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Enrolling by invitationNCT07880015Updated Oct 19, 2026

Digital Phenotypes for Predicting Depression_Validation

An observational study in Major Depressive Disorder, Bipolar I Disorder and Bipolar II Disorder, sponsored by Korea University Anam Hospital. Enrolling by invitation at 1 site in South Korea. Open to participants aged 19 Years to 75 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-19.

Sponsored by Korea University Anam Hospital · Observational

Updated Oct 19, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
200
Ages
19 Years to 75 Years
Sex
All
01

Study summary

This 12-month, single-site prospective observational study will prospectively monitor the recurrence of mood episodes while continuously collecting passive digital phenotypes in individuals with and without mood disorders. A total of 200 adults will be enrolled, including 100 patients with major depressive disorder or bipolar I/II disorder and 100 healthy control participants. Participants will complete five clinical assessments at 3-month intervals and will continuously wear a consumer wearable device and use the My Mental HERO smartphone application for passive sensing and daily mood recording. Structured clinical interviews will identify the occurrence, subtype, and day-level onset and offset of mood episodes during follow-up.

The study will examine longitudinal digital phenotypes associated with mood states and subsequent mood episode onset. It is designed to provide an independent validation dataset for digital phenotypes and prediction models developed in the preceding MentalHERO prospective observational cohort (ClinicalTrials.gov Identifier: NCT07151846). Because the two cohorts follow closely aligned study protocols and assessment schedules, data from both cohorts may also be pooled for secondary analyses where appropriate.

Read the detailed description

This is a single-site, 12-month prospective observational study conducted at Korea University Anam Hospital. A total of 200 participants will be enrolled, including 100 patients with DSM-5 major depressive disorder, bipolar I disorder, or bipolar II disorder and 100 healthy control participants.

Participants will be classified into the patient or comparison group according to prespecified eligibility criteria, and both groups will undergo the same 12-month prospective follow-up. Throughout the study, participants will continuously wear a Fitbit Charge 6 and will complete five scheduled clinical assessments at baseline and months 3, 6, 9, and 12.

Clinical assessments will include structured diagnostic and mood-episode interviews, clinician-rated measures of depressive and manic symptom severity, and self-report assessments of mood, sleep, circadian rhythms, anxiety, functioning, and related clinical characteristics.

Throughout the study period, participants will continuously use the My Mental HERO smartphone application in conjunction with the wearable device. Passive digital phenotypes will include heart rate, heart-rate variability, sleep, physical activity, GPS, ambient light, smartphone use, and communication-related metadata. Participants will also complete a brief daily eMoodChart assessing mood, energy, anxiety, irritability, alcohol use, medication adherence, and menstrual-cycle status where applicable.

At each follow-up assessment, a structured mood-episode interview will be conducted to identify mood episodes occurring since the previous visit. For each suspected episode, trained raters will establish onset and offset dates, assess DSM-5 criterion symptoms and functional impairment, determine the predominant mood pole, document relevant specifiers, and assign an episode-level Clinical Global Impression rating. Episode classifications will be adjudicated using available clinical records, eMoodChart data, and other clinical information.

The primary scientific objective of the study is to characterize digital phenotypes associated with mood episodes and to evaluate whether passive behavioral and physiological features can identify mood states and predict clinician-adjudicated mood episode onset. The dataset is specifically intended to serve as an independent validation cohort for digital phenotypes and prediction models developed in the preceding MentalHERO prospective observational cohort (ClinicalTrials.gov Identifier: NCT07151846). Because the present study uses a closely aligned design, assessment schedule, clinical evaluation framework, and digital phenotyping protocol, data from the two cohorts may also be pooled for secondary analyses when scientifically appropriate.

02

Conditions studied

  • Major Depressive Disorder
  • Bipolar I Disorder
  • Bipolar II Disorder
  • Mood Disorders

Keywords

  • Digital phenotyping
  • Passive sensing
  • Wearable electronic devices
  • Mood episode
  • Mood episode recurrence
  • Circadian rhythm
  • Smartphone sensing
  • Heart rate
  • Sleep
  • Physical activity
  • Bipolar disorder
  • Major depressive disorder
  • Artificial intelligence
  • Personalized prediction
03

In context

Depressive Disorder, Major

2,805 studies on the registry are indexed under Depressive Disorder, Major; 565 are open to participants now.

