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The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points

Insomnia is associated with adverse outcomes in women in the perinatal period; thus, the assessment of insomnia is important for pregnant women. The Insomnia Severity Index (ISI) is an instrument used globally to assess the severity of insomnia. However, its factor structure and structural invarianc...

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Autores principales: Shinohara, Eriko, Hada, Ayako, Minatani, Mariko, Wakamatsu, Mikiyo, Kitamura, Toshinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138570/
https://www.ncbi.nlm.nih.gov/pubmed/37108028
http://dx.doi.org/10.3390/healthcare11081194
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author Shinohara, Eriko
Hada, Ayako
Minatani, Mariko
Wakamatsu, Mikiyo
Kitamura, Toshinori
author_facet Shinohara, Eriko
Hada, Ayako
Minatani, Mariko
Wakamatsu, Mikiyo
Kitamura, Toshinori
author_sort Shinohara, Eriko
collection PubMed
description Insomnia is associated with adverse outcomes in women in the perinatal period; thus, the assessment of insomnia is important for pregnant women. The Insomnia Severity Index (ISI) is an instrument used globally to assess the severity of insomnia. However, its factor structure and structural invariance for pregnant women have not been studied. Therefore, we aimed to conduct factor analyses to search for the best model to fit its structural invariance. A cross-sectional study with the ISI was conducted at one hospital and five clinics in Japan from January 2017 to May 2019. A set of questionnaires was administered on two occasions with a one-week interval. The study included 382 pregnant women ranging in gestational age from 10 to 13 weeks. One week later, 129 participants answered the retest. After exploratory and confirmatory factor analyses, the measurement and structural invariance between parity and two time points was tested. The two-factor structure model showed an acceptable fit for the ISI in pregnant women (χ(2) (12) = 28.516, CFI = 0.971, RMSEA = 0.089). The model also showed satisfactory measurement and structure invariance between parity and time points. The findings indicate that the ISI’s use would be appropriate for pregnant women as a two-factor subscale of “severity” and “impact”, regardless of the parity or time point. The ISI’s factor structure may vary by subject; hence, it is necessary to confirm the measurement and structural invariance of the subject for whom the ISI will be used. Furthermore, interventions that focus not only on total scores and cutoff points but also on the phenomenon of subscales should be considered.
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spelling pubmed-101385702023-04-28 The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points Shinohara, Eriko Hada, Ayako Minatani, Mariko Wakamatsu, Mikiyo Kitamura, Toshinori Healthcare (Basel) Article Insomnia is associated with adverse outcomes in women in the perinatal period; thus, the assessment of insomnia is important for pregnant women. The Insomnia Severity Index (ISI) is an instrument used globally to assess the severity of insomnia. However, its factor structure and structural invariance for pregnant women have not been studied. Therefore, we aimed to conduct factor analyses to search for the best model to fit its structural invariance. A cross-sectional study with the ISI was conducted at one hospital and five clinics in Japan from January 2017 to May 2019. A set of questionnaires was administered on two occasions with a one-week interval. The study included 382 pregnant women ranging in gestational age from 10 to 13 weeks. One week later, 129 participants answered the retest. After exploratory and confirmatory factor analyses, the measurement and structural invariance between parity and two time points was tested. The two-factor structure model showed an acceptable fit for the ISI in pregnant women (χ(2) (12) = 28.516, CFI = 0.971, RMSEA = 0.089). The model also showed satisfactory measurement and structure invariance between parity and time points. The findings indicate that the ISI’s use would be appropriate for pregnant women as a two-factor subscale of “severity” and “impact”, regardless of the parity or time point. The ISI’s factor structure may vary by subject; hence, it is necessary to confirm the measurement and structural invariance of the subject for whom the ISI will be used. Furthermore, interventions that focus not only on total scores and cutoff points but also on the phenomenon of subscales should be considered. MDPI 2023-04-21 /pmc/articles/PMC10138570/ /pubmed/37108028 http://dx.doi.org/10.3390/healthcare11081194 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shinohara, Eriko
Hada, Ayako
Minatani, Mariko
Wakamatsu, Mikiyo
Kitamura, Toshinori
The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points
title The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points
title_full The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points
title_fullStr The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points
title_full_unstemmed The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points
title_short The Insomnia Severity Index: Factor Structure and Measurement and Structural Invariance across Perinatal Time Points
title_sort insomnia severity index: factor structure and measurement and structural invariance across perinatal time points
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138570/
https://www.ncbi.nlm.nih.gov/pubmed/37108028
http://dx.doi.org/10.3390/healthcare11081194
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