Monitoring Sleep and Glucose Among University Students

NCT04880629 | Completed

• 1 other identifier: METWI
• Study Type: interventional
• Target: 131
• Locations: 1 country
• Sites: 1

Brief Summary

This study aims to characterise associations between day-to-day sleep, activity, meal schedules, well-being and continuous glucose profiles in a cohort of free-living healthy, young adults. Multi-day data will be collected using wearables and smartphone-based measures in field settings.

Conditions

Sleep

Keywords

Glucose; Insulin

Outcome Measures

Primary Outcomes (16)

• Intraindividual changes in sleep duration measured by wearable device (mins) across time

  We hypothesise that participants will exhibit shorter sleep durations on nights in closer proximity to exam dates.

  4 weeks

• Intraindividual changes in sleep timing measured by wearable device (mins) across time

  We hypothesise that participants will exhibit later sleep timings on nights in closer proximity to exam dates.

  4 weeks

• Intraindividual changes in sleep regularity measured by wearable device (mins) across time

  We hypothesise that participants will exhibit less regular sleep timings on nights in closer proximity to exam dates.

  4 weeks

• Intraindividual changes in nap behaviour measured by self-report and wearable device (mins) across time

  We hypothesise that participants will exhibit more polyphasic sleep schedules (more nap episodes) in closer proximity to exam dates.

  4 weeks

• Intraindividual changes in daily self-reported stress across time

  We hypothesise that participants will report higher levels of stress in closer proximity to exam dates.

  4 weeks

• Intraindividual changes in daily self-reported sleep quality across time

  We hypothesise that participants will report poorer sleep quality in closer proximity to exam dates.

  4 weeks

• Intraindividual changes in daily self-reported mood across time

  We hypothesise that participants will report more negative mood reports in closer proximity to exam dates.

  4 weeks

• Intraindividual changes in glucose values across time

  We hypothesise that mean daily, diurnal, nocturnal, and postprandial glucose values will be higher, and that 24-h glucose will be more variable in closer proximity to exam dates, and that these will be associated with the extent of sleep pattern alteration experienced by participants.

  4 weeks

• Intraindividual changes in average glucose across time

  We hypothesise that average daily glucose values will be higher in closer proximity to exam dates, and that these changes will be associated with the extent of sleep pattern alteration experienced by participants.

  4 weeks

• Intraindividual changes in glycemic variability across time

  We hypothesise that daily glucose values will be more variable in closer proximity to exam dates, and that these changes will be associated with the extent of sleep pattern alteration experienced by participants.

  4 weeks

• Intraindividual changes in postprandial glucose across time

  We hypothesise that average postprandial change in glucose will be higher in closer proximity to exam dates, and that these changes will be associated with the extent of sleep pattern alteration experienced by participants.

  4 weeks

• Differences in average glucose between individuals with habitually different sleep profiles

  We expect to observe higher daily average glucose among individuals who habitually obtain less sleep and have greater irregularity in sleeping patterns, compared to individuals who obtain more sleep and have more regular sleeping patterns

  4 weeks

• Differences in glycemic variability between individuals with habitually different sleep profiles

  We expect to observe more variable daily glucose values among individuals who habitually obtain less sleep and have greater irregularity in sleeping patterns, compared to individuals who obtain more sleep and have more regular sleeping patterns

  4 weeks

• Accuracy of sleep detection using multiple data sources

  We hypothesise that sleep detection accuracy will increase when wearable, WIFI and smartphone-based data sources are combined.

  4 weeks

• Effect of sleep restriction condition on glucose tolerance measured by oral glucose tolerance test.

  We hypothesise that higher glucose tolerance will be observed in the sleep restriction condition compared to the baseline sleep condition.

  1 day

• Effect of sleep restriction condition on insulin resistance measured by oral glucose tolerance test.

  We hypothesise that higher insulin resistance will be observed in the sleep restriction condition compared to the baseline sleep condition.

  1 day

Study Arms (1)

Sleep rectriction

EXPERIMENTAL

Participants in METWI2 undergo both a baseline (unrestricted) sleep and sleep restriction condition. On the morning following each condition, participants complete an oral glucose tolerance test to measure changes in glucose and insulin following ingestion of a glucose load.

Behavioral: Baseline condition; Behavioral: Sleep restriction condition

Interventions

Baseline condition BEHAVIORAL

In the baseline sleep condition, participants are instructed not to restrict their sleep on the night before completing an oral glucose tolerance test (OGTT). Participants are prescribed sleep-wake timings based on their preferred and averaged sleep durations measured over 2 weeks using a wearable sleep tracker. Sleep timings and durations on the 3 nights before the OGTT are verified using a sleep diary and sleep tracker.

Sleep rectriction

Sleep restriction condition BEHAVIORAL

In the sleep restriction condition, participants are prescribed sleep timings to restrict their sleep by 1 to 2 hours on the night before completing an oral glucose tolerance test (OGTT). Sleep timings and durations on the 3 nights before the OGTT are verified using a sleep diary and sleep tracker.

Sleep rectriction

Eligibility Criteria

• Age: 21 Years - 30 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Chinese
• NUS student residing on campus during semester
• Healthy
• No sleeping disorders/eating disorders/neurological illnesses
• BMI between 18.0 and 24.9

You may not qualify if:

• Smoker
• Pregnant
• Dietary restrictions
• Not able to collect meals and adhere to provided meal plan, or habitual meals/mealtimes from 3-day food diary deemed unsuitable for provided meal plan
• Moderate to severe depression/anxiety scores from BDI or BAI respectively
• Impaired glucose tolerance

Sponsors & Collaborators

• National University of Singapore: lead

Study Sites (1)

National University of Singapore

Singapore, (No States Listed), 117597, Singapore

Location

Related Publications (2)

• Ng ASC, Tai ES, Chee MWL. Effects of night-to-night variations in objectively measured sleep on blood glucose in healthy university students. Sleep. 2025 Feb 10;48(2):zsae224. doi: 10.1093/sleep/zsae224.

  PMID: 39325824 DERIVED

• Ng ASC, Massar SAA, Bei B, Chee MWL. Assessing 'readiness' by tracking fluctuations in daily sleep duration and their effects on daily mood, motivation, and sleepiness. Sleep Med. 2023 Dec;112:30-38. doi: 10.1016/j.sleep.2023.09.028. Epub 2023 Sep 28.

  PMID: 37804715 DERIVED

MeSH Terms

Conditions

Insulin Resistance

Condition Hierarchy (Ancestors)

Hyperinsulinism; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: BASIC SCIENCE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigatore, Professor

Study Record Dates

• First Submitted: May 5, 2021
• First Posted: May 11, 2021
• Study Start: March 3, 2021
• Primary Completion: May 17, 2021
• Study Completion: December 31, 2023
• Last Updated: September 23, 2024

Record last verified: 2024-09

Locations

SG (1)