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Psychometric properties of the Sleep Condition Indicator and Insomnia Severity Index in the evaluation of insomnia disorder

Abstract:
Objective The Sleep Condition Indicator (SCI) and Insomnia Severity Index (ISI) are commonly used instruments to assess insomnia. We evaluated their psychometric properties, particularly their discriminant validity against structured clinical interview (according to DSM-5 and ICSD-3), and their concurrent validity with measures of sleep and daytime functioning. Methods A total of 158 young adults, 16% of whom were diagnosed with DSM-5 insomnia disorder and 13% with ICSD-3 Chronic Insomnia by structured interview, completed the ISI and SCI twice in 7–14 days, in addition to measures of sleep and daytime function. Results The Chinese version of the SCI was validated with good psychometric properties (ICC = 0.882). A cutoff of ≥8 on the ISI, ≤5 on the SCI short form, and ≤21 on the SCI achieved high discriminant validity (AUC > 0.85) in identifying individuals with insomnia based on both DSM-5 and ICSD-3 criteria. The SCI and ISI had comparable associations with subjective (0.18 < r < 0.51) and actigraphic sleep (0.31 < r < 0.43) and daytime functioning (0.34 < r < 0.53). Conclusion The SCI, SCI short form, and ISI were found to correctly identify individuals with DSM-5- and ICSD-3-defined insomnia disorder. Moreover, they showed good concordance with measures of daytime dysfunction, as well as subjective and objective sleep. The SCI and ISI are recommended for use in clinical and research settings.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.sleep.2016.05.019

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
Christ Church
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author


Publisher:
Elsevier
Journal:
Sleep Medicine More from this journal
Volume:
33
Pages:
76-81
Publication date:
2016-10-22
Acceptance date:
2017-05-24
DOI:
EISSN:
1878-5506
ISSN:
1389-9457


Pubs id:
pubs:653745
UUID:
uuid:614cb921-3845-41f4-99ce-87bac6944c3c
Local pid:
pubs:653745
Source identifiers:
653745
Deposit date:
2017-05-04
ARK identifier:

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