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Finding studies
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Lead
Korea University Anam Hospital
With
This is a 12-month longitudinal follow-up study designed to identify digital phenotypes capable of predicting the recurrence of major depressive episodes using passively collected real-time data from smartphones and wearable devices. A total of 540 participants will be enrolled, including 200 patients diagnosed with mood disorders who have experienced at least one depressive episode in the past two years, and 340 healthy or high-risk control participants without a clinical diagnosis. Clinical interviews and self-report measures will be conducted five times at 3-month intervals. Throughout the study period, participants will wear a Fitbit device daily and use the "My Mental Hero" mobile application to record their mood once a day at a self-selected time. Data collected will be used to develop machine learning models for predicting depressive recurrence and to build a large-scale, anonymized wearable big-data repository for mood disorders. Participants will receive no interventions beyond data collection, and neither randomization nor blinding will be implemented. Trained psychiatrists, clinical psychologists, or research nurses will conduct the assessments. Initial visits will include informed consent, device setup, and app training, taking approximately 1-2 hours. Subsequent assessments will take about one hour, with additional brief interviews (≤30 minutes) conducted if a mood episode is suspected. While follow-up assessments for patients and high-risk participants will be conducted in person, those for healthy controls may be conducted remotely (via Zoom or phone) under secure and private conditions without screen recording. Remote assessments may also be used for patient and high-risk groups if necessary.
Age
19–75
Sex
ALL
Healthy volunteers
Accepted
