- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02960776
Impact of Sleep Restriction on Performance in Adults
Effect of Long Term Sleep Restriction on Energy Balance
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Chronic Sleep Restriction (SR) is highly prevalent in today's modern society. Artificial light, portable electronic devices, and 24-h services have allowed individuals to remain active throughout the night, leading to reductions in sleep duration. SSD has been linked to obesity and our laboratory has been interested in establishing whether sleep could be a causal factor in the etiology of obesity. Given the increasing prevalence of obesity over the past 5 decades, coinciding with the marked reduction in sleep duration, further exploration into the role of sleep as a risk factor for obesity could provide additional ammunition in the fight to prevent further increases in the incidence of obesity.
This study will be a randomized, crossover, outpatient SR study with 2 phases of 6 weeks each, with a 6 week wash-out period between the phases. Sleep duration in each phase will be the participant's regular bed- and wake times during the habitual sleep (HS) phase and HS minus 1.5 hours in the SR phase. During the HS phase, participants will be asked to follow a fixed bedtime routine based on their screening sleep schedule. During the SR phase, participants will be asked to keep their habitual wake time constant but delay their bedtime to achieve a reduction of 1.5 hours in total sleep time.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
New York
-
New York, New York, United States, 10032
- New York Nutrition Obesity Research Center
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- BMI 25-29.9 kg/m2
- Have at least one obese parent
- Habitually sleep 7-9 hours a night
- Free of any current and past sleep and psychiatric disorders, including eating disorders, diabetes or Cardiovascular disease (CVD) (i.e., normal scores on: Pittsburgh Quality of Sleep Questionnaire Epworth Sleepiness Scale, Berlin Questionnaire, Sleep Disorders Inventory Questionnaire, Beck Depression Inventory, Composite Scale of Morningness/Eveningness, Three Factor Eating Questionnaire)
- All racial/ethnic groups
Exclusion Criteria:
- Smokers (any cigarettes or ex-smoker < 3 years)
- Neurological, medical or psychiatric disorder
- Diabetics
- Eating and/or sleep disorders
- Contraindications for MRI scanning
- Travel across time zones within 4 weeks
- History of drug and alcohol abuse
- Shift worker (or rotating shift worker)
- Caffeine intake > 300 mg/d
- Heavy equipment operators
- Commercial long-distance drivers
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Habitual Sleep (HS)
Participants will be asked to follow a fixed bedtime routine based on the participant's regular bed- and wake-times during the habitual sleep (HS) phase.
|
|
|
Experimental: Sleep Restriction (SR)
Participants will be asked to keep their habitual wake time constant but delay their bedtime to achieve a reduction of 1.5 hours in total sleep time during the sleep restriction (SR) phase.
|
Participants will be asked to keep their habitual wake time constant but delay their bedtime to achieve a reduction of 1.5 hours in total sleep time.
A delay in bedtimes was chosen rather than advancing wake-up time because it most closely reflects differences in sleep timing behavior between short and normal sleepers.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Endpoint Fat Volume
Time Frame: Week 6 (endpoint)
|
Body composition (specifically fat volume) will be measured by MRI at baseline and endpoint.
|
Week 6 (endpoint)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Energy Expenditure (EE)
Time Frame: Measured over 14 days at the end of each phase (weeks 5 and 6; endpoint)
|
EE is the amount of energy (or calories) that a person needs to carry out physical functions and will be assessed using Doubly Labeled Water (DLW), during the last 2 weeks of each sleep phase.
|
Measured over 14 days at the end of each phase (weeks 5 and 6; endpoint)
|
|
Physical Activity
Time Frame: Average over 6 weeks (measured daily)
|
Time spent in moderate-to-vigorous physical activity.
|
Average over 6 weeks (measured daily)
|
|
Ghrelin
Time Frame: 6 weeks
|
Average post-baseline values
|
6 weeks
|
|
Sedentary Behavior
Time Frame: Average over 6 weeks (measured daily)
|
Time spent in sedentary physical activity.
