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使用网络分析,在不孕症患者的不同个人资料中识别抑郁和焦虑的中心症状

Fang Liu^1,2, Wei Qiao¹, Wenju Han³

¹Department of Operation Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

|March 12, 2025

概括

这项研究使用集群和网络分析在不孕症患者中确定了明显的抑郁和焦虑概况. 识别悲伤和焦虑等中心症状可以指导有针对性的心理健康干预.

科学领域:

心理健康心理健康
生殖医学生殖医学
心理分析心理分析

背景情况:

不孕症显著影响心理健康,抑郁和焦虑是常见的和后果.
现有的研究缺乏对不育人群中抑郁和焦虑的明确概况.
有针对性的干预需要对特定患者的症状集群有明确的了解.

研究的目的:

在患有不孕症的患者中划出明显的抑郁和焦虑特征.
在每个定义的个人资料中识别中心症状.
促进针对不孕症患者提供心理健康支持的量身定制干预策略的开发.

主要方法:

采用K-means集群和潜在类分析 (LCA) 来识别患者个人资料.
网络分析被用来确定每个已识别的集群中的中心症状.
分析了患者健康问卷 (PHQ-9) 和通用焦虑障碍 (GAD-7) 症状数据.

主要成果:

从K-means集群 (1-3集群) 和LCA (低,轻度,高风险组) 中出现了三种不同的患者概况.
网络分析显示了强烈的症状内联系,突出了诸如"悲伤情绪" (PHQ-2),"紧张" (GAD-1) 和"无法控制的担忧" (GAD-2) 等关键症状.
在每个群体中确定了特定的中心症状,包括"过度担忧" (GAD-3) 和"不安" (GAD-5) 在群体2中",疲劳" (PHQ-4) 和"易怒" (GAD-6) 在群体3中.

结论:

在不孕症患者队列中,成功确定了三种不同的抑郁和焦虑特征.
确定了每个特征中的中心症状,为干预提供了具体的目标.
未来的研究和临床策略应专注于这些已识别的中心症状,以有效管理不孕症的心理健康.

关键词:

焦虑焦虑是一种焦虑.抑郁症抑郁症抑郁症不孕不育不孕不育不孕不育 K-表示集群.隐藏类分析隐藏类分析网络分析网络分析

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