Validation of the Korean version of the Pain Catastrophizing Scale in patients with chronic non-cancer pain
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Pain catastrophizing often has been measured using the Pain Catastrophizing Scale (PCS). Studies of the PCS nearly consistently support its three-factor structure (i.e., helplessness, magnification, and rumination) and satisfactory psychometric properties across different countries and languages. This study aimed to assess the generalizability of the three-factor structure of the PCS to Korean patients with chronic non-cancer pain and to investigate reliability, measurement error, and construct validity of a Korean version of the PCS (K-PCS).
A total of 182 patients with chronic pain seeking treatment in a tertiary pain center located in Seoul, Korea, participated.
Confirmatory factor analysis demonstrated the adequacy of the three-factor structure of the K-PCS; ‘helplessness,’ ‘magnification,’ and ‘rumination.’ The internal consistency for ‘helplessness,’ ‘magnification,’ ‘rumination,’ and total scale of the K-PCS were Cronbach’s α = .90, .71, .86, and .93, respectively; test–retest stability, ICC = .77, .73, .65, and .79, respectively; the standard estimation of measurement, 1.93, 1.34, 2.13, and 3.72, respectively; the minimum detectable change, 5.33, 3.70, 5.89, and 10.28, respectively; and the limits of agreement, −7.66 to 9.20, −5.07 to 5.01, −7.30 to 6.86, and −15.26 to 16.46, respectively. At least moderate positive correlations were observed between the K-PCS and pain intensity, depression, and pain-related anxiety, and moderate negative correlations between the K-PCS and physical and psychological functioning.
The K-PCS has the reliability, measurement error, and construct validity support for assessing pain catastrophizing in a Korean patient sample with chronic non-cancer pain.
KeywordsChronic pain Korean Pain Catastrophizing Scale Validity
Chronic non-cancer pain
Pain Catastrophizing Scale
Korean version of Pain Catastrophizing Scale
Numerical Rating Scale
Beck Depression Inventory
Pain Anxiety Symptom Scale-20
Confirmatory factor analysis
Root-mean square error of approximation
Comparative fit index
Non-normed fit index
Standard error of measurement
Minimum detectable change
Limits of agreement
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A2008624).
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