Evidence map›Paper›PMID 34281537›Full record

ArticleHealth and quality of life outcomes2021

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

Eric Adua, Ebenezer Afrifa-Yamoah, Kwasi Frimpong, Esther Adama, Shantha P Karthigesu, Enoch Odame Anto, Emmanuel Aboagye, Yuxiang Yan, Youxin Wang, Xuerui Tan and 1 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 22 citations in OpenAlex.

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  12. The Interactions of Media Use, Obesity, and Suboptimal Health Status: A Nationwide Time-Trend Study in China.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 4 countries.

Eric Adua *Center for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.
Ebenezer Afrifa-Yamoah *School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.
Kwasi FrimpongSchool of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.
Esther AdamaSchool of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.
Shantha P KarthigesuCenter for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.
Enoch Odame AntoCenter for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.
Emmanuel AboagyeInstitute of Environmental Medicine, Karolinska Institute, Nobels Väg 13, 17177, Stockholm, Sweden.
Yuxiang YanBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China.
Youxin WangBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China.
Xuerui TanShantou University of Medical College, Shantou, China.
Wei WangCenter for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia. wei.wang@ecu.edu.au.ORCID http://orcid.org/0000-0002-1430-1360
Edith Cowan University · AUCapital Medical University · CNKarolinska Institutet · SEShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Health StatusSurveys and QuestionnairesAdultAgedAged, 80 and overFactor Analysis, StatisticalFemaleGhanaHumansLatent Class AnalysisMaleMiddle AgedReproducibility of ResultsYoung AdultConstruct validityFactor analysisStructural equation modellingSuboptimal Health Status Questionnaire

Identifiers

PMID34281537
PMCPMC8287694
OpenAlexW3196769901

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.