{"title":"Exploring the Link Between Cyber Victimization and Depression.","authors":"Chelsea Olson,Amy Bellmore","doi":"10.1891/vv-2022-0223","DOIUrl":null,"url":null,"abstract":"Cyber victimization is strongly and positively associated with depressive symptoms in adolescence. Identifying mechanisms of this association is imperative to benefit adolescents' mental health. Applying the General Aggression Model in a theoretically novel way, this study examined a complex mediational pathway between cyber victimization and depressive symptoms. Two hundred seventy-seven adolescent participants (M age = 15.84; 65.7% females) reported their own cyber victimization experiences, depressive symptoms, and cognitive, emotional, and behavioral attributions in response to a hypothetical cyber victimization scenario. Path analysis within structural equation modeling was used to test a model where cyber victimization predicted depressive symptoms through characterological self-blame cognitions, sadness emotions, and passive avoidance behaviors. Characterological self-blame was found to partially mediate the positive and significant association between cyber victimization and depressive symptoms. Sadness emotions and passive avoidance behaviors did not emerge as significant mediators. The findings implicate the importance of cognitions in explaining the association between cyber victimization and depression and suggest incorporating cognitive re-framing education into anti-cyberbullying prevention programs.","PeriodicalId":48139,"journal":{"name":"Violence and Victims","volume":"65 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Violence and Victims","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1891/vv-2022-0223","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Cyber victimization is strongly and positively associated with depressive symptoms in adolescence. Identifying mechanisms of this association is imperative to benefit adolescents' mental health. Applying the General Aggression Model in a theoretically novel way, this study examined a complex mediational pathway between cyber victimization and depressive symptoms. Two hundred seventy-seven adolescent participants (M age = 15.84; 65.7% females) reported their own cyber victimization experiences, depressive symptoms, and cognitive, emotional, and behavioral attributions in response to a hypothetical cyber victimization scenario. Path analysis within structural equation modeling was used to test a model where cyber victimization predicted depressive symptoms through characterological self-blame cognitions, sadness emotions, and passive avoidance behaviors. Characterological self-blame was found to partially mediate the positive and significant association between cyber victimization and depressive symptoms. Sadness emotions and passive avoidance behaviors did not emerge as significant mediators. The findings implicate the importance of cognitions in explaining the association between cyber victimization and depression and suggest incorporating cognitive re-framing education into anti-cyberbullying prevention programs.
期刊介绍:
We all face the difficult problem of understanding and treating the perpetrators and victims of violence behavior. Violence and Victims is the evidence-based resource that informs clinical decisions, legal actions, and public policy. Now celebrating its 25th year, Violence and Victims is a peer-reviewed journal of theory, research, policy, and clinical practice in the area of interpersonal violence and victimization. It seeks to facilitate the exchange of information on this subject across such professional disciplines as psychology, sociology, criminology, law, medicine, nursing, psychiatry, and social work.