网络分析中国大学生中自闭症特征和有问题的手机使用及其与抑郁症的关联
Gang Liu1, Ya Liu1, Zongping Chen1
1School of Education Sciences, Chongqing Normal University, Chongqing, China.
Frontiers in psychiatry
|January 31, 2025
概括
网络分析揭示了核心症状,将大学生中的自闭症特征与有问题的手机使用 (PMPU) 联系起来. 关键症状,如戒断和过度使用,和桥梁症状,如注意力切换,被确定为有针对性的干预措施.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 公共卫生 公共卫生
背景情况:
- 自闭症谱系障碍 (ASD) 的特征在一般人群中越来越多地得到认可.
- 问题性手机使用 (PMPU) 是年轻成年人日益关注的问题.
- 需要进一步调查ASD特征,PMPU和抑郁症之间的相互作用.
研究的目的:
- 调查自闭症特征和PMPU的网络结构.
- 为了确定自闭症特征和PMPU之间的中心和桥梁症状.
- 探索这些症状与大学生抑郁症的关联.
主要方法:
- 网络分析应用于949名中国大学生的数据.
- 使用了经过验证的尺度:自闭症谱系系数 (AQ),智能手机成尺度 (SAS) 和抑郁症的CES-D.
- 计算中心性指数以识别核心和桥梁症状.
主要成果:
- 在自闭症特征和PMPU网络中,戒断 (WD),以网络空间为导向的关系 (COR) 和过度使用 (OU) 是核心症状.
- 注意切换 (AS),沟通 (CO) 和COR桥接了自闭症特征和PMPU网络.
- 社会技能 (SK),COR,CO和日常生活障碍 (DLD) 显示与抑郁症有很强的关联.
结论:
- 特定的症状,如戒断,过度使用和以网络空间为导向的关系,是自闭症特征和PMPU的共同发生的核心.
- 诸如注意力转换和沟通等症状可以作为干预措施的关键环节.
- 了解这些网络结构可以为经历自闭症特征和PMPU的大学生提供有针对性的干预措施,从而有可能减轻抑郁症状.
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