- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07789314
Just-in-Time Coping Prompts for Reactive Digital Behavior in College Students (REACT)
August 24, 2026 updated by: University of Florida
REACT: A Just-in-Time Adaptive Intervention to Reduce Reactive Digital Behavior in College Students
This study looks at the moments when college students feel a strong emotional swing, and how those moments relate to reacting online when upset, drinking alcohol, and eating in response to emotions.
Participants wear a wrist device and answer brief check-ins on their phone several times a day for about five weeks.
During part of that time, a study app sometimes sends a short coping message at moments when the wrist device and check-ins suggest emotions are shifting quickly.
Whether a message is sent at any given moment is decided at random, and the study compares what participants do in the short window afterward.
The study is a pilot designed to test whether the approach is feasible and to estimate how large its effects are.
Study Overview
Status
Not yet recruiting
Intervention / Treatment
Detailed Description
REACT is a five-week micro-randomized trial in University of Florida students age 18 and older.
Participants complete a baseline battery, wear a Garmin Venu 3, and respond to five to six smartphone check-ins per day.
Week one is a no-prompt run-in that establishes each participant's own baseline distribution of momentary affective variability, indexed by the mean square of successive differences on consecutive affect ratings.
From week two through week five, the app evaluates up to six decision points per day.
A decision point is flagged when the participant's current variability exceeds their own 80th percentile threshold, computed within person rather than against a group average.
At each available decision point the app randomizes with probability 0.5 whether to deliver a brief coping message, and if so selects a message type from those eligible in that context.
Availability rules exclude sleep, stale device data, a 60-minute cooldown, a daily cap, and any safety override.
Proximal outcomes are drawn from the first check-in within two hours after the decision point.
Analysis uses weighted and centered least squares to estimate causal excursion effects, with pre-specified moderators.
Study Type
Interventional
Enrollment (Estimated)
80
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Yonghwan Chang, PhD
- Phone Number: 352-294-1664
- Email: yhchang@ufl.edu
Study Locations
-
-
Florida
-
Gainesville, Florida, United States, 32611
- University of Florida
-
Contact:
- Yonghwan Chang, PhD
- Phone Number: 352-294-1664
- Email: yhchang@ufl.edu
-
Principal Investigator:
- Yonghwan Chang, PhD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- Currently enrolled University of Florida student
- Age 18 years or older
- Owns a smartphone used daily
- Willing to wear a wrist-worn device and complete brief check-ins several times daily for approximately five weeks
Exclusion Criteria:
- Varsity student-athlete governed by the university athletic association
- Unable to complete study procedures in English
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Coping prompt delivered
Decision points at which the randomization outcome is to deliver a brief cognitive-behavioral or acceptance-based coping message.
Message type is selected at random from those eligible in the participant's current context.
Every participant contributes decision points to this condition.
|
A single short message of one to three sentences delivered to the participant's smartphone at a randomized decision point, taking roughly fifteen to thirty seconds to read.
Messages apply cognitive-behavioral techniques including thought records, perspective-taking, decatastrophizing, cost-benefit checks, implementation intentions, and behavioral redirection, or acceptance-based techniques including cognitive defusion, acceptance, values anchoring, urge surfing, and present-moment grounding.
Delivery is capped at four messages per day with a minimum sixty-minute interval and is confined to participant-set waking hours.
Messages may be dismissed without responding.
|
|
Active Comparator: No coping prompt or active control message
Decision points at which the randomization outcome is not to deliver a coping message.
A brief neutral, non-directive acknowledgment message may be delivered as an active control so that receiving any message can be separated from receiving a coping message.
Every participant contributes decision points to this condition.
|
A brief neutral acknowledgment message matched to the coping messages on delivery mechanism and approximate length, containing no coping technique or behavioral suggestion.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Momentary urge to post or reply reactively, score on a 7-point scale.
Time Frame: Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
Self-reported urge to post or reply about something upsetting, rated 1 to 7 at the first check-in within two hours after a randomized decision point.
