Samantha M Nagy, Sarah E Emert, Jacqueline J Leete, Daniel J Taylor, Jessica R Dietch, Danica C Slavish, Camilo J Ruggero, Kimberly Kelly
{"title":"护士失眠严重程度指数的心理计量学评估。","authors":"Samantha M Nagy, Sarah E Emert, Jacqueline J Leete, Daniel J Taylor, Jessica R Dietch, Danica C Slavish, Camilo J Ruggero, Kimberly Kelly","doi":"10.1080/15402002.2024.2362370","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Examine psychometric properties of the Insomnia Severity Index (ISI) in a sample of nurses.</p><p><strong>Method: </strong>In a sample of day shift nurses (<i>N</i> = 289), a confirmatory factor analysis (CFA), convergent and discriminant validity analyses, and a test-retest reliability analysis were performed.</p><p><strong>Results: </strong>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 (<i>r</i> = -.66), Pittsburgh Sleep Quality Index (<i>r</i> = .66), and PROMIS Sleep-Related Impairment measure (<i>r</i> = .67). The ISI demonstrated good discriminant validity with the measures Composite Scale of Morningness (<i>r</i> = -.27), Nightmares Disorder Index (<i>r</i> = .25), PTSD Checklist for DSM-5 (sleep items removed; <i>r</i> = .32), and Perceived Stress Scale (<i>r</i> = .43). The ISI had weaker discriminant validity with the PHQ-9 (<i>r</i> = .69) and Generalized Anxiety Disorder Screener (<i>r</i> = .51). The ISI demonstrated a good test-retest reliability (ICCs = .74-.88).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"779-789"},"PeriodicalIF":2.2000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11365753/pdf/","citationCount":"0","resultStr":"{\"title\":\"Psychometric Evaluation of the Insomnia Severity Index in Nurses.\",\"authors\":\"Samantha M Nagy, Sarah E Emert, Jacqueline J Leete, Daniel J Taylor, Jessica R Dietch, Danica C Slavish, Camilo J Ruggero, Kimberly Kelly\",\"doi\":\"10.1080/15402002.2024.2362370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Examine psychometric properties of the Insomnia Severity Index (ISI) in a sample of nurses.</p><p><strong>Method: </strong>In a sample of day shift nurses (<i>N</i> = 289), a confirmatory factor analysis (CFA), convergent and discriminant validity analyses, and a test-retest reliability analysis were performed.</p><p><strong>Results: </strong>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 (<i>r</i> = -.66), Pittsburgh Sleep Quality Index (<i>r</i> = .66), and PROMIS Sleep-Related Impairment measure (<i>r</i> = .67). The ISI demonstrated good discriminant validity with the measures Composite Scale of Morningness (<i>r</i> = -.27), Nightmares Disorder Index (<i>r</i> = .25), PTSD Checklist for DSM-5 (sleep items removed; <i>r</i> = .32), and Perceived Stress Scale (<i>r</i> = .43). The ISI had weaker discriminant validity with the PHQ-9 (<i>r</i> = .69) and Generalized Anxiety Disorder Screener (<i>r</i> = .51). The ISI demonstrated a good test-retest reliability (ICCs = .74-.88).</p><p><strong>Conclusions: </strong>The ISI is a psychometrically strong measure for the assessment of insomnia severity in day shift nurses. 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Psychometric Evaluation of the Insomnia Severity Index in Nurses.
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.
期刊介绍:
Behavioral Sleep Medicine addresses behavioral dimensions of normal and abnormal sleep mechanisms and the prevention, assessment, and treatment of sleep disorders and associated behavioral and emotional problems. Standards for interventions acceptable to this journal are guided by established principles of behavior change. Intending to serve as the intellectual home for the application of behavioral/cognitive science to the study of normal and disordered sleep, the journal paints a broad stroke across the behavioral sleep medicine landscape. Its content includes scholarly investigation of such areas as normal sleep experience, insomnia, the relation of daytime functioning to sleep, parasomnias, circadian rhythm disorders, treatment adherence, pediatrics, and geriatrics. Multidisciplinary approaches are particularly welcome. The journal’ domain encompasses human basic, applied, and clinical outcome research. Behavioral Sleep Medicine also embraces methodological diversity, spanning innovative case studies, quasi-experimentation, randomized trials, epidemiology, and critical reviews.