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Harnessing digital phenotyping to advance university student mental health (Brightline) in Singapore: study protocol for a prospective observational study
Using digital behavior tracking to study mental health in Singapore university students: study plan
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Abstract
A total of 500 university students will be monitored over 6 months using wearable devices and smartphone sensors.
- may enable the identification of behavioral markers linked to mental health issues like depression and anxiety.
- Continuous passive data collection will occur through a wearable device and smartphone app, supplemented by self-reported questionnaires.
- The study aims to develop to identify students at risk of mental health symptoms.
- Data collected will focus on indicators such as stress, loneliness, and emotional well-being among university students.
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Key numbers
500
Sample Size
Total number of university students participating in the study.
6 months
Study Duration
Length of the monitoring period for participants.
50%
Expected Prevalence Rate
Assumed prevalence rate for sample size determination.