Influencing factors and network analysis of aggressive behavior among Chinese college students based on propensity score matching

ZENG Rui; ZHAO Mengxiao; HU Mengmeng; LIU Xin; CHANG Hongjuan

doi:10.16835/j.cnki.1000-9817.2025083

Volume 46 Issue 3

Mar. 2025

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ZENG Rui, ZHAO Mengxiao, HU Mengmeng, LIU Xin, CHANG Hongjuan. 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

Citation:

ZENG Rui, ZHAO Mengxiao, HU Mengmeng, LIU Xin, CHANG Hongjuan. 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

Citation:

ZENG Rui, ZHAO Mengxiao, HU Mengmeng, LIU Xin, CHANG Hongjuan. 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

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Influencing factors and network analysis of aggressive behavior among Chinese college students based on propensity score matching

doi: 10.16835/j.cnki.1000-9817.2025083

School of Medicine, Wuhan University of Science and Technology, Wuhan(430081), Hubei Province, China

Received Date: 2024-10-22
Rev Recd Date: 2025-02-11

Available Online: 2025-04-03

Publish Date: 2025-03-25

Abstract

Abstract

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

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References(37)

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