抑郁症是否导致过度使用技术,反之亦然? 一个跨层面的小组分析了中国大学生之间的双向关系
1Department of Psychology, School of Education and Teach, Ningxia University, Yinchuan, Ningxia Province, 750021, China.
BMC psychology
|May 9, 2025
概括
技术使用模式,特别是夜间和社会比较动机的使用,预测学生的抑郁症增加. 相反,抑郁症推动了逃生动机的技术使用,突出了复杂的双向关系.
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:
- 大学学生中抑郁症率的上升与技术参与度的增加相吻合.
- 技术使用和抑郁症之间的双向关系尚未得到充分理解,特别是在非西方人群中.
研究的目的:
- 研究特定技术使用模式与中国大学生抑郁症严重程度之间的双向关系.
- 采用严格的纵向设计来研究这些复杂的相互作用随着时间的推移.
主要方法:
- 在中国的737名本科生中进行了四波纵向研究.
- 使用了经过验证的抑郁症 (PHQ-9),焦虑症 (GAD-7) 和技术使用模式的措施.
- 带有随机拦截的交叉滞后面板模型分析了双向关系,控制共变量.
主要成果:
- 夜间和社会比较激发的技术使用预测会增加抑郁症.
- 抑郁症更强烈地预测了逃避驱动的技术使用增加.
- 超重/肥胖减轻了技术对抑郁的影响,这表明对这个群体的影响更大.
结论:
- 在大学生中,技术使用和抑郁症之间存在复杂的,模式特定的双向关系.
- 某些技术使用背景可能会在抑郁症之前出现,而抑郁症可以驱动特定的使用模式.
- 调查结果为针对抑郁症和有问题的技术使用提供了有针对性的干预措施.
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