基于DSM-5-TR的长期悲伤障碍的潜伏轨迹:来自数据汇集项目MARBLES的发现
Justina Pociunaite1, Iris van Dijk2, Lyanne Reitsma2
1Department of Developmental Psychology, Ulm University, Ulm, Germany.
European journal of psychotraumatology
|November 27, 2023
概括
显著的少数悲伤的成年人经历了长期悲伤障碍 (PGD) 症状超过五年. 早期对PGD进行查至关重要,以防止长期的心理健康投诉.
科学领域:
- 精神病学是一个精神病学.
- 心理学 心理学 心理学
- 流行病学 流行病学
背景情况:
- 现在DSM-5-TR包括了长期悲伤障碍 (PGD) 的标准.
- 需要研究以了解基于这些新标准的悲伤轨迹.
- 这项研究是第一个使用DSM-5-TR标准检查PGD轨迹的研究.
研究的目的:
- 根据DSM-5-TR的PGD标准来检查潜在的悲伤轨迹.
- 识别预测PGD轨迹的风险因素,如死亡原因.
- 分析悲伤的成年人的症状水平和恢复模式.
主要方法:
- 利用了丹麦和荷兰成年丧亲的数据 (N=398).
- 应用潜增长混合模型 (LGMM) 用于识别损失后6-12个月,13-24个月和25-60个月的悲伤轨迹.
- 采用多项逻辑回归来评估风险因素对轨迹成员的影响.
主要成果:
- 一个四类解决方案最适合数据,揭示了轨迹:低PGD症状 (49%),高PGD缓慢恢复 (35%),高PGD快速恢复 (10%) 和高稳定的PGD (6%).
- 高等教育与低PGD症状轨迹有关.
- 非自然死亡原因预测了更高和更持久的PGD症状轨迹.
结论:
- 最常见的轨迹是较低的PGD症状,与之前的研究一致.
- 相当少数人经历持续或缓慢消失的PGD症状,直至损失后五年.
- 这些发现强调了早期PGD查的必要性,以减轻长期的心理痛苦.
关键词:
在DSM-5-TR中.长期的悲伤障碍 长期的悲伤障碍这是一个长期的斗争障碍.数据的聚合数据.数据的聚合数据的聚合.个人参与者的数据.个人参与者数据 个人参与者数据潜增长混合物建模潜增长混合物建模混合模式的潜伏增长.它们的轨迹和轨迹.这是一条道路的轨迹.个人参与者数据个人参与者数据延长哀伤障碍的时间.数据库中的数据库.潜在增长混合模型.轨道 轨道 轨道 轨道更多相关视频
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