Literature DB >> 25168671

Pain communication through body posture: the development and validation of a stimulus set.

Joseph Walsh1, Christopher Eccleston2, Edmund Keogh2.   

Abstract

Pain can be communicated nonverbally through facial expressions, vocalisations, and bodily movements. Most studies have focussed on the facial display of pain, whereas there is little research on postural display. Stimulus sets for facial and vocal expressions of pain have been developed, but there is no equivalent for body-based expressions. Reported here is the development of a new stimulus set of dynamic body postures that communicate pain and basic emotions. This stimulus set is designed to facilitate research into the bodily communication of pain. We report a 3-phase development and validation study. First 16 actors performed affective body postures for pain, as well as happiness, sadness, fear, disgust, surprise, anger, and neutral expressions. Second, 20 observers independently selected the best image stimuli based on the accuracy of emotion identification and valence/arousal ratings. Third, to establish reliability, this accuracy and valence rating procedure was repeated with a second independent group of 40 participants. A final set of 144 images with good reliability was established and is made available. Results demonstrate that pain, along with basic emotions, can be communicated through body posture. Cluster analysis demonstrates that pain and emotion are recognised with a high degree of specificity. In addition, pain was rated as the most unpleasant (negative valence) of the expressions, and was associated with a high level of arousal. For the first time, specific postures communicating pain are described. The stimulus set is provided as a tool to facilitate the study of nonverbal pain communication, and its possible uses are discussed.
Copyright © 2014 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Body posture; Communication; Nonverbal behaviour; Pain

Mesh:

Year:  2014        PMID: 25168671     DOI: 10.1016/j.pain.2014.08.019

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


  5 in total

1.  The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset.

Authors:  Min S H Aung; Sebastian Kaltwang; Bernardino Romera-Paredes; Brais Martinez; Aneesha Singh; Matteo Cella; Michel Valstar; Hongying Meng; Andrew Kemp; Moshen Shafizadeh; Aaron C Elkins; Natalie Kanakam; Amschel de Rothschild; Nick Tyler; Paul J Watson; Amanda C de C Williams; Maja Pantic; Nadia Bianchi-Berthouze
Journal:  IEEE Trans Affect Comput       Date:  2015-07-30       Impact factor: 10.506

2.  Head movements and postures as pain behavior.

Authors:  Philipp Werner; Ayoub Al-Hamadi; Kerstin Limbrecht-Ecklundt; Steffen Walter; Harald C Traue
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

3.  Accurate empathy of romantic partners increases pain ratings but promotes recovery.

Authors:  Binghai Sun; Lingyan Zhou; Weilong Xiao; Xiaoqian Zhao; Wenhai Zhang; Weijian Li
Journal:  Psychol Res Behav Manag       Date:  2018-09-27

4.  Interpersonal problem behavior and low back pain.

Authors:  Constanze Borys; Steffi Nodop; Christoph Anders; Robin Tutzschke; Hans Christoph Scholle; Andrea Thomas; Uwe Altmann; Bernhard Strauss
Journal:  PLoS One       Date:  2018-11-15       Impact factor: 3.240

5.  The role of observer's fear of pain and health anxiety in empathy for pain: an experimental study.

Authors:  Danijela Serbic; Lucy Ferguson; Georgina Nichols; Michaela Smith; Georgina Thomas; Tamar Pincus
Journal:  Br J Pain       Date:  2019-04-08
  5 in total

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