Further validation of the chronic pain coping inventory
Open accessAbstract
Unlabelled Multidisciplinary treatment programs for chronic pain typically emphasize the importance of decreasing maladaptive and encouraging adaptive coping responses. The Chronic Pain Coping Inventory (CPCI), developed to assess coping strategies targeted for change in multidisciplinary pain treatment, is a 64-item instrument that contains 8 subscales: Guarding, Resting, Asking for Assistance, Relaxation, Task Persistence, Exercising/Stretching, Coping Self-Statements, and Seeking Social Support. A previous validation study with 210 patients in a Canadian academic hospital setting supported an 8-factor structure for the CPCI. The current study was undertaken to validate the CPCI among 564 veterans with a more extended history of chronic pain. Patients completed the study questionnaires before multidisciplinary treatment. A confirmatory factor analysis was used to examine the factor structure of the 64-item CPCI. A series of hierarchical multiple regression analyses were performed with depression, pain interference, general activity level, disability, and pain severity as the criterion variables and the 8 CPCI factors as the predictor variables, controlling for pain severity and demographic variables. The confirmatory factor analysis results strongly supported an 8-factor model, and the regression analyses supported the predictive validity of the CPCI scales, as indicated by their association with measures of patient adjustment to chronic pain.Perspective This article validated the 8-factor structure of the CPCI by using a confirmatory factor analysis and a series of linear regressions. The results support the applicability and utility of the CPCI in a heterogeneous population of veterans with severe chronic pain treated in a tertiary teaching hospital. The CPCI provides an important clinical and research tool for the assessment of behavioral pain coping strategies that might have an impact on patient outcomes.
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Generalized positive outcome expectancy, or dispositional optimism, is related to increased feelings of control, use of more active coping strategies, and better functional performance.
“Generalized positive outcome expectancy, or dispositional optimism 348–350, is related to increased feelings of control, the use of more active coping strategies, and better functional performance 91, 351–353.”
From Evaluating psychosocial contributions to chronic pain outcomes (2018) · cites this paper as [353]
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Resmann, E., & Borud, B. (2009) · Lund University Publications Student Papers (Lund University)
- Authors
- Tan, G., Nguyen, Q., Anderson, K. O., Jensen, M., & Thornby, J.
- Affiliations
- Michael E. DeBakey VA Medical Center (US)
- The University of Texas MD Anderson Cancer Center (US)
- University of Washington (US)
- Baylor College of Medicine (US)
- Venue
- The Journal of Pain
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 6
- Issue
- 1
- Pages
- 29-40
- ISSN
- 1526-5900 (ISSN-L)
- OpenAlex
- W2160160027
- Cited by
- 51
- References
- 72
- Citations by year
- 2025: 2 · 2023: 1 · 2022: 3 · 2021: 3 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 1 · 2013: 7 · 2012: 1
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Pain (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pediatric Pain Management Techniques
- Keywords
- chronic pain, coping strategies, multidisciplinary pain management, veterans, factor structure, predictive validity, depression, pain interference, disability, pain intensity, social support, relaxation, task persistence
- MeSH terms
- Activities of Daily Living, Adaptation, Psychological, Adult, Aged, Aged, 80 and over, Chronic Disease, Depression, Disability Evaluation, Family, Female, Hospitals, Veterans, Humans, Male, Middle Aged, Pain, Pain Measurement, Predictive Value of Tests, Psychology, Quality of Life, Surveys and Questionnaires, Regression Analysis, Texas, Reproducibility of Results, Treatment Outcome, Pain Clinics, Pain Management
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