Dataset Information

Adolescents' Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits.

ABSTRACT: The purpose of the present study was to investigate the role of gender and gender stereotype traits (masculinity, femininity) in cyber victimization behaviors (cyber relational victimization, cyber verbal victimization, hacking) through different technologies (mobile phones, gaming consoles, social networking sites). There were 456 8th graders (226 females; M age = 13.66, SD = 0.41) from two midwestern middle schools in the United States included in this study. They completed questionnaires on their endorsement of masculine and feminine traits, and self-reported cyber victimization through different technologies. The findings revealed main effects of types of cyber victimization for boys and of technology for girls. In particular, boys with feminine traits experienced the most victimization by cyber verbal aggression, cyber relational aggression, and hacking when compared to the other groups of boys. Girls with feminine traits experienced the most cyber victimization through social networking sites, gaming consoles, and mobile phones in comparison to the other groups of girls. For girls with feminine traits, they reported more cyber relational victimization and cyber verbal victimization through mobile phones and social networking sites, as well as more hacking via social networking sites. Such findings underscore the importance of considering gender stereotype traits, types of victimization, and technologies when examining cyber victimization.

SUBMITTER: Wright MF

PROVIDER: S-EPMC7068439 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Adolescents' Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits.

Wright Michelle F MF Wachs Sebastian S

International journal of environmental research and public health 20200217 4

The purpose of the present study was to investigate the role of gender and gender stereotype traits (masculinity, femininity) in cyber victimization behaviors (cyber relational victimization, cyber verbal victimization, hacking) through different technologies (mobile phones, gaming consoles, social networking sites). There were 456 8th graders (226 females; M age = 13.66, SD = 0.41) from two midwestern middle schools in the United States included in this study. They completed questionnaires on t ...[more]

PMID: 32079366

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Project description:PurposeCyber victimization is a national mental health concern, especially among adolescents who are digital natives. The current study examined sleep quality as a mediator of the association between cyber victimization and depressive symptoms among adolescents.Design and methodA prospective study design was utilized with a community sample of adolescents (N = 801; 57% female; mean age = 14.45, SD = .85) from the eastern United States. Participants completed (a) the Pittsburgh Sleep Quality Index; (b) the Cyber Victimization Scale; and (c) the Center for Epidemiologic Studies Depression Scale Revised via online surveys at baseline and 6-month follow-up. The inter-relationship between variables was analyzed by Hayes' mediation approach.FindingsCyber victimization was not directly associated with having depressive symptoms 6 months later when controlling for adolescents' poor sleep quality, sex, and age (direct effect [c'] = .012, t(676) = 1.12, p < .05, confidence interval [CI] -.008, .036). The mediation analysis indicated a significant indirect effect of poor sleep quality on the relationship between cyber victimization and depressive symptoms (ab = .005, bootstrapped standard error [SE] = .003, bootstrapped CI .001, .011; a is the effect of cyber victimization on poor sleep quality; b is the effect of poor sleep quality on depressive symptoms). Specifically, adolescents' cyber victimization led to poor sleep quality (a = .039, SE = .041, p < .05), which also led to increased depressive symptoms (b = .116, SE = .019, p < .001), after controlling for depressive symptoms at baseline, sex, and age. The indirect effect of cyber victimization on depressive symptoms was estimated through poor sleep quality (a*b = .039(.116) = .0045).ConclusionsThe findings suggest that poor sleep quality may be a mechanism through which cyber bullying is related prospectively to depressive symptoms. Interventions for cyber-victimized adolescents should include assessment of sleep quality and incorporate sleep hygiene education.Clinical relevanceAdolescents should be screened for cyber victimization and sleep quality. Moreover, promotion of sleep hygiene among cyber-victimized adolescents may help to reduce depression.

Dataset Information

Adolescents' Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits.

Publications

Adolescents' Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits.

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