Social cues influence perception of others' pain.


Journal

European journal of pain (London, England)
ISSN: 1532-2149
Titre abrégé: Eur J Pain
Pays: England
ID NLM: 9801774

Informations de publication

Date de publication:
26 Dec 2023
Historique:
revised: 30 10 2023
received: 25 07 2023
accepted: 08 12 2023
medline: 26 12 2023
pubmed: 26 12 2023
entrez: 26 12 2023
Statut: aheadofprint

Résumé

Accurately perceiving other people's pain is important in both daily life and healthcare settings. However, judging other's pain is inherently difficult and can be biased by various social and cultural factors. Here, we examined whether perception of others' pain and pain management recommendations are socially influenced by seeing the opinions of other raters. In Experiment 1 (N = 50), participants rated pictures depicting injured hands or feet of pre-selected high, medium and low intensities. Each picture was preceded by cues indicating ratings of 10 previous participants. Cues were randomized to indicate low (Social Experiment 1 revealed that perceivers' pain estimates were significantly and substantially higher for stimuli following Social Together, these studies reveal that judgements of others' pain are robustly modulated by information about others' opinions. Future research could test the prevalence and strength of such effects in clinical settings. The present study shows that even arbitrary opinions of other raters influence the perception of others' pain. This finding adds new insight into the growing evidence of social and cultural biases in pain estimation.

Sections du résumé

BACKGROUND BACKGROUND
Accurately perceiving other people's pain is important in both daily life and healthcare settings. However, judging other's pain is inherently difficult and can be biased by various social and cultural factors. Here, we examined whether perception of others' pain and pain management recommendations are socially influenced by seeing the opinions of other raters.
METHODS METHODS
In Experiment 1 (N = 50), participants rated pictures depicting injured hands or feet of pre-selected high, medium and low intensities. Each picture was preceded by cues indicating ratings of 10 previous participants. Cues were randomized to indicate low (Social
RESULTS RESULTS
Experiment 1 revealed that perceivers' pain estimates were significantly and substantially higher for stimuli following Social
CONCLUSIONS CONCLUSIONS
Together, these studies reveal that judgements of others' pain are robustly modulated by information about others' opinions. Future research could test the prevalence and strength of such effects in clinical settings.
SIGNIFICANCE CONCLUSIONS
The present study shows that even arbitrary opinions of other raters influence the perception of others' pain. This finding adds new insight into the growing evidence of social and cultural biases in pain estimation.

Identifiants

pubmed: 38146898
doi: 10.1002/ejp.2225
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 European Pain Federation - EFIC ®.

