ICD-11长期悲伤的潜在结构:在两个国家队列中复制的因子混合模型
James Cunningham1, Mark Shevlin1, Eoin McElroy1
1School of Psychology, Ulster University, Coleraine, United Kingdom.
PLOS mental health
|February 20, 2026
概括
在一般人群中,长期悲伤障碍 (PGD) 症状最好被理解为严重程度的连续,而不是不同的类别. 诸如责怪和愤怒之类的特定症状表明查目的的严重程度更高.
科学领域:
- 心理学 心理学 心理学
- 精神病学是一个精神病学.
- 流行病学 流行病学
背景情况:
- 长期悲伤障碍 (PGD) 在诊断手册中得到认可 (ICD-11,DSM-5-TR).
- 在一般人群中,PGD症状的基本结构需要澄清.
- 之前的研究还没有最终确定PGD是否存在于严重程度连续或作为不同的亚型.
研究的目的:
- 在一般人群样本中调查长期悲伤障碍 (PGD) 症状的潜在结构.
- 为了确定PGD是否最好用单个严重程度连续体或混合维度/类结构来表示.
- 评估独立队列中识别的结构的稳定性和可解释性.
主要方法:
- 利用来自两个大型普通人口队列 (英国和爱尔兰) 的横截面数据.
- 采用了一系列逐步进行的统计分析:探索性/确认性因子分析,潜伏性分析和因子混合模型.
- 使用国际长期悲伤障碍量表 (IPGDS) 评估长期悲伤障碍.
主要成果:
- 在两个队列中都始终支持三因素测量结构.
- 一个三因素,四类因子混合模型提供了最可解释和可重复的结构.
- 根据严重程度排序的四个潜伏类别被高精度地确定,显示症状形状的单调进展.
- 责怪和愤怒是高严重程度的关键指标,而避免具有较低的歧视价值.
结论:
- 人口级别的PGD症状主要是维度的,潜伏类代表实用性的严重程度分组.
- 建议进行面向评估,重点关注分离痛苦,并补充指责和愤怒的检查,用于监视和选.
- 需要未来的纵向研究来确认类稳定性和预后价值.
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