Evidence map›Paper›PMID 36181723›Full record

ArticleJournal of global health2022

Translation and cross-cultural validation of a precision health tool, the Suboptimal Health Status Questionnaire-25, in Korean.

Zheng Guo, Ruoyu Meng, Yulu Zheng, Xingang Li, Ziqi Zhou, Leilei Yu, Qian Tang, Ying Zhao, Monique Garcia, Yuxiang Yan and 7 more

Abstract read
In one paragraph

Article in Journal of global health, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Effects of a Home-based Virtual Group Exercise Program in Asian Women.International journal of preventive medicine · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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

17 authors.

Zheng Guo *Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia.
Ruoyu Meng *Department of Physiology, Institute of Medical Science, Jeonbuk National University Medical School, Jeonju, Korea.
Yulu Zheng *Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia.
Xingang LiCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia.
Ziqi ZhouDepartment of Herbology, School of Korean Medicine, Wonkwang University, Jeonbuk, Korea.
Leilei YuDepartment of Endocrinology, Taian City Central Hospital, Taian, China.
Qian TangDepartment of Obstetrics, Tengzhou People's Central Hospital, Tengzhou, China.
Ying ZhaoSchool of Foreign Languages, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Monique GarciaCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia.
Yuxiang YanSchool of Foreign Languages, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China.
Manshu SongSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
Lois BalmerCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia.
Jun WenSchool of Business and Law, Edith Cowan University, Joondalup, Western Australia, Australia.
Haifeng HouSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
Xuerui TanThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Wei WangCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia.
Suboptimal Health Study Consortium (SHSC) and the Global Health Epidemiology Research Group (GHERG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Suboptimal health status (SHS) is a reversible stage between health and illness that is characterized by health complaints, low energy, general weakness, and chronic fatigue. The Suboptimal Health Status Questionnaire-25 (SHSQ-25) has been validated in three major populations (African, Asian, and Caucasian) and is internationally recognized as a reliable and robust tool for health estimation in general populations. This study focused on the development of K-SHSQ-25, a Korean version of the SHSQ-25, from its English version. Methods: The SHSQ-25 was translated from English to Korean according to international guidelines set forth by the World Health Organization (WHO) for health instrument translation between different languages. A subsequent cross-sectional survey involved 460 healthy South Korean participants (aged 18-83 years; 65.4% females) to answer the 25 questions focusing on the health perspectives of 5 domains, 1) fatigue, 2) cardiovascular health, 3) digestive tract, 4) immune system and 5) mental health. The K-SHSQ-25 was further validated using tests for reliability, internal consistency, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). Results: The version of K-SHSQ-25 achieved linguistic, cultural, and conceptual equivalence to the English version. The intraclass correlation coefficient (ICC) of test-retest reliability for individual items ranged from 0.88 to 0.99. Reliability estimates based on internal consistency reached a Cronbach's α of 0.953; the Cronbach's α for each domain ranged from 0.76 to 0.94. Regarding construct validity, the EFA of the K-SHSQ-25 generally replicated the multidimensional structure (fatigue, cardiovascular, digestive, immune system, and mental health) and 25 questions. The CFA revealed that the root mean square error of approximation (RMSEA), goodness-of-fit index (GFI) and adjusted goodness of fit index (AGFI) were excellent (RMSEA = 0.069<0.08, GFI = 0.929>0.90, AGFI = 0.907>0.90). The five domains of the K-SHSQ-25 showed significant correlations with each other (r = 0.59-0.81, P<0.001). The cut-off point of K-SHSQ-25 for SHS was determined as an SHS score of 25. The prevalence of SHS in this study was 60.0% (276/460), with 47.8% (76/159) for males and 58.5% for females (176/301). Conclusions: Our results indicate that the Korean version of SHSQ-25, K-SHSQ-25, is a transcultural equivalent, robust, valid, and reliable assessment tool for evaluating SHS in the Korean-speaking population.

Indexed as

Cross-Cultural ComparisonLanguageCross-Sectional StudiesFemaleHealth StatusHumansMalePrecision MedicineReproducibility of ResultsRepublic of KoreaSurveys and Questionnaires

Identifiers

PMID36181723
PMCPMC9526479

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.