Correlates of sleep variability in a mobile EEG-based volunteer study.

Of these nominally significant ( p < 0.01) correlations, only age effects survived a stringent control for multiple testing, a finding replicated using the two alternative sleep variability metrics as well.

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Thus, the use of nonparametric correlation confirms that age and daytime napping have the most profound effects on sleep variability, although some specific napping effects fell short of significance.

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