The longitudinal effect of violent attitude on physical aggression and the underlying motivational mechanisms

Li, Rui; Yang, Rujiao; Mei, Huang; Xia, Ling‐Xiang

doi:10.1016/j.paid.2021.111476

Cited by 4 publications

(1 citation statement)

References 41 publications

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“…This may be because anger rumination increases anger (Takebe et al, 2016), which in turn motivates individuals to engage in aggressive behavior in an attempt to regulate negative affect (Anestis et al, 2009; Beames et al, 2019; Rusting & Nolen‐Hoeksema, 1998). Furthermore, some longitudinal studies with participants exposed to nature also showed that anger rumination is an essential predictor of aggression (Li et al, 2022; Quan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Effects of personal relative deprivation on the relationship between anger rumination and aggression during and after the COVID‐19 pandemic lockdown: A longitudinal moderated network approach

Tao

Niu

et al. 2023

Journal of Adolescence

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Introduction: Several studies have demonstrated a directional link between rage rumination and aggression. However, recent research suggests that this relationship is bidirectional. The current study examined the complex relationships between anger rumination and aggression using a moderated network approach in a longitudinal design while considering personal relative deprivation. Method: A total of 665 participants (59.25% female, age mean±SD = 19.01 ± 1.25) were enrolled at two-time points. Assessments included self-report measures of the Anger Rumination Scale, Buss-Perry Aggression Questionnaire, and Relative Deprivation Scale. A Moderated Network Model (MMN) was used to test the complex links among anger rumination, aggression, and personal relative deprivation. Results: The analysis revealed that the link between anger rumination and aggression was complex and bidirectional. Notably, as the level of personal relative deprivation increased, verbal aggression had a positive conditional effect on anger afterthoughts in Wave 2, and thoughts of revenge had a positive conditional effect on verbal aggression in Wave 2. Moreover, as the first discovery, anger afterthoughts and anger had a negative conditional effect on each other across levels of personal relative deprivation in Wave 2. In addition, network comparison indicates that the MNMs structure was significantly different across timepoints, implying that anger rumination and aggression were inextricably linked in college students during isolation and that this complicated relationship was weakened after isolation. Conclusions: This study deepens our understanding of the bidirectional relationships between anger rumination and aggression and recognizes the moderating role of personal relative deprivation.

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Section: Introductionmentioning

confidence: 99%

Effects of personal relative deprivation on the relationship between anger rumination and aggression during and after the COVID‐19 pandemic lockdown: A longitudinal moderated network approach

Tao

Niu

et al. 2023

Journal of Adolescence

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Dissecting the Predictors of Cyber‐Aggression Through an Explainable Machine Learning Model

Zhu,

Wang,

Liu

et al. 2024

Aggressive Behavior

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The general aggression model (GAM) suggests that cyber‐aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study used the light gradient boosting machine (LightGBM) to identify and rank the importance of various risk and protective factors in cyber‐aggression. The SHAP (SHapley Additive exPlanations) technique estimated each variable's predictive effects, and two‐dimensional partial dependence (PD) Plots examined interactions among predictors. Among 30 potential factors, the top five were attitudes toward violence, revenge motivation, anti‐bullying attitudes, moral disengagement, and anger rumination. PD analysis showed significant interactions between protective factors (anti‐bullying attitudes and moral reasoning) and risk factors (attitudes toward violence, revenge motivation, moral disengagement, and anger rumination). High scores on protective factors mitigated the impact of risk factors on cyber‐aggression. These findings support and expand GAM, offering implications for reducing cyber‐aggression among Chinese college students.

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Neural correlates of aggression outcome expectation and their association with aggression: A voxel-based morphometry study

Gong,

Hu,

Liao

et al. 2024

Neuroscience Letters

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The longitudinal effect of violent attitude on physical aggression and the underlying motivational mechanisms

Cited by 4 publications

References 41 publications

Effects of personal relative deprivation on the relationship between anger rumination and aggression during and after the COVID‐19 pandemic lockdown: A longitudinal moderated network approach

Effects of personal relative deprivation on the relationship between anger rumination and aggression during and after the COVID‐19 pandemic lockdown: A longitudinal moderated network approach

Dissecting the Predictors of Cyber‐Aggression Through an Explainable Machine Learning Model

Neural correlates of aggression outcome expectation and their association with aggression: A voxel-based morphometry study

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