Identifying at-risk university students: A system for longitudinal monitoring of sleep health

TY - CONF

T1 - Identifying at-risk university students: A system for longitudinal monitoring of sleep health

AU - Bojic, I

AU - Liu, J

AU - Ong, QC

AU - Lawate, A

AU - Palaiyan, M

AU - Lwin, M

AU - Abisheganaden, J

AU - Theng, YL

AU - Ho, M-HR

AU - Chia, MYH

AU - Car, J

PY - 2023/8/23

Y1 - 2023/8/23

N2 - A significant percentage of university students reported poor sleep quality due to various factors. This affects their academic performance, mental well-being, and overall health. To address this, we propose a real-time monitoring system that can effectively identify students at risk of poor sleep quality. Our system utilizes two modes of continuous data collection (i.e., consumer-grade wearables and sleep diary) to inform both students and university well-being centers about sleep quality characteristics over the past week. Incorporating both subjective and objective measures facilitates a more holistic appraisal of sleep quality. We conducted a validation study in which we collected sleep health data from university students for four weeks to show how the proposed system could be implemented. The results of our study showed that it is feasible to implement the proposed system, although no agreement between the two modes of data collection was found. This calls for future research efforts aimed at devising a composite metric that harmoniously combines these two modes.

AB - A significant percentage of university students reported poor sleep quality due to various factors. This affects their academic performance, mental well-being, and overall health. To address this, we propose a real-time monitoring system that can effectively identify students at risk of poor sleep quality. Our system utilizes two modes of continuous data collection (i.e., consumer-grade wearables and sleep diary) to inform both students and university well-being centers about sleep quality characteristics over the past week. Incorporating both subjective and objective measures facilitates a more holistic appraisal of sleep quality. We conducted a validation study in which we collected sleep health data from university students for four weeks to show how the proposed system could be implemented. The results of our study showed that it is feasible to implement the proposed system, although no agreement between the two modes of data collection was found. This calls for future research efforts aimed at devising a composite metric that harmoniously combines these two modes.

U2 - 10.1109/ICDH60066.2023.00029

DO - 10.1109/ICDH60066.2023.00029

M3 - Paper

SP - 143

EP - 149

ER -