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Adaptive goal-setting approaches for sleep management in Dutch older adults

Schuurman, T.R.D. (2025) Adaptive goal-setting approaches for sleep management in Dutch older adults.

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Abstract:This study explored the feasibility of an adaptive goal-setting feature for sleep duration and quality within a custom mobile application for older adults, as part of the MOCIA project. Eleven participants used a Garmin vívosmart® 5 for 15 days and completed a daily questionnaire about their perceived sleep quality. A custom algorithm combined objective and subjective data to generate personalized sleep recommendations. Despite some limitations, 31% of sleep durations were not returned, and only 40% matched self-reported durations within ±45 minutes, 3 out of 11 participants showed improvements across all measured domains. These included more consistent sleep duration, better perceived sleep quality, fewer nightly toilet visits, and quicker sleep onset. Five additional participants improved in most areas. Most participants preferred behavior-based recommendations over fixed goals and appreciated visual feedback. Technical issues with the OnePlanet Research app led to two dropouts and some user frustration. A switch to the Garmin Health API via the Garmin Connect app is suggested as a more stable alternative, despite potential drawbacks. Overall, the study shows promise in supporting positive sleep behavior change, contributing to the maintenance and enhancement of cognitive health in older adults.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Programme:Biomedical Technology BSc (56226)
Link to this item:https://purl.utwente.nl/essays/106381
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