balance
CM
Impact of Circadian Misalignment on Energy Balance Regulation
1 other identifier
interventional
42
1 country
1
Brief Summary
Preliminary findings from the investigators' lab suggest that circadian misalignment, occurring when meals and sleep are mistimed from one another, alters resting state neuronal processing in areas relevant to food reward and interoception; supporting a role of sleep and meal misalignment, on energy balance regulation. No study has been done to disentangle the effects of sleep and meal timing on body weight regulation, independent of sleep duration. This study will provide information to guide messaging related to timing of meals and sleep that can be translated to individuals whose sleep follows unconventional times, such as shift workers and those with jetlag and social jetlag.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable obesity
Started Jan 2019
Longer than P75 for not_applicable obesity
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 5, 2018
CompletedFirst Posted
Study publicly available on registry
September 10, 2018
CompletedStudy Start
First participant enrolled
January 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
ExpectedSeptember 9, 2025
September 1, 2025
7.6 years
September 5, 2018
September 8, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Energy expenditure
Metabolic chamber
Change over 2-week period
Body composition
Quantitative magnetic resonance
Change over 4-week period
Nutritional intakes
3-day food records
4 weeks
Secondary Outcomes (4)
Task-based functional neuroimaging
Change over 2-week period
Resting state functional neuroimaging
Change over 2-week period
Appetite
4 weeks
Hormones
Change over 2-week period
Other Outcomes (1)
Circadian rhythms
Change over 2-week period
Study Arms (2)
Circadian misalignment
EXPERIMENTALMeals in this condition will be delayed by 4 hours relative to the circadian alignment condition. Food intake during this period will be from 1 PM to 11 PM.
Circadian alignment
ACTIVE COMPARATORMeals in this condition will be aligned to the sleep episode. Food intake during this period will be from 9 AM to 7 PM.
Interventions
Meal times vary based on the arm: aligned or misaligned
Eligibility Criteria
You may qualify if:
- All racial and ethnic groups
- Body mass index 20-34.9 kg/m2
- Average sleep duration ≥7 hour/night, assessed during 2-week screening period
- Eat within 1 hour of awakening at least 5 days/week
- Midpoint of sleep at 4 AM or earlier
You may not qualify if:
- \<10 nights of sleep \<7 hour during the 2-week screening period
- Daytime napping
- Current or past sleep disorder (Sleep Disorders Inventory); Insomnia Severity Index Score \>10
- Current or past psychiatric disorder, including eating disorders and seasonal affective disorder
- Any psychological or psychiatric disorder deemed to interfere with study outcomes
- Smoking (currently smoking any cigarettes or using tobacco products, e-cigarettes and vapes, or ex-smokers \<3 years)
- Night and rotating shift work
- Travel across time zones within 4 wk of the study
- History of drug or alcohol abuse or excessive alcohol consumption (\>3 drinks/day for men or 2 for women)
- Recent weight change (\>5% gain or loss of body weight over past 3 months) or active participation in diet or weight loss program in previous 3 months; any weight loss procedure
- Pregnancy or \<1 year post-partum
- Diagnosed sleep apnea or high-risk score on Berlin questionnaire (2 or more categories with positive score)
- Depression (score \>13 on Beck Depression Inventory II) or taking anti-depressive medications
- Restless leg syndrome and circadian rhythm disorders
- Dementia or cognitive impairments
- +7 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Columbia Universitylead
- NYU Langone Healthcollaborator
Study Sites (1)
Columbia University Irving Medical Center
New York, New York, 10032, United States
Related Publications (1)
Boege HL, Wilson KD, Kilkus JM, Qiu W, Cheng B, Wroblewski KE, Tucker B, Tasali E, St-Onge MP. Higher daytime intake of fruits and vegetables predicts less disrupted nighttime sleep in younger adults. Sleep Health. 2025 Oct;11(5):590-596. doi: 10.1016/j.sleh.2025.05.003. Epub 2025 Jun 11.
PMID: 40506285DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Marie-Pierre St-Onge, PhD
Columbia University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Masking Details
- Participants will be masked to the true outcomes of the study.
- Purpose
- PREVENTION
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
September 5, 2018
First Posted
September 10, 2018
Study Start
January 1, 2019
Primary Completion
July 31, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
September 9, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF
- Time Frame
- Data will become available after results of the main aims from the final dataset have been accepted for publication.
- Access Criteria
- Our methods of data sharing include: mailing CD-ROM containing data or e-mailing data files directly to the requestors. Normally, our data files are available in Excel or SAS format. Other data file formats can also be requested. The study's Statisticians will assist in preparing the required data files for data sharing. fMRI data will be uploaded to a data file sharing repository for anyone to use. These data will be de-identified prior to release.
Data from this study will be available for sharing with other investigators. Data sharing requests should be made in writing and sent directly to the investigator(s) who generated the data. The purposes for using shared data should be stated in the request, and the data can only be used for research purposes. Data sharing agreements should be developed and accepted by both parties before data sharing takes place. Protecting the rights and privacy of human subjects and maintaining the study participants' confidentiality will be the first priority of our data sharing plan. We plan to follow the HIPAA privacy rule for de-identification of a dataset before transferring data.