Evidence map›Paper›PMID 38305242›Full record

ArticleJournal of global health2024

Assessing suboptimal health status in the Saudi population: Translation and validation of the SHSQ-25 questionnaire.

Mohamed Ali Alzain, Collins Otieno Asweto, Sehar-Un-Nisa Hassan, Mohammed Elshiekh Saeed, Ahmed Kassar, Kamal Elbssir Mohammed Ali, Mouna Ghorbel, Rafat Zrieq, Bandar Alsaif, Wei Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

10 authors at 6 institutions in 6 countries.

Mohamed Ali Alzain *Department of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia.
Collins Otieno Asweto *Department of Community Health, School of Nursing, University of Embu, Embu, Kenya.
Sehar-Un-Nisa HassanDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia.
Mohammed Elshiekh SaeedFaculty of Medicine, National University-Sudan, Khartoum, Sudan.
Ahmed KassarDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia.
Kamal Elbssir Mohammed AliDepartment of Community Health, Occupation Health and Safety Program, Northern Boarder University, Arar, Saudi Arabia.
Mouna GhorbelDepartment of Biology, College of Sciences, University of Hail, P.O., Ha'il City, Saudi Arabia.
Rafat ZrieqDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia.
Bandar AlsaifDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il City, Saudi Arabia.
Wei WangClinical Research Center, First Affiliated Hospital, Shantou University Medical College, Shantou, China.
University of Ha'il · SAUniversity of Dongola · SDApplied Science Private University · JOEdith Cowan University · AUNorthern Border University · SAUniversity of Embu · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Suboptimal Health Status (SHS) is realised as a vital feature for improving global health. However, the Arabian world does not have a validated instrument for screening SHS in their population. Therefore, the study aimed to evaluate the psychometric properties of Arabic-translated SHS (ASHSQ-25) in the Saudi Arabian population. Methods: We conducted a cross-sectional study among the conveniently sampled 1590 participants from the Saudi population (with a 97.4% response rate). The data was gathered through an online survey and then exported into SPSS and AMOS version 26.0 for analysis. Mann-Whitney and Kruskal-Wallis tests were used to identify the median difference between demographic groups. The one-tailed 90% upper limit of SHS scores was chosen as the cut-off criteria for SHS. Reliability and confirmatory analysis were performed for the psychometric evaluation of ASHSQ-25 in the Saudi Arabian context. Results: This study demonstrates that the ASHSQ-25 has good internal consistency, interclass correlation coefficient (ICC) = 0.92; 95% confidence interval (CI) = 0.91-0.93) and reliability (Cronbach's α = 0.92). The confirmatory factor analysis (CFA) results indicated a good fit of the databased on the CMIN/degrees of freedom (df) = 4.461, comparative fit index (CFI) = 0.94, Tucker Lewis index (TLI) = 0.93, and Root Mean Square Error of Approximation (RMSEA) = 0.05. The result factor loadings for each item were high (≥ 0.55), except for one item from the immune system subscale. The SHS cut-off point for ASHSQ-25 was 33, leading to a 23.7% prevalence of SHS. Conclusions: This study reveals that ASHSQ-25 has appropriate internal consistency and structural validity to assess SHS in an Arabic-speaking population; therefore, it is recommended.

Indexed as

Health StatusCross-Sectional StudiesHumansReproducibility of ResultsSaudi ArabiaSurveys and Questionnaires

Identifiers

PMID38305242
PMCPMC10836270
OpenAlexW4391472904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.