Hypknowledge Nationwide Sleep Extension
University of Arizona
Summary
The main goal of this study is to evaluate whether a manually determined sleep extension intervention is effective at improving sleep and related outcomes among adults who find it difficult to get enough sleep.
Description
Approximately 1/3 of Americans sleep ≤6h per night, an amount that has been deemed sub-optimal by the American Academy of Sleep Medicine and Sleep Research Society, the National Sleep Foundation, American Thoracic Society, and the American Heart Association. These consensus statements echo findings from many reviews on this topic. This is alarming, given epidemiologic and experimental research showing that reduced sleep time is associated with a variety of negative health outcomes including obesity, diabetes, cardiovascular disease, and mortality. Different people may need different amounts of…
Eligibility
- Age range
- 18–60 years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: 1. Be between the ages of 18-60 years old 2. Have a typical sleep schedule of \<=6 hours per night 3. Must have a FitBit device (any model) with Heart Rate Monitor 4. Must have bedtime between 8 pm and 1 am 5. Must have a waketime between 5 am and 10 am 6. Must not have insomnia as determined by diagnosis or score on the Insomnia Severity Index (ISI), or must be treated. 7. Must not have sleep apnea as determined by diagnosis or STOP-BANG scale, or must be treated. 8. Must have a computer or smartphone device for daily sleep diaries. 9. Must have an initial sleep efficienc…
Interventions
- BehavioralSleep Diary
Based on the participant's sleep diary data, a new weekly sleep schedule will be prescribed as follows: if sleep efficiency is \<85%, the prescribed time in bed is reduced by 15 minutes (reducing sleep opportunity by 15 minutes); if sleep efficiency is 85-90%, the schedule remains unchanged; if sleep efficiency is \>90%, the prescribed time in bed is increased by 15 minutes, allowing an extra 15 minutes of sleep opportunity.
- BehavioralFitbit
Based on the participant's Fitbit data, a new weekly sleep schedule will be prescribed as follows: if sleep efficiency is \<85%, the prescribed time in bed is reduced by 15 minutes (reducing sleep opportunity by 15 minutes); if sleep efficiency is 85-90%, the schedule remains unchanged; if sleep efficiency is \>90%, the prescribed time in bed is increased by 15 minutes, allowing an extra 15 minutes of sleep opportunity.
Location
- University of ArizonaTucson, Arizona