Harnessing digital phenotyping to advance university student mental health (Brightline) in Singapore: study protocol for a prospective observational study.
Sakura Ito, Chin-Siang Ang, Onno P Kampman...
https://pubmed.ncbi.nlm.nih.gov/40983586Actively Recruiting
Led by Nanyang Technological University · Updated on 2025-01-15
500
Participants Needed
1
Research Sites
60 weeks
Total Duration
N
Nanyang Technological University
Lead Sponsor
M
Ministry of Health, Singapore
Collaborating Sponsor
Researchers are exploring digital behavioral markers linked to mental health symptoms in university students through an observational study lasting six months. The goal is to identify digital signs associated with conditions like depression, anxiety, stress, and loneliness, develop algorithms to predict mental health states from these markers, and find students at risk for mental health issues. This study uses wearable devices and smartphone sensors to collect detailed data on participants' activities and physiological patterns. Participants will be monitored passively using a Fitbit Charge 6 wearable and smartphone sensors via the Brightline app to gather information such as physical activity, sleep patterns, heart rate, social interactions, finger taps, ambient light, and phone usage. In addition to passive data collection, participants will complete self-report questionnaires at the start of the study and at 1, 3, and 6 months. No active treatments or interventions are given during the study period. Throughout the six months, participants' mental health symptoms and behaviors will be tracked and analyzed using the Patient Health Questionnaire-9 (PHQ-9) at baseline, month 1, month 3, and month 6. This includes monitoring changes in depression and anxiety symptoms. The study will also assess the feasibility of collecting this type of digital data in university students and aims to improve understanding of mental health trends in this population.
CONDITIONS
Brightline: Advancing Mental Health on Campus
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Total: 1 location
1
Nanyang Technological University
Singapore, Singapore, 639798
Actively Recruiting
Z
Zhi Wei Tan, PhD
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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Sakura Ito, Chin-Siang Ang, Onno P Kampman...
https://pubmed.ncbi.nlm.nih.gov/40983586