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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.
Full description
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.
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Inclusion and exclusion criteria
Inclusion Criteria for Patient Group:
Inclusion Criteria for Healthy Control Group:
Inclusion Criteria for Hight Risk Group:
Adults aged 19 to 75 years and 11 months.
No current or past diagnosis of bipolar disorder or major depressive disorder.
Meets either of the following:
A. Scores above the threshold on K-MDQ (≥7) or PHQ-9 (≥5) at baseline. B. Reports persistent mood symptoms during MINI (e.g., ≥2 weeks of depressive mood/anhedonia, or several days of elevated/irritable mood).
Owns a smartphone with stable internet connectivity, can operate it without difficulty, and agrees to install a digital phenotyping application, wear a Fitbit device daily, and complete daily mood logs throughout the study period.
Exclusion Critera (Overall)
540 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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