Development and Validation of a Daily Pain Catastrophizing Scale

Darnall, Beth D., Sturgeon, John A., Cook, Karon F., Taub, Chloe J., Roy, Anuradha, Burns, John W., Sullivan, Michael and Mackey, Sean C. (2017) Development and Validation of a Daily Pain Catastrophizing Scale. Journal of Pain, 18 9: 1139-1149. doi:10.1016/j.jpain.2017.05.003

Author Darnall, Beth D.
Sturgeon, John A.
Cook, Karon F.
Taub, Chloe J.
Roy, Anuradha
Burns, John W.
Sullivan, Michael
Mackey, Sean C.
Title Development and Validation of a Daily Pain Catastrophizing Scale
Journal name Journal of Pain   Check publisher's open access policy
ISSN 1526-5900
Publication date 2017-05-19
Year available 2017
Sub-type Article (original research)
DOI 10.1016/j.jpain.2017.05.003
Open Access Status Not yet assessed
Volume 18
Issue 9
Start page 1139
End page 1149
Total pages 11
Place of publication Philadelphia, United States
Publisher Churchill Livingstone
Language eng
Subject 2808 Neurology
2728 Clinical Neurology
2703 Anesthesiology and Pain Medicine
Abstract To date, there is no validated measure for pain catastrophizing at the daily level. The Pain Catastrophizing Scale (PCS) is widely used to measure trait pain catastrophizing. We sought to develop and validate a brief, daily version of the PCS for use in daily diary studies to facilitate research on mechanisms of catastrophizing treatment, individual differences in self-regulation, and to reveal the nuanced relationships between catastrophizing, correlates, and pain outcomes. After adapting the PCS for daily use, we evaluated the resulting 14 items using 3 rounds of cognitive interviews with 30 adults with chronic pain. We refined and tested the final daily PCS in 3 independent, prospective, cross-sectional, observational validation studies conducted in a combined total of 519 adults with chronic pain who completed online measures daily for 14 consecutive days. For study 1 (N = 131), exploratory factor analysis revealed adequate fit and unexpectedly unidimensionality for item responses to the daily PCS. Study 2 (N = 177) correlations indicated adequate association with related constructs (anger, anxiety, pain intensity, depression). Similarly, results for study 3 (N = 211) revealed expected correlations for daily PCS and measures of daily constructs including physical activity, sleep, energy level, and positive affect. Results from complex/multilevel confirmatory factor analysis confirmed good fit to a unidimensional model. Scores on the daily PCS were statistically comparable with and more parsimonious than the full 14-item version. Next steps include evaluation of score validity in populations with medical diagnoses, greater demographic diversity, and in patients with acute pain.
Keyword Lagged Panel Analysis
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID HHSN271201200728P
K24 DA029262
P01 AT006651
R01 AT008561
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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Created: Sun, 31 Dec 2017, 02:01:47 EST