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Quality of Life Research

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01-08-2013 | Brief Communication

Development of the Italian version of the 42-item Chronic Pain Coping Inventory, CPCI-I: cross-cultural adaptation, factor analysis, reliability and validity

Auteurs: Marco Monticone, Simona Ferrante, Ines Giorgi, Caterina Galandra, Barbara Rocca, Calogero Foti

Gepubliceerd in: Quality of Life Research | Uitgave 6/2013

Abstract

Purpose

The aim of this study was to translate and adapt the Italian version of the Chronic Pain Coping Inventory (CPCI) and validate the translation in subjects with chronic non-specific pain of the locomotor system.

Methods

The questionnaire was developed following international recommendations. The psychometric analyses included factor analysis, reliability by internal consistency (Cronbach’s alpha) and test–retest reliability (intraclass coefficient correlation, ICC), and construct validity by calculating the correlations between the subscales of the CPCI with measures of pain (numerical rating scale, NRS), disability (SIP-Roland Scale) and depression (CES-D) (Pearson’s correlation).

Results

The CPCI was satisfactorily administered to 270 subjects with chronic non-specific pain. Results of confirmatory factor analyses revealed that, of the CPCI-I 8 subscales, 6 demonstrated good data-model fit (CFI and NFI ≥0.90, RMSEA ≤0.08). Cronbach’s alpha was satisfactory in all of the subscales (0.71–0.80); the ICCs were good/excellent in all of the subscales (0.80–0.91). The correlations with the NRS, SIP-Roland and CES-D were poor in most cases as only the CPCI-Guarding subscale moderately correlated with disability (r = 0.31).

Conclusion

The CPCI was successfully translated into Italian and proved to have a good factorial structure and psychometric properties similar to the original and adapted versions. The use of the Italian version of the CPCI is recommended for clinical and research purposes.

vorige artikel Validation of the WHOQOL-BREF quality of life questionnaire for general use in New Zealand: confirmatory factor analysis and Rasch analysis

volgende artikel Development of a short version of the Lee Visual Analogue Fatigue Scale in a sample of women with HIV/AIDS: a Rasch analysis application

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Mahoney, N. D., Devine, J. E., & Angres, D. (1999). Multidisciplinary treatment of benign chronic pain syndrome in substance abusing patients. Current Review of Pain, 3, 321–331.PubMedCrossRef

Jensen, M. P., Turner, J. A., Romano, J. M., & Strom, S. E. (1995). The Chronic Pain Coping Inventory: Development and preliminary validation. Pain, 60, 203–216.PubMedCrossRef

Rosenstiel, A. K., & Keefe, F. J. (1983). The use of coping strategies in chronic low back pain patients: Relationship to patient characteristics and current adjustment. Pain, 17, 33–44.PubMedCrossRef

Hadjistavropoulos, H. D., MacLeod, F. K., & Asmundson, G. J. G. (1999). Validation of the Chronic Pain Coping Inventory. Pain, 80, 471–481.PubMedCrossRef

Romano, J. M., Jensen, M. P., & Turner, J. A. (2003). The Chronic Pain Coping Inventory-42: Reliability and validity. Pain, 104, 65–73.PubMedCrossRef

Ektor-Andersen, J., Orbaek, P., & Isacsson, S. O. (2002). Behaviour-focused pain coping: consistency and convergence to work capability of the Swedish version of the Chronic Pain Coping Inventory. Journal of Rehabilitation Medicine, 34, 33–39.PubMedCrossRef

Garcia-Campayo, J., Pascual, A., Alda, M., & Gonzalez Ramirez, M. T. (2007). Coping with fibromyalgia: usefulness of the Chronic Pain Coping Inventory-42. Pain, 132, S68–S76.PubMedCrossRef

Ko, Y., Park, W. B., & Lim, J. Y. (2010). Cross-cultural adaptation and clinimetric property of Korean version of the Chronic Pain Coping Inventory-42 in patients with chronic low back pain. Spine (Phila Pa 1976), 35(6), 666–671.CrossRef

Truchon, M., Côté, D., & Irachabal, S. (2006). The Chronic Pain Coping Inventory: Confirmatory factor analysis of the French version. BMC Musculoskeletal Disorders, 7, 13.PubMedCrossRef

10.

Wong, W. S., Jensen, M. P., Mak, K. H., Tam, B. K. H., & Fielding, R. (2010). Preliminary psychometric properties of the Chinese version of the Chronic Pain Coping Inventory (ChCPCI) in a Hong Kong Chinese population. Journal of Pain, 11(7), 672–680.PubMedCrossRef

11.

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976), 25, 3186–3189.CrossRef

12.

Mardia, K. (1970). Measures of multivariate skewness and kurtosis with application. Biometrika, 57, 519–530.CrossRef

13.

Kline, R. B. (1998). Principles and practice of structural equation modeling. In D. A. Kenny (Ed.), Methodology in the social sciences. New York: The Guilford Press.

14.

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models. Newbury Park, CA: Sage.

15.

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equation Modeling, 6, 1–55.CrossRef

16.

Terwee, C. B., Bot, S., de Boer, M. R., van der Windt, D. A. W. M., Knol, D. L., Dekker, J., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60, 34–42.PubMedCrossRef

17.

Huskinson, E. C. (1974). Measurement of pain. Lancet, 2, 1127–1131.CrossRef

18.

Salaffi, F., Stancati, A., Silvestri, C. A., Ciapetti, A., & Grassi, W. (2004). Minimal clinically important changes in chronic musculoskeletal pain intensity measured on a numerical rating scale. European Journal of Pain, 8(4), 283–291.PubMedCrossRef

19.

Monticone, M., Baiardi, P., Nava, T., Rocca, B., & Foti, C. (2011). The Italian version of the Sickness Impact Profile-Roland Scale for chronic pain: Cross-cultural adaptation, reliability, validity and sensitivity to change. Disability and Rehabilitation, 33(15–16), 1299–1305.PubMed

20.

Fava, G. A. (1983). Assessing depressive symptoms across cultures: Italian validation of the CES-D self-rating scale. Journal of Clinical Psychology, 39(2), 249–251.PubMedCrossRef

21.

Atkinson, G., & Nevill, A. (1997). Comment on use of concordance correlation to assess the agreement between two variables. Biometrics, 52, 775–777.

22.

Fayers, P. M., & Machin, D. (2007). Quality of life. The assessment, analysis and interpretation of patient-reported outcomes (2nd ed.). Chichester, UK: Wiley.

23.

Bollen, K. A., & Stein, R. A. (1993). Bootstrapping goodness-of-fit measures in structural equation modeling. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation modeling (pp. 11–135). Newbury Park, CA: Sage.

24.

Truchon, M., & Cote′, D. (2005). Predictive validity of the Chronic Pain Coping Inventory in subacute low back pain. Pain, 116, 205–212.PubMedCrossRef

Titel: Development of the Italian version of the 42-item Chronic Pain Coping Inventory, CPCI-I: cross-cultural adaptation, factor analysis, reliability and validity
Auteurs: Marco Monticone
Simona Ferrante
Ines Giorgi
Caterina Galandra
Barbara Rocca
Calogero Foti
Publicatiedatum: 01-08-2013
Uitgeverij: Springer Netherlands
Gepubliceerd in: Quality of Life Research / Uitgave 6/2013
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-012-0271-y

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Abstract

Purpose

Methods

Results

Conclusion

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