The University of Southampton
University of Southampton Institutional Repository

Attentional bias towards pain-related information in chronic pain; a meta-analysis of visual-probe investigations

Attentional bias towards pain-related information in chronic pain; a meta-analysis of visual-probe investigations
Attentional bias towards pain-related information in chronic pain; a meta-analysis of visual-probe investigations
Research investigating the presence of attentional bias in chronic pain has produced mixed results. The purpose of this review is to summarise former research using the visual-probe task to explore attentional bias in pain populations, and meta-analyse the results of controlled investigations comparing individuals with chronic pain to healthy controls. Ten eligible studies were included in this analysis (chronic pain n = 515, control n = 314). Overall, individuals with chronic pain were found to show significantly greater bias towards pain-related information compared to controls, with an effect size of .36 (Hedge's adjusted g). The time-course of attentional bias was also explored, with evidence found for significant bias during stages of initial orienting of attention (effect size .29) and maintained attention (effect size .42). Bias therefore appears more pronounced during later stages of attention, possibly arising from processes of rumination. It is important for future research to fully explore the role attentional bias plays in the causation and maintenance of chronic pain, and the potential consequences bias may have upon quality of life
chronic pain, attentional bias, visual probe task, time-course
0272-7358
13-25
Schoth, Daniel E.
73f3036e-b8cb-40b2-9466-e8e0f341fdd5
Nunes, Vanessa Delgado
138ef637-dc53-44c4-9e7a-37462f872baa
Liossi, Christina
fd401ad6-581a-4a31-a60b-f8671ffd3558
Schoth, Daniel E.
73f3036e-b8cb-40b2-9466-e8e0f341fdd5
Nunes, Vanessa Delgado
138ef637-dc53-44c4-9e7a-37462f872baa
Liossi, Christina
fd401ad6-581a-4a31-a60b-f8671ffd3558

Schoth, Daniel E., Nunes, Vanessa Delgado and Liossi, Christina (2012) Attentional bias towards pain-related information in chronic pain; a meta-analysis of visual-probe investigations. Clinical Psychology Review, 32 (1), 13-25. (doi:10.1016/j.cpr.2011.09.004). (PMID:22100743)

Record type: Article

Abstract

Research investigating the presence of attentional bias in chronic pain has produced mixed results. The purpose of this review is to summarise former research using the visual-probe task to explore attentional bias in pain populations, and meta-analyse the results of controlled investigations comparing individuals with chronic pain to healthy controls. Ten eligible studies were included in this analysis (chronic pain n = 515, control n = 314). Overall, individuals with chronic pain were found to show significantly greater bias towards pain-related information compared to controls, with an effect size of .36 (Hedge's adjusted g). The time-course of attentional bias was also explored, with evidence found for significant bias during stages of initial orienting of attention (effect size .29) and maintained attention (effect size .42). Bias therefore appears more pronounced during later stages of attention, possibly arising from processes of rumination. It is important for future research to fully explore the role attentional bias plays in the causation and maintenance of chronic pain, and the potential consequences bias may have upon quality of life

Text
Schoth,_Nunes,_&_Liossi_2012.pdf - Other
Restricted to Repository staff only
Request a copy

More information

e-pub ahead of print date: 17 September 2011
Published date: February 2012
Keywords: chronic pain, attentional bias, visual probe task, time-course
Organisations: Psychology

Identifiers

Local EPrints ID: 202195
URI: http://eprints.soton.ac.uk/id/eprint/202195
ISSN: 0272-7358
PURE UUID: 23f7a70e-9d9b-4fa3-8609-c9f6584a0087
ORCID for Christina Liossi: ORCID iD orcid.org/0000-0003-0627-6377

Catalogue record

Date deposited: 04 Nov 2011 10:13
Last modified: 15 Mar 2024 03:24

Export record

Altmetrics

Contributors

Author: Vanessa Delgado Nunes

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×