|
Average over 6 weeks (measured daily)
|
|
Leptin
Time Frame: 6 weeks
|
Average post-baseline values
|
6 weeks
|
|
Glucagon-like Peptide 1
Time Frame: 6 weeks
|
Average post-baseline values
|
6 weeks
|
|
Orexin
Time Frame: 6 weeks
|
Average post-baseline values
|
6 weeks
|
|
Neuropeptide Y
Time Frame: 6 weeks
|
Average post-baseline values
|
6 weeks
|
|
Regional Brain Activation in Response to Food Stimuli
Time Frame: Week 6
|
The primary aim of this outcome was to investigate brain activation in response to food stimuli after a six-week period of Adequate Sleep (AS) or mild Sleep Restriction (SR). To achieve this, the investigators contrasted neuronal responses to food and non-food stimuli at two time points (baseline and six weeks post-intervention/control). This contrast allowed the investigators to calculate the number of voxels activated during the view of food stimuli compared to the number of voxels activated during the view of non-food stimuli (food - non-food) under each condition (AS or SR). Regional brain activation is reported as the total number of voxels activated on the group contrast images (combination of all analyzed participants) of the neuronal response to food stimuli compared to non-food stimuli. For this analysis, voxels were considered activated if they survived Gaussian Random Field theory correction with a 2-tailed p < 0.001 threshold when creating the group contrast images. |
Week 6
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
NIH Toolbox®
Time Frame: Week 6 (endpoint)
|
Working memory data were collected using the List Sorting Working Memory Test from the NIH Toolbox.
Data were transformed into a t-score ranging from 0-100 where a higher t-score indicates better performance.
T-score of 50 indicates the population mean with a standard deviation of 10.
Data were collected at baseline and after 6 weeks on study intervention.
Traditionally, a clinically relevant threshold for cognitive data is 1.5 standard deviations below the mean.
For a t-score, this would mean that a score of 35 or lower suggests clinical relevance.
|
Week 6 (endpoint)
|
|
Neuro-behavioral Measures
Time Frame: Week 6 (endpoint)
|
Episodic verbal learning and memory were collected using the Modified Rey Auditory Verbal Learning Test (ModRey).
The primary variable of interest for this test is the number of correctly recalled words across three learning trials from List A consisting of 20 words in each trial.
The total score range across three trials is 0-60.
A higher score indicates better performance.
|
Week 6 (endpoint)
|
|
Immune Function
Time Frame: Week 5 (endpoint)
|
CD8+ T-cells from samples collected late in the day (non-fasted)
|
Week 5 (endpoint)
|
|
Immune Markers
Time Frame: Week 5 (endpoint)
|
Classical monocytes measured from samples collected late in the day (non-fasted)
|
Week 5 (endpoint)
|
|
Distance Walked
Time Frame: Week 5
|
Distance walked over a 6-minute walk test
|
Week 5
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Marie-Pierre St-Onge, PhD, Columbia University
Publications and helpful links
General Publications
- St-Onge MP, Campbell A, Salazar I, Pizinger T, Liao M, Aggarwal B. Information on Bedtimes and Wake Times Improves the Relation Between Self-Reported and Objective Assessments of Sleep in Adults. J Clin Sleep Med. 2019 Jul 15;15(7):1031-1036. doi: 10.5664/jcsm.7888.
- Barragan R, Zuraikat FM, Tam V, Scaccia S, Cochran J, Li S, Cheng B, St-Onge MP. Actigraphy-Derived Sleep Is Associated with Eating Behavior Characteristics. Nutrients. 2021 Mar 5;13(3):852. doi: 10.3390/nu13030852.
- Luckhaupt SE, Tak S, Calvert GM. The prevalence of short sleep duration by industry and occupation in the National Health Interview Survey. Sleep. 2010 Feb;33(2):149-59. doi: 10.1093/sleep/33.2.149.
