Akram, Umair, Beattie, L, Ypsilanti, A , Reidy, J, Robson, A, Chapman, AJ and Barclay, NL (2018) Sleep-related attentional bias for tired faces in insomnia: Evidence from a dot-probe paradigm. Behaviour Research and Therapy, 103 . pp. 18-23. ISSN 0005-7967
Full content URL: https://doi.org/10.1016/j.brat.2018.01.007
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AB Insomnia Accepted.pdf - Whole Document Available under License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International. 492kB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
People with insomnia often display an attentional bias for sleep-specific stimuli. However, prior studies have mostly utilized sleep-related words and images, and research is yet to examine whether people with insomnia display an attentional bias for sleep-specific (i.e. tired appearing) facial stimuli. This study aimed to examine whether individuals with insomnia present an attentional bias for sleep-specific faces depicting tiredness compared to normal-sleepers. Additionally, we aimed to determine whether the presence of an attentional bias was characterized by vigilance or disengagement. Forty-one individuals who meet the DSM-5 criteria for Insomnia Disorder and 41 normal-sleepers completed a dot-probe task comprising of neutral and sleep-specific tired faces. The results demonstrated that vigilance and disengagement scores differed significantly between the insomnia and normal-sleeper groups. Specifically, individuals with insomnia displayed difficulty in both orienting to and disengaging attention from tired faces compared to normal-sleepers. Using tired facial stimuli, the current study provides novel evidence that insomnia is characterized by a sleep-related attentional bias. These outcomes support cognitive models of insomnia by suggesting that individuals with insomnia monitor tiredness in their social environment.
Keywords: | Insomnia, Attentional Bias, Dot Probe, Tired faces |
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Subjects: | C Biological Sciences > C800 Psychology |
Divisions: | College of Social Science > School of Psychology |
ID Code: | 52600 |
Deposited On: | 20 Dec 2022 14:21 |
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