• Levent Dumenci, Kurt Kroenke, Francis J Keefe, Dennis C Ang, James Slover, Robert A Perera, and Daniel L Riddle.
• Department of Epidemiology and Biostatistics, Temple University, Philadelphia, PA, USA.
• Eur J Pain. 2020 Sep 1; 24 (8): 162416341624-1634.

BackgroundResearch on the role of trait versus state characteristics of a variety of measures among persons experiencing pain has been a focus for the past few decades. Studying the trait versus state nature of the Pain Catastrophizing Scale (PCS) and the Patient Health Questionnaire (PHQ-8) depression scale would be highly informative given both are commonly measured in pain populations and neither scale has been studied for trait/state contributions.MethodsThe PHQ-8 and PCS were obtained on persons undergoing knee arthroplasty at baseline, 2-, 6- and 12-month post-surgery (N = 402). The multi-trait generalization of the latent trait-state model was used to partition trait and state variability in PCS and PHQ-8 item responses simultaneously. A set of variables were used to predict trait catastrophizing and trait depression.ResultsFor total scores, the latent traits and latent states explain 63.2% (trait = 43.2%; state = 20.0%) and 50.2% (trait = 29.4%; state = 20.8%) of the variability in PCS and PHQ-8, respectively. Patients with a high number of bodily pain sites, high levels of anxiety, young patients and African-American patients had high levels of trait catastrophizing and trait depression. The PCS and the PHQ-8 consist of both enduring trait and dynamic state characteristics, with trait characteristics dominating for both measures.ConclusionClinicians and researchers using these scales should not assume the obtained measurements solely reflect either trait- or state-based characteristics.SignificanceClinicians and researchers using the PCS or PHQ-8 scales are measuring both state and trait characteristics and not just trait- or state-based characteristics.© 2020 European Pain Federation - EFIC®.

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