Status:

ENROLLING_BY_INVITATION

Digital Phenotypes for Predicting Depression

Lead Sponsor:

Korea University Anam Hospital

Collaborating Sponsors:

Korea University Medicine

Hucircadian

Conditions:

Depression - Major Depressive Disorder

Depression Bipolar

Eligibility:

All Genders

19-75 years

Brief Summary

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...

Detailed 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 ...

Eligibility Criteria

Inclusion

  • Inclusion Criteria for Patient Group:
  • Adults aged 19 to 75 years and 11 months.
  • Diagnosed with a major mood disorder (bipolar I or II disorder, or major depressive disorder) based on DSM-5, with a history of psychiatric visits for mood symptoms.
  • Has experienced at least one prior depressive episode (major, minor, or brief).
  • 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.
  • Inclusion Criteria for Healthy Control Group:
  • Adults aged 19 to 75 years and 11 months.
  • No current or past diagnosis of bipolar disorder or major depressive disorder.
  • Scores below clinical thresholds on both K-MDQ (\<7) and PHQ-9 (\<5) at baseline assessment.
  • 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.
  • 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)
  • Inability to provide informed consent due to cognitive impairment, severe psychiatric symptoms, or language barriers.
  • Presence of any neurological or medical condition that may significantly affect mood, cognition, or behavior (e.g., epilepsy, dementia, traumatic brain injury).
  • Current substance use disorder or dependence (excluding nicotine or caffeine) that is either untreated or clinically unstable.
  • Severe suicidal ideation or risk as determined by clinical judgment at screening.
  • Ongoing participation in another interventional clinical trial, particularly those involving psychotropic medications or digital health interventions.
  • Inability or unwillingness to wear a wearable device (Fitbit) or use the required mobile application daily throughout the study.
  • Lack of stable internet access or a compatible smartphone required for digital phenotyping data collection.
  • Any other condition that, in the investigator's judgment, may compromise the participant's safety, compliance, or the integrity of the study data.

Exclusion

    Key Trial Info

    Start Date :

    February 27 2025

    Trial Type :

    OBSERVATIONAL

    Allocation :

    ESTIMATED

    End Date :

    August 31 2026

    Estimated Enrollment :

    540 Patients enrolled

    Trial Details

    Trial ID

    NCT07151846

    Start Date

    February 27 2025

    End Date

    August 31 2026

    Last Update

    September 3 2025

    Active Locations (1)

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    Korea University Anam Hospital

    Seoul, Seongbuk-gu, South Korea, 02841