The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain
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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Self-citationThe facial expression of pain in patients with dementia
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Painful data: The UNBC-McMaster shoulder pain expression archive database
Lucey, P., Cohn, J. F., Prkachin, K. M., Solomon, P. E., & Matthews, I. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771462 · Cited by 634
Self-citationCorneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527
The painful face – Pain expression recognition using active appearance models
Ashraf, A. B., Lucey, S., Cohn, J. F., Chen, T., Ambadar, Z., Prkachin, K. M., & Solomon, P. E. (2009) · Image and Vision Computing · doi:10.1016/j.imavis.2009.05.007 · Cited by 355
Self-citationPain assessment in elderly adults with dementia
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Self-citationGender Biases in Estimation of Others’ Pain
Zhang, L., Losin, E. A. R., Ashar, Y. K., Koban, L., & Wager, T. D. (2021) · Journal of Pain · doi:10.1016/j.jpain.2021.03.001 · Cited by 315
Metadata
- Authors
- Prkachin, K. M., & Solomon, P. E.
- Affiliations
- University of Northern British Columbia (CA)
- McMaster University (CA)
- Corresponding author
- Prkachin, Kenneth M.
- ORCID
- Solomon, Patricia E.
- Venue
- Pain
- Published
- 2008-10-15
- Volume
- 139
- Issue
- 2
- Pages
- 267-274
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2106043670
- Cited by
- 472
- References
- 31
- Citations by year
- 2026: 29 · 2025: 27 · 2024: 39 · 2023: 27 · 2022: 29 · 2021: 44 · 2020: 40 · 2019: 37 · 2018: 41 · 2017: 21 · 2016: 33 · 2015: 32 · 2014: 24 · 2013: 16 · 2012: 7
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pediatric Pain Management Techniques
- Health Sciences › Medicine › Physiology (medical) › Pain Mechanisms and Treatments
- Keywords
- pain expression, facial expressions of pain, shoulder pain, facial action units, facial action coding system, test-retest reliability, concurrent validity, self-reported pain, range of motion
- MeSH terms
- Facial Expression, Female, Humans, Male, Middle Aged, Pain Measurement, Psychometrics, Sensitivity and Specificity, Reproducibility of Results, Expressed Emotion, Evidence-Based Medicine, Shoulder Pain
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