‘How Did You Sleep Last Night?’: Predicting Young Adults’ Subjective Sleep Quality Through the Use of Multi-night Ambulatory Sleep EEG

These findings underscore sleep macro-architecture's role in predicting self-reported sleep quality and highlight the diverse responses characterized by measuring sleep quality. Given the ubiquity of assessing sleep quality as well as its importance in predicting individual functioning, the current findings elucidate sleep quality's neurophysiological underpinnings by identifying critical similarities and differences across low- and high-quality sleep. Statement of Significance This study employed an ecologically valid multi-night ambulatory EEG design across 10 consecutive nights to identify sleep macro-architecture's role in predicting self-reported sleep quality. The findings serve to elucidate the neurophysiological underpinnings of sleep quality by identifying critical similarities and differences across low- and high-quality sleep in healthy, young adults. In addition to highlighting the dynamic inter-relations between sleep staging and sleep quality across time, the current study demonstrates the importance of understanding myriad trait-like predictors of subjective sleep quality.

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Publication Details

Journal
SLEEP
Published
2026-03-12
DOI
https://doi.org/10.1093/sleep/zsag074
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

‘How Did You Sleep Last Night?’: Predicting Young Adults’ Subjective Sleep Quality Through the Use of Multi-night Ambulatory Sleep EEG

Jamie M. Zeitzer, Ronald D. Rogge, Jack S. Peltz
SLEEP
Sleep and related disorders
article

‘How Did You Sleep Last Night?’: Predicting Young Adults’ Subjective Sleep Quality Through the Use of Multi-night Ambulatory Sleep EEG

Jamie M. Zeitzer, Ronald D. Rogge, Jack S. Peltz
article en

Abstract

These findings underscore sleep macro-architecture's role in predicting self-reported sleep quality and highlight the diverse responses characterized by measuring sleep quality. Given the ubiquity of assessing sleep quality as well as its importance in predicting individual functioning, the current findings elucidate sleep quality's neurophysiological underpinnings by identifying critical similarities and differences across low- and high-quality sleep. Statement of Significance This study employed an ecologically valid multi-night ambulatory EEG design across 10 consecutive nights to identify sleep macro-architecture's role in predicting self-reported sleep quality. The findings serve to elucidate the neurophysiological underpinnings of sleep quality by identifying critical similarities and differences across low- and high-quality sleep in healthy, young adults. In addition to highlighting the dynamic inter-relations between sleep staging and sleep quality across time, the current study demonstrates the importance of understanding myriad trait-like predictors of subjective sleep quality.

SLEEP
VA Palo Alto Health Care System (US), Canadian Sleep & Circadian Network (CA), SUNY Brockport (US), University of Rochester (US)
Openalex Percentile: Top 27%
Sleep and related disorders
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