Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis
Abstract. Introduction:. Factors contributing to individual differences in knee osteoarthritis remain elusive. Dispositional traits and socioeconomic status are independent predictors of mental and physical health, although significant variability remains. Dispositional traits serve as the biologica...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer
2025-02-01
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| Series: | PAIN Reports |
| Online Access: | http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000001225 |
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| author | Angela M. Mickle Jared J. Tanner Udell Holmes, III Ahmed Rashid Olivier Barolette Brittany Addison Nicola Sambuco Cynthia Garvan Song Lai Christoph Seubert Siegfried Schmidt Roland Staud Jeffrey C. Edberg David Redden Burel R. Goodin Catherine C. Price Roger B. Fillingim Kimberly T. Sibille |
| author_facet | Angela M. Mickle Jared J. Tanner Udell Holmes, III Ahmed Rashid Olivier Barolette Brittany Addison Nicola Sambuco Cynthia Garvan Song Lai Christoph Seubert Siegfried Schmidt Roland Staud Jeffrey C. Edberg David Redden Burel R. Goodin Catherine C. Price Roger B. Fillingim Kimberly T. Sibille |
| author_sort | Angela M. Mickle |
| collection | DOAJ |
| description | Abstract. Introduction:. Factors contributing to individual differences in knee osteoarthritis remain elusive. Dispositional traits and socioeconomic status are independent predictors of mental and physical health, although significant variability remains. Dispositional traits serve as the biological interface for life experiences.
Objectives:. We investigate group differences based on dispositional traits and poverty status, specific to (1) pain intensity and functional limitations and (2) biological measures, a clinical composite and brain age.
Methods:. Adults aged 45 to 85 years with knee pain associated with chronic musculoskeletal pain provided information on demographics, socioeconomic and psychosocial factors, pain, and physical function. Kellgren–Lawrence scores were determined from knee radiographs, the clinical composite from fasting blood draws, and brain age from MRI data.
Results:. One hundred seventy-three individuals participated in the study. Of those, 117 had protective dispositional traits (81 above poverty/36 in poverty), and 56 had vulnerable dispositional traits (24 above poverty/32 in poverty). With sex, study site, Kellgren–Lawrence score, and age/or image quality as covariates, significant group differences were observed across clinical pain (P < 0.001), functional limitations (P ≤ 0.001), and brain age (P ≤ 0.002) measures. Although not significant, the clinical composite measure aligned with the other outcome measures and demonstrated the hormesis inverted U pattern.
Conclusions:. Groups based on dispositional traits and socioeconomic status explain differing clinical outcomes. Consistent with the allostatic load and hormesis inverted U models, one group was in an adaptive health status, 2 groups were showing signs of developing load, and the fourth group showing signs of overload, at risk of worse health outcomes. |
| format | Article |
| id | doaj-art-8e0be5a1d70142479e1729a6aa866f31 |
| institution | Kabale University |
| issn | 2471-2531 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | PAIN Reports |
| spelling | doaj-art-8e0be5a1d70142479e1729a6aa866f312025-01-24T09:20:44ZengWolters KluwerPAIN Reports2471-25312025-02-01101e122510.1097/PR9.0000000000001225PR90000000000001225Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritisAngela M. Mickle0Jared J. Tanner1Udell Holmes, III2Ahmed Rashid3Olivier Barolette4Brittany Addison5Nicola Sambuco6Cynthia Garvan7Song Lai8Christoph Seubert9Siegfried Schmidt10Roland Staud11Jeffrey C. Edberg12David Redden13Burel R. Goodin14Catherine C. Price15Roger B. Fillingim16Kimberly T. Sibille17a Department of Physical Medicine & Rehabilitation, College of Medicine, University of Florida, Gainesville, FL, USAc Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USAc Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USAa Department of Physical Medicine & Rehabilitation, College of Medicine, University of Florida, Gainesville, FL, USAa Department of Physical Medicine & Rehabilitation, College of Medicine, University of Florida, Gainesville, FL, USAa Department of Physical Medicine & Rehabilitation, College of Medicine, University of Florida, Gainesville, FL, USAc Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USAd Department of Anesthesiology, Division of Pain Medicine, University of Florida, Gainesville, FL, USAe Department of Radiation Oncology & CTSI Human Imaging Core, University of Florida, Gainesville, FL, USAd Department of Anesthesiology, Division of Pain Medicine, University of Florida, Gainesville, FL, USAf Department of Community Health and Family Medicine, College of Medicine, University of Florida, Gainesville, FL, USAg Department of Rheumatology, College of Medicine, University of Florida, Gainesville, FL, USAh Department of Medicine, Division of Clinical Immunology & Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USAi Department of Biostatistics, The University of Alabama at Birmingham, Birmingham, AL, USAj Department of Anesthesia, Washington University, St. Louis, MO, USAc Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USAb Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, USAa Department of Physical Medicine & Rehabilitation, College of Medicine, University of Florida, Gainesville, FL, USAAbstract. Introduction:. Factors contributing to individual differences in knee osteoarthritis remain elusive. Dispositional traits and socioeconomic status are independent predictors of mental and physical health, although significant variability remains. Dispositional traits serve as the biological interface for life experiences. Objectives:. We investigate group differences based on dispositional traits and poverty status, specific to (1) pain intensity and functional limitations and (2) biological measures, a clinical composite and brain age. Methods:. Adults aged 45 to 85 years with knee pain associated with chronic musculoskeletal pain provided information on demographics, socioeconomic and psychosocial factors, pain, and physical function. Kellgren–Lawrence scores were determined from knee radiographs, the clinical composite from fasting blood draws, and brain age from MRI data. Results:. One hundred seventy-three individuals participated in the study. Of those, 117 had protective dispositional traits (81 above poverty/36 in poverty), and 56 had vulnerable dispositional traits (24 above poverty/32 in poverty). With sex, study site, Kellgren–Lawrence score, and age/or image quality as covariates, significant group differences were observed across clinical pain (P < 0.001), functional limitations (P ≤ 0.001), and brain age (P ≤ 0.002) measures. Although not significant, the clinical composite measure aligned with the other outcome measures and demonstrated the hormesis inverted U pattern. Conclusions:. Groups based on dispositional traits and socioeconomic status explain differing clinical outcomes. Consistent with the allostatic load and hormesis inverted U models, one group was in an adaptive health status, 2 groups were showing signs of developing load, and the fourth group showing signs of overload, at risk of worse health outcomes.http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000001225 |
| spellingShingle | Angela M. Mickle Jared J. Tanner Udell Holmes, III Ahmed Rashid Olivier Barolette Brittany Addison Nicola Sambuco Cynthia Garvan Song Lai Christoph Seubert Siegfried Schmidt Roland Staud Jeffrey C. Edberg David Redden Burel R. Goodin Catherine C. Price Roger B. Fillingim Kimberly T. Sibille Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis PAIN Reports |
| title | Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis |
| title_full | Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis |
| title_fullStr | Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis |
| title_full_unstemmed | Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis |
| title_short | Applying evidence-based cross-disciplinary concepts helps to explain the heterogeneity in pain, function, and biological measures in individuals with knee pain with/at risk of osteoarthritis |
| title_sort | applying evidence based cross disciplinary concepts helps to explain the heterogeneity in pain function and biological measures in individuals with knee pain with at risk of osteoarthritis |
| url | http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000001225 |
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