Dimensionality and Reliability of the Central Sensitization Inventory in a Pooled Multicountry Sample

• Published in: The journal of pain Vol. 19; no. 3; pp. 317 - 329
• Main Authors: Cuesta-Vargas, Antonio I., Neblett, Randy, Chiarotto, Alessandro, Kregel, Jeroen, Nijs, Jo, van Wilgen, C. Paul, Pitance, Laurent, Knezevic, Aleksandar, Gatchel, Robert J., Mayer, Tom G., Viti, Carlotta, Roldan-Jiménez, Cristina, Testa, Marco, Caumo, Wolnei, Jeremic-Knezevic, Milica, Luciano, Juan V.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2018
• Subjects: central sensitivity syndrome, chronic pain, psychometrics; central sensitization; Central Sensitization Inventory; multicountry sample; central sensitization; Central Sensitization Inventory; multicountry sample; central sensitivity syndrome, chronic pain, psychometrics
• ISSN: 1526-5900; 1528-8447
• DOI: 10.1016/j.jpain.2017.11.006

•Dimensionality and reliability of the Central Sensitization Inventory (CSI) was investigated.•After examining 1-factor and 4-factor solutions, a bifactor model was determined to be the best fit.•The general “CS-related symptoms“ factor was highly reliable.•The 4 specific CSI factors did not show enough reliability to be used as subscales.•It is recommended that only total CSI scores be used and reported. Central sensitization (CS) involves the amplification of neural signaling within the central nervous system, which evokes pain hypersensitivity. The Central Sensitization Inventory (CSI) assesses 25 overlapping health-related symptom dimensions that have been reported to be associated with CS-related disorders. Previous studies have reported satisfactory test-retest reliability and internal consistency, but factor analyses have exhibited conflicting results in different language versions. The purpose of this cross-sectional study was to thoroughly examine the dimensionality and reliability of the CSI, with pooled data from 1,987 individuals, collected in several countries. The principal component analysis suggested that 1 general factor of CS best described the structure. A subsequent confirmatory factor analysis revealed that a bifactor model, which accounted for the covariance among CSI items, with regard to 1 general factor and 4 orthogonal factors, fit the CSI structure better than the unidimensional and the 4-factor models. Additional analyses indicated substantial reliability for the general factor (ie, Cronbach α = .92; ω = .95; and ω hierarchical = .89). Reliability results for the 4 specific factors were considered too low to be used for subscales. The results of this study clearly suggest that only total CSI scores should be used and reported. As far as we know, this is the first study that has examined the factor structure and reliability of the CSI in a large multicountry sample. The CSI is currently considered the leading self-report measure of CS-related symptoms worldwide.