Validity and reliability of the Turkish version of the sleep condition indicator: a clinical screening instrument based on the dsm-5 criteria for insomnia

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dc.authorid0000-0001-7430-1189en_US
dc.contributor.authorUygur, Hilal
dc.contributor.authorAhmed, Oli
dc.contributor.authorUygur, Omer Faruk
dc.contributor.authorMiller, Christopher B.
dc.contributor.authorHurşitoğlu, Onur
dc.contributor.authorBahar, Aynur
dc.contributor.authorDemiröz, Dudu
dc.date.accessioned2024-03-22T11:48:42Z
dc.date.available2024-03-22T11:48:42Z
dc.date.issued2024en_US
dc.departmentKMÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.description.abstractPurpose: We aimed to adapt the Turkish Sleep Condition Indicator (SCI) version and examine its psychometric properties among the general population. Methods: This study was a cross-sectional study. The item-total correlation, standard error of measurement, Cronbach’s α, and McDonald’s ω were used for internal consistency. We ran confirmatory factor analysis (CFA) and network analysis to confirm the factor structure. Multigroup CFA was run to assess the measurement invariance across gender, whether clinical insomnia or not, and poor sleep quality. We correlated SCI scores with Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI) scores to evaluate construct validity. A receiver operating characteristic (ROC) curve analysis was conducted to calculate the cut-off score of the SCI. The temporal stability was examined with the intraclass correlation coefficient. Results: Eight hundred thirty-four participants attended. Over half of the participants were women (63.2% n = 527); the mean age was 36.15 ± 9.64. Confirmatory factor and network analysis results show that the two-factor correlated model had a good model fit for the SCI. The SCI had scalar level invariance across gender, having clinical insomnia and poor sleep quality in the Multigroup CFA. ROC curve analysis shows that the SCI has good sensitivity (90.3%) and specificity (91.8%) for cut-off ≤ 15. The intraclass correlation coefficient computed between the first and second SCI total scores was significant (r=0.80 with a 95% confidence interval from 0.78 to 0.87; p < 0.001). Conclusion: The Turkish SCI is a practical self-reported insomnia scale with good psychometric properties that can be used to screen for insomnia disorder.en_US
dc.identifier.citationUygur, H., Ahmed, O., Uygur, O., Miller, C., Hurşitoğlu, O., Bahar, A., Demiröz, D. & Drake, C. (2024). Validity and reliability of the Turkish version of the sleep condition indicator: a clinical screening instrument based on the dsm-5 criteria for insomnia. Nature and Science of Sleep , v.16; 63–74.en_US
dc.identifier.doi10.2147/NSS.S433656
dc.identifier.endpage74en_US
dc.identifier.issn1179-1608
dc.identifier.pmid38318264
dc.identifier.scopus2-s2.0-85184709077
dc.identifier.scopusqualityQ2
dc.identifier.startpage63en_US
dc.identifier.urihttps://doi.org/10.2147/NSS.S433656
dc.identifier.urihttps://hdl.handle.net/11492/8403
dc.identifier.volume16en_US
dc.identifier.wosWOS:001157541400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorDemiröz, Dudu
dc.language.isoen
dc.publisherDove Medical Press Ltd.en_US
dc.relation.journalNature and Science of Sleepen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInsomnia Screeningen_US
dc.subjectQuestionnaireen_US
dc.subjectReliabilityen_US
dc.subjectSleep Condition Indicatoren_US
dc.subjectValidityen_US
dc.titleValidity and reliability of the Turkish version of the sleep condition indicator: a clinical screening instrument based on the dsm-5 criteria for insomniaen_US
dc.typeArticle

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