Psychometric Evaluation of the Insomnia Severity Index in Nurses

  • Samantha M. Nagy
  • , Sarah E. Emert
  • , Jacqueline J. Leete
  • , Daniel J. Taylor
  • , Jessica R. Dietch
  • , Danica C. Slavish
  • , Camilo J. Ruggero
  • , Kimberly Kelly

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: Examine psychometric properties of the Insomnia Severity Index (ISI) in a sample of nurses. Method: In a sample of day shift nurses (N = 289), a confirmatory factor analysis (CFA), convergent and discriminant validity analyses, and a test–retest reliability analysis were performed. Results: CFA showed that a two-factor model provided the best fit. The ISI had moderate to poor convergent validity with sleep diary parameters, and moderate convergent validity with the Sleep Condition Indicator (r = -.66), Pittsburgh Sleep Quality Index (r =.66), and PROMIS Sleep-Related Impairment measure (r =.67). The ISI demonstrated good discriminant validity with the measures Composite Scale of Morningness (r = −.27), Nightmares Disorder Index (r =.25), PTSD Checklist for DSM-5 (sleep items removed; r =.32), and Perceived Stress Scale (r =.43). The ISI had weaker discriminant validity with the PHQ-9 (r =.69) and Generalized Anxiety Disorder Screener (r =.51). The ISI demonstrated a good test–retest reliability (ICCs =.74–.88). Conclusions: The ISI is a psychometrically strong measure for the assessment of insomnia severity in day shift nurses. Overlap with psychological symptoms, primarily anxiety and depression, suggests caution while interpreting these constructs.

Original languageEnglish (US)
Pages (from-to)779-789
Number of pages11
JournalBehavioral Sleep Medicine
Volume22
Issue number5
DOIs
StatePublished - 2024

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Medicine (miscellaneous)
  • Psychology (miscellaneous)
  • Clinical Neurology

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