认知储备,抑郁症状,肥胖和就业状况的变化预测COVID-19后的心理处理速度和执行功能
Mar Ariza1,2, Javier Béjar3, Cristian Barrué4
1Grup de Recerca en Cervell, Cognició i Conducta, Consorci Sanitari de Terrassa (CST), Terrassa, Spain.
European archives of psychiatry and clinical neuroscience
|January 29, 2024
概括
后COVID-19状态 (PCC) 可以导致认知障碍. 较低的认知储备,抑郁症,肥胖和换工作增加了PCC患者精神处理速度和执行功能受损的风险.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 传染病流行病学 传染病流行病学
背景情况:
- 在COVID-19后出现的认知障碍 (PCC) 后,导致认知障碍的风险因素仍未得到充分定义.
- 了解这些因素对于识别COVID-19感染后神经心理缺陷风险较高的个体至关重要.
研究的目的:
- 确定与PCC患者神经心理障碍相关的社会人口统计,临床和生活方式特征.
- 开发PCC人口认知障碍的预测模型.
主要方法:
- 使用了426名PCC参与者的神经行为评估.
- 应用集群算法 (K-means,分割K-means,高斯混合模型) 基于心理处理速度和执行功能变量.
- 使用机器学习分类器 (使用LASSO/Ridge的逻辑回归,SVM,随机森林,梯度增强树) 来预测认知性能.
主要成果:
- 聚类分析始终根据认知表现确定了两个不同的群体.
- 使用LASSO规范化的后勤回归模型确定了四个关键预测因素:认知储备,抑郁症状,肥胖和工作情况的变化.
- 这个模型在认知表现的分类中实现了72%的准确性,73%的回忆率和0.72的AUC.
结论:
- 患有PCC的个体经历了较低的认知储备,抑郁症状,肥胖和就业状况的变化,他们面临着精神处理速度和执行功能受损的风险.
- 这些发现突出了特定的风险因素,这些风险因素可以为经历认知困难的PCC患者提供有针对性的干预和支持.
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