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267.Modeling the Effects of Sleep Arousals on Sleep Quality Using a Day Reconstruction Method. Although sleep arousals have been known to haveadverse effects on sleep quality, quantifying the influence of arousals on sleep quality is limited by the lack of an appropriate method. The objective of
the present study is to examine whether the conventional day reconstruction method could be an appropriate approach in modeling the effects of sleep
arousals on sleep quality. Twenty-nine participants kept sleep logs for 2 weeks and slept in lab on weekdays and over the course of weekend days. The
participants' sleep quality was rated based on these sleep logs. The arousal index (i.e., number of sleep arousals per hour of sleep) was calculated usinghour-by-hour sleep data. The participants were then classified into 3 arousal groups based on the arousal index, and then, each sleep log was recreated toexamine the relationship between the sleep quality rating and sleep quality. We found that the sleep quality rating gradually deteriorated as the numberof sleep arousals increased, whereas the sleep quality rating was the highest when no sleep arousals occurred. We also found that the average sleep
quality rating decreased as the number of sleep arousals per hour of sleep increased and that the sleep quality rating trend over 2 weeks was the same asthat in the morning or the evening. Additionally, we determined a threshold for predicting sleep quality, with the threshold calculated to be an arousal
index equal to or greater than 45. Our results support that sleep arousals have adverse effects on sleep quality and that this effect was not relieved bysleep. This study proposes a new approach that considers arousal periods as additive factors in a probabilistic Bayesian multiple regression model, andthese findings could serve as a basis for improving current practices in measuring the effects of sleep arousals on sleep quality.
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