在COVID-19封锁期间的秘鲁样本中构建COVID-19周边时间痛苦指数 (CPDI) 的有效性及其与焦虑和抑郁的关系使用结构方程建模
Bruno Pedraz-Petrozzi1, Fabian Böttcher2, Martín Arevalo-Flores3
1Central Institute of Mental Health, Mannheim, Germany; Mental Health Working Group of the Peruvian University Cayetano Heredia, Lima, Peru.
Revista Colombiana de psiquiatria
|November 10, 2025
概括
这项研究适应了秘鲁的COVID-19周期性应急指数 (CPDI),发现反和压力是关键因素. 在COVID-19封锁期间的高反显著预测了抑郁和焦虑症状.
科学领域:
- 在流行病期间的心理困扰.
- 心理健康评估工具 心理健康评估工具
- COVID-19对幸福感的影响
背景情况:
- 由于COVID-19的流行,需要快速评估心理痛苦.
- "COVID-19 周围时间痛苦指数 (CPDI) "是衡量与流行病相关的痛苦的关键工具.
- 适应CPDI的秘鲁人口对于文化相关的心理健康研究至关重要.
研究的目的:
- 为适应COVID-19 Peritraumatic Distress Index (CPDI) 在秘鲁人口中使用.
- 开发一个结构方程模型 (SEM),使用CPDI因素和焦虑症状来解释COVID-19锁定期间的抑郁症.
- 调查CPDI因子对抑郁和焦虑的预测价值.
主要方法:
- 在大规模的秘鲁样本 (N=1435) 上进行了探索性和确认性因子分析.
- 结构方程建模 (SEM) 用于解释COVID-19封锁期间的抑郁症得分.
- 层次回归分析 (HRM) 评估了抑郁和焦虑中CPDI因素解释的差异.
主要成果:
- 在秘鲁的CPDI中,确定了两要素结构 (反和压力).
- 在封锁期间,SEM解释了显著的81%的抑郁症得分.
- 化解释了另外17%的抑郁变异和28%的焦虑变异.
结论:
- 经过调整的CPDI在秘鲁的背景下显示出强大的双因素结构.
- 人口统计因素 (女性,年龄较小,教育不完整),再加上与COVID相关的高压力和焦虑预测抑郁症.
- 在COVID-19封锁期间频繁的反与增加的恐惧和负面影响密切相关,突出其在心理痛苦中的作用.
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