The Sleep Condition Indicator (SCI): Psychometric properties of the European Portuguese version

Author:

Marques Daniel Ruivo12ORCID,Clemente Vanda23ORCID,Allen Gomes Ana24ORCID,Dias Sofia Fontoura1ORCID,Miller Christopher B.5ORCID,Espie Colin A.6ORCID,de Azevedo Maria Helena Pinto7

Affiliation:

1. Department of Education and Psychology University of Aveiro Aveiro Portugal

2. CINEICC – Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences University of Coimbra Coimbra Portugal

3. Sleep Medicine Centre, Coimbra University Hospital Centre (CHUC) Coimbra Portugal

4. Faculty of Psychology and Educational Sciences University of Coimbra Coimbra Portugal

5. Big Health Ltd London UK

6. Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences University of Oxford Oxford UK

7. Faculty of Medicine University of Coimbra Coimbra Portugal

Abstract

SummaryInsomnia is a highly prevalent sleep disorder. It is the most frequent sleep complaint among Higher Education students. The Sleep Condition Indicator is a self‐report tool aimed at assessing insomnia based on the DSM‐5 criteria. The principal goal of this study was to establish preliminary psychometric properties of the European Portuguese version of the Sleep Condition Indicator in a sample of Higher Education students. Data from a diverse pool of Higher Education students (N = 537) were collected online over a month. Most participants were women (75%) and aged approximately 27 years. The Sleep Condition Indicator demonstrated good internal consistency (α = 0.85), with all the items accounting significantly for the scale reliability. The most appropriate factor structure considering the ordinal nature of the items was unidimensional, with all items explaining 64% of the total variance. However, a two‐factor structure (sleep pattern and sleep‐related impact) was also plausible when other statistical estimators were used. The Sleep Condition Indicator correlated significantly with insomnia severity, vulnerability to stress‐related sleep disturbance, and self‐reported daytime sleepiness. The optimal cut‐off point established based on the receiver operating characteristic curve analysis was ≤ 16. A short version comprising only two items was also viable as suggested by the literature. The Sleep Condition Indicator is a reliable and valid tool for screening for insomnia. More studies with other groups are now required, specifically with clinical samples.

Publisher

Wiley

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