Références

Asch, S. E. (1956). Studies of independence and conformity: I. A minority of one against a unanimous majority. Psychological Monographs: General and Applied, 70(9), 1-70. https://doi.org/10.1037/h0093718
Bajcar, E. A., Bieniek, H., Brączyk, J., & Bąbel, P. (2023). From past pain to future pain through the pain of others: Information about other people's pain ratings can alleviate our subsequent pain. European Journal of Pain, 27(3), 378-389.
Baker, C. L., Saxe, R., & Tenenbaum, J. B. (2009). Action understanding as inverse planning. Cognition, 113(3), 329-349.
Berns, G. S., Capra, C. M., Moore, S., & Noussair, C. (2010). Neural mechanisms of the influence of popularity on adolescent ratings of music. NeuroImage, 49(3), 2687-2696. https://doi.org/10.1016/j.neuroimage.2009.10.070
Berns, G. S., Chappelow, J., Zink, C. F., Pagnoni, G., Martin-Skurski, M. E., & Richards, J. (2005). Neurobiological correlates of social conformity and independence during mental rotation. Biological Psychiatry, 58(3), 245-253. https://doi.org/10.1016/j.biopsych.2005.04.012
Campbell-Meiklejohn, D. K., Bach, D. R., Roepstorff, A., Dolan, R. J., & Frith, C. D. (2010). How the opinion of others affects our valuation of objects. Current Biology, 20(13), 1165-1170. https://doi.org/10.1016/j.cub.2010.04.055
Carré, A., Stefaniak, N., D'Ambrosio, F., Bensalah, L., & Besche-Richard, C. (2013). The basic empathy scale in adults (BES-A): Factor structure of a revised form. Psychological Assessment, 25(3), 679-691. https://doi.org/10.1037/a0032297
Colloca, L., & Benedetti, F. (2009). Placebo analgesia induced by social observational learning. Pain, 144(1-2), 28-34. https://doi.org/10.1016/j.pain.2009.01.033
Craig, K. D., & Prkachin, K. M. (1978). Social modeling influences on sensory decision theory and psychophysiological indexes of pain. Journal of Personality and Social Psychology, 36, 805-815. https://doi.org/10.1037/0022-3514.36.8.805
Cremeans-Smith, J. K., Stephens, M. A. P., Franks, M. M., Martire, L. M., Druley, J. A., & Wojno, W. C. (2003). Spouses' and physicians' perceptions of pain severity in older women with osteoarthritis: Dyadic agreement and patients' well-being. Pain, 106(1-2), 27-34. https://doi.org/10.1016/S0304-3959(03)00268-9
Davis, M. H. (1980). A multidimensional approach to individual differences in empathy. JSAS Catalog of Selected Documents in Psychology, 10, 85.
Dirupo, G., Totaro, S., Richard, J., & Corradi-Dell'Acqua, C. (2021). Medical education and distrust modulate the response of insular-cingulate network and ventral striatum in pain diagnosis. eLife, 10, e63272. https://doi.org/10.7554/eLife.63272
Goubert, L., Vlaeyen, J. W., Crombez, G., & Craig, K. D. (2011). Learning about pain from others: An observational learning account. The Journal of Pain, 12(2), 167-174. https://doi.org/10.1016/j.jpain.2010.10.001
Hadjistavropoulos, T., Herr, K., Prkachin, K. M., Craig, K. D., Gibson, S. J., Lukas, A., & Smith, J. H. (2014). Pain assessment in elderly adults with dementia. The Lancet Neurology, 13(12), 1216-1227.
Hoffman, K. M., Trawalter, S., Axt, J. R., & Oliver, M. N. (2016). Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites. Proceedings of the National Academy of Sciences of the United States of America, 113(16), 4296-4301.
Hollingshead, N. A., Matthias, M. S., Bair, M. J., & Hirsh, A. T. (2015). Impact of race and sex on pain management by medical trainees: A mixed methods pilot study of decision making and awareness of influence. Pain Medicine, 16(2), 280-290.
Houlihan, S. D., Kleiman-Weiner, M., Hewitt, L. B., Tenenbaum, J. B., & Saxe, R. (2023). Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A, 381(2251), 20220047.
Jackson, P. L., Brunet, E., Meltzoff, A. N., & Decety, J. (2006). Empathy examined through the neural mechanisms involved in imagining how I feel versus how you feel pain. Neuropsychologia, 44(5), 752-761. https://doi.org/10.1016/j.neuropsychologia.2005.07.015
Kappesser, J., & Williams, A. C. D. C. (2010). Pain estimation: Asking the right questions. Pain, 148(2), 184-187. https://doi.org/10.1016/j.pain.2009.10.007
Kappesser, J., Williams, A. C. D. C., & Prkachin, K. M. (2006). Testing two accounts of pain underestimation. Pain, 124(1-2), 109-116. https://doi.org/10.1016/j.pain.2006.04.003
Klucharev, V., Hytönen, K., Rijpkema, M., Smidts, A., & Fernández, G. (2009). Reinforcement learning signal predicts social conformity. Neuron, 61(1), 140-151. https://doi.org/10.1016/j.neuron.2008.11.027
Koban, L., Jepma, M., Geuter, S., & Wager, T. D. (2017). What's in a word? How instructions, suggestions, and social information change pain and emotion. Neuroscience & Biobehavioral Reviews, 81, 29-42. https://doi.org/10.1016/j.neubiorev.2017.02.014
Koban, L., Jepma, M., López-Solà, M., & Wager, T. D. (2019). Different brain networks mediate the effects of social and conditioned expectations on pain. Nature Communications, 10(1), 1-13. https://doi.org/10.1038/s41467-019-11934-y
Koban, L., & Wager, T. D. (2016). Beyond conformity: Social influences on pain reports and physiology. Emotion, 16(1), 24-32. https://doi.org/10.1037/emo0000087
Krishnan, A., Woo, C. W., Chang, L. J., Ruzic, L., Gu, X., López-Solà, M., Jackson, P. L., Pujol, J., Fan, J., & Wager, T. D. (2016). Somatic and vicarious pain are represented by dissociable multivariate brain patterns. eLife, 5, e15166. https://doi.org/10.7554/eLife.15166.001
Krueger, J., & Clement, R. W. (1994). The truly false consensus effect: An ineradicable and egocentric bias in social perception. Journal of Personality and Social Psychology, 67(4), 596-610.
