Brightline: Advancing Mental Health on Campus
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.
Conditions studied
Depression, Anxiety, Stress, Positive Affect, Negative Affect, Loneliness
About this study
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.
Interventions
- Other: Observational — 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.
Primary outcomes
- Patient Health Questionnaire-9 (PHQ-9) (Baseline (Month 0), Interim (Month 1), Mid-point (Month 3), End-point (Month 6))
Eligibility information
Study locations
- Nanyang Technological University, Singapore, 639798 Singapore
Source: ClinicalTrials.gov. Record last refreshed by Varda Clinical: 2026-09-27.