This study's planned enrollment of 200 is above the median of 135 across 365 observational studies indexed under Depressive Disorder, Major.

Browse Depressive Disorder, Major studies →

Lead sponsor

Korea University Anam Hospital is the lead sponsor of 111 studies on the registry; 30 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
19 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

This prospective observational study will enroll 200 adults aged 19-75 years, comprising 100 patients with mood disorders and 100 healthy control participants. The patient group will include individuals with DSM-5 major depressive disorder, bipolar I disorder, or bipolar II disorder who have experienced at least one major depressive episode. The healthy control group will include individuals with no current or past diagnosis of major depressive disorder or bipolar disorder, a baseline PHQ-9 score \<5, and no past or current persistent mood symptoms.

Both groups will participate in the same 12-month prospective follow-up, including continuous wearable- and smartphone-based digital phenotyping and scheduled clinical assessments at 3-month intervals. Participants are recruited at Korea University Anam Hospital and affiliated recruitment settings according to the prespecified eligibility criteria.

Eligibility criteria

Patient group

  1. Adults aged 19-75 years.
  2. Meets DSM-5 diagnostic criteria for major depressive disorder, bipolar I disorder, or bipolar II disorder, and has a history of visiting a psychiatric clinic for symptoms related to the disorder.
  3. Has experienced at least one major depressive episode in the past.
  4. Owns and is able to use an internet-connected smartphone and agrees to wear the study-provided wearable device daily throughout the study period and to complete daily mood recordings through the digital phenotyping application.

Healthy control group

  1. Adults aged 19-75 years.
  2. Has no current or past diagnosis of major depressive disorder, bipolar I disorder, or bipolar II disorder.
  3. Has a baseline Patient Health Questionnaire-9 (PHQ-9) score \<5.
  4. Owns and is able to use an internet-connected smartphone and agrees to wear the study-provided wearable device daily throughout the study period and to complete daily mood recordings through the digital phenotyping application.

Exclusion Criteria Patient group

  1. Has experienced symptoms suggestive of depression or bipolar disorder in the past but has never received a psychiatric diagnosis for these symptoms.
  2. Has a history of moderate or severe intellectual disability.
  3. Has a current or past history of head trauma associated with loss of consciousness, a degenerative neurological disease, or an organic neurological disorder, including stroke, epilepsy, traumatic brain injury, multiple sclerosis, Alzheimer's disease, or Parkinson's disease.
  4. Has difficulty reading or understanding Korean.
  5. Has difficulty using a smartphone to an extent that may interfere with study participation, or does not have continuous internet access through the smartphone.
  6. Is judged by the principal investigator to have difficulty identifying mood episodes or independently evaluating mood-episode symptoms.

Healthy control group

  1. Has past or current persistent mood symptoms, defined as depressed mood or loss of interest lasting at least 2 weeks, or elevated or irritable mood lasting several days or longer.
  2. Has a history of psychiatric consultation or treatment, including for psychiatric conditions other than major depressive disorder or bipolar disorder.
  3. Has a baseline PHQ-9 score ≥5.
  4. Has a history of moderate or severe intellectual disability.
  5. Has a current or past history of head trauma associated with loss of consciousness, a degenerative neurological disease, or an organic neurological disorder, including stroke, epilepsy, traumatic brain injury, multiple sclerosis, Alzheimer's disease, or Parkinson's disease.
  6. Has difficulty reading or understanding Korean.
  7. Has difficulty using a smartphone to an extent that may interfere with study participation, or does not have continuous internet access through the smartphone.
  8. Is judged by the principal investigator to have difficulty identifying mood episodes or independently evaluating mood-episode symptoms.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
200 participants (estimated)
Target follow-up
12 Months
Patient registry
Yes

Groups and cohorts

  • Patient group

    Adults (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.

  • Healthy Control

    Adults aged 19-75 years with no current or lifetime diagnosis of major depressive disorder, bipolar I disorder, or bipolar II disorder, a baseline PHQ-9 score \<5, and no past or current persistent mood symptoms.