Lorenz, J., Rauhut, H., Schweitzer, F., & Helbing, D. (2011). How social influence can undermine the wisdom of crowd effect. Proceedings of the National Academy of Sciences of the United States of America, 108(22), 9020-9025. https://doi.org/10.1073/pnas.1008636108
Losin, E. A. R., Woo, C. W., Medina, N. A., Andrews-Hanna, J. R., Eisenbarth, H., & Wager, T. D. (2020). Neural and sociocultural mediators of ethnic differences in pain. Nature Human Behaviour, 4(5), 517-530. https://doi.org/10.1038/s41562-020-0819-8
Lucey, P., Cohn, J. F., Prkachin, K. M., Solomon, P. E., & Matthews, I. (2011, March). Painful data: The UNBC-McMaster shoulder pain expression archive database. In 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG) (pp. 57-64). IEEE. https://doi.org/10.1109/FG.2011.5771462
Mason, M. F., Dyer, R., & Norton, M. I. (2009). Neural mechanisms of social influence. Organizational Behavior and Human Decision Processes, 110(2), 152-159. https://doi.org/10.1016/j.obhdp.2009.04.001
Mazza, G. L., Smyth, H. L., Bissett, P. G., Canning, J. R., Eisenberg, I. W., Enkavi, A. Z., Gonzalez, O., Kim, S. J., Metcalf, S. A., Muniz, F., Pelham, W. E., Scherer, E. A., Valente, M. J., Xie, H., Poldrack, R. A., Marsch, L. A., & MacKinnon, D. P. (2021). Correlation database of 60 cross-disciplinary surveys and cognitive tasks assessing self-regulation. Journal of Personality Assessment, 103(2), 238-245.
Mende-Siedlecki, P., Lin, J., Ferron, S., Gibbons, C., Drain, A., & Goharzad, A. (2021). Seeing no pain: Assessing the generalizability of racial bias in pain perception. Emotion, 21(5), 932-950.
Nook, E. C., Ong, D. C., Morelli, S. A., Mitchell, J. P., & Zaki, J. (2016). Prosocial conformity: Prosocial norms generalize across behavior and empathy. Personality and Social Psychology Bulletin, 42(8), 1045-1062. https://doi.org/10.1177/0146167216649932
Platow, M. J., Voudouris, N. J., Gilford, N., Jamieson, R., Najdovski, L., Papaleo, N., Chelsea, P., & Terry, L. (2007). In-group reassurance in a pain setting produces lower levels of physiological arousal: Direct support for a self-categorization analysis of social influence. European Journal of Social Psychology, 37(4), 649-660. https://doi.org/10.1002/ejsp.381
Reicherts, P., Gerdes, A. B. M., Pauli, P., & Wieser, M. J. (2013). On the mutual effects of pain and emotion: Facial pain expressions enhance pain perception and vice versa are perceived as more arousing when feeling pain. Pain, 154(6), 793-800. https://doi.org/10.1016/j.pain.2013.02.012
Schäfer, G., Prkachin, K. M., Kaseweter, K. A., & de C Williams, A. C. (2016). Health care providers' judgments in chronic pain: The influence of gender and trustworthiness. Pain, 157(8), 1618-1625. https://doi.org/10.1097/j.pain.0000000000000536
Schenk, L. A., Krimmel, S. R., & Colloca, L. (2017). Observe to get pain relief: Current evidence and potential mechanisms of socially learned pain modulation. Pain, 158, 2077-2081. https://doi.org/10.1097/j.pain.0000000000000943
Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47(5), 609-612.
Surowiecki, J. (2004). The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. Doubleday & Co.
Świder, K., & Bąbel, P. (2013). The effect of the sex of a model on nocebo hyperalgesia induced by social observational learning. Pain, 154(8), 1312-1317.
Toi, M., & Batson, C. D. (1982). More evidence that empathy is a source of altruistic motivation. Journal of Personality and Social Psychology, 43(2), 281-292. https://doi.org/10.1037/0022-3514.43.2.281
Vachon-Presseau, E., Roy, M., Woo, C. W., Kunz, M., Martel, M. O., Sullivan, M. J., Jackson, P. L., Wager, T. D., & Rainville, P. (2016). Multiple faces of pain: Effects of chronic pain on the brain regulation of facial expression. Pain, 157(8), 1819-1830. https://doi.org/10.1097/j.pain.0000000000000587
Wandner, L. D., Heft, M. W., Lok, B. C., Hirsh, A. T., George, S. Z., Horgas, A. L., Atchison, J. W., Torres, C. A., & Robinson, M. E. (2014). The impact of patients' gender, race, and age on health care professionals' pain management decisions: An online survey using virtual human technology. International Journal of Nursing Studies, 51(5), 726-733. https://doi.org/10.1016/j.ijnurstu.2013.09.011
Willroth, E. C., Koban, L., & Hilimire, M. R. (2017). Social information influences emotional experience and late positive potential response to affective pictures. Emotion, 17(4), 572-576. https://doi.org/10.1037/emo0000289
Yoshida, W., Seymour, B., Koltzenburg, M., & Dolan, R. J. (2013). Uncertainty increases pain: Evidence for a novel mechanism of pain modulation involving the periaqueductal gray. Journal of Neuroscience, 33(13), 5638-5646. https://doi.org/10.1523/JNEUROSCI.4984-12.2013
Zaki, J. (2014). Empathy: A motivated account. Psychological Bulletin, 140(6), 1608-1647. https://doi.org/10.1037/a0037679
Zaki, J., Schirmer, J., & Mitchell, J. P. (2011). Social influence modulates the neural computation of value. Psychological Science, 22(7), 894-900. https://doi.org/10.1177/0956797611411057
Zhang, L., Losin, E. A. R., Ashar, Y. K., Koban, L., & Wager, T. D. (2021). Gender biases in estimation of others' pain. The Journal of Pain, 22(9), 1048-1059. https://doi.org/10.1016/j.jpain.2021.03.001

Auteurs

Lanlan Zhang (L)

Department of Public Teaching, Guangzhou Sport University, Guangzhou, China.

Tor D Wager (TD)

Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, USA.

Leonie Koban (L)

Lyon Neuroscience Research Center, CNRS, Inserm, Université Claude Bernard Lyon 1, Bron, France.

Classifications MeSH