Scholarlink

<p>Previous studies have noted links between peer relationships and depressive symptoms, but few have explored the subtle internal connections and inherent directionalities of these associations. Undirected and Bayesian network analyses were utilized to explore the interrelationships among key constructs in this study, which focused on 802 Chinese rural children (<i>M</i><sub><i>age</i></sub>= 12.16 years, <i>SD</i> = 0.83, 46.13% boys). Undirected network analysis revealed that <i>Self-hatred</i>, <i>Sadness</i>, and <i>Loneliness</i> were central nodes within the networks of peer relationships and depressive symptoms. <i>Mutual support</i>, <i>Friendship skills</i>, and <i>Popularity</i> emerged as key nodes linking peer relationships with the network of depressive symptoms. Bayesian network analysis demonstrated that <i>Sadness</i> and <i>Popularity</i> act as triggering nodes within the network, which are ultimately leading to depressive symptoms such as <i>Pessimism</i>, <i>School difficulty</i>, <i>Indecisiveness</i>, and <i>Feeling unloved</i>. These findings provide supports for the development of targeted interventions to reduce depressive symptoms in rural children, with a focus on different aspects of peer relationship.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Associations Between Peer Relationships and Depressive Symptoms in Rural Children: Undirected and Bayesian Network Analyses

  • 期刊论文

  • 发表日期：

    2025年2月27日

查看全文
  • Jianjing Jiang,
  • Shengnan Zhang,
  • Zhongyan Su,
  • Xiaoman Yang,
  • Yujie Zhang,
  • Ningning Huang,
  • Yuan Fang,
  • Zhiyan Chen

摘要

Previous studies have noted links between peer relationships and depressive symptoms, but few have explored the subtle internal connections and inherent directionalities of these associations. Undirected and Bayesian network analyses were utilized to explore the interrelationships among key constructs in this study, which focused on 802 Chinese rural children (Mage= 12.16 years, SD = 0.83, 46.13% boys). Undirected network analysis revealed that Self-hatred, Sadness, and Loneliness were central nodes within the networks of peer relationships and depressive symptoms. Mutual support, Friendship skills, and Popularity emerged as key nodes linking peer relationships with the network of depressive symptoms. Bayesian network analysis demonstrated that Sadness and Popularity act as triggering nodes within the network, which are ultimately leading to depressive symptoms such as Pessimism, School difficulty, Indecisiveness, and Feeling unloved. These findings provide supports for the development of targeted interventions to reduce depressive symptoms in rural children, with a focus on different aspects of peer relationship.