Evidence map›Paper›PMID 42052031›Full record

ArticleFrontiers in public health2026

Associations of eHealth literacy, physical literacy and physical fitness among urban middle school students in Guiyang, China: a multi-school cross-sectional study.

Junfeng Yuan, Lin Luo, Rui Wu

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Junfeng YuanSchool of Physical Education, Guizhou Normal University, Guiyang, China.
Lin LuoSchool of Physical Education, Guizhou Normal University, Guiyang, China.
Rui WuGuiyang No. 19 Middle School, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the overall levels, disparities, and interrelations of eHealth literacy and physical literacy among urban junior high school students in Guiyang, examine their associations with physical health status, and develop a multifactorial predictive model to inform evidence-based health promotion strategies targeting urban adolescents. Methods: A stratified cluster sampling method was used to recruit students from grades 7 to 9 in multiple urban junior high schools across Guiyang. The study employed a cross-sectional quantitative design incorporating structured questionnaires and standardized physical fitness assessments. Validated instruments-including an established eHealth Literacy Scale and a physical literacy assessment tool-were used alongside data derived from the National Student Physical Fitness Standards. Demographic and familial educational background data were also collected. Descriptive statistics, non-parametric analyses, Spearman partial correlation, and multivariate logistic regression were conducted to systematically explore the relationships among eHealth literacy, physical literacy, and physical health levels. Results: Urban junior high school students in Guiyang demonstrated generally above-average levels of eHealth literacy, though a substantial subset fell below the expected proficiency threshold. Statistically meaningful disparities in both eHealth and physical literacy were observed across gender, grade level, parental education, and the frequency of digital health information instruction provided by families and teachers ( Conclusion: The physical health of urban junior high school students in Guiyang is shaped not only by their physical literacy but also by their capacity to navigate and utilize digital health information. Higher levels of eHealth literacy may facilitate adolescents' ability to acquire and evaluate digital health information, which can further support the development of physical literacy and promote healthier behavioral patterns. Enhancing adolescent physical health therefore requires simultaneous investment in both digital health competencies and foundational physical literacy, supported by a coordinated framework across schools, families, and communities. This study elucidates the interactive dynamics among eHealth literacy, physical literacy, and physical health from an urban youth perspective, offering critical guidance for the design of localized digital health education, physical literacy enhancement, and integrated intervention strategies.

Indexed as

Health LiteracyPhysical FitnessStudentsUrban PopulationAdolescentChinaCross-Sectional StudiesDigital HealthFemaleHumansMaleSchoolsSurveys and Questionnairesdigital health educationeHealth literacyhealth promotionphysical healthphysical literacyurban adolescents

Identifiers

PMID42052031
PMCPMC13111474

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LicenceCC BY
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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.