CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 120 enrolled
Drug / intervention
Advice +2 morebehavioral
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT03658954
NCT03658954N/ACompleted

Development of a Multimodal Sleep Intervention Using Wearable Technology to Reduce Heavy Drinking in Young Adults

Yale University·interventional·Posted Sep 6, 2018·Updated May 7, 2025

In Brief

A clinical study evaluating Advice, Self-monitoring, and 1 other intervention for Drinking, Alcohol. Completed, enrolled 120 participants across 1 site.

Detailed 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.

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
CountriesUnited States

Timeline

N/ACompletedFinished
20192020202120222023202420252026
First PostedSep 6, 2018
Enrollment StartDec 7, 2018
Primary CompletionDec 31, 2021
TodayJul 2, 2026
Enrollment to primary: 3.1 yearsPosted 7.8 years ago

Interventions

Advicebehavioral

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

Self-monitoringbehavioral

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

Feedbackbehavioral

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