Psychometric properties of the sleep condition indicator and insomnia severity index in the evaluation of insomnia disorder

Mark Lawrence WONG, Kristy Nga Ting LAU, Colin A. ESPIE, Annemarie I. LUIK, Simon D. KYLE, Esther Yuet Ying LAU

Research output: Contribution to journalArticles

23 Citations (Scopus)

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 < .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. Copyright © 2016 Elsevier B.V. 
Original languageEnglish
Pages (from-to)76-81
JournalSleep Medicine
Volume33
Early online dateOct 2016
DOIs
Publication statusPublished - May 2017

Citation

Wong, M. L., Lau, K. N. T., Espie, C. A., Luik, A. I., Kyle, S. D., & Lau, E. Y. Y. (2017). Psychometric properties of the sleep condition indicator and insomnia severity index in the evaluation of insomnia disorder. Sleep Medicine, 33, 76-81.

Keywords

  • Sleep assessment
  • Sleep-wake disorders
  • Psychometrics
  • Actigraphy
  • Sleep Diary

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