2011
DOI: 10.1093/sleep/34.5.601
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The Insomnia Severity Index: Psychometric Indicators to Detect Insomnia Cases and Evaluate Treatment Response

Abstract: These findings provide further evidence that the ISI is a reliable and valid instrument to detect cases of insomnia in the population and is sensitive to treatment response in clinical patients.

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Cited by 3,446 publications
(2,870 citation statements)
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References 30 publications
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“…The Berlin Sleep Questionnaire was used to determine the prevalence of a high‐risk phenotype for OSA, using responses to questions about snoring, daytime somnolence, hypertension, and BMI 28. The presence of insomnia was ascertained using the Insomnia Severity Index (ISI) Questionnaire29 and categorized as (1) no clinically significant insomnia; (2) subthreshold insomnia; (3) clinical insomnia with moderate severity; or (4) severe clinical insomnia.…”
Section: Methodsmentioning
confidence: 99%
“…The Berlin Sleep Questionnaire was used to determine the prevalence of a high‐risk phenotype for OSA, using responses to questions about snoring, daytime somnolence, hypertension, and BMI 28. The presence of insomnia was ascertained using the Insomnia Severity Index (ISI) Questionnaire29 and categorized as (1) no clinically significant insomnia; (2) subthreshold insomnia; (3) clinical insomnia with moderate severity; or (4) severe clinical insomnia.…”
Section: Methodsmentioning
confidence: 99%
“…Scores on this measure are summed and may be categorized into 4 levels of insomnia severity: 0-7 indicates no clinically significant insomnia, [8][9][10][11][12][13][14] indicates the presence of subthreshold insomnia symptoms, 15-21 indicates the presence of moderate insomnia symptoms, and 22-28 indicates severe insomnia symptoms. 27,33 Thus, participants with a score of 8 or higher on this measure were classified as scoring positive for insomnia symptoms. We chose a cutoff of 8 to capture people with subthreshold symptoms because screening measures are useful not only to identify patients who already have a diagnosis, but those who have subthreshold symptoms, and who could still benefit from an intervention to prevent the full development of the disorder.…”
Section: Methodsmentioning
confidence: 99%
“…onset, maintenance, and terminal), or factors that causes insomnia symptoms (e.g. daytime stress, anxiety, jetlag, and diet) [1], [2], [21]. Therefore, training sleep/wake detection models that are specified according to these categories based on a larger data set merits further exploration.…”
Section: Resultsmentioning
confidence: 99%