Evidence map›Paper›PMID 42756360›Full record

ArticleFrontiers in public health2026

Gender disparities in eHealth literacy among Chinese university students and their decomposition.

Yuyao Song, Yusupujiang Tuersun, Qingping Zhou, Wenyu Wang, Yao Yu, Chenxi Wang, Hanyue Liu, Yao Wu, Yuying Xie, Zhenning Liang and 1 more

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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. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yuyao Song *School of Health Management, Southern Medical University, Guangzhou, China.
Yusupujiang Tuersun *Lianyungang Market Supervision Administration, Lianyungang, China.
Qingping Zhou *Shenzhen Maternity and Child Healthcare Hospital, Women and Children's Medical Center, Southern Medical University, Shenzhen, China.
Wenyu WangSchool of Health Management, Southern Medical University, Guangzhou, China.
Yao YuSchool of Health Management, Southern Medical University, Guangzhou, China.
Chenxi WangThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hanyue LiuStomatological Hospital of Southern Medical University, Guangzhou, China.
Yao WuSchool of Health Management, Southern Medical University, Guangzhou, China.
Yuying XieShenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China.
Zhenning LiangDepartment of Academic Affairs, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Yi QianSchool of Health Management, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a high-frequency user group of the internet, university students' eHealth literacy not only affects their own health but also has a radiating effect on the health literacy of the entire population. Gender disparities may lead to an imbalance in eHealth literacy among university students, thereby affecting their health status. Understanding these disparities is important from a public health perspective for designing equitable digital health interventions. Methods: The eHealth Literacy Scale was used to assess the eHealth literacy levels of 7,230 university students from various institutions and majors across 10 regions. Chi-square tests and binary logistic regression were employed to analyze factors associated with gender disparities in eHealth literacy, and the Fairlie decomposition model was used to quantify the contribution of each factor. Results: The average eHealth literacy score of the sampled Chinese university students was 29.22 ± 6.68. Of the 7,230 students, 4,135 (57.2%) scored below the 32-point eHEALS cut-off. Regarding gender, female students had a significantly higher rate of inadequate eHealth literacy (2,847/4,820, 59.07%) compared with male students (1,288/2,410, 53.44%; Conclusion: Significant gender disparities exist in eHealth literacy among Chinese university students, with male students showing higher levels. This disparity is associated with mental health status, socioeconomic status, and lifestyle behaviors. This study proposes several potential strategies including fostering a gender-equal atmosphere, optimizing digital resource allocation, and strengthening campus mental health services that may help to narrow the gap.

Indexed as

Health LiteracyStudentsTelemedicineAdultChinaDigital HealthFemaleHumansMaleSex FactorsUniversitiesYoung Adultdigital healtheHealth literacyFairlie decomposition modelgender disparitieshealth equityuniversity students

Identifiers

PMID42756360
PMCPMC13582514

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