Predictability of sleep in insomnia: sleep patterns of patients from a sleep psychology clinic

The present study aims at identifying sleep patterns in insomnia in a clinical sample using three strategies to define poor nights. Sleep diaries and self-reported questionnaires were collected from 77 clinical patients with insomnia. The conditional probabilities of observing a poor night after 1, 2, or 3 consecutive poor nights were computed according to three strategies with same criteria for sleep onset latency, wake after sleep onset, and sleep efficiency, but varying criterion for total sleep time. Latent profile analyses were conducted to derive sleep patterns. Uni- and multivariate analyses were conducted to characterise the sleep patterns identified. A total of 1586 nights were analysed. The strategy used significantly influenced the average percentage of reported poor nights. Two to three sleep patterns were derived per strategy. Within each strategy, sleep patterns differed from each other on sleep variables and night-to-night variability. Results suggest the existence of sleep patterns in insomnia among individuals consulting in psychological clinics. Adding a total sleep time of 6-h cut-off as a criterion to define poor nights increases the accuracy of the strategy to define poor night and allows to identify sleep patterns of poor nights in insomnia.

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Publication Details

Journal
Journal of Sleep Research
Published
2024-09-26
DOI
https://doi.org/10.1111/jsr.14369
Citations
2
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
1.02
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article

Predictability of sleep in insomnia: sleep patterns of patients from a sleep psychology clinic

Célyne Bastien, Hans Ivers, Dave Tremblay-Laroche, Annie Vallières
2 citations
Journal of Sleep Research
Sleep and related disorders
1.02
article

Predictability of sleep in insomnia: sleep patterns of patients from a sleep psychology clinic

Célyne Bastien, Hans Ivers, Dave Tremblay-Laroche, Annie Vallières
article en
2 citations

Abstract

The present study aims at identifying sleep patterns in insomnia in a clinical sample using three strategies to define poor nights. Sleep diaries and self-reported questionnaires were collected from 77 clinical patients with insomnia. The conditional probabilities of observing a poor night after 1, 2, or 3 consecutive poor nights were computed according to three strategies with same criteria for sleep onset latency, wake after sleep onset, and sleep efficiency, but varying criterion for total sleep time. Latent profile analyses were conducted to derive sleep patterns. Uni- and multivariate analyses were conducted to characterise the sleep patterns identified. A total of 1586 nights were analysed. The strategy used significantly influenced the average percentage of reported poor nights. Two to three sleep patterns were derived per strategy. Within each strategy, sleep patterns differed from each other on sleep variables and night-to-night variability. Results suggest the existence of sleep patterns in insomnia among individuals consulting in psychological clinics. Adding a total sleep time of 6-h cut-off as a criterion to define poor nights increases the accuracy of the strategy to define poor night and allows to identify sleep patterns of poor nights in insomnia.

Journal of Sleep ResearchVol. 34(3)
Université Laval (CA)
No poverty
Openalex Percentile: Top 21%
Sleep and related disorders
1.02
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