Albougami, Abdulrhman

Bahammam, Ahmed S.

Hassen, Hamid

Manzar, Md Dilshad

Pandi-Perumal, Seithikurippu R.

Sikkandar, Mohamed Yacin

Abstract: Purpose: Few studies have investigated the validity of the Athens insomnia scale (AIS) using a robust approach of both classical theory and the rating scale model. Therefore, in this study, we investigated psychometric validation of the AIS using both of these approaches in nurses. Methods: Nurses (n= 563, age= 33.2 +/- 7.1 years) working in health facilities in Saudi Arabia participated in a cross-sectional study. Participants completed the AIS, socio-demographics tool, and sleep health-related questions. Results: Confirmatory factor analysis (CFA) favored a 2-factor structure with both comparative fit index (CFI), and incremental fit index (IFI) having values above 0.95. The 2-factor model had the lowest values of Akaike information criterion (AIC), root mean square error of approximation (RMSEA), chi(2), and chi(2)/df. This 2-factor structure showed configural invariance (CFI more than 0.95, RMSEA less than 0.08, and X-2/df less than 3), and metric, scalar, and strict invariance (based on Delta CFI = 0.015 criteria). No ceiling/floor effects were seen for the AIS total scores. Infit and outfit mean square values for all the items were within the acceptable range (0.6). The threshold estimates for each item were ordered as expected. Cronbach's a for the AIS tool, factor-1 score, factor-2 score was 0.86, 0.82, and 0.72, respectively. AIS factor scores-1/2 were significantly associated with a habitual feeling of tiredness after usual night sleep (p<0.001), Impairment of daytime socio-occupational functioning (p<0.05), and with a feeling of daytime fatigue, irritability, and restlessness (p<0.05). Conclusion: The findings favor the validity of a 2-factor structure of the AIS with adequate item properties, convergent validity, and reliability in nurses

Psychometric validation of the Athens Insomnia Scale among nurses : a robust approach using both classical theory and rating scale model parameters

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