Evidence map›Paper›PMID 41851223›Full record

ArticleScientific reports2026

Network analysis of personality traits, gender roles, and team cohesion in youth athletes.

Haoyang Tang, Wentao Qiu, Rui Li, Xishuai Wang, Yuyang Nie, Yuqing Wang, Tianci Wang, Li Liu, Qi Wang, Jiacheng Chen and 1 more

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Article in Scientific reports, 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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Haoyang TangSchool of Physical Education and Sports Science, Qufu Normal University, Qufu, Shandong, China.
Wentao QiuCollege of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Rui LiCollege of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Xishuai WangSchool of Physical Education and Sports Science, Qufu Normal University, Qufu, Shandong, China.
Yuyang NieCollege of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Yuqing WangSchool of Physical Education, Huaibei Normal University, Huaibei, Anhui, China.
Tianci WangNingxia University School of Physical Education, Yinchuan, Ningxia, China.
Li LiuCollege of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China.
Qi WangCollege of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China. qiwang@bnu.edu.cn.
Jiacheng ChenCollege of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China. 91122021002@bnu.edu.cn.
Cong LiuCollege of Education for the Future, Beijing Normal University, Zhuhai, Guangdong, China. congliu@bnu.edu.cn.

Funding

Introduction of Talent and Research start-up Fund of Beijing Normal University Zhuhai Campus 29100-312200502543
6 · The paper itself

Abstract

This study aimed to explore the associations among personality traits, gender roles, and team cohesion in youth athletes using network analysis and regression modeling. A sample of 518 youth athletes aged 12-18 years from a sports school in Jiangsu Province, China, completed standardized measures of personality traits, gender roles, and team cohesion. Network analysis visualized the interaction structure among variables, and regression analysis identified optimal predictors of team cohesion. Results showed that associations within constructs were stronger than those between constructs. Key inter-construct bridges included links between "Agreeableness" and "Task Attractiveness", and between "Masculinity" and "Group Attractiveness". "Masculinity"exhibited the highest Bridge Expected Influence (BEI), emerging as the central bridge node, and significant gender differences were observed in network characteristics. Regression analysis indicated that Agreeableness and Masculinity were the strongest predictors of team cohesion. In conclusion, the perceptions of personality traits, gender roles, and cohesion form a dynamic associative network in youth athletes, with masculinity and agreeableness serving as central nodes and the closest indicators of team cohesion. This study provides theoretical insights into the mechanisms influencing team cohesion and suggests that fostering masculine traits and agreeableness could be a focus for interventions aimed at enhancing team cohesion and psychological well‑being in this population. These associative and exploratory findings warrant further verification through causal research.

Indexed as

AthletesGender IdentityPersonalityAdolescentChildChinaFemaleGroup DynamicsHumansInterpersonal RelationsMaleSocial GroupGender rolesNetwork analysisPersonality traitsTeam cohesionYouth athletes

Identifiers

PMID41851223
PMCPMC13133383

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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.