2021
DOI: 10.1016/j.sleep.2021.02.033
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Arousability as a trait predisposition to insomnia: multidimensional structure and clinical utility of the Spanish and English versions of the Arousal Predisposition Scale

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Cited by 4 publications
(4 citation statements)
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“…Although insomnia subtype comparison was underpowered, participants with isolated middle insomnia had a similar proportion of low AT as compared to other insomnia subtypes. Arousability is a trait of insomnia that can be defined as the physiological, cognitive, emotional, and behavioral responsiveness of individuals to particular variations in environmental conditions, particularly stressful ones 6 . Arousability can be determined using self-reported instruments 24 and has been associated with insomnia severity as measured by the ISI 6,25 .…”
Section: Discussionmentioning
confidence: 99%
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“…Although insomnia subtype comparison was underpowered, participants with isolated middle insomnia had a similar proportion of low AT as compared to other insomnia subtypes. Arousability is a trait of insomnia that can be defined as the physiological, cognitive, emotional, and behavioral responsiveness of individuals to particular variations in environmental conditions, particularly stressful ones 6 . Arousability can be determined using self-reported instruments 24 and has been associated with insomnia severity as measured by the ISI 6,25 .…”
Section: Discussionmentioning
confidence: 99%
“…Arousability is a trait of insomnia that can be defined as the physiological, cognitive, emotional, and behavioral responsiveness of individuals to particular variations in environmental conditions, particularly stressful ones 6 . Arousability can be determined using self-reported instruments 24 and has been associated with insomnia severity as measured by the ISI 6,25 . The similar proportion of low AT between COMISA and OSA-only participants and among isolated middle and other insomnia subtypes suggest that the higher arousability found among insomnia participants is a different phenomenon than the ventilatoty effort-related arousal threshold.…”
Section: Discussionmentioning
confidence: 99%
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“…In this study, we calculated the FC between significant differential brain regions and the seed. We evaluated the ability of this FC to identify ID using ROC curves and calculated the areas under curves (AUC) ( Michaud et al, 2021 ; Puzino et al, 2021 ). Furthermore, we compared the ability of FC within the Default Mode Network (DMN) and the biomarker discovered using the Thalamo-cortical seed region to differentiate ID patients.…”
Section: Methodsmentioning
confidence: 99%