“Sleep-wake state discrepancy”: toward a common understanding and standardized nomenclature

Bensen-Boakes, Darah-Bree; Lovato, Nicole; Meaklim, Hailey; Bei, Bei; Scott, Hannah

doi:10.1093/sleep/zsac187

Cited by 9 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The difference between self-reported and objectively measured sleep parameters is known in the literature as sleep-state misperception [ 12–14 ], paradoxical insomnia [ 15–17 ], or sleep discrepancy [ 18–20 ]. In this manuscript, we will use the term sleep–wake state discrepancy [ 21 ] to define differences that occur when comparing objectively recorded versus self-reported sleep data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Does changing perceptions of sleep by incorporating sleep wearables improve insomnia? Protocol for a randomized study (the Novel Insomnia Treatment Experiment)

et al. 2023

Self Cite

View full text Add to dashboard Cite

Study Objectives Insomnia is common in the general population and is diagnosed based on self-reported sleep complaints. There is often discrepancy between objectively recorded and self-reported sleep (sleep-wake state discrepancy), especially in individuals with insomnia. Although sleep-wake state discrepancy is well-documented in the literature, it is not well understood. This protocol describes the methodology of a randomised controlled which will examine whether providing monitoring and feedback about objectively recorded sleep with support for interpretation of sleep-wake state discrepancy improves insomnia symptoms and will explore the potential mechanisms of change. Methods Participants are 90 individuals with insomnia symptoms (Insomnia Severity Index ≥ 10). Participants will be randomized to one of two conditions: (a) Intervention: feedback about objectively recorded sleep (actigraph and optional EEG headband) with guidance for data interpretation; (b) Control: sleep hygiene session. Both conditions will involve individual sessions and two check-in calls. The primary outcome is Insomnia Severity Index score. Secondary outcomes include sleep-related impairment, symptoms of anxiety and depression, and other sleep and quality of life measures. Outcomes will be assessed using validated instruments at baseline and post-intervention. Discussion With increasing wearable devices that measure sleep, there is a need to understand how sleep data provided by these devices could be utilised in the treatment of insomnia. Findings from this study have the potential to better understand sleep-wake state discrepancy in insomnia and uncover new approaches to supplement current insomnia treatment.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Measurement-related aspects include differences in how tools assess sleep, as each tool infers sleep in a different way (e.g. polysomnography from electroencephalogram signals, actigraphy from activity and movement) [ 21 ]. Cognitive-related aspects include sleep-related worries and selective monitoring [ 42 , 43 ].…”

Section: Introductionmentioning

confidence: 99%