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首页> 外文期刊>Frontiers in Psychology >Internet-Communication Disorder: It's a Matter of Social Aspects, Coping, and Internet-Use Expectancies
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Internet-Communication Disorder: It's a Matter of Social Aspects, Coping, and Internet-Use Expectancies

机译:互联网通信障碍:这是社会方面,应对和互联网使用期望的问题

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Online communication applications such as Facebook, WhatsApp, and Twitter are some of the most frequently used Internet applications. There is a growing amount of individuals suffering diminished control over their use of online communication applications which leads to diverse negative consequences in offline life. This could be referred to as Internet-communication disorder (ICD). The current study investigates the role of individual characteristics (e.g., psychopathological symptoms, feelings of loneliness) and specific cognitions. In a sample of 485 participants a structural equation model was tested to investigate predictors and mediators which may predict an excessive use. The results emphasize that a higher level of social loneliness and less perceived social support enhance the risk of a pathological use. The effects of psychopathological symptoms (depression and social anxiety) as well as individual characteristics (self-esteem, self-efficacy, and stress vulnerability) on ICD symptoms are mediated by Internet-use expectancies and dysfunctional coping mechanisms. The results illustrate mediation effects which are in line with the theoretical model by Brand et al. (2016). As suggested in the model social aspects seem to be key predictors of ICD symptoms. Further research should investigate convergent and divergent factors of other types of specific Internet-use disorders.
机译:诸如Facebook,WhatsApp和Twitter之类的在线通信应用程序是一些最常用的Internet应用程序。越来越多的人失去了对在线交流应用程序使用的控制,这导致了离线生活的各种负面后果。这可以称为互联网通信障碍(ICD)。当前的研究调查了个体特征(例如,心理病理症状,孤独感)和特定认知的作用。在485名参与者的样本中,测试了结构方程模型,以研究可能预测过度使用的预测变量和中介变量。结果强调,较高的社会孤独感和较少的社会支持感会增加病理性使用的风险。心理病理症状(抑郁和社交焦虑)以及个人特征(自尊,自我效能和压力脆弱性)对ICD症状的影响是由互联网使用预期和功能失调的应对机制介导的。结果表明,调解效果与Brand等人的理论模型相符。 (2016)。如模型中所建议的,社会方面似乎是ICD症状的关键预测因子。进一步的研究应该调查其他类型的特定互联网使用障碍的趋同和分歧因素。

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