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Predictors for Digital Game Addiction Among Turkish Adolescents A Cox's Interaction Model-Based Study

机译:土耳其青少年数字游戏成瘾的预测因子COX的互动模型研究

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Background: Digital game addiction among adolescents is a growing problem. The purpose of this study is to describe the predictors for this addiction in a group of Turkish adolescents using a conceptual framework. Methods: A descriptive correlational study was conducted on 865 students (aged 11-16 years) and their parents. Self-reported digital game behaviors were measured using the Game Addiction Scale. The risk factors for gaming addiction were examined using multiple regression analysis. Results: Adolescents spent 10.78 +/- 13.42 hours per week playing digital games, and the rate of digital game addiction was calculated at 4.32% and 28.8% in monothetic and polythetic formats, respectively. Family environment and school performance directly affected female adolescents' digital gaming behaviors, whereas male adolescents' digital gaming behaviors were directly affected by computer self-efficacy, psychosocial problems, diminished impulse control, and levels of in-game violence. Conclusions: The interaction model of client health behavior can be used to describe adolescents' digital game use. Nurses can assess adolescents' gaming behaviors and use the effective predictors from the male and female models to develop intervention programs.
机译:背景:青少年之间的数字游戏成瘾是一种不断增长的问题。本研究的目的是描述使用概念框架的一群土耳其青少年的这种成瘾的预测因子。方法:在865名学生(11-16岁)及其父母上进行了描述性相关研究。使用游戏成瘾规模测量自我报告的数字游戏行为。使用多元回归分析检查游戏成瘾的危险因素。结果:青少年每周花费10.78 +/- 13.42小时播放数字游戏,数码游戏成瘾的速度分别以4.32%和28.8%的单一和多种形式计算。家庭环境和学校表现直接影响了女青少年的数字游戏行为,而男性青少年的数字游戏行为直接受到计算机自我效能,心理社会问题,减少冲动控制和游戏中的暴力水平的影响。结论:客户健康行为的互动模型可用于描述青少年的数字游戏使用。护士可以评估青少年的游戏行为,并利用来自男性和女性模型的有效预测因子来开发干预计划。

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