Evidence map›Paper›PMID 41343856›Full record

Trial reportJournal of medical Internet research2025

Oura Ring Behavioral Feedback Intervention for Alcohol Reduction in Young Adults: User Experience Evaluation of a Pilot Randomized Trial.

Frances J Griffith, Oksana K Ellison, Sahiti Kunchay, Madilyn Augustine, Kelly S DeMartini, Michael Fatigate, Leah Latimer, Stephanie S O'Malley, Nancy S Redeker, Garrett I Ash and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Frances J GriffithDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0000-0001-9238-0212
Oksana K EllisonDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0000-0002-1954-7335
Sahiti KunchayDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0000-0001-8468-8794
Madilyn AugustineDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0009-0007-4043-8233
Kelly S DeMartiniDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0000-0003-0943-2507
Michael FatigateDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0009-0009-9196-4967
Leah LatimerDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0009-0005-0369-9616
Stephanie S O'MalleyDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0000-0002-1976-2369
Nancy S RedekerSchool of Nursing, University of Connecticut, Storrs, CT, United States.ORCID http://orcid.org/0000-0001-7817-2708
Garrett I AshDepartment of Biomedical Informatics and Data Science, Department of Internal Medicine, Section of General Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, United States.ORCID http://orcid.org/0000-0002-8655-7525
Lisa M FucitoDepartment of Psychiatry, Yale School of Medicine, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 859 257 6841.ORCID http://orcid.org/0000-0001-9410-2830

Funding

Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
Research Training Fellowship in Substance use and Addiction (RTFSA)T32DA007238 · NIDA · YALE UNIVERSITY · PI BRIAN D. KILUK, ISMENE L. PETRAKIS · 1988 to 2026
$5.7M
Deep Phenotyping of Heavy Drinking in Young Adults with Behavioral Scales, Neuropsychological Tasks, and Smartphone Sensing TechnologyR01AA030136 · NIAAA · YALE UNIVERSITY · PI Kelly S DeMartini, LISA M FUCITO · 2023 to 2026
$2.6M
Informatics-Based Digital Application to Promote Safe Exercise in Middle-Aged Adults with Type 1 DiabetesK01DK129441 · NIDDK · YALE UNIVERSITY · PI Garrett Igo Ash · 2022 to 2026
$950k
A photoplethysmography sensor-based personalized feedback intervention for heavy-drinking young adults targeting heart rate variability, resting heart rate, and sleepR21AA028886 · NIAAA · YALE UNIVERSITY · PI FUCITO, LISA M · 2021 to 2022
$386k
NIAAA NIH HHS R01 AA030136NIAAA NIH HHS R21 AA028886NIDA NIH HHS T32 DA007238NIDA NIH HHS T32 DA019426NIDDK NIH HHS K01 DK129441
6 · The paper itself

Abstract

Background: Wearable fitness technologies, like the Oura Ring (Oura Health Oy), provide physiological metrics, like sleep and heart rate data, to a growing user base of young adults. However, these technologies and connected mobile apps do not measure young adults' alcohol use that contributes to these metrics. Personalized feedback on the impact of alcohol on sleep and heart rate may boost motivation to reduce drinking among young adults. Objective: For this pilot randomized controlled trial, we evaluated the acceptability, feasibility, and perceived effectiveness of a wearable personalized feedback intervention for alcohol reduction in young adults that integrated physiological and behavioral data. Methods: Recruitment took place offline and online via open access websites. Participants (N=60) wore the Oura Ring for 6 weeks and completed daily behavioral smartphone diaries. Only the feedback group (n=30) had full access to the Oura Ring app and personalized feedback reports every 2 weeks, received from the study team. The app included daily feedback on sleep and cardiovascular recovery. Feedback reports combined Oura Ring and diary data to show trends of alcohol use alongside sleep and cardiovascular data. We used artificial intelligence-driven convergent mixed methods to evaluate self-assessed exit surveys and face-to-face exit interviews, including natural language processing and researcher-coded qualitative analyses with interviews. Results: Half of participants (30/60, 50%) were men, 81.6% (49/60) were White, and they had a mean age of 22.02 (SD 1.98) years. Across both groups, the overall program was described as highly acceptable, feasible, and effective. Wearing the Oura Ring was highly acceptable and feasible. The smartphone diaries were moderately acceptable, moderately-highly feasible, and highly effective. The feedback reports were highly acceptable, feasible, and effective. Among feedback group participants, the Oura Ring and app were moderately effective. The feedback group participants also had high adherence using the app daily, and 80% (48/60) read all 3 feedback reports. Per natural language processing, the most common topic in the feedback interviews related to their behavior change due to multiple intervention components (Ɵk=0.18). This contrasted with the most common topic from assessment group participants about prechange learning (Ɵk=0.22). During the researcher-coded qualitative analysis, we identified themes in 3 categories. Most participants described helpful aspects of the Oura Ring and app, smartphone diaries, and feedback report. Most felt that the report had the right amount of information, and a large group reported they learned about their sleep deficits. Curiosity was the most common reason participants joined the study. SMS text messages and usability kept them engaged, and almost none considered dropping out. Conclusions: Commercial fitness wearables that integrate behavioral data may be acceptable and feasible and promote readiness to change drinking in young adults who are generally unconcerned about risky behaviors.

Indexed as

Alcohol DrinkingMobile ApplicationsWearable Electronic DevicesAdultFeedbackFemaleHeart RateHumansMalePilot ProjectsSleepSmartphoneYoung Adultalcohol usedigital healthdrinkingheart rate variabilitymobile healthmobile phonenatural language processingpersonalized feedbacksleepwearable technologyyoung adults

Identifiers

PMID41343856
PMCPMC12677873

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.