Cargando…

Psychometric testing of a short form, 11-item Tampa Scale of Kinesiophobia–Arabic version: TSK-AV-11

To examine the psychometric properties of a short form TSK-AV in Arabic-speaking patients with chronic low back pain (CLBP). One hundred one CLBP patients recruited from Jordan University Hospital provided demographic information and completed the TSK-AV full version and measures of pain severity an...

Descripción completa

Detalles Bibliográficos
Autores principales: AL-Shudifat, Abdulrahman, Farah, Kawthar, Hawamdeh, Ziad M., Alqudah, Ashraf, Juweid, Malik E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302674/
https://www.ncbi.nlm.nih.gov/pubmed/32541453
http://dx.doi.org/10.1097/MD.0000000000020292
Descripción
Sumario:To examine the psychometric properties of a short form TSK-AV in Arabic-speaking patients with chronic low back pain (CLBP). One hundred one CLBP patients recruited from Jordan University Hospital provided demographic information and completed the TSK-AV full version and measures of pain severity and disability. Explorative factor analysis was used to determine whether a generally accepted 2-factor model consisting of fewer TSK items applies to the TSK-AV and exhibits acceptable psychometric properties. A 2-factor model provided an adequate-to-good fit to our data, explaining 46.54% of the variance. Factor 1 (labeled as “activity avoidance”) comprised items 1, 2, 7, 9, 14, 15, and 17. Factor 2 was labeled as “somatic focus” and comprised items 3, 6, 11, and 13. The 11-item TSK-AV comprised of the 2 factors (TSK-AV-11) as well as its subscales all remained independent significant (P < .001) predictors of pain disability in Jordanian patients with CLBP after accounting for factors such as age, gender, pain duration, and pain severity. The short, 11-item TSK-AV (TSK-AV-11) appears to be an ideal clinical and research tool for measuring fear of movement/re (injury) in Arabic-speaking patients.