- Keith SW, Redden DT, Katzmarzyk PT, Boggiano MM, Hanlon EC, Benca RM, Ruden D, Pietrobelli A, Barger JL, Fontaine KR, Wang C, Aronne LJ, Wright SM, Baskin M, Dhurandhar NV, Lijoi MC, Grilo CM, DeLuca M, Westfall AO, Allison DB. Putative contributors to the secular increase in obesity: exploring the roads less traveled. Int J Obes (Lond). 2006 Nov;30(11):1585-94. doi: 10.1038/sj.ijo.0803326. Epub 2006 Jun 27.
- Zuraikat FM, Makarem N, Redline S, Aggarwal B, Jelic S, St-Onge MP. Sleep Regularity and Cardiometabolic Heath: Is Variability in Sleep Patterns a Risk Factor for Excess Adiposity and Glycemic Dysregulation? Curr Diab Rep. 2020 Jul 23;20(8):38. doi: 10.1007/s11892-020-01324-w.
- Makarem N, Zuraikat FM, Aggarwal B, Jelic S, St-Onge MP. Variability in Sleep Patterns: an Emerging Risk Factor for Hypertension. Curr Hypertens Rep. 2020 Feb 21;22(2):19. doi: 10.1007/s11906-020-1025-9.
- Smith I, Salazar I, RoyChoudhury A, St-Onge MP. Sleep restriction and testosterone concentrations in young healthy males: randomized controlled studies of acute and chronic short sleep. Sleep Health. 2019 Dec;5(6):580-586. doi: 10.1016/j.sleh.2019.07.003. Epub 2019 Aug 12.
- Benasi G, Cheng B, Aggarwal B, St-Onge MP. The effects of sustained mild sleep restriction on stress and distress among healthy adults: Findings from two randomized crossover studies. Sleep Med. 2024 Mar;115:83-87. doi: 10.1016/j.sleep.2024.02.001. Epub 2024 Feb 2.
- Li XY, Yoncheva Y, Yan CG, Castellanos FX, St-Onge MP. Chronic Mild Sleep Restriction Does Not Lead to Marked Neuronal Alterations Compared With Maintained Adequate Sleep in Adults. J Nutr. 2024 Feb;154(2):446-454. doi: 10.1016/j.tjnut.2023.12.016. Epub 2023 Dec 16.
- Barragan R, Zuraikat FM, Cheng B, Scaccia SE, Cochran J, Aggarwal B, Jelic S, St-Onge MP. Paradoxical Effects of Prolonged Insufficient Sleep on Lipid Profile: A Pooled Analysis of 2 Randomized Trials. J Am Heart Assoc. 2023 Oct 17;12(20):e032078. doi: 10.1161/JAHA.123.032078. Epub 2023 Oct 10.
- Barragan R, Zuraikat FM, Tam V, RoyChoudhury A, St-Onge MP. Changes in eating patterns in response to chronic insufficient sleep and their associations with diet quality: a randomized trial. J Clin Sleep Med. 2023 Nov 1;19(11):1867-1875. doi: 10.5664/jcsm.10696.
- McAlpine CS, Kiss MG, Zuraikat FM, Cheek D, Schiroli G, Amatullah H, Huynh P, Bhatti MZ, Wong LP, Yates AG, Poller WC, Mindur JE, Chan CT, Janssen H, Downey J, Singh S, Sadreyev RI, Nahrendorf M, Jeffrey KL, Scadden DT, Naxerova K, St-Onge MP, Swirski FK. Sleep exerts lasting effects on hematopoietic stem cell function and diversity. J Exp Med. 2022 Nov 7;219(11):e20220081. doi: 10.1084/jem.20220081. Epub 2022 Sep 21.
- Zimmerman ME, Benasi G, Hale C, Yeung LK, Cochran J, Brickman AM, St-Onge MP. The effects of insufficient sleep and adequate sleep on cognitive function in healthy adults. Sleep Health. 2024 Apr;10(2):229-236. doi: 10.1016/j.sleh.2023.11.011. Epub 2024 Jan 16.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- AAAQ7746
- 1R01HL128226-01A1 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.