Polysomnography-based Sleep Regularity Assessment of a Single Healthy Individual
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2021-12-16
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en
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he adverse effects of poor sleep quality have been in the spotlight for decades. Day to day sleep regularity plays a significant role in sleep quality and has been highlighted as a novel risk factor for health implications such cardiovascular disease, obesity, insulin resistance, type 2 diabetes and breast cancer. In spite of this, sleep quality research often focuses on sleep duration and timing. The lack of research can be partly explained by the challenges accurate sleep regularity investigation poses. Sleep regularity has been assessed previously with the use of actigraphy. In this study, longitudinal polysomnography data was used, enabling a deep level of sleep regularity investigation, including specific NREM sleep, REM sleep, slow wave sleep and light sleep regularity. With the regularity index and the use of easy-to-use sleep wearables mapping longitudinal sleep structure will be highly accurate, detailed and efficient, providing insight in not only factors like duration and timing but also regularity, which has been shown to play an important part in healthy sleep.
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Faculteit der Sociale Wetenschappen