Confirmatory factor analysis of the Insomnia Severity Index (ISI) and invariance across race

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Abstract

Women's sleep at menopause is widely reported to be problematic. The Insomnia Severity Index (ISI) is a commonly used tool for quantifying sleep problems in clinical and research settings, but psychometric properties in postmenopausal women have not been reported. Our study aim was to examine the factor structure of the ISI in a large and diverse sample of midlife women with hot flashes.

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Most cited references 18

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Assessing insomnia in adolescents: comparison of Insomnia Severity Index, Athens Insomnia Scale and Sleep Quality Index.

Ka-Fai Chung, Katherine Ka-Ki Kan, Wing-Fai Yeung (2011)

To compare the psychometric properties of the Chinese versions of Insomnia Severity Index (ISI), Athens Insomnia Scale (AIS) and Sleep Quality Index (SQI) for assessment and screening of insomnia in adolescents.

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Empirical validation of the Insomnia Severity Index in cancer patients.

M Savard, Sébastien Simard, Hans Ivers … (2005)

Despite the elevated prevalence of insomnia in cancer patients, there is a lack of brief validated instruments for the evaluation of this particular problem in this population. The goal of this study is to empirically validate the Insomnia Severity Index (ISI) and to evaluate its ability to screen insomnia in 1670 cancer patients. The results support the internal consistency and temporal stability of the ISI. Its two-component factor structure is clear and stable between different cancer diagnoses. The construct validity of that instrument is also supported by correlations obtained with various measures of sleep and one measure of quality of life. The ISI is also sensitive to therapeutic changes. A clinical cut-off score of 8 on the ISI is associated with optimal sensitivity and specificity for the detection of sleep difficulties. In conclusion, the ISI appears to be an excellent evaluation and screening tool in the context of cancer.

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Insomnia Severity Index: psychometric properties with Chinese community-dwelling older people.

Doris Yu (2010)

This paper is a report of a study to evaluate the psychometric properties of the Chinese version of the Insomnia Severity Index. Despite the high prevalence of insomnia in older people and its detrimental impact on well-being and healthcare costs, this problem is almost always undetected and consequently under-treated. The Insomnia Severity Index is psychometrically sound in measuring perceived insomnia severity. However, it has had very limited application in non-White populations. An instrument validation study was carried out between October 2008 and April 2009. The Insomnia Severity Index was translated into Chinese using Brislin's model and administered to a convenience sample of 585 older Chinese people recruited from three community centres for elders. Other instruments were also administered, including the Chinese version of the Pittsburgh Sleep Quality Index and the Geriatric Depression Scale. Cronbach's alpha of the Chinese version of the Insomnia Severity Index was 0.81, with item-to-total correlations in the range of 0.34-0.67. Construct validity was supported by its moderate relationship with the Chinese Pittsburgh Sleep Quality Index and sleep efficiency. The Chinese version of the Insomnia Severity Index also indicated more severe level of insomnia in older people who reported depressed mood on the Geriatric Depression Scale. Discriminant validity was supported as the Chinese version of the Insomnia Severity Index could discriminate poorer sleepers from normal sleepers. Exploratory factor analysis identified a two-factor structure for the Chinese version of the Insomnia Severity Index in measuring the severity and impacts of insomnia on the Chinese older people. The Chinese version of the Insomnia Severity Index is a culturally-relevant and psychometrically-sound instrument for assessing severity and impact of insomnia in Chinese community-dwelling older people. Nurses can use this tool to assess older people's perceptions of insomnia. © 2010 The Author. Journal of Advanced Nursing © 2010 Blackwell Publishing Ltd.