This study aims to investigate the differences in sleep stages and total sleep duration between individuals diagnosed with sleep bruxism and healthy controls. This will be achieved through the use of smartwatches, which offer advantages such as rapid data acquisition, easy accessibility, long-term monitoring capabilities, and the potential to engage a large number of participants. It is anticipated that the findings of this study will serve as a pioneering effort in utilizing smartwatch applications for the continuous monitoring of sleep bruxism patients. Furthermore, it is expected to provide an alternative methodology for evaluating the impact of bruxism treatments on sleep quality, thereby contributing significantly to the existing literature. As smartwatches become more prevalent in health tracking, it is also envisioned that application developers will increasingly prioritize this area in their software development and updates
Study Type
OBSERVATIONAL
Enrollment
62
Participants will wear a smartwatch to collect sleep stage data and total sleep duration over a specified period.
Cappadocia University Faculty of Dentistry
Nevşehir, Nevşehir Province, Turkey (Türkiye)
Total Sleep Duration
Total time spent sleeping during the night as measured by a smartwatch (minutes). Results reported as the average total sleep duration over 7 consecutive nights.
Time frame: Days 1-7 (average of 7 consecutive nights)
Sleep Stages Distribution
Percentage distribution of sleep stages (NREM1, NREM2, NREM3/Deep, REM) as measured by a smartwatch. Results reported as the average percentage for each stage over 7 consecutive nights.
Time frame: Days 1-7 (average of 7 consecutive nights)
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