NCT06770075

Brief Summary

This observational study will employ a multi-modal observation methodology, integrating data from wearable devices and smartphones to establish comprehensive digital biomarkers for identifying symptoms of mental health conditions in university students. The study aims to identify the digital behavioural markers associated with mental health conditions, develop predictive algorithms for mental health states from digital markers, and identify university students at risk for mental health conditions.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
500

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2025

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 1, 2025

Completed
8 days until next milestone

First Submitted

Initial submission to the registry

January 9, 2025

Completed
4 days until next milestone

First Posted

Study publicly available on registry

January 13, 2025

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2025

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2026

Completed
Last Updated

January 15, 2025

Status Verified

January 1, 2025

Enrollment Period

11 months

First QC Date

January 9, 2025

Last Update Submit

January 13, 2025

Conditions

Keywords

university studentmental healthdigital phenotypingdigital biomarkerspassive sensingrisk predictionmental health seeking

Outcome Measures

Primary Outcomes (1)

  • Patient Health Questionnaire-9 (PHQ-9)

    A nine-item scale assessing depression severity. A higher total score indicates increased depression severity.

    Baseline (Month 0), Interim (Month 1), Mid-point (Month 3), End-point (Month 6)

Secondary Outcomes (7)

  • Generalized Anxiety Disorder-7 (GAD-7)

    Baseline (Month 0), Interim (Month 1), Mid-point (Month 3), End-point (Month 6)

  • Perceived Stress Scale 4 (PSS-4)

    Baseline (Month 0), Interim (Month 1), Mid-point (Month 3), End-point (Month 6)

  • International Positive and Negative Affect Schedule - Short Form (I-PANAS-SF)

    Baseline (Month 0), Interim (Month 1), Mid-point (Month 3), End-point (Month 6)

  • University of California Los Angeles, 3-Item Loneliness Scale (UCLA-3)

    Baseline (Month 0), Interim (Month 1), Mid-point (Month 3), End-point (Month 6)

  • University Stress Scale (USS)

    Baseline (Month 0), Interim (Month 1), Mid-point (Month 3), End-point (Month 6)

  • +2 more secondary outcomes

Study Arms (1)

Undergraduate students

Undergraduate students from Nanyang Technological University

Other: Observational

Interventions

Participants will not receive any study intervention. During the six month study period, participants will complete four active assessments at Months 0, 1, 3 and 6, and data from the study-provided wearable (Fitbit Charge 6) and sensors from the participant's smartphone (through the Brightline app) will be collected passively throughout.

Also known as: There will be no interventions involved in this study.
Undergraduate students

Eligibility Criteria

Age18 Years - 25 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)
Sampling MethodNon-Probability Sample
Study Population

Undergraduate students

You may qualify if:

  • Be aged 18 years or older.
  • Be a current full-time undergraduate student.
  • Own a smartphone with Wi-Fi, 4G, and Bluetooth capabilities.
  • Possess adequate English language proficiency.
  • Be able to download the study apps.
  • Provide informed consent.

You may not qualify if:

  • Are part-time students.
  • Have a current diagnosis of any mental health disorder or a past diagnosis with any bipolar disorder, substance use disorder, or any psychotic disorder.
  • Are currently undergoing mental health treatment.
  • Lack sufficient English proficiency.
  • Report suicidal ideation as indicated by Patient Health Questionnaire (PHQ-9) Item-9, "Thoughts you would be better off dead or of hurting yourself in some way".
  • Cannot commit to wearing a wearable device for the six-month monitoring period.
  • Receive special education accommodations or support from the university.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Nanyang Technological University

Singapore, 639798, Singapore

RECRUITING

Related Publications (1)

  • Ito S, Ang CS, Kampman OP, Rokde K, Buddhika T, Heaukulani C, Tan ZW, Dewanti FA, Au EWM, Huan VS, Morris RJ, Khong AWH, Ho AHY. Harnessing digital phenotyping to advance university student mental health (Brightline) in Singapore: study protocol for a prospective observational study. BMJ Open. 2025 Sep 22;15(9):e103652. doi: 10.1136/bmjopen-2025-103652.

MeSH Terms

Conditions

DepressionAnxiety DisordersPsychological Well-Being

Interventions

Watchful Waiting

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehaviorMental DisordersPersonal Satisfaction

Intervention Hierarchy (Ancestors)

Outcome Assessment, Health CareOutcome and Process Assessment, Health CareQuality of Health CareHealth Services Administration

Study Officials

  • Andy WH Khong, PhD

    Nanyang Technological University

    PRINCIPAL INVESTIGATOR
  • Andy HY Ho, PhD, EdD

    Nanyang Technological University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Zhi Wei Tan, PhD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assoc Prof

Study Record Dates

First Submitted

January 9, 2025

First Posted

January 13, 2025

Study Start

January 1, 2025

Primary Completion

December 1, 2025

Study Completion

March 1, 2026

Last Updated

January 15, 2025

Record last verified: 2025-01

Data Sharing

IPD Sharing
Will not share

Locations