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.
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.
Authors: Caroline B Terwee; Sandra D M Bot; Michael R de Boer; Daniëlle A W M van der Windt; Dirk L Knol; Joost Dekker; Lex M Bouter; Henrica C W de Vet Journal: J Clin Epidemiol Date: 2006-08-24 Impact factor: 6.437
Authors: Marco Monticone; Simona Ferrante; Silvano Ferrari; Calogero Foti; Raffaele Mugnai; Paolo Pillastrini; Barbara Rocca; Carla Vanti Journal: Qual Life Res Date: 2014-01-11 Impact factor: 4.147
Authors: Layz Alves Ferreira Souza; Lilian Varanda Pereira; Louise Amália de Moura; Leidy-Johanna Rueda Díaz; Diná de Almeida Lopes Monteiro da Cruz; José Aparecido Da Silva Journal: PLoS One Date: 2021-02-08 Impact factor: 3.240