Multimodal Sleep Intervention Using Wearable Technology

NCT03658954 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 120

Last updated 2025-05-07

Study results available
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Summary

This research study is examining three different components of a digital sleep intervention: web-based sleep health advice, sleep and alcohol smartphone diary self-monitoring, and personalized sleep and alcohol consumption feedback from wearables/diaries and tailored coaching. The study is designed to find out which of these components are most effective for reducing alcohol use and improving sleep health among young adults. The study has three parts: 1) an intake session; 2) a 2-week treatment phase; and 3) three follow-up visits over the next 10 weeks.

Conditions

  • Drinking, Alcohol

Interventions

BEHAVIORAL

Advice

Once per week for two weeks, participants will come to in-person visits to receive brief web-based sleep health advice.

BEHAVIORAL

Self-monitoring

Participants will complete daily smartphone-based sleep and alcohol diaries for two weeks.

BEHAVIORAL

Feedback

Participants will receive feedback once per week for two weeks on their sleep and alcohol consumption, using all possible data derived from Philips actiwatches and SCRAM ankle biosensors \& smartphone diaries \& tailored coaching with a health coach

Sponsors & Collaborators

  • National Institute on Alcohol Abuse and Alcoholism (NIAAA)

    collaborator NIH
  • Yale University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
25 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-12-07
Primary Completion
2021-12-31
Completion
2021-12-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03658954 on ClinicalTrials.gov