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Recruiting NCT07345767

NCT07345767 Hypknowledge Nationwide Sleep Extension

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Clinical Trial Summary
NCT ID NCT07345767
Status Recruiting
Phase
Sponsor University of Arizona
Condition Short Sleep Duration
Study Type INTERVENTIONAL
Enrollment 1,038 participants
Start Date 2026-08-01
Primary Completion 2027-05-31

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 60 Years
Study Type INTERVENTIONAL
Interventions
Sleep DiaryFitbit

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 1,038 participants in total. It began in 2026-08-01 with a primary completion date of 2027-05-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief 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 Criteria

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 efficiency of at least 85% as determined by sleep diaries and actigraphy. Exclusion Criteria: 1. Any condition that the PI considers would significantly impede participation in the study. 2. Participant is under 18 years of age or older than 60 years of age 3. Does not own a FitBit device with Heart Rate Monitor 4. Sleep \>6 hours per night. 5. Typical bedtime before 8 pm or after 1 am 6. Typical waketime before 5 am or after 10 am 7. Diagnosed with sleep disorders including insomnia or sleep apnea 8. Diagnosed mental health disorder which may impact sleep (i.e. Bipolar Disorder) 9. Taking medications that may affect sleep. 10. Baseline sleep efficiency less than 85%.

Contact & Investigator

Central Contact

Annie Chen, Bachelors of Science

✉ sleeptechstudy@arizona.edu

📞 520-621-5850

Principal Investigator

Michael A Grandner, PhD

PRINCIPAL INVESTIGATOR

University of Arizona

Frequently Asked Questions

Who can join the NCT07345767 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 60 Years, studying Short Sleep Duration. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07345767 currently recruiting?

Yes, NCT07345767 is actively recruiting participants. Contact the research team at sleeptechstudy@arizona.edu for enrollment information.

Where is the NCT07345767 trial being conducted?

This trial is being conducted at Tucson, United States.

Who is sponsoring the NCT07345767 clinical trial?

NCT07345767 is sponsored by University of Arizona. The principal investigator is Michael A Grandner, PhD at University of Arizona. The trial plans to enroll 1,038 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: July 2026  ·  Data Methodology