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Influencing factors and network analysis of aggressive behavior among Chinese college students based on propensity score matching
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Rui ZENG, Mengxiao ZHAO, Mengmeng HU, Xin LIU, Hongjuan CHANG*
Chinese Journal of School Health | 2025, 46(3) : 358 - 363
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Chinese Journal of School Health | 2025, 46(3): 358-363
• Mental Health •
Influencing factors and network analysis of aggressive behavior among Chinese college students based on propensity score matching
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Rui ZENG, Mengxiao ZHAO, Mengmeng HU, Xin LIU, Hongjuan CHANG*
Affiliations
  • School of Medicine, Wuhan University of Science and Technology, Wuhan(430081), Hubei Province, China
Published: 2025-03-25 doi: 10.16835/j.cnki.1000-9817.2025083
Outline
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Objective

To explore the influencing factors and network structure of aggressive behaviors among college students based on propensity score matching (PSM), so as to provide precise targeted interventions for the prevention and improvement of aggressive behaviors among college students.

Methods

A total of 2 652 college students were selected by convenient sampling method from three colleges in Wuhan, Hubei Province in June 2023. Questionnaire surveys were carried out by using the Buss-Warren Aggression Questionnaire (BWAQ), Ruminative Responses Scale (RRS), Cognitive Emotion Regulation Questionnaire-Chinese Version (CERQ-C), Family APGAR Index (APGAR), Brief Fear of Negative Evaluation Scale (BFNES).By bias score matching (PSM) for 1∶1 matching, univariate and multivariate Logistic regression analysis, and network analysis were conducted on the college students.

Results

College students with higher levels of ruminant thinking, non-adaptive emotional regulation and fear of negative appraisal were more likely to have highly aggressive behaviors(OR=1.14, 1.18, 1.06), and those with higher adaptive emotional regulation and family care index were more likely to have highly aggressive behaviors (OR=0.88, 0.82)(P < 0.01). Network structure was significantly different between the two groups (M=0.27, P < 0.05). The core affective factors of college students with high levels of aggressive behavior were brooding reflective pondering and symptom rumination(EI=3.50, 3.49, 3.48), low aggressive behavior college students core affective factors were adaptive emotion regulation growth and non-adaptive emotion regulation(EI=4.37, 4.12, 4.08).

Conclusion

Factors affecting Chinese college students' aggressive behaviors are of different characteristics on different behaviour types, and targeted interventions should be adopted to reduce aggressive behaviors of college students.

Aggression  /  Behavior  /  Regression analysis  /  Propensity score matching  /  Students
曾睿, 赵梦霄, 胡萌萌, 刘欣, 常红娟. 基于倾向性评分匹配的中国大学生攻击性行为影响因素及网络分析. 中国学校卫生, 2025 , 46 (3) : 358 -363 . DOI: 10.16835/j.cnki.1000-9817.2025083
Rui ZENG, Mengxiao ZHAO, Mengmeng HU, Xin LIU, Hongjuan CHANG. Influencing factors and network analysis of aggressive behavior among Chinese college students based on propensity score matching[J]. Chinese Journal of School Health, 2025 , 46 (3) : 358 -363 . DOI: 10.16835/j.cnki.1000-9817.2025083
Year 2025 volume 46 Issue 3
8
5
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Article Info
doi: 10.16835/j.cnki.1000-9817.2025083
  • Receive Date:2024-10-22
  • Online Date:2026-11-06
  • Published:2025-03-25
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  • Received:2024-10-22
  • Revised:2025-02-11
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    School of Medicine, Wuhan University of Science and Technology, Wuhan(430081), Hubei Province, China
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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