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Multimodal Sleep Intervention Using Wearable Technology

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

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03658954
Enrollment
120
Registered
2018-09-06
Start date
2018-12-07
Completion date
2021-12-31
Last updated
2025-05-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Drinking, Alcohol

Keywords

Sleep Disorders, Self-Management, Telemedicine, Health Education, Wearable Electronic Devices

Brief 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.

Detailed description

Targeting sleep concerns may be a novel strategy for reducing increased risk of alcohol use disorders in young adults. The current study will develop and test a multimodal digital intervention addressing sleep concerns in 120 heavy-drinking young adults. All participants will wear sleep and alcohol biosensors daily. Participants will be randomized to one of three interventions. The primary intervention (60 participants) will include web-based sleep health advice + sleep/alcohol smartphone diary self-monitoring + sleep/alcohol data wearable/diary feedback & tailored coaching. The comparison interventions will be compared to matched control conditions only including these components: (1) web-based sleep health advice (30 participants) or (2) web-based sleep health advice + sleep/alcohol smartphone diary self-monitoring (30 participants). The primary objective is to evaluate sleep intervention component feasibility, acceptability, and preliminary efficacy on alcohol and sleep outcomes to inform a large scale Stage II randomized trial comparing the final digital intervention against standard care for this population.

Interventions

BEHAVIORALSelf-monitoring

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

BEHAVIORALAdvice

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

BEHAVIORALFeedback

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

National Institute on Alcohol Abuse and Alcoholism (NIAAA)
CollaboratorNIH
Yale University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Intervention model description

Random assignment to one of three groups in 2:1:1 ratio, each group receiving some variation on 2-week intervention. Measurements taken at baseline, 4 weeks, 8 weeks, 12 weeks.

Eligibility

Sex/Gender
ALL
Age
18 Years to 25 Years
Healthy volunteers
Yes

Inclusion criteria

1. 18-25 years of age; 2. report ≥ 3 heavy drinking occasions in the last 2 weeks (i.e., ≥5 drinks on 1 occasion for men; ≥4 for women); 3. report having concerns about their sleep; 4. willing/able to complete daily smartphone diaries and wear sleep and alcohol trackers; 5. report Alcohol Use Disorders Identification Test - Consumption (AUDIT-C) scores indicative of risk of harm from drinking (i.e., ≥7 and ≥5 for men and women, respectively) 6. read and understand English; 7. have a smartphone

Exclusion criteria

1. history of a sleep disorder; 2. night or rotating shift work; travel beyond 2 time zones in month prior and/or planned travel beyond 2 time zones during study participation; 3. meet criteria for an alcohol use disorder in the past 12 months that is clinically severe defined by: a) a history of seizures, delirium, or hallucinations during alcohol withdrawal; b) report drinking to avoid withdrawal symptoms or have had prior treatment of alcohol withdrawal; c) have required medical treatment of alcohol withdrawal in the past 6 months; 4. currently enrolled in alcohol or sleep treatment; 5. exhibit current severe psychiatric illness (i.e., bipolar disorder, schizophrenia, major depression, panic disorder, organic mood or mental disorders, or suicide or violence risk) by history or psychological examination; 6. current DSM-V substance use disorder (other than cannabis) or a positive urine drug screen for opiates, cocaine, barbiturates, benzodiazepines, amphetamines, or phencyclidine.

Design outcomes

Primary

MeasureTime frameDescription
Total Alcohol Drinks Consumed Over the 12wk Followupweeks 4 through 12This will be recorded using the Timeline Follow-back Interview, based on the U.S. Standard Drink Conversion Chart. Upon results entry, the outcome was updated to include the following: data are log-transformed total alcohol drinks consumed over time from Week 4 to Week 12 follow-up, controlling for baseline.

Secondary

MeasureTime frameDescription
National Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep Disturbance Score- Least Squares Mean Across AssessmentsBaseline, week 4, week 8 and week 12This is a validated, reliable measure of perceived sleep quality/satisfaction and difficulty initiating/maintaining sleep. Upon results entry, the outcome was updated to reflect the following: Sleep Disturbance Score assessed at Week 4, 8 and 12, controlling for baseline. Scores represent standardized T scores with mean of 50 and a standard deviation of 10. Higher scores, 50 and above, equal greater sleep disturbance. Scores 60 and above are clinically significant. Presented is the least squares mean across assessments.
National Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep-Related Impairment Score - Least Squares Mean Across AssessmentsBaseline, week 4, week 8 and week 12National Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep-Related Impairment Score assessed at Week 4, 8, and 12, controlling for baseline. Scores represent standardized T scores with mean of 50 and a standard deviation of 10. Higher scores, 50 and above, equal greater sleep-related impairment. Scores 60 and above are clinically significant. Presented is the least squares mean across assessments.
End of Treatment Satisfaction Survey Score2 weeksIn this survey, participants will rate their satisfaction associated with each intervention component using a 5-point Likert-type scale. Upon results entry, the outcome was corrected to reflect the following: the overall treatment satisfaction uses the mean of questions on a 5-point Likert-type scale from 0 to 4, with higher scores indicating greater satisfaction.

