![]() ![]() ![]() Results of confirmatory factor analyses showed that of the nine competing models tested, McCracken's two-factor correlated model for the 13-item version of PVAQ (PVAQ-13) demonstrated the best data–model fit (CFI = 0.93).ĭepression Pain Intensity Pain Disability Std β SE 95% CI Std β SE 95% CI Std β SE 95% CI 1. A total of 242 Chinese patients with chronic pain completed the ChPVAQ, the Chronic Pain Grade questionnaire, the Chinese version of the 11-item version of the Tampa Scale for Kinesiophobia (ChTSK-11), the Hospital Anxiety and Depression Scale (HADS), and questions assessing socio-demographic characteristics. This study aimed to examine the factorial validity and psychometric properties of the Chinese version of the PVAQ (ChPVAQ). Different factor structures have been reported in Western populations yet, whether the known factor models could be replicated in non-Western populations and the psychometric properties of the scale remain unclear. The Pain Vigilance and Awareness Questionnaire (PVAQ) has been shown to be a reliable measure for assessing attention to pain. The Fear-Avoidance Beliefs Questionnaire–Work subscale was significantly associated with higher pain intensity and depression the Acceptance Activity Engagement and Pain Willingness subscales were significantly associated with lower pain intensity and depression.Ībstract Purpose. The Fear-Avoidance Beliefs Questionnaire–Physical subscale was associated with higher disability and the Acceptance Pain Willingness subscale was associated with lower disability. ![]() ![]() Regression analyses showed that Active Vigilance and the two subscales of the Fear-Avoidance Beliefs Questionnaire were significantly associated with higher anxiety and that the Acceptance Activity Engagement subscale was significantly associated with lower anxiety. Both subscales and the total score were positively and significantly correlated with other fear-related constructs: fear-avoidance beliefs, pain anxiety, and pain catastrophizing. Results Confirmatory factor analysis supported the validity of a nine-item version with two subscales: Active Vigilance and Passive Awareness. ![]()
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