Eric Adua1,2,3, Ebenezer Afrifa-Yamoah4, Kwasi Frimpong4,5, Esther Adama6, Shantha P Karthigesu1, Enoch Odame Anto1,7, Emmanuel Aboagye8, Yuxiang Yan9, Youxin Wang9, Xuerui Tan2, Wei Wang10,11. 1. Center for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia. 2. Shantou University of Medical College, Shantou, China. 3. Department of Biochemistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. 4. School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia. 5. Ghana Institute of Management and Public Administration, Accra, Ghana. 6. School of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia. 7. Department of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. 8. Institute of Environmental Medicine, Karolinska Institute, Nobels Väg 13, 17177, Stockholm, Sweden. 9. Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China. 10. Center for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia. wei.wang@ecu.edu.au. 11. Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China. wei.wang@ecu.edu.au.
Abstract
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.
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.
Authors: Cora L Craig; Alison L Marshall; Michael Sjöström; Adrian E Bauman; Michael L Booth; Barbara E Ainsworth; Michael Pratt; Ulf Ekelund; Agneta Yngve; James F Sallis; Pekka Oja Journal: Med Sci Sports Exerc Date: 2003-08 Impact factor: 5.411
Authors: Eric Adua; Elham Memarian; Alyce Russell; Irena Trbojević-Akmačić; Ivan Gudelj; Julija Jurić; Peter Roberts; Gordan Lauc; Wei Wang Journal: Biomark Med Date: 2019-09-27 Impact factor: 2.851