Other

MeasureTime frameDescription
Stop-signal Reaction Time4 weeksThe difference between the mean reaction time and the stop-signal delay on the stop-signal test. Upon results entry, the following was added: This outcome will be explored as a potential mechanism of sleep intervention condition effects on the primary outcome of total drinks consumed. If there is a significant effect of condition on total drinks, the analysis of stop signal reaction time will be conducted. Due to COVID-19, this assessment was stopped since it could not be administered virtually. Since there was no effect of condition on total drinks consumed, an analysis of this outcome as a potential mechanism was not undertaken. The following represents the number of participants in each condition had this assessment conducted prior to COVID.

Countries

United States

Participant flow

Participants by arm

ArmCount
Advice
Participants receive only web-based sleep hygiene advice Advice: Once per week for two weeks, participants will come to in-person visits to receive brief web-based sleep hygiene advice.
30
Advice + Self-monitoring
Participants receive web-based sleep hygiene advice + sleep/alcohol diary self-monitoring Advice: Once per week for two weeks, participants will come to in-person visits to receive brief web-based sleep hygiene advice. Self-monitoring: Participants will complete daily web-based sleep and alcohol diaries for two weeks.
30
Advice + Self-monitoring + Feedback
Participants receive web-based sleep hygiene advice + sleep/alcohol diary self-monitoring + sleep/alcohol data feedback Advice: Once per week for two weeks, participants will come to in-person visits to receive brief web-based sleep hygiene advice. Self-monitoring: Participants will complete daily web-based sleep and alcohol diaries for two weeks. Feedback: Participants will receive feedback once per week for two weeks on their sleep and alcohol consumption, using all possible data derived from Fitbit actigraphs and Milo Sensor blood-alcohol trackers.
60
Total120

Baseline characteristics

CharacteristicTotalAdviceAdvice + Self-monitoringAdvice + Self-monitoring + Feedback
Age, Continuous21.2 years
STANDARD_DEVIATION 1.8
20.9 years
STANDARD_DEVIATION 1.7
21.3 years
STANDARD_DEVIATION 1.8
21.2 years
STANDARD_DEVIATION 1.7
Ethnicity (NIH/OMB)
Hispanic or Latino
19 Participants5 Participants5 Participants9 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
101 Participants25 Participants25 Participants51 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
10 Participants3 Participants2 Participants5 Participants
Race (NIH/OMB)
Black or African American
9 Participants1 Participants1 Participants7 Participants
Race (NIH/OMB)
More than one race
1 Participants0 Participants0 Participants1 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
4 Participants0 Participants2 Participants2 Participants
Race (NIH/OMB)
White
96 Participants26 Participants25 Participants45 Participants
Region of Enrollment
United States
120 participants30 participants30 participants60 participants
Sex: Female, Male
Female
61 Participants15 Participants16 Participants30 Participants
Sex: Female, Male
Male
59 Participants15 Participants14 Participants30 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 300 / 300 / 60
other
Total, other adverse events
0 / 300 / 300 / 60
serious
Total, serious adverse events
0 / 300 / 300 / 60

Outcome results

Primary

Total Alcohol Drinks Consumed Over the 12wk Followup

This will be recorded using the Timeline Follow-back Interview, based on the U.S. Standard Drink Conversion Chart. Upon results entry, the outcome was updated to include the following: data are log-transformed total alcohol drinks consumed over time from Week 4 to Week 12 follow-up, controlling for baseline.

