Psychometric properties of the Insomnia Severity Index Among Arabic Chronic Diseases Patients

Mohammed Al Maqbali*, Nora Madkhali, Geoffrey L. Dickens

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
72 Downloads (Pure)


Aim: This study aimed to evaluate the psychometrics properties of the Arabic language Insomnia Severity Index (ISI) among patients diagnosed with chronic diseases.

Design: A cross-sectional, correlational design was used.

Methods: A total of 1,005 patients with chronic diseases completed the 7 items of the Arabic ISI. The scale was assessed in terms of internal consistency, and validity. Construct validity was explored with the use of Principal Components Analysis (PCA) and the dimensional structure of the ISI was examined using Confirmatory Factor Analysis (CFA).

Results: The Cronbach’s alpha coefficient for the Arabic ISI was 0.82, representing good internal consistency. PCA indicated two factors (four items loading on Factor I and three items loading on Factor II). The construct validity of PCA in terms of two factor was explored by CFA which showed an absolute fit for the two-factor model. The results support the two-factor structure of the ISI.
Original languageEnglish
Article number237796082211072
Number of pages8
JournalSAGE Open Nursing
Early online date23 Jun 2022
Publication statusPublished - 2022


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