P065 Differentiating sleepiness and fatigue in sleep clinic patients

Abstract Introduction Sleepiness and fatigue are commonly reported symptoms across a range of sleep disorders. Although they differ in underlying mechanisms and carry different treatment implications, these terms are often used interchangeably, making them challenging to distinguish in clinical practice. This study examines whether sleepiness and fatigue represent empirically distinct constructs in individuals seeking treatment for sleep-related concerns. Methods A total of 1550 participants (Mage = 44.56 years, SD = 16.11) recruited from an outpatient sleep clinic completed the Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), and Insomnia Severity Index (ISI) prior to treatment. Confirmatory factor analysis compared a one-factor model of combined sleepiness and fatigue with a two-factor model representing separate but correlated constructs. Results The two-factor model (CFI = .997; RMSEA = .057; SRMR = .044) provided a better fit to the data than the one-factor model (CFI = .953; RMSEA = .239; SRMR = .208). In the preferred model, sleepiness and fatigue latent factors were moderately correlated (.35). Structural equation modelling examined the predictive utility of the two latent factors for insomnia severity. Fatigue independently predicted greater insomnia severity (β = .60, p<.001), whereas sleepiness independently predicted lower insomnia severity (β = –.09, p=.001). Discussion This study revealed that, among treatment-seeking individuals, fatigue and sleepiness emerge as distinct but related experiences with unique relevance for difficulties initiating and maintaining sleep. These findings highlight the importance of assessing both symptom domains in clinical settings, as well as the potential for targeted intervention.

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Publication Details

Journal
SLEEP Advances
Published
2025-10-01
DOI
https://doi.org/10.1093/sleepadvances/zpaf053.125
Primary Topic
Sleep and related disorders
Type
article
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article

P065 Differentiating sleepiness and fatigue in sleep clinic patients

Fidelma Cahill, William J. Saunders, Darren Mansfield, Bei Bei et al.
SLEEP Advances
Sleep and related disorders
article

P065 Differentiating sleepiness and fatigue in sleep clinic patients

Fidelma Cahill, William J. Saunders, Darren Mansfield, Bei Bei, Tim Thornton, Garun S. Hamilton, Andrew Chen, Shihai Lu, Shantha M. W. Rajaratnam, Julie C. Stout, Anne C. Russell, A Li, S Oh, Yee Yung Ng
article en

Abstract

Abstract Introduction Sleepiness and fatigue are commonly reported symptoms across a range of sleep disorders. Although they differ in underlying mechanisms and carry different treatment implications, these terms are often used interchangeably, making them challenging to distinguish in clinical practice. This study examines whether sleepiness and fatigue represent empirically distinct constructs in individuals seeking treatment for sleep-related concerns. Methods A total of 1550 participants (Mage = 44.56 years, SD = 16.11) recruited from an outpatient sleep clinic completed the Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), and Insomnia Severity Index (ISI) prior to treatment. Confirmatory factor analysis compared a one-factor model of combined sleepiness and fatigue with a two-factor model representing separate but correlated constructs. Results The two-factor model (CFI = .997; RMSEA = .057; SRMR = .044) provided a better fit to the data than the one-factor model (CFI = .953; RMSEA = .239; SRMR = .208). In the preferred model, sleepiness and fatigue latent factors were moderately correlated (.35). Structural equation modelling examined the predictive utility of the two latent factors for insomnia severity. Fatigue independently predicted greater insomnia severity (β = .60, p<.001), whereas sleepiness independently predicted lower insomnia severity (β = –.09, p=.001). Discussion This study revealed that, among treatment-seeking individuals, fatigue and sleepiness emerge as distinct but related experiences with unique relevance for difficulties initiating and maintaining sleep. These findings highlight the importance of assessing both symptom domains in clinical settings, as well as the potential for targeted intervention.

SLEEP AdvancesVol. 6(Supplement_1)
Harvard University (US), Monash Health (AU), Monash University (AU)
Openalex Percentile: Top 72%
Sleep and related disorders
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