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Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong

The present study examined the psychometric properties of the 12-item Stroke-Specific Quality of Life Scale (SSQOL-12) in 184 stroke survivors in Hong Kong. The participants completed a self-report questionnaire including the SSQOL-12, SF-12 health survey, and validating variables at baseline and 14...

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Autores principales: Fong, Ted C. T., Lo, Temmy L. T., Ho, Rainbow T. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883526/
https://www.ncbi.nlm.nih.gov/pubmed/36707541
http://dx.doi.org/10.1038/s41598-023-28636-7
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author Fong, Ted C. T.
Lo, Temmy L. T.
Ho, Rainbow T. H.
author_facet Fong, Ted C. T.
Lo, Temmy L. T.
Ho, Rainbow T. H.
author_sort Fong, Ted C. T.
collection PubMed
description The present study examined the psychometric properties of the 12-item Stroke-Specific Quality of Life Scale (SSQOL-12) in 184 stroke survivors in Hong Kong. The participants completed a self-report questionnaire including the SSQOL-12, SF-12 health survey, and validating variables at baseline and 148 stroke survivors completed SSQOL-12 two months later. Confirmatory factor analysis investigated the construct validity, reliability, and measurement invariance of SSQOL-12 across two months. Concurrent, convergent, and divergent validity was examined with respect to SF-12, hope, self-esteem, functional disability, anxiety, and depression. The original 2-factor model did not reveal a superior fit over the 1-factor model and a modified 1-factor model provided an acceptable fit to the data in both waves. The SSQOL-12 factor displayed substantial factor loadings (λ = 0.40–0.87), good internal consistency (Ω = 0.88), temporal stability (r = 0.70), and scalar measurement invariance across time. Stroke-specific quality of life was significantly associated with higher levels of SF-12, hope, and self-esteem and lower levels of functional disability, anxiety, and depression. Most correlations remained significant after controlling for demographic covariates and SF-12. The present findings offered empirical support for the validity and reliability of the unidimensional structure for SSQOL-12 as a measure of stroke-specific quality of life among stroke survivors.
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spelling pubmed-98835262023-01-29 Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong Fong, Ted C. T. Lo, Temmy L. T. Ho, Rainbow T. H. Sci Rep Article The present study examined the psychometric properties of the 12-item Stroke-Specific Quality of Life Scale (SSQOL-12) in 184 stroke survivors in Hong Kong. The participants completed a self-report questionnaire including the SSQOL-12, SF-12 health survey, and validating variables at baseline and 148 stroke survivors completed SSQOL-12 two months later. Confirmatory factor analysis investigated the construct validity, reliability, and measurement invariance of SSQOL-12 across two months. Concurrent, convergent, and divergent validity was examined with respect to SF-12, hope, self-esteem, functional disability, anxiety, and depression. The original 2-factor model did not reveal a superior fit over the 1-factor model and a modified 1-factor model provided an acceptable fit to the data in both waves. The SSQOL-12 factor displayed substantial factor loadings (λ = 0.40–0.87), good internal consistency (Ω = 0.88), temporal stability (r = 0.70), and scalar measurement invariance across time. Stroke-specific quality of life was significantly associated with higher levels of SF-12, hope, and self-esteem and lower levels of functional disability, anxiety, and depression. Most correlations remained significant after controlling for demographic covariates and SF-12. The present findings offered empirical support for the validity and reliability of the unidimensional structure for SSQOL-12 as a measure of stroke-specific quality of life among stroke survivors. Nature Publishing Group UK 2023-01-27 /pmc/articles/PMC9883526/ /pubmed/36707541 http://dx.doi.org/10.1038/s41598-023-28636-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Fong, Ted C. T.
Lo, Temmy L. T.
Ho, Rainbow T. H.
Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong
title Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong
title_full Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong
title_fullStr Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong
title_full_unstemmed Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong
title_short Psychometric properties of the 12-item Stroke-Specific Quality of Life Scale among stroke survivors in Hong Kong
title_sort psychometric properties of the 12-item stroke-specific quality of life scale among stroke survivors in hong kong
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883526/
https://www.ncbi.nlm.nih.gov/pubmed/36707541
http://dx.doi.org/10.1038/s41598-023-28636-7
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