06

What researchers measure

Primary outcomes

  1. Area Under the Receiver Operating Characteristic Curve (AUROC) for Prediction of Clinician-Adjudicated Depressive Episode Onset

    The predictive performance of the digital phenotype-based model developed using the preceding MentalHERO cohort will be evaluated in the present independent prospective cohort. Clinician-adjudicated depressive episode onset during follow-up will be used as the reference outcome. Model discrimination will be assessed using the area under the receiver operating characteristic curve (AUROC), with higher values indicating better discrimination.

    Time frame: From baseline through Month 12

Secondary outcomes

  1. Area Under the Precision-Recall Curve (AUPRC) for Prediction of Clinician-Adjudicated Depressive Episode Onset

    Model performance will be evaluated using the area under the precision-recall curve (AUPRC), which summarizes the trade-off between precision and recall for prediction of clinician-adjudicated depressive episode onset. Higher values indicate better predictive performance.

    Time frame: From baseline through Month 12

  2. Sensitivity for Prediction of Clinician-Adjudicated Depressive Episode Onset

    Sensitivity will be calculated as the proportion of depressive episode onsets correctly identified by the prediction model using the prespecified model decision threshold.

    Time frame: From baseline through Month 12

  3. Specificity for Prediction of Clinician-Adjudicated Depressive Episode Onset

    Specificity will be calculated as the proportion of non-episode observations correctly classified by the prediction model using the prespecified model decision threshold.

    Time frame: From baseline through Month 12

  4. Accuracy for Prediction of Clinician-Adjudicated Depressive Episode Onset

    Overall classification accuracy of the prediction model will be evaluated against clinician-adjudicated depressive episode status.

    Time frame: From baseline through Month 12

  5. Time-Dependent AUC for Early Prediction of Depressive Episode Onset

    The ability of the digital phenotype-based prediction model to identify impending depressive episode onset 3-7 days in advance will be assessed using time-dependent area under the curve (AUC).

    Time frame: From baseline through Month 12

  6. Occurrence of Clinician-Adjudicated Depressive Episodes

    The occurrence and day-level onset and offset of depressive episodes during follow-up will be determined through structured inter-visit mood-episode assessment and clinician adjudication using available clinical information and daily mood records.

    Time frame: From baseline through Month 12

Other outcomes

  1. Longitudinal Depressive Symptom Severity Measured by the Patient Health Questionnaire-9 (PHQ-9)

    Depressive symptom severity will be assessed using the Patient Health Questionnaire-9 (PHQ-9). Total scores range from 0 to 27, with higher scores indicating greater depressive symptom severity. Longitudinal changes across scheduled study visits will be examined.

    Time frame: Baseline and Months 3, 6, 9, and 12

  2. Longitudinal Depressive Symptom Severity Measured by the Korean Montgomery-Åsberg Depression Rating Scale (K-MADRS)

    Clinician-rated depressive symptom severity will be assessed using the K-MADRS in the patient group, with higher scores indicating greater depressive symptom severity.

    Time frame: Baseline and Months 3, 6, 9, and 12

  3. Longitudinal Manic Symptom Severity Measured by the Young Mania Rating Scale (YMRS)

    Clinician-rated manic symptom severity will be assessed using the Young Mania Rating Scale (YMRS) in the patient group, with higher scores indicating greater manic symptom severity.

    Time frame: Baseline and Months 3, 6, 9, and 12

  4. Associations Between Passive Digital Phenotypes and Depressive Episode Status

    Longitudinal wearable- and smartphone-derived digital phenotypes, including sleep, physical activity, heart rate, heart-rate variability, circadian rhythm, mobility, ambient light exposure, and smartphone-use features, will be examined for associations with clinician-adjudicated depressive episode status and episode onset.

    Time frame: From baseline through Month 12

07

Study locations

1 site
  • Korea University Anam Hospital
    Seoul, Seongbuk-gu 02841, South Korea
08

References and documents

Study documents

  • Study protocol · Jul 2, 2026

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 19, 2026
Show all 1 update
  1. Oct 19, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07880015
Collaborators
Korea University Medicine, Hucircadian
Responsible party
Heon-Jeong Lee, MD, PhD (Professor, Korea University Anam Hospital) — Principal investigator
First posted
Oct 19, 2026
Start date
May 13, 2026
Primary completion
Oct 30, 2027 (estimated)
Completion
Oct 30, 2027 (estimated)
Last update
Oct 19, 2026

Study contacts

Heon-Jeong Lee, Professor
principal investigator · Korea University Anam Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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