• Pain Res Manag · Jan 2024

    Cultural Adaptation and Psychometric Validation of the Simplified Chinese Version of the Fear Avoidance Component Scale (FACS).

    • Zhongyi Tu, Junfang Miao, Yanzhao Zhang, Zhaohui Yang, Rui Xu, and Randy Neblett.
    • Department of Rehabilitation Medicine, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430023, China.
    • Pain Res Manag. 2024 Jan 1; 2024: 79666897966689.

    AbstractBackground: Strong associations have been demonstrated between chronic musculoskeletal pain, pain-related fear-avoidance (FA) of activities of daily living, and functional disability. The Fear Avoidance Components Scale (FACS) is a patient-reported outcome (PRO) measure, which was designed to evaluate cognitive, emotional, and behavioural dimensions of FA. Objective: The study aims were to translate the English version of the FACS into Simplified Chinese and then to examine its psychometric properties. Methods: The translation and cross-cultural adaptation of the FACS from English to Chinese was performed with standard methodology. A group of 330 subjects with chronic musculoskeletal pain completed the FACS-Chi and additional FA-related PRO measures. The FACS-Chi was then completed a second time, 1 week later. Results: The FACS-Chi showed excellent internal consistency (Cronbach's alpha = 0.920) and test-retest reliability (ICC = 0.918). A confirmatory factor analysis of the 2-factor model determined in the original English version of FACS revealed an acceptable fit. Strong correlations were found between FACS-Chi scores and other PRO measures of perceived level of disability, pain catastrophizing, and pain-related anxiety (p < 0.001 for all analyses). Conclusions: The FACS-Chi demonstrated good psychometric properties, including excellent test-retest reliability and internal consistency and satisfactory construct validity. The FACS-Chi may be a useful measure of pain-related FA in Chinese-speaking patients with chronic musculoskeletal pain.Copyright © 2024 Zhongyi Tu et al.

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