2022
DOI: 10.1093/sleepadvances/zpac029.000
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O001 Providing feedback and guidance on sleep perceptions using sleep wearables improves insomnia: Findings from the randomised Novel Insomnia Treatment Experiment (“NITE”)

Abstract: Study Objectives Insomnia is diagnosed based on self-reported sleep complaints. There are often differences between objectively recorded and self-reported sleep (sleep-wake state discrepancy), which is well-documented but not well understood. This two-arm, parallel-group, single-blind, superiority randomised controlled trial examined whether monitoring sleep using wearable sleep-measurement devices and providing feedback with support for helpful interpretation of objective sleep data improved… Show more

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Cited by 2 publications
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“…Generally, providing feedback on sleep seems to be beneficial regarding insomnia severity and sleep disturbances in individuals with significant insomnia symptoms (Spina et al, 2023). However, it is also important to note, that despite potential improvements in sleep parameters and SOSD, it is not yet fully understood, whether reporting feedback on objective sleep might also possibly result in negative effects, for example, an increase of obsession with sleep due to selected attention, a key pathological feature of insomnia.…”
Section: Discussionmentioning
confidence: 99%
“…Generally, providing feedback on sleep seems to be beneficial regarding insomnia severity and sleep disturbances in individuals with significant insomnia symptoms (Spina et al, 2023). However, it is also important to note, that despite potential improvements in sleep parameters and SOSD, it is not yet fully understood, whether reporting feedback on objective sleep might also possibly result in negative effects, for example, an increase of obsession with sleep due to selected attention, a key pathological feature of insomnia.…”
Section: Discussionmentioning
confidence: 99%
“…Further, recent development of sleep‐measuring wearables sees these devices increasingly integrated into sleep interventions (Glazer Baron et al, 2022). For example, one study provided regular feedback on wearable‐measured sleep for individuals with insomnia (Spina et al, 2023), and another added wearable‐enabled sleep data synchronisation to a digital behavioural therapy to demonstrate greater engagement and improvements in sleep (Aji et al, 2022). Real‐world sleep–wake patterns from wearable devices have also been implemented to recommend personalised sleep schedules to maximise alertness (Song et al, 2023).…”
Section: Gaps and Directionsmentioning
confidence: 99%