FitBit Sleep Monitoring and PSQI Measurement

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Abstract Summary

Sleep disturbance is common and has been found to lead to neurocognitive dysfunctions such as attention problems, depression, anxiety, stress and a lack of impulse control[1]. In order to fully investigate these cognitive and emotional domains, clinicians and researchers rely on self-report measures and actigraphy devices to collect sleep data. Further, there is an increase in use of actigraphy devices in the general public, as more people are interested in objectively tracking various health metrics such as activity and sleep. This trend is expected to grow to approximately ninety-nine million being sold this year (2019)[2]. However, self report measures for sleep monitoring remain the most practical and cost-efficient tool to use in clinical practice. The most widely used of these measures is the Pittsburgh Sleep Quality Index (PSQI). The PSQI is also regarded as having the strongest evidence of reliability and validity in practice[3]. The current study aims to directly compare the results of both sleep quality monitoring via FitBit Alta, a popular device used among the general public, and the PSQI self-report scale among undergraduate students. Variables included hours of sleep and number of awakenings across both PSQI and Fitbit. Results are forthcoming, as data collection is still in progress.

Abstract ID :
UMSS19130
Submission Type
Poster
Abstract Topic
Social Sciences
Submission# :
150
Judge Time Slot :
PM1 (1:00 -2:00)