A very brief self-report scale for measuring insomnia severity using two items from the Insomnia Severity Index - development and validation in a clinical population

Kraepelien, Martin; Blom, Kerstin; Forsell, Erik; Isacsson, Nils Hentati; Bjurner, Pontus; Morin, Charles M.; Jernelöv, Susanna; Kaldo, Viktor

doi:10.1016/j.sleep.2021.03.003

Cited by 33 publications

(33 citation statements)

References 47 publications

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“…There was an acceptable degree of internal consistency between the total score of the Arabic version of the ISI and the seven items, while Cronbach's alpha was 0.82. Previous studies have reported similar results in terms of clinical samples ( Dieperink et al, 2020 ; Kraepelien et al, 2021 ). Manzar et al., (2021) conducted a systematic review of 20 studies that evaluated the measurement properties; they found Cronbach's alpha to be between 0.70 and 0.94, and the pooled overall Cronbach alpha reliability was 0.83.…”

Section: Discussionsupporting

confidence: 76%

Psychometric Properties of the Insomnia Severity Index Among Arabic Chronic Diseases Patients

2022

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Introduction The Insomnia Severity Index (ISI) is a self-administrated questionnaire most frequently used to assess insomnia in clinical and non-clinical populations. Objective To evaluate the psychometric properties of the Arabic ISI among patients diagnosed with chronic diseases. Methods A cross-sectional and descriptive correlational design was used. A total of 1,005 patients with chronic diseases completed the seven items of the Arabic ISI version. The scale was assessed in terms of acceptability, internal consistency, and validity. Construct validity was explored with the use of principal factor analysis and confirmatory factor analysis, to examine the dimensional structure of the ISI. Results The Cronbach's alpha coefficient for the Arabic ISI was 0.82, which shows good reliability. The total ISI score did not have floor or ceiling effects. There was evidence of discriminate validity. The Principal Component Analysis (PCA) indicated two factors (four items loading on Factor I and three items loading on Factor II). The construct validity of PCA in terms of two factors was explored by confirmatory factor analysis to examine the dimensional structure of the ISI. The confirmatory factor analysis showed an absolute fit for the two-factor model. Conclusion The results support the two-factor structure of ISI. The Arabic version of the ISI demonstrated good reliability and validity for assessing insomnia in patients diagnosed with chronic diseases.

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Section: Discussionsupporting

confidence: 76%

Psychometric Properties of the Insomnia Severity Index Among Arabic Chronic Diseases Patients

2022

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“…. and interferences with daily functioning over the past 2 weeks on a five-point scale from 0 to 4, with a cut-off score of 6 pointing to insomnia disorder (44). Cronbach's alpha was α = 0.69 in the present psychotherapists' sample and α = 0.78 in the matched subsample of the general population.…”

Section: Insomnia (Isi-)mentioning

confidence: 75%

Mental health in Austrian psychotherapists during the COVID-19 pandemic

Schaffler

Kaltschik²,

Probst³

et al. 2022

Front. Public Health

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Although the impact of the COVID-19 pandemic on mental health has been reported in different communities, little is known about the mental health of psychotherapists during the COVID-19 pandemic. This study aimed to assess mental health during the COVID-19 pandemic in Austrian psychotherapists and compare it with the general population. A total of n = 513 psychotherapists (80.5% women; mean age: 53.06 ± 9.94 years) took part in an online survey conducted from April to June 2022. At the same time, a representative sample (N = 1,031) of the Austrian general population was surveyed online. Indicators of mental health were mental wellbeing (WHO-5), depression (PHQ-2), anxiety (GAD-2), insomnia (ISI-2), and stress (PSS-10). The general population sample was matched according to age and gender with the psychotherapist's data using propensity scores, yielding a final sample of n = 513 (80.5% women; mean age: 52.33 ± 13.39 years). Psychotherapists showed lower odds for exceeding cut-offs for clinically relevant depressive, anxiety, insomnia and stress symptoms (0.34–0.58) compared to the general population. Further studies should elucidate the protective factors underlying these findings.

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“…An advantage of actigraphy is that it can assess sleep outcomes over multiple nights, allowing an assessment of sleep patterns and variability ( 25 ). ISI is particularly useful in population and clinical settings where more than one condition needs to be measured at a time without overburdening the patient ( 26 ). With the help of psychometric tools and technologies available, studies have found that CBTI is effective regardless of whether the subjective-objective sleep differences are large or small ( 27 ).…”

Section: Discussionmentioning

confidence: 99%

Thematic trends and knowledge structure on cognitive behavior therapy for insomnia: A bibliometric and visualization analysis

Xin

Paudel²,

et al. 2022

Front. Psychiatry

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ObjectiveTo find publications trend about cognitive behavior therapy for insomnia (CBTI) using bibliometric and visualization analysis. In this study, the authors sought to identify the publication trends of peer-reviewed articles about CBTI.Materials and methodsAnalyses were focused on the past 18 years from 2004 to 2021. All searches were performed on the Web of Science Core Collection database. The search was repeated to include structural cognitive behavior therapy for insomnia. Quantitative analysis was assessed using the bibliometric tool. Visualization analysis was carried out using VOSviewer.ResultsIn the 736 articles reviewed, the number of publications has been increasing every year for the past 18 years. Behavioral sleep medicine and sleep were the most active journals published on CBTI. The United States and Canada had the highest scientific publications in the field. Morin CM and Espie CA were the most active authors. The study type mostly observed were randomized controlled trials, meta-analyses, and epidemiological. Publications on digital-based cognitive behavior therapy and accessibility to primary care settings represent the future trends of research on CBTI.ConclusionPossible explanations for CBTI publication trends were discussed, including the emergence of the evidence-based therapy, feasibility, and scalability. Potential CBTI publications trends in the future and clinical implications were also discussed.

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A very brief self-report scale for measuring insomnia severity using two items from the Insomnia Severity Index - development and validation in a clinical population

Cited by 33 publications

References 47 publications

Psychometric Properties of the Insomnia Severity Index Among Arabic Chronic Diseases Patients

Psychometric Properties of the Insomnia Severity Index Among Arabic Chronic Diseases Patients

Mental health in Austrian psychotherapists during the COVID-19 pandemic

Thematic trends and knowledge structure on cognitive behavior therapy for insomnia: A bibliometric and visualization analysis

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