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Cyberbullying, Mental Health, and Violence in Adolescents and Associations With Sex and Race: Data From the 2015 Youth Risk Behavior Survey

机译:青少年的百灵网,心理健康和暴力和性别和种族的协会:来自2015年青年风险行为调查的数据

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Background. Cyberbullying is a serious issue among adolescents, but little is known about how demographics are associated with mental health conditions and violent behaviors. The present study examined the association of cyberbullying victimization with mental health conditions and violent behaviors among adolescents, specifically examining potential differences by sex and race. Methods. National data obtained from a representative sample of 9th to 12th grade students (N = 15 465) in the United States were examined using bivariate and logistic regression analysis. Results. More than 15% of students reported cyberbullying victimization. Females were twice as likely to report victimization than males, and non-white students were 50% less likely to report cyberbullying victimization. Cyberbullying victimization was significantly more likely in students who reported depressive symptoms, suicidal ideation, suicide planning, carrying a weapon, and engaging in a physical fight. These associations were more pronounced in males. Conclusions. Our findings show that female and white adolescents are at increased risk of being cyberbullied. However, negative mental health outcomes and violent behaviors are more pronounced in males, indicating potential negative effects of being a cyberbullying victim based on sex. We envisage the best way to combat cyberbullying is to develop programs that are sensitive to potential demographic differences to empower students based on individual risks.
机译:背景。 Cyber​​bullying是青少年中的一个严重问题,但众所周知,人口统计学与心理健康状况和暴力行为有关。本研究审查了百年跨心理健康状况和青少年中的剧烈行为的百月形武装的关联,特别是通过性和种族检查潜在的差异。方法。使用双方和后勤回归分析检查了美国90至12年级学生(N = 15 465)的代表性样本所获得的国家数据。结果。超过15%的学生报告了网络欺凌受害者。报告受害者的女性可能比男性的可能性是,非白人学生减少50%,以减少报告网络欺凌受害。报告抑郁症状,自杀意见,自杀计划,携带武器的学生,持续的患者持续较可能的可能性显着较大。这些关联在雄性中更加明显。结论。我们的研究结果表明,女性和白色青少年的风险增加了网络平保的风险。然而,负面心理健康成果和暴力行为在男性中更加明显,表明基于性别是网络欺凌受害者的潜在负面影响。我们设想打击网络欺凌的最佳方式是制定对潜在的人口统计差异敏感的程序,以基于个别风险。

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