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针对中国的童年孤独问题:in silico干预和调节网络分析

Xinle Yu^1,2, Xuanzhi Zhang^1,2, Kusheng Wu³

¹Mental Health Center of Shantou University, Shantou, Guangdong, China.

Child and adolescent psychiatry and mental health

|July 27, 2025

概括

在中国,童年孤独与同伴的接受和友有关. 早期,以同行为中心的干预是幸福的关键,更高的社会经济地位提供了对抑郁症状的保护.

科学领域:

儿童和青少年心理学儿童和青少年心理学
公共卫生公共卫生
网络科学网络科学

背景情况:

童年孤独是一个关键的公共卫生问题,特别是在中国,对症状相互作用的理解有限.
以前的研究还没有充分探索孤独症状的复杂相互作用及其与心理因素和社会经济地位 (SES) 的关系.

研究的目的:

在中国背景下澄清童年孤独的网络结构.
通过基于网络的方法识别预防和干预的具体目标.
检查心理因素和家庭SES对孤独的影响.

主要方法:

包括图形高斯模型 (GGM) 和调节网络模型 (MNM) 在内的网络分析,应用于中国州2593名学龄儿童的数据.
在Ising模型中使用NodeIdentifyR算法 (NIRA) 的in silico干预被用于确定关键干预目标.
收集的数据包括孤独,抑郁症状,焦虑症状,多动症症状,感知到的社会支持,希望和家庭SES.

主要成果:

缺乏友和同行接受被确定为预防和干预的关键目标.
孤独被发现是心理网络中的一个中心和桥梁症状,与其他心理变量密切相关.
较高的家庭社会经济地位 (SES) 对孤独和抑郁症状之间的关联以及希望产生缓冲效应.

结论:

这些发现表明,早期,以同龄人为中心,文化敏感的干预措施对于支持儿童福祉至关重要.
这项研究开创了网络分析和in silico干预方法在中国儿童孤独的应用,提供了新的见解和策略.

关键词:

在 silico 干预中,干预是无形的.童年的孤独童年的孤独家庭的社会经济地位.这是友,是友.经过调节的网络分析.同龄人接受同龄人的接受

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