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Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population

BACKGROUND: The Suboptimal Health Status Questionnaire-25 (SHS-Q-25) developed to measure Suboptimal Health Status has been used worldwide, but its construct validity has only been tested in the Chinese population. Applying Structural Equation Modelling, we investigate aspects of the construct valid...

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Autores principales: Adua, Eric, Afrifa-Yamoah, Ebenezer, Frimpong, Kwasi, Adama, Esther, Karthigesu, Shantha P., Anto, Enoch Odame, Aboagye, Emmanuel, Yan, Yuxiang, Wang, Youxin, Tan, Xuerui, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287694/
https://www.ncbi.nlm.nih.gov/pubmed/34281537
http://dx.doi.org/10.1186/s12955-021-01810-z
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author Adua, Eric
Afrifa-Yamoah, Ebenezer
Frimpong, Kwasi
Adama, Esther
Karthigesu, Shantha P.
Anto, Enoch Odame
Aboagye, Emmanuel
Yan, Yuxiang
Wang, Youxin
Tan, Xuerui
Wang, Wei
author_facet Adua, Eric
Afrifa-Yamoah, Ebenezer
Frimpong, Kwasi
Adama, Esther
Karthigesu, Shantha P.
Anto, Enoch Odame
Aboagye, Emmanuel
Yan, Yuxiang
Wang, Youxin
Tan, Xuerui
Wang, Wei
author_sort Adua, Eric
collection PubMed
description BACKGROUND: The Suboptimal Health Status Questionnaire-25 (SHS-Q-25) developed to measure Suboptimal Health Status has been used worldwide, but its construct validity has only been tested in the Chinese population. Applying Structural Equation Modelling, we investigate aspects of the construct validity of the SHS-Q-25 to determine the interactions between SHS subscales in a Ghanaian population. METHODS: The study involved healthy Ghanaian participants (n = 263; aged 20–80 years; 63% female), who responded to the SHSQ-25. In an exploratory factor and parallel analysis, the study extracted a new domain structure and compared to the established five-domain structure of SHSQ-25. A confirmatory factor analysis (CFA) was conducted and the fit of the model further discussed. Invariance analysis was carried out to establish the consistency of the instrument across multi-groups. RESULTS: The extracted domains were reliable with Cronbach’s [Formula: see text] of 0.846, 0.820 and 0.864 respectively, for fatigue, immune-cardiovascular and cognitive. The CFA revealed that the model fit indices were excellent [Formula: see text] . The fit indices for the three-domain model were statistically superior to the five-domain model. There were, however, issues of insufficient discriminant validity as some average variance extracts were smaller than the corresponding maximum shared variance. The three-domain model was invariant for all constrained aspects of the structural model across age, which is an important risk factor for most chronic diseases. CONCLUSION: The validity tests suggest that the SHS-Q25 can measure SHS in a Ghanaian population. It can be recommended as a screening tool to early detect chronic diseases especially in developing countries where access to facilities is diminished.
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spelling pubmed-82876942021-07-20 Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population Adua, Eric Afrifa-Yamoah, Ebenezer Frimpong, Kwasi Adama, Esther Karthigesu, Shantha P. Anto, Enoch Odame Aboagye, Emmanuel Yan, Yuxiang Wang, Youxin Tan, Xuerui Wang, Wei Health Qual Life Outcomes Research BACKGROUND: The Suboptimal Health Status Questionnaire-25 (SHS-Q-25) developed to measure Suboptimal Health Status has been used worldwide, but its construct validity has only been tested in the Chinese population. Applying Structural Equation Modelling, we investigate aspects of the construct validity of the SHS-Q-25 to determine the interactions between SHS subscales in a Ghanaian population. METHODS: The study involved healthy Ghanaian participants (n = 263; aged 20–80 years; 63% female), who responded to the SHSQ-25. In an exploratory factor and parallel analysis, the study extracted a new domain structure and compared to the established five-domain structure of SHSQ-25. A confirmatory factor analysis (CFA) was conducted and the fit of the model further discussed. Invariance analysis was carried out to establish the consistency of the instrument across multi-groups. RESULTS: The extracted domains were reliable with Cronbach’s [Formula: see text] of 0.846, 0.820 and 0.864 respectively, for fatigue, immune-cardiovascular and cognitive. The CFA revealed that the model fit indices were excellent [Formula: see text] . The fit indices for the three-domain model were statistically superior to the five-domain model. There were, however, issues of insufficient discriminant validity as some average variance extracts were smaller than the corresponding maximum shared variance. The three-domain model was invariant for all constrained aspects of the structural model across age, which is an important risk factor for most chronic diseases. CONCLUSION: The validity tests suggest that the SHS-Q25 can measure SHS in a Ghanaian population. It can be recommended as a screening tool to early detect chronic diseases especially in developing countries where access to facilities is diminished. BioMed Central 2021-07-19 /pmc/articles/PMC8287694/ /pubmed/34281537 http://dx.doi.org/10.1186/s12955-021-01810-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Adua, Eric
Afrifa-Yamoah, Ebenezer
Frimpong, Kwasi
Adama, Esther
Karthigesu, Shantha P.
Anto, Enoch Odame
Aboagye, Emmanuel
Yan, Yuxiang
Wang, Youxin
Tan, Xuerui
Wang, Wei
Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population
title Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population
title_full Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population
title_fullStr Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population
title_full_unstemmed Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population
title_short Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population
title_sort construct validity of the suboptimal health status questionnaire-25 in a ghanaian population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287694/
https://www.ncbi.nlm.nih.gov/pubmed/34281537
http://dx.doi.org/10.1186/s12955-021-01810-z
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