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Objective:To explore the chain mediating effects of hostile cognition and anger between dark triad and college students' cyberbullying.Methods:From May to July 2022, a total of 1 316 college students from four universities completed a cross-section questionnaire survey including the dirty dozen (DD), the cyberbullying subscale of the revised cyber bullying inventory (RCBI), the hostility cognition and anger subquestionnaires of the aggression questionnaire (AQ). SPSS 26.0 and SPSS PROCESS macro program were used for descriptive analysis, Pearson correlation analysis and mediating effect test.Results:The prevalence of cyberbullying among college students in the past six months was 20.29%(267/1 316). Dark triad (34.80±12.11), hostile cognition (21.65±7.25), anger (17.58±5.44) and cyberbullying (15.19±3.98) were all significantly positively correlated with each other ( r=0.16-0.59, all P<0.01). The results of mediating effect test showed the indirect effect of dark triad on college students' cyberbullying through two pathways, one was the separate mediating effect of anger, and the effect value was 0.029 (95% CI=0.017-0.044), the other was the chain mediating effect of hostile cognition and anger, and the effect value was 0.037(95% CI=0.023-0.055). Conclusion:Dark triad can not only directly affect college students' cyberbullying, but also indirectly affect cyberbullying through the mediating role of anger and the chain mediating role of hostile cognition and anger.
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Objective:To explore the mediating effect of rumination between social anxiety and mobile phone addiction tendency among college students.Methods:The social avoidance and distress scale (SAD), mobile phone addiction tendency scale (MPATS) and ruminative response scale (RRS) were used to measure 682 college students.SPSS 25.0 and Mplus 7.0 were used for data analysis.Pearson correlation analysis was used to explore the correlation among social anxiety, mobile phone addiction tendency and rumination.Bootstrap method was used to test the mediating effect of rumination between social anxiety and mobile phone addiction tendency among college students.Results:The total score of social anxiety was (13.36±6.02), the total score of rumination was (51.04±11.56), and the total score of mobile phone addiction tendency was (40.46±11.74). The detection rate of mobile phone addiction tendency was 23.90%, and the detection rate of social anxiety was 49.85%.The total score of social anxiety was positively correlated with the total score of rumination ( r=0.31, P<0.01) and the total score of mobile phone addiction tendency ( r=0.25, P<0.01). The total score of rumination was positively correlated with the total score of mobile phone addiction tendency ( r=0.46, P<0.01). The structural equation model showed that rumination played a complete mediating role between high social anxiety and mobile phone addiction tendency, and the effect value was 0.18.There was no mediating effect between low social anxiety and mobile phone addiction tendency, and the direct effect value was 0.33. Conclusion:Low social anxiety directly affects college students' tendency of mobile phone addiction, while high social anxiety indirectly affects college students' tendency of mobile phone addiction through rumination.
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Objective:To explore the relevant brain regions of face/non-face processing, and face processing under different emotional valence in patients with social anxiety disorder(SAD).Methods:PubMed, Medline, ScienceDirect, CNKI and other databases were retrieved, and 31 peer-reviewed emotional face studies of SAD patients were obtained (facial and non-facial processing: 13 literatures, 481 subjects, 161 foci; face processing with different emotional titers: 18 literatures, 586 subjects, 331 foci). Cluster-level family-wise error (FWE, P<0.05) based coordinates of Talairach space was adopted. Results:Face processing in SAD patients activated the left amygdala (x=-18, y=-8, z=-12), the right amygdala (x=26, y=0, z=-20), the entorhinal cortex (Brodmann area 28, x=16, y=-8, z=-10) and the medial prefrontal cortex (Brodmann area 10, x=2, y=44, z=-8). In addition, when SAD patients processed negative faces, the left amygdala (x=-26, y=0, z=-16), the right amygdala (x=26, y=0, z=-12), the left medial globus pallidus (x=-20, y=-10, z=-6) and right medial globus pallidus (x=20, y=-10, z=-6) had strong activation, which fear faces activated bilateral amygdala (left: x=-28, y=0, z=-16, right: x=28, y=-2, z=-12) and angry faces activated the medial globus pallidus (x=20, y=-8, z=-6).Conclusion:There are specific neural mechanisms for face processing in patients with SAD.Bilateral amygdala, entorhinal cortex and medial prefrontal cortex are key brain regions for face processing.The amygdala and medial globus pallidus are important neural regions for face processing of negative emotions.