Higher scores indicate greater urge.
Analyzed as a causal excursion effect comparing decision points at which a coping message was delivered with those at which it was not.
|
Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
|
Momentary urge to drink alcohol, score on a 7-point scale.
Time Frame: Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
Self-reported current urge to drink alcohol, rated 1 to 7 at the first check-in within two hours after a randomized decision point.
Higher scores indicate greater urge.
Analyzed as a causal excursion effect.
|
Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
|
Momentary emotional influence on eating, score on a 7-point scale.
Time Frame: Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
Self-reported rating of how much emotions influenced eating since the previous check-in, rated 1 to 7 at the first check-in within two hours after a randomized decision point.
Analyzed as a causal excursion effect.
|
Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Proportion of delivered prompts receiving a response
Time Frame: Through study completion, approximately 5 weeks per participant.
|
Number of prompts receiving a rating response divided by number of prompts delivered.
Pre-registered benchmark is 60 percent.
|
Through study completion, approximately 5 weeks per participant.
|
|
Proportion of enrolled participants retained to study end.
Time Frame: Through study completion, approximately 5 weeks per participant.
|
Number of participants completing the study divided by number enrolled.
Pre-registered benchmark is 85 percent.
|
Through study completion, approximately 5 weeks per participant.
|
|
Momentary reactive online behavior since the previous check-in, self-reported occurrence
Time Frame: Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
Self-reported occurrence of posting or replying while upset since the previous check-in, reported yes or no at the first check-in within two hours after a randomized decision point.
|
Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
|
Number of standard drinks consumed since the previous check-in, self-reported count
Time Frame: Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
Self-reported number of standard drinks consumed since the previous check-in.
|
Within 2 hours after each randomized decision point, across weeks 2 to 5.
|
|
Loss-of-control eating rating, score on a 7-point scale
Time Frame: Within 2 hours after each randomized decision point, across weeks 2 to 5
|
Self-reported sense of losing control while eating since the previous check-in, rated 1 to 7.
|
Within 2 hours after each randomized decision point, across weeks 2 to 5
|
|
Proportion of scheduled check-ins completed
Time Frame: Through study completion, approximately 5 weeks per participant.
|
Number of completed check-ins divided by number of scheduled check-ins.
Pre-registered feasibility benchmark is 75 percent.
|
Through study completion, approximately 5 weeks per participant.
|
|
Proportion of waking hours with valid wearable data
Time Frame: Through study completion, approximately 5 weeks per participant.
|
Hours of valid physiological data divided by estimated waking hours.
Pre-registered benchmark is 80 percent.
|
Through study completion, approximately 5 weeks per participant.
|
|
Prompt helpfulness rating, score on a 7-point scale
Time Frame: Week 3 and end of study, approximately week 5.
|
Participant rating of how helpful the coping prompts were, rated 1 to 7.
|
Week 3 and end of study, approximately week 5.
|
|
System Usability Scale total score.
Time Frame: End of study, approximately week 5.
|
System Usability Scale (Brooke, 1996) total score, range 0 to 100, higher scores indicating better usability.
|
End of study, approximately week 5.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Yonghwan Chang, PhD, University of Florida
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
September 1, 2026
Primary Completion (Estimated)
May 1, 2027
Study Completion (Estimated)
August 1, 2027
Study Registration Dates
First Submitted
August 23, 2026
First Submitted That Met QC Criteria
August 24, 2026
First Posted (Actual)
August 27, 2026
Study Record Updates
Last Update Posted (Actual)
August 27, 2026
Last Update Submitted That Met QC Criteria
August 24, 2026
Last Verified
August 1, 2026
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB202600940
- 00135244 (Other Grant/Funding Number: University of Florida Research Opportunity Seed Fund)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
Individual participant data will not be shared outside the research team.
This is a pilot study collecting sensitive behavioral and biological data from a small identifiable campus population, and the informed consent does not provide for external sharing of individual-level data.
Aggregate results will be published.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.