Evidence map›Paper›PMID 40057528›Full record

ArticleScientific reports2025

Gender differences in the relationship between big five personality traits and aggression among physical education students.

Yugang Guo

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Yugang GuoSchool of Physical Education, Anyang Normal University, Anyang, Henan, China. guoyugang@aynu.edu.cn.ORCID http://orcid.org/0000-0002-8013-904X

Funding

Henan Province Education Science Planning Project 2024YB0184
6 · The paper itself

Abstract

This study examines the relationship between Big Five personality traits and aggression in physical education students, with particular attention to gender differences in aggressive behaviors. A cross-sectional study was conducted using a convenience sampling method to recruit physical education undergraduates aged 18-24. an online questionnaire was distributed via WeChat groups, yielding 410 valid responses (94% effective response rate) from students in Henan, China (245 males, 165 females). Participants completed the Big Five Personality Short Form Scale and the Buss-Perry Aggression Questionnaire (BPAQ). Statistical analyses, including Pearson correlation, one-way ANOVA, and hierarchical regression models, were performed to examine the relationship between personality traits and various types of aggression, as well as to explore gender-specific patterns. Gender differences were found in the types of aggression exhibited by male and female students. Male students showed significantly higher levels of physical aggression (mean = 1.82, SD = 0.66) compared to female students (mean = 1.57, SD = 0.53), with a significant difference (t = 4.254, p < 0.001). Conversely, female students scored significantly higher in anger (mean = 2.15, SD = 0.75) than male students (mean = 1.97, SD = 0.74), with a significant difference (t =  - 2.423, p < 0.01). In terms of personality traits, neuroticism was positively associated with general aggression, anger, and hostility, supporting previous research that links emotional instability with aggressive behavior. Agreeableness was negatively correlated with physical aggression, and conscientiousness was linked to lower levels of verbal aggression. Notably, individuals with high extraversion and low conscientiousness exhibited the highest tendency for verbal aggression, highlighting the synergistic effects of personality trait combinations. Together, these personality traits explained 12.2% of the variance in aggression, emphasizing the significant role of personality in predicting aggression in physical education contexts. These findings suggest that both personality traits and gender contribute to aggressive behaviors. Specifically, male students with lower agreeableness are more likely to exhibit physical aggression, while female students with higher neuroticism tend to exhibit more anger. The "high extraversion-low conscientiousness" trait combination emerged as a key predictor of verbal aggression, underscoring the importance of addressing personality trait interactions in intervention design.Interventions aimed at improving emotional regulation, agreeableness, and conscientiousness could be particularly effective in reducing aggression. Tailoring strategies to address gender differences in aggression could further enhance the effectiveness of these interventions.

Indexed as

AggressionPersonalityPhysical Education and TrainingStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleSex FactorsSurveys and QuestionnairesYoung AdultAggressionBig Five personality traitsEmotion regulationGender differencesPhysical education

Identifiers

PMID40057528
PMCPMC11890549

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LicenceCC BY-NC-ND
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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.