Evidence map›Paper›PMID 41847063›Full record

ArticleFrontiers in psychology2026

The role of soft skills in academic achievement among physical education students: a mediation analysis.

Quanhong Lu, Deke Liu, Yunmei Chai, Haipeng Yue, Song Yuan, Jingmiao Wang, Jianing Tian

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Quanhong LuChengdu Sport University, Chengdu, China.
Deke LiuChengdu Sport University, Chengdu, China.
Yunmei ChaiChengdu Sport University, Chengdu, China.
Haipeng YueChengdu Sport University, Chengdu, China.
Song YuanChengdu Sport University, Chengdu, China.
Jingmiao WangChengdu Sport University, Chengdu, China.
Jianing TianChengdu Sport University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the role of soft skills in academic performance among physical education students, with a focus on the mediating effects of self-management, adaptability, and social interaction. A dual-path mediation model was proposed, wherein cognitive and innovative abilities are associated with academic achievement through two mediators: self-management and adaptability, and social interaction and teamwork. A survey of 627 undergraduate physical education students was conducted, and data were analyzed using structural equation modeling (SEM) and regression analysis. The results show that cognitive and innovative abilities are significantly related to academic performance both directly and indirectly. Specifically, self-management and adaptability, as well as social interaction and teamwork, were found to partially mediate these relationships. The findings underscore the critical role of soft skills in enhancing academic success, highlighting the indirect effect of cognitive abilities on academic performance through the development of soft skills. This study contributes to the existing literature by demonstrating the importance of soft skills in education and suggesting that educational institutions should integrate soft skills training into curricula to improve student outcomes. The implications for educational practice are discussed, emphasizing the need for a holistic approach to student development that combines cognitive and non-cognitive skills to foster both academic and professional success.

Indexed as

academic performancecognitive abilitiesmediation effectphysical educationsoft skills

Identifiers

PMID41847063
PMCPMC12990125

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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.