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Psychometric Properties of the Athens Insomnia Scale in Occupational Computer Users.

Mohamed Sherif SirajudeenMd Dilshad ManzarMazen AlqahtaniMsaad AlzhraniAbdulrhman Saad AlbougamiPadmakumar Somasekharan PillaiD Warren SpenceSeithikurippu R Pandi-Perumal
Published in: Healthcare (Basel, Switzerland) (2020)
Background: Various studies have shown that insomnia is associated with computer use. The Athens Insomnia Scale (AIS) is an 8-item tool that has been widely used for screening insomnia. No studies have investigated the psychometric validity of AIS in occupational computer users. Objective: the current research aimed to test the psychometric properties of the AIS among occupational computer users. Materials and Methods: a sample of four hundred and twenty-four occupational computer users (age: 20-65 years and body mass index: 21.6 ± 3.5 kg/m2) completed an AIS and a socio-demographic questionnaire in this cross-sectional study. Results: a confirmatory factor analysis demonstrated that the three-factor model had an adequate fit (the goodness of fit index (0.95), incremental fit index (0.90) and χ2/df (2.61)). Evidence was found for configural, scalar and metric invariance of the 3-factor model across gender groups. A moderate level of internal consistency was implied by a Cronbach's alpha of 0.66. Conclusion: the findings of the present research support the validity of AIS for screening insomnia, as demonstrated by the scale's psychometric properties; its internal consistency, internal homogeneity, item discrimination, and factorial validity.
Keyphrases
  • psychometric properties
  • deep learning
  • sleep quality
  • body mass index
  • physical activity
  • case control
  • high resolution
  • functional connectivity
  • resting state
  • cross sectional