Evidence map›Paper›PMID 40880410›Full record

ArticlePloS one2025

How electronic health literacy influences physical activity behaviour among university students: A moderated mediation model.

Ning Zhou, Fanzheng Mu, Yao Zhang, Dingyou Zang, Weidong Zhu, Xiaoyu Wang, Wei Wang, Haoyu Li, Jiaqiang Wang, Xingyu Zhang and 18 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

28 authors.

Ning ZhouInstitute of Sports Science, Nantong University, Nantong, China.
Fanzheng MuInstitute of Sports Science, Nantong University, Nantong, China.
Yao ZhangInstitute of Sports Science, Nantong University, Nantong, China.
Dingyou ZangInstitute of Sports Science, Nantong University, Nantong, China.
Weidong ZhuInstitute of Sports Science, Nantong University, Nantong, China.
Xiaoyu WangInstitute of Sports Science, Nantong University, Nantong, China.
Wei WangInstitute of Sports Science, Nantong University, Nantong, China.
Haoyu LiInstitute of Sports Science, Nantong University, Nantong, China.
Jiaqiang WangInstitute of Sports Science, Nantong University, Nantong, China.
Xingyu ZhangInstitute of Sports Science, Nantong University, Nantong, China.
Chenxi LiInstitute of Sports Science, Nantong University, Nantong, China.
Yuhan LiInstitute of Sports Science, Nantong University, Nantong, China.
Mohan HeInstitute of Sports Science, Nantong University, Nantong, China.
Wenhao ZhangInstitute of Sports Science, Nantong University, Nantong, China.
Qi LiuInstitute of Sports Science, Nantong University, Nantong, China.
Bochun LuInstitute of Sports Science, Nantong University, Nantong, China.
Shanshan HanInstitute of Sports Science, Nantong University, Nantong, China.
Yaxing LiPhysical Education University, Shangqiu University, Shangqiu, China.
Yangsheng ZhangSchool of Physical Education, Nanjing Xiaozhuang University, Nanjing, China.
Lingli XuInstitute of Sports Science, Nantong University, Nantong, China.
Yuyan QianInstitute of Sports Science, Nantong University, Nantong, China.
Lei DingInstitute of Sports Science, Nantong University, Nantong, China.
Chuanyi XuGuangxi University of Chinese Medicine, Nanning, China.
Han LiDepartment of Physical Education, Ordos Institute of Applied Technology, Ordos, China.
Shuo FengUniversity of Physical Education, Xinyang Normal University, Xinyang, Henan, China.
Lanlan YangInstitute of Sports Science, Nantong University, Nantong, China.
Yong WeiNantong Institute of Technology, Nantong, Jiangsu, China.
Bo LiInstitute of Sports Science, Nantong University, Nantong, China.ORCID https://orcid.org/0000-0002-3730-5364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study examines how eHealth literacy influences exercise behaviour among university students through a moderated mediation model. Specifically, peer relationships are positioned as mediators, while sleep quality moderates the effect of eHealth literacy on exercise behaviour among university students. The study explores the intricate interactions involved and elucidates how eHealth literacy affects exercise behaviour through multiple dimensions.

methodsStudent data were collected via questionnaire surveys across multiple academies. A stratified purpose sampling approach was employed for participant selection, targeting four specific universities to ensure regional and typhological representation: Nanjing Xiaozhuang University, Yangzhou University, Shangqiu University, and Yangzhou Polytechnic Institute. This process resulted in 14,892 valid responses for analysis, and SPSS 26.0 along with the PROCESS macro was used to analyses variables such as electronic health literacy, physical activity, sleep quality, and peer relationships.

resultsThe structural equation modeling revealed a significant direct effect of eHealth literacy on university students physical activity behaviour (β=0.065, p<0.001). Mediation analysis delineated an indirect pathway through peer relationships: eHealth literacy significantly enhanced peer relationship quality (β=0.251, p<0.001), which subsequently predicted increased physical activity (β=0.058, p<0.001). Peer relationships significantly mediate between eHealth literacy and university students physical activity (β=0.251, p<0.001). Additionally, sleep quality serves as a moderating variable (β=0.029, p<0.001), significantly moderating the direct effect of eHealth literacy on university students physical activity, with the 95% confidence intervals consistently excluding zero.

conclusionEHealth literacy among university students can significantly and positively predict their exercise behaviour. Peer relationships mediate the effect of eHealth literacy on exercise behaviour. At the same time, sleep quality is a moderating variable influencing eHealth literacy's direct impact on university students exercise behaviour.

Indexed as

ExerciseHealth LiteracyStudentsAdolescentAdultFemaleHumansMalePeer GroupSleepSleep QualitySurveys and QuestionnairesTelemedicineUniversitiesYoung Adult

Identifiers

PMID40880410
PMCPMC12396646

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.