ArticleSleep & breathing = Schlaf & Atmung2019
Insomnia severity index: a psychometric investigation among Saudi nurses.
Article in Sleep & breathing = Schlaf & Atmung, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-Analysis of Relationship of Sleep Quality and Duration With Risk of Diabetic Retinopathy.Frontiers in endocrinology · 2022Pooled it
- Psychometric Evaluation of the Insomnia Severity Index in Chronic Disease Patients Using Three Complementary Approaches.Brain and behavior · 2025Article
- Article
- Exploring the Mediating Role of Sleep Deficit-Related Functional Status in Subacute Stroke Survivors.Medicina (Kaunas, Lithuania) · 2024Article
- Sleep quality, daytime sleepiness, and insomnia in patient with epilepsy:Neurosciences (Riyadh, Saudi Arabia) · 2023Article
- A population-based psychometric analysis of the insomnia severity index in black women with and without a history of cancer.Journal of sleep research · 2022Article
- Article
- Psychometric Validation of the Athens Insomnia Scale Among Nurses: A Robust Approach Using Both Classical Theory and Rating Scale Model Parameters.Nature and science of sleep · 2022Article
- Sleep disorders among nurses and other health care workers in Poland during the COVID-19 pandemic.Applied nursing research : ANR · 2021Article
- The immediate impact of the 2019 novel coronavirus (COVID-19) outbreak on subjective sleep status.Sleep medicine · 2021Article
- Leeds sleep evaluation questionnaire in Jordanian university students. A psychometric investigation using comparative confirmatory factor analysis.Saudi medical journal · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
backgroundInsomnia is the most prevalent sleep disorder, but it is widely untreated and under-diagnosed in Saudi Arabia. Moreover, no tool to screen insomnia has been validated in the Saudi population in general or nurses in particular. This study, therefore, assessed the psychometric validity of the Insomnia Severity Index (ISI) in Saudi nurses.
methodsA cross-sectional study with purposive sampling was performed with nurses (n = 134, age = 21-48 years) from Al Majmaah, Saudi Arabia. Both conventional and online survey methods using the ISI, a brief measure of metacognition, and a socio-demographics questionnaire were employed.
resultsNo ceiling or floor effects were found in the ISI total score (8.84 ± 5.07) or the factor scores, but the floor effect was found in the item scores. A two-factor model showed the best fit (Pclose .97, comparative fit index [CFI] 1.00, root mean square error of approximation [RMSEA] 0.00, non-significant χ
conclusionThe ISI showed adequate psychometric validity for screening insomnia among Saudi nurses.
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