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Pain Research and Management
Volume 19 (2014), Issue 3, Pages 153-158
Original Article

The 27-Item Coping Strategies Questionnaire — Revised: Confirmatory Factor Analysis, Reliability and Validity in Italian-Speaking Subjects with Chronic Pain

Marco Monticone,1 Simona Ferrante,2 Ines Giorgi,3 Caterina Galandra,3 Barbara Rocca,1 and Calogero Foti4

1Physical Medicine and Rehabilitation Unit, Salvatore Maugeri Foundation IRCCS, Institute of Care and Research, Scientific Institute of Lissone, Italy
2Neuroengineering and Medical Robotics Laboratory, Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy
3Operative Unit of Psychology, Salvatore Maugeri Foundation, Institute of Care and Research, Scientific Institute of Pavia, Pavia, Italy
4Physical Medicine and Rehabilitation, Tor Vergata University of Rome, Rome, Italy

Copyright © 2014 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


BACKGROUND: Increasing attention is being devoted to cognitive-behavioural measures to improve interventions for chronic pain.

OBJECTIVE: To develop an Italian version of the Coping Strategies Questionnaire – Revised (CSQ-R), and to validate it in a study involving 345 Italian subjects with chronic pain.

METHODS: The questionnaire was developed following international recommendations. The psychometric analyses included confirmatory factor analysis; reliability, assessed by internal consistency (Cronbach’s alpha) and test-retest reliability (intraclass correlation coefficients); and construct validity, assessed by calculating the correlations between the subscales of the CSQ-R and measures of pain (numerical rating scale), disability (Sickness Impact Profile – Roland Scale), depression (Center for Epidemiological Studies – Depression Scale) and coping (Chronic Pain Coping Inventory) (Pearson’s correlation).

RESULTS: Confirmatory factor analysis revealed that the CSQ-R model had an acceptable data-model fit (comparative fit index and normed fit index ≤0.90, root mean square error of approximation ≥0.08). Cronbach’s alpha was satisfactory (CSQ-R 0.914 to 0.961), and the intraclass correlation coefficients were good/excellent (CSQ-R 0.850 to 0.918). As expected, the correlations with the numerical rating scale, Sickness Impact Profile – Roland Scale, Center for Epidemiological Studies – Depression Scale and Chronic Pain Coping Inventory highlighted the adaptive and maladaptive properties of most of the CSQ-R subscales.

CONCLUSION: The CSQ-R was successfully translated into Italian. The translation proved to have good factorial structure, and its psychometric properties are similar to those of the original and other adapted versions. Its use is recommended for clinical and research purposes in Italy and abroad.