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RecruitingNot ApplicableNCT07345767

Hypknowledge Nationwide Sleep Extension

Sponsor

University of Arizona

Enrollment

1,038 participants

Start Date

Mar 1, 2026

Study Type

INTERVENTIONAL

Conditions

Short Sleep Duration

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.

Eligibility

Min Age: 18 YearsMax Age: 60 Years

Inclusion Criteria9

  • Be between the ages of 18-60 years old
  • Have a typical sleep schedule of \<=6 hours per night
  • Must have a FitBit device (any model) with Heart Rate Monitor
  • Must have bedtime between 8 pm and 1 am
  • Must have a waketime between 5 am and 10 am
  • Must not have insomnia as determined by diagnosis or score on the Insomnia Severity Index (ISI), or must be treated.
  • Must not have sleep apnea as determined by diagnosis or STOP-BANG scale, or must be treated.
  • Must have a computer or smartphone device for daily sleep diaries.
  • Must have an initial sleep efficiency of at least 85% as determined by sleep diaries and actigraphy.

Exclusion Criteria10

  • Any condition that the PI considers would significantly impede participation in the study.
  • Participant is under 18 years of age or older than 60 years of age
  • Does not own a FitBit device with Heart Rate Monitor
  • Sleep \>6 hours per night.
  • Typical bedtime before 8 pm or after 1 am
  • Typical waketime before 5 am or after 10 am
  • Diagnosed with sleep disorders including insomnia or sleep apnea
  • Diagnosed mental health disorder which may impact sleep (i.e. Bipolar Disorder)
  • Taking medications that may affect sleep.
  • Baseline sleep efficiency less than 85%.
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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.

Locations(1)

University of Arizona

Tucson, Arizona, United States

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NCT07345767