Literature DB >> 18502049

The structure, reliability and validity of pain expression: evidence from patients with shoulder pain.

Kenneth M Prkachin1, Patricia E Solomon.   

Abstract

The present study examined psychometric properties of facial expressions of pain. A diverse sample of 129 people suffering from shoulder pain underwent a battery of active and passive range-of-motion tests to their affected and unaffected limbs. The same tests were repeated on a second occasion. Participants rated the maximum pain induced by each test on three self-report scales. Facial actions were measured with the Facial Action Coding System. Several facial actions discriminated painful from non-painful movements; however, brow-lowering, orbit tightening, levator contraction and eye closing appeared to constitute a distinct, unitary action. An index of pain expression based on these actions demonstrated test-retest reliability and concurrent validity with self-reports of pain. The findings support the concept of a core pain expression with desirable psychometric properties. They are also consistent with the suggestion of individual differences in pain expressiveness. Reasons for varying reports of relations between pain expression and self-reports in previous studies are discussed.

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Mesh:

Year:  2008        PMID: 18502049     DOI: 10.1016/j.pain.2008.04.010

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  58 in total

1.  Automatically Detecting Pain Using Facial Actions.

Authors:  Patrick Lucey; Jeffrey Cohn; Simon Lucey; Iain Matthews; Sridha Sridharan; Kenneth M Prkachin
Journal:  Int Conf Affect Comput Intell Interact Workshops       Date:  2009-12-08

2.  Estimating smile intensity: A better way.

Authors:  Jeffrey M Girard; Jeffrey F Cohn; Fernando De la Torre
Journal:  Pattern Recognit Lett       Date:  2015-11-15       Impact factor: 3.756

3.  Facial expression as an indicator of pain in critically ill intubated adults during endotracheal suctioning.

Authors:  Mamoona Arif Rahu; Mary Jo Grap; Jeffrey F Cohn; Cindy L Munro; Debra E Lyon; Curtis N Sessler
Journal:  Am J Crit Care       Date:  2013-09       Impact factor: 2.228

4.  Automatically detecting pain in video through facial action units.

Authors:  Patrick Lucey; Jeffrey F Cohn; Iain Matthews; Simon Lucey; Sridha Sridharan; Jessica Howlett; Kenneth M Prkachin
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  2010-11-22

Review 5.  Assessing pain by facial expression: facial expression as nexus.

Authors:  Kenneth M Prkachin
Journal:  Pain Res Manag       Date:  2009 Jan-Feb       Impact factor: 3.037

6.  Automatic detection of pain intensity.

Authors:  Zakia Hammal; Jeffrey F Cohn
Journal:  Proc ACM Int Conf Multimodal Interact       Date:  2012-10

7.  The influence of communicative relations on facial responses to pain: does it matter who is watching?

Authors:  Anna Julia Karmann; Stefan Lautenbacher; Florian Bauer; Miriam Kunz
Journal:  Pain Res Manag       Date:  2014-01-15       Impact factor: 3.037

8.  Beholders' sensorimotor engagement enhances aesthetic rating of pictorial facial expressions of pain.

Authors:  Martina Ardizzi; F Ferroni; F Siri; M A Umiltà; A Cotti; M Calbi; E Fadda; D Freedberg; V Gallese
Journal:  Psychol Res       Date:  2018-08-03

9.  Spontaneous facial expression in unscripted social interactions can be measured automatically.

Authors:  Jeffrey M Girard; Jeffrey F Cohn; Laszlo A Jeni; Michael A Sayette; Fernando De la Torre
Journal:  Behav Res Methods       Date:  2015-12

10.  Racial differences in pain treatment and empathy in a Canadian sample.

Authors:  Kimberley A Kaseweter; Brian B Drwecki; Kenneth M Prkachin
Journal:  Pain Res Manag       Date:  2012 Nov-Dec       Impact factor: 3.037

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