Sleep Clinical Trial
Official title:
The SLuMBER Study: The Sleep Lengthening and Metabolic Health, Body Composition, Energy Balance and Cardiovascular Risk Study
Short sleep duration has been associated with increased risk of weight gain and development of non-communicable diseases. Sleep deprivation studies have suggested the link between restricted sleep and risk of adiposity and cardiometabolic dysregulation may be causal. However, the severity and acuteness of sleep restriction schedules in laboratory-based studies could hinder the ecological validity of the findings. The pragmatic way forward is to assess how improved sleep in habitually short sleepers impacts the aforementioned outcomes. This study assesses the feasibility of lengthening sleep in short sleepers, as well as how improved sleep duration and/or quality impact metabolic health, body composition, energy balance and cardiovascular risk.
Research Questions
- Is it feasible to improve sleep duration and quality in habitually short sleepers under
free-living conditions?
- What are the effects of improved sleep duration and quality on body composition, energy
balance, dietary intake, and cardio-metabolic risk factors?
Hypothesis
- Improved sleep duration and/or quality in habitually short sleepers will result in improved
energy balance, diet quality, body composition, and cardio-metabolic risk profile.
Aims
- To assess the feasibility of improving sleep duration and/or quality in habitually short
sleepers using behavioural approaches and public health messages targeting sleep
hygiene.
- To identify how improved sleep duration and/or quality affect energy balance, diet
quality, body composition, and cardio-metabolic risk profile.
Objectives
1. To develop a sleep extension strategy using behaviour change techniques (BCTs) targeting
sleep hygiene.
2. To recruit healthy adults who are habitually short sleepers and randomise eligible
participants to an intervention and control group.
3. To assess the feasibility and effectiveness of the intervention.
4. To measure energy balance, diet quality, body composition and cardio-metabolic risk
factors pre- and post-treatment in the intervention and control groups.
5. To assess whether the intervention had an effect on the aforementioned parameters by
comparing the intervention endpoints to control as well as baseline measures.
6. To run the statistical analysis both on an intention-to-treat basis as well as
per-protocol.
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