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- Title
Subjective sleep assessments are correlated with EEG-related sleep measurements of the first sleep cycle in healthy young adults.
- Authors
Shirota, Ai; Kamimura, Mayo; Katagiri, Ayano; Taniike, Masako; Kato, Takafumi
- Abstract
This study examined whether subjective and objective sleep parameters (sleep stage, electroencephalography [EEG] power, heart rate variability) are related to the progression of sleep cycles using differences in the variables between two nights. We hypothesized that the association between night-to-night differences between subjective and objective sleep variables reflect the difference in objective sleep variables in the first sleep cycle. Seventy-seven healthy adults (23.8 ± 2.2 years; 41 females) participated in polysomnographic recordings on two consecutive nights. To extract the variables that represent the difference between the nights, the sleep parameters of Night 1 were subtracted from those of Night 2. Spearman's rho was used to assess correlations between subjective sleep assessments and objective sleep parameters, with false discovery rate correction for multiple comparisons. Subjective sleep assessments were significantly correlated with whole-night sleep architecture and quantitative EEG activity, but not with heart rate variability during the night. Among sleep cycles, subjective sleep parameters were correlated with the objective sleep parameters in the first sleep cycle ("Ease of falling asleep" vs. waking after sleep onset [r = − 0.382], "Depth of sleep" vs. EEG theta power [r = 0.404], "Quality of sleep" vs. the percentage of stage N3 [r = 0.412] and EEG delta power [r = 0.458], all p < 0.05). These results suggest the importance of taking the difference among the nights into account when assessing subjective sleep quality. This study clarified that sleep in the first sleep cycle has a dominant influence on subjective sleep assessments.
- Subjects
SLEEP-wake cycle; YOUNG adults; HEART beat; SLEEP quality; NON-REM sleep; SLEEP; FALSE discovery rate
- Publication
Sleep & Biological Rhythms, 2023, Vol 21, Issue 2, p211
- ISSN
1446-9235
- Publication type
Article
- DOI
10.1007/s41105-022-00437-x