Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort
This study aimed to identify self-report correlates of central pain augmentation in individuals with knee pain. A subset of participants (n=420) in the Knee Pain and related health In the Community (KPIC) baseline survey undertook pressure pain threshold (PPT) assessments. Items measuring specific t...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
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Lippincott, Williams & Wilkins
2018
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| Online Access: | https://eprints.nottingham.ac.uk/49653/ |
| _version_ | 1848798047762382848 |
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| author | Akin-Akinyosoye, Kehinde Frowd, Nadia Marshall, Laura Stocks, Joanne Fernandes, Gwen Sascha Valdes, Ana M. McWilliams, Daniel F. Zhang, Weiya Doherty, Michael Ferguson, Eamonn Walsh, David A. |
| author_facet | Akin-Akinyosoye, Kehinde Frowd, Nadia Marshall, Laura Stocks, Joanne Fernandes, Gwen Sascha Valdes, Ana M. McWilliams, Daniel F. Zhang, Weiya Doherty, Michael Ferguson, Eamonn Walsh, David A. |
| author_sort | Akin-Akinyosoye, Kehinde |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This study aimed to identify self-report correlates of central pain augmentation in individuals with knee pain. A subset of participants (n=420) in the Knee Pain and related health In the Community (KPIC) baseline survey undertook pressure pain threshold (PPT) assessments. Items measuring specific traits related to central pain mechanisms were selected from the survey based on expert consensus, face validity, item association to underlying constructs measured by originating host questionnaires, adequate targeting and PPT correlations. Pain distribution was reported on a body manikin. A `central pain mechanisms’ factor was sought by factor analysis. Associations of items, the derived factor and originating questionnaires with PPTs were compared. Eight self-report items measuring traits of anxiety, depression, catastrophizing, neuropathic- like pain, fatigue, sleep disturbance, pain distribution and cognitive impact, were identified as likely indices of central pain mechanisms. PPTs were associated with items representing each trait and with their originating scales. Pain distribution classified as “pain below the waist additional to knee pain” was more strongly associated with low PPT than were alternative classifications of pain distribution. A single factor, interpreted as “central pain mechanisms”, was identified across the 8 selected items and explained variation in PPT (R² = 0.17) better than did any originating scale (R² = 0.10 to 0.13). In conclusion, including representative items within a composite self-report tool might help identify people with centrally augmented knee pain. |
| first_indexed | 2025-11-14T20:13:34Z |
| format | Article |
| id | nottingham-49653 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:13:34Z |
| publishDate | 2018 |
| publisher | Lippincott, Williams & Wilkins |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-496532020-05-04T19:31:35Z https://eprints.nottingham.ac.uk/49653/ Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort Akin-Akinyosoye, Kehinde Frowd, Nadia Marshall, Laura Stocks, Joanne Fernandes, Gwen Sascha Valdes, Ana M. McWilliams, Daniel F. Zhang, Weiya Doherty, Michael Ferguson, Eamonn Walsh, David A. This study aimed to identify self-report correlates of central pain augmentation in individuals with knee pain. A subset of participants (n=420) in the Knee Pain and related health In the Community (KPIC) baseline survey undertook pressure pain threshold (PPT) assessments. Items measuring specific traits related to central pain mechanisms were selected from the survey based on expert consensus, face validity, item association to underlying constructs measured by originating host questionnaires, adequate targeting and PPT correlations. Pain distribution was reported on a body manikin. A `central pain mechanisms’ factor was sought by factor analysis. Associations of items, the derived factor and originating questionnaires with PPTs were compared. Eight self-report items measuring traits of anxiety, depression, catastrophizing, neuropathic- like pain, fatigue, sleep disturbance, pain distribution and cognitive impact, were identified as likely indices of central pain mechanisms. PPTs were associated with items representing each trait and with their originating scales. Pain distribution classified as “pain below the waist additional to knee pain” was more strongly associated with low PPT than were alternative classifications of pain distribution. A single factor, interpreted as “central pain mechanisms”, was identified across the 8 selected items and explained variation in PPT (R² = 0.17) better than did any originating scale (R² = 0.10 to 0.13). In conclusion, including representative items within a composite self-report tool might help identify people with centrally augmented knee pain. Lippincott, Williams & Wilkins 2018-02-09 Article PeerReviewed Akin-Akinyosoye, Kehinde, Frowd, Nadia, Marshall, Laura, Stocks, Joanne, Fernandes, Gwen Sascha, Valdes, Ana M., McWilliams, Daniel F., Zhang, Weiya, Doherty, Michael, Ferguson, Eamonn and Walsh, David A. (2018) Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort. PAIN . ISSN 1872-6623 Knee Pain Phenotypes central mechanisms Quantitative Sensory Testing https://insights.ovid.com/crossref?an=00006396-900000000-99036 doi:10.1097/j.pain.0000000000001183 doi:10.1097/j.pain.0000000000001183 |
| spellingShingle | Knee Pain Phenotypes central mechanisms Quantitative Sensory Testing Akin-Akinyosoye, Kehinde Frowd, Nadia Marshall, Laura Stocks, Joanne Fernandes, Gwen Sascha Valdes, Ana M. McWilliams, Daniel F. Zhang, Weiya Doherty, Michael Ferguson, Eamonn Walsh, David A. Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort |
| title | Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort |
| title_full | Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort |
| title_fullStr | Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort |
| title_full_unstemmed | Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort |
| title_short | Traits associated with central pain augmentation in the Knee Pain in the Community (KPIC) cohort |
| title_sort | traits associated with central pain augmentation in the knee pain in the community (kpic) cohort |
| topic | Knee Pain Phenotypes central mechanisms Quantitative Sensory Testing |
| url | https://eprints.nottingham.ac.uk/49653/ https://eprints.nottingham.ac.uk/49653/ https://eprints.nottingham.ac.uk/49653/ |