Abdulrhman Albougami1, Md Dilshad Manzar2. 1. Department of Nursing, College of Applied Medical Sciences, Majmaah University, Al Majmaah, 11952, Saudi Arabia. 2. Department of Nursing, College of Applied Medical Sciences, Majmaah University, Al Majmaah, 11952, Saudi Arabia. m.manzar@mu.edu.sa.
Abstract
BACKGROUND: Insomnia 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. METHODS: A 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. RESULTS: No 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 χ2test, χ2/df 0.904). This model showed favorable configural, metric, scalar, and partial strict invariance across gender groups (CFI > .95, RMSEA < .05, χ2/df < 3, non-significant Δχ2, ΔCFI ≤ .01). The internal consistency was adequate (Cronbach's alpha = 0.75, 0.78 for the two factors of the ISI). The lack of correlations between the ISI scores and the scores of the brief measure of the metacognition favored its divergent validity. CONCLUSION: The ISI showed adequate psychometric validity for screening insomnia among Saudi nurses.
BACKGROUND: Insomnia 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. METHODS: A 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. RESULTS: No 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 χ2test, χ2/df 0.904). This model showed favorable configural, metric, scalar, and partial strict invariance across gender groups (CFI > .95, RMSEA < .05, χ2/df < 3, non-significant Δχ2, ΔCFI ≤ .01). The internal consistency was adequate (Cronbach's alpha = 0.75, 0.78 for the two factors of the ISI). The lack of correlations between the ISI scores and the scores of the brief measure of the metacognition favored its divergent validity. CONCLUSION: The ISI showed adequate psychometric validity for screening insomnia among Saudi nurses.
Authors: Erkki Kronholm; Timo Partonen; Mikko Härmä; Christer Hublin; Tea Lallukka; Markku Peltonen; Tiina Laatikainen Journal: J Sleep Res Date: 2016-02-12 Impact factor: 3.981
Authors: Ralph E Schmidt; Stephane Cullati; Elizabeth Mostofsky; Guy Haller; Thomas Agoritsas; Murray A Mittleman; Thomas V Perneger; Delphine S Courvoisier Journal: PLoS One Date: 2015-10-08 Impact factor: 3.240