在大量大学生样本中,精神分裂特征,情感和前性症状,社会功能之间的动态相互作用:交叉滞后的小组网络分析
Shou-Nuo Chen1, Guo-Hui Zhu2, Juan Yang2
1School of Psychology, Shandong Second Medical University, Shandong 261053, China.
Schizophrenia research
|January 31, 2025
概括
随着时间的推移,精神分裂特征和情感症状显著影响社会功能. 了解这些动态对于针对大学生心理健康和福祉的干预措施至关重要.
科学领域:
- 精神病学是一个精神病学.
- 心理学 心理学 心理学
- 网络分析 网络分析
背景情况:
- 以前的研究表明,精神分裂特征,情感症状和社会功能障碍之间存在联系.
- 这些因素之间的动态相互作用和时间关系需要进一步研究.
研究的目的:
- 探索精神分裂特征,情感症状和社会功能之间的横截面和纵向关联.
- 通过网络分析,研究产卵性风险在这些关系中的作用.
主要方法:
- 一项纵向研究涉及9136名大学生,在两个时间点评估精神分裂特征,焦虑,抑郁,前性风险和社会功能.
- 采用同时和交叉滞后的面板网络分析来绘制变量相互作用和预测效应的地图.
- 使用Prodromal问卷 (PQ-16) 来区分子组和网络比较测试 (NCT) 来比较网络结构.
主要成果:
- 消极的精神分裂特征,焦虑和抑郁是相互关联的,与社会功能负面相关.
- 人际精神分裂特征成为网络中最核心的节点.
- 交叉滞后分析证实,人格特征和情绪预测了社会功能;在网络结构中发现了高风险和低风险小组之间的显著差异.
结论:
- 精神分裂特征,情感症状和前性风险是动态相互关联的,并影响社会功能.
- 这些发现突出了影响学生群体社会福祉的心理因素的复杂相互作用.
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