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This study will investigate whether various types of regular exercise can provide protective effects against metabolic abnormalities induced by sleep restriction. It will examine responses related to metabolic health, cognitive function, energy expenditure, subjective feelings, and human behaviors, including physical activity and energy intake.
Full description
Sleep disturbances are common among the Taiwanese population due to work-related stress, shift work, and academic demands. Poor sleep can impair glucose and lipid metabolism, increasing the risk of cardiovascular disease and type 2 diabetes. This study will investigate whether regular exercise can mitigate these adverse effects. The findings aim to inform diverse exercise intervention strategies tailored to different populations to reduce health risks associated with insufficient sleep.
Participants will be healthy adults aged 20 to 45, categorized according to their habitual activity levels.
Eligible participants must have regular sleep habits (Pittsburgh Sleep Quality Index [PSQI] ≤ 5), stable body weight (±3% over the past 3 months), no chronic diseases, no smoking or drinking habits, and no special diets.
Prior to the first main trial, participants will complete assessments of V̇O2max and maximal muscle strength within 7 to 14 days before the main trials. They will also record one week of daily physical activity, sleep patterns (including bedtime and wake-up times), and diet (covering two weekdays and one weekend day) to ensure they meet the inclusion criteria.
Day 1:
Physical activity will be restricted to a minimum, with no exercise permitted. Participants may eat freely before 15:00; however, all food intake will be recorded to enable replication prior to the second main trial. Napping is not allowed. Participants will arrive at the laboratory between 18:30 and 19:00. Upon arrival, after a 20-minute rest period, baseline measurements will be conducted, including body composition, waist and hip circumference, vascular function, subjective questionnaires, heart rate variability, food preference, a 20-minute energy metabolism assessment, and cognitive function testing. Subsequently, a standardized dinner will be provided by the researchers and consumed within 25 minutes. Participants will be allowed to wash and prepare between 20:00 and 20:30. From arrival onward, participants will remain seated on the experimental bed throughout the entire laboratory session. Continuous Glucose Monitoring (CGM) will be installed on day 1. Participants will have either an 8-hour sleep opportunity in the laboratory from 23:00 to 07:00 (i.e., normal sleep trial) or a 3-hour sleep opportunity from 03:00 to 07:00 (i.e., partial sleep deprivation trial).
Day 2:
Participants will wake at 07:00. After completing personal hygiene, they will rest for 20 minutes to ensure full wakefulness. At 07:30, a 20-minute resting metabolic rate assessment will be conducted, alongside the collection of heart rate variability and muscle oxygen saturation data. Subsequently, pulse wave velocity measurement, cognitive function tests, and subjective questionnaires will be administered.
This will be followed by a 3-hour oral glucose tolerance test (OGTT), during which 75 g of glucose will be ingested, and muscle oxygen saturation will be continuously monitored. Capillary blood samples will be collected via finger prick at 0, 30, 60, 90, 120, 150, and 180 minutes, alongside continuous glucose monitoring. Resting gas exchange, heart rate variability, and pulse wave velocity will be measured every 60 minutes. Blood pressure and visual analogue scale assessments-including sleep, appetite, and mood-will be recorded every 30 minutes. Cognitive function will be evaluated every 90 minutes.
Upon leaving the laboratory, participants will receive a pedometer and wearable devices. They will be instructed to record their dietary intake (using a food scale and photographic records), sleep patterns, and glucose levels on the experimental day and for the subsequent four consecutive days.
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48 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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