Digital Phenotypes for Predicting Depression
- Sponsor
- Korea University Anam Hospital
- Study ID
- NCT07151846
- Status
- Enrolling By Invitation
Conditions
- Bipolar Disorder (BD)
- Depression - Major Depressive Disorder
- Depression Bipolar
- Mood Disorders
Eligibility Criteria
- Sex
- ALL
- Age
- 19 Years - 75 Years
- Healthy Volunteers
- Accepted
Study Details
This longitudinal study aims to identify and validate digital phenotypes that can predict recurrence of major depressive episodes using passively collected, real-time sensing data from smartphones and wearable devices. Over a 12-month period, 540 participants-including patients with mood disorders and healthy or high-risk controls-will complete five clinical assessments at 3-month intervals, wear a Fitbit device daily, and log daily mood ratings via a mobile app. The study includes the development of AI-based predictive models and the construction of an anonymized wearable big-data repository for mood disorders.
Key Dates
- First listed
- Sep 3, 2025
- Start date
- Feb 27, 2025
- Status verified
- Aug 2025
- Primary completion
- Aug 31, 2026
- Completion
- Aug 31, 2026
Study Design
- Enrollment
- 540 participants (estimated)
Arms
- Arm: Patient groupAdults (19-75 years) with a clinical diagnosis of a major mood disorder (bipolar I/II or major depressive disorder) per DSM-5, with at least one prior depressive episode.
- Arm: High RiskAdults (19-75 years) with no formal diagnosis of bipolar disorder or major depressive disorder, but who meet at least one of the following: 1. Elevated scores at screening (K-MDQ ≥7 or PHQ-9 ≥5), or 2. Report of persistent mood symptoms (e.g., ≥2 weeks of low mood or ≥several days of elevated/irritable mood) during MINI interview.
- Arm: Healthy ControlAdults (19-75 years) with no current or past diagnosis of bipolar disorder or major depressive disorder, and who screen below cutoff on both K-MDQ (\<7) and PHQ-9 (\<5).
Primary Outcome Measure
The Patient Health Questionnaire (PHQ-9) [ Time Frame: Baseline, month 3, month 6, month 9, month 12 ]
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