Time frame: weeks 4 through 12

Population: Intention to treat analysis

ArmMeasureValue (LEAST_SQUARES_MEAN)Dispersion
AdviceTotal Alcohol Drinks Consumed Over the 12wk Followup3.07 log-transformed total alcohol drinksStandard Error 0.13
Advice + Self-monitoringTotal Alcohol Drinks Consumed Over the 12wk Followup2.95 log-transformed total alcohol drinksStandard Error 0.12
Advice + Self-monitoring + FeedbackTotal Alcohol Drinks Consumed Over the 12wk Followup2.96 log-transformed total alcohol drinksStandard Error 0.09
Comparison: Testing for group effect.p-value: 0.75Mixed Models Analysis
Secondary

End of Treatment Satisfaction Survey Score

In this survey, participants will rate their satisfaction associated with each intervention component using a 5-point Likert-type scale. Upon results entry, the outcome was corrected to reflect the following: the overall treatment satisfaction uses the mean of questions on a 5-point Likert-type scale from 0 to 4, with higher scores indicating greater satisfaction.

Time frame: 2 weeks

ArmMeasureValue (LEAST_SQUARES_MEAN)Dispersion
AdviceEnd of Treatment Satisfaction Survey Score3.45 score on a scaleStandard Error 0.74
Advice + Self-monitoringEnd of Treatment Satisfaction Survey Score3.48 score on a scaleStandard Error 0.57
Advice + Self-monitoring + FeedbackEnd of Treatment Satisfaction Survey Score3.60 score on a scaleStandard Error 0.56
Secondary

National Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep Disturbance Score- Least Squares Mean Across Assessments

This is a validated, reliable measure of perceived sleep quality/satisfaction and difficulty initiating/maintaining sleep. Upon results entry, the outcome was updated to reflect the following: Sleep Disturbance Score assessed at Week 4, 8 and 12, controlling for baseline. Scores represent standardized T scores with mean of 50 and a standard deviation of 10. Higher scores, 50 and above, equal greater sleep disturbance. Scores 60 and above are clinically significant. Presented is the least squares mean across assessments.

Time frame: Baseline, week 4, week 8 and week 12

Population: Intention to treat analysis

ArmMeasureValue (LEAST_SQUARES_MEAN)Dispersion
AdviceNational Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep Disturbance Score- Least Squares Mean Across Assessments51.39 T-scoreStandard Error 0.67
Advice + Self-monitoringNational Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep Disturbance Score- Least Squares Mean Across Assessments49.75 T-scoreStandard Error 0.65
Advice + Self-monitoring + FeedbackNational Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep Disturbance Score- Least Squares Mean Across Assessments49.46 T-scoreStandard Error 0.45
Comparison: Testing for group effect.p-value: 0.05Mixed Models Analysis
Secondary

National Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep-Related Impairment Score - Least Squares Mean Across Assessments

National Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep-Related Impairment Score assessed at Week 4, 8, and 12, controlling for baseline. Scores represent standardized T scores with mean of 50 and a standard deviation of 10. Higher scores, 50 and above, equal greater sleep-related impairment. Scores 60 and above are clinically significant. Presented is the least squares mean across assessments.

Time frame: Baseline, week 4, week 8 and week 12

Population: Intention to treat analysis

ArmMeasureValue (LEAST_SQUARES_MEAN)Dispersion
AdviceNational Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep-Related Impairment Score - Least Squares Mean Across Assessments57.80 T-scoreStandard Error 0.9
Advice + Self-monitoringNational Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep-Related Impairment Score - Least Squares Mean Across Assessments57.05 T-scoreStandard Error 0.88
Advice + Self-monitoring + FeedbackNational Institutes of Health Patient-Reported Outcomes Measurement Information System™ (NIH PROMIS™) Sleep-Related Impairment Score - Least Squares Mean Across Assessments54.89 T-scoreStandard Error 0.62
Comparison: Testing for group effect.p-value: 0.02Mixed Models Analysis
Other Pre-specified

Stop-signal Reaction Time

The difference between the mean reaction time and the stop-signal delay on the stop-signal test. Upon results entry, the following was added: This outcome will be explored as a potential mechanism of sleep intervention condition effects on the primary outcome of total drinks consumed. If there is a significant effect of condition on total drinks, the analysis of stop signal reaction time will be conducted. Due to COVID-19, this assessment was stopped since it could not be administered virtually. Since there was no effect of condition on total drinks consumed, an analysis of this outcome as a potential mechanism was not undertaken. The following represents the number of participants in each condition had this assessment conducted prior to COVID.

Time frame: 4 weeks

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
AdviceStop-signal Reaction Time22 Participants
Advice + Self-monitoringStop-signal Reaction Time19 Participants
Advice + Self-monitoring + FeedbackStop-signal Reaction Time43 Participants

Source: ClinicalTrials.gov · Data processed: Feb 16, 2026