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在大学期间,互联网游戏障碍的发展轨迹和预测因素:以人为中心的五波队列研究
Xiaofei Qiao1, Xiaoyan Chen2, Ya Zhu3
1College of Education, Hebei University, Baoding, China.
Addictive behaviors
|October 31, 2023
概括
在大学生中确定了互联网游戏障碍 (IGD) 轨迹,揭示了稳定-低,增加和减少的模式. 高度的自我控制和自我同情预测了较低的IGD风险.
科学领域:
- 心理学 心理学 心理学
- 公共卫生 公共卫生
- 数字媒体研究 数字媒体研究
背景情况:
- 互联网游戏障碍 (IGD) 是一个日益严重的公共卫生问题.
- 在IGD的纵向变化还不太清楚.
- 大学学生是研究IGD发展的关键人口.
研究的目的:
- 在大学期间探索IGD的异质轨迹.
- 识别与不同的IGD模式相关的保护性和风险因素.
- 为有风险的学生提供有针对性的干预信息.
主要方法:
- 一个五波纵向研究设计.
- 在5787名大学生中利用了增长混合模型.
- 检查了时间变化的预测因素,如自我控制,自我同情,抑郁症状和同行冲突.
主要成果:
- 确定了三个IGD轨迹:稳定-低 (87.42%),增长 (6.80%),以及下降 (5.78%).
- 高度的自我控制和自我同情与稳定-低IGD组有关.
- 抑郁症状和同行冲突显著预测了IGD风险的增加.
结论:
- 在大学生中存在不同的IGD轨迹.
- 自制和自我同情是保护因素.
- 及时的心理健康干预对于减轻IGD风险至关重要.
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