Evidence map›Paper›PMID 41734159›Full record

ArticlePloS one2026

The effects of fitness self-testing with instant feedback on changes in health-related fitness among Chinese male college students.

Yongshun Wang, Xiaofen D Hamilton, Rulan Shangguan, Anlu Yang, Na Xiao, Chenhao Wu, Sizhe Liu, Ren Yang, Jiren Zhang, Mark F Hamilton

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yongshun WangCollege of Physical Education, Huaqiao University, Xiamen, China.
Xiaofen D HamiltonDepartment of Curriculum and Instruction, The University of Texas at Austin, Austin, United States of America.
Rulan ShangguanSchool of Physical Education, South China University of Technology, Guangzhou, China.
Anlu YangDepartment of Physical Education, China University of Mining and Technology-Beijing, Beijing, China.
Na XiaoDepartment of Curriculum and Instruction, The University of Texas at Austin, Austin, United States of America.
Chenhao WuDepartment of Curriculum and Instruction, The University of Texas at Austin, Austin, United States of America.
Sizhe LiuCollege of Physical Education, Huaqiao University, Xiamen, China.
Ren YangCollege of Physical Education, Huaqiao University, Xiamen, China.
Jiren ZhangCollege of Physical Education, Huaqiao University, Xiamen, China.ORCID https://orcid.org/0009-0004-6845-695X
Mark F HamiltonDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe decline in health-related physical fitness resulting from physical inactivity remains a critical global public health concern. Technology-supported fitness self-testing has the potential not only to improve students' testing experiences but also to enhance their health-related fitness. However, the effectiveness of such approaches has not yet been systematically examined, and their validity within university populations remains largely unestablished.

methodA quasi-experimental research design with a control group (n = 45) and an experimental group (n = 44), incorporating pre- and post-tests, was employed in this study. The experimental group completed monthly self-testing sessions accompanied by GAI-generated instant feedback over a 16-week period, whereas the control group participated in general physical education classes that included multiple physical activities. Health-related fitness (HRF) was assessed using BMI, the one-mile run, pull-ups, and sit and reach tests. VO₂max was included as a covariate to control for baseline differences in HRF between the two groups. Repeated-measures multivariate analysis of covariance (RM-MANCOVA) was conducted to examine the effects of the intervention on HRF outcomes.

resultsAfter controlling for baseline VO2max, RM-MANCOVA indicated significant time × group interaction for sit and reach (p < 0.001) and one-mile run (p < 0.05), with the intervention group demonstrating significant improvement in both tests. However, no significant differences were observed between groups for body mass index (BMI) and the pull-ups test.

conclusionsThese findings suggested that HRF self-testing with instant GAI feedback was an effective intervention for improving certain HRF components, particularly flexibility and aerobic fitness. Further research is necessary to explore the long-term effects of self-testing and its application across diverse populations.

Indexed as

Physical FitnessStudentsBody Mass IndexChinaEast Asian PeopleExercise TestHumansMaleUniversitiesYoung Adult

Identifiers

PMID41734159
PMCPMC12931746

What Socratic 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 Socratic graph.