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新冠疫情期间复杂性悲伤的预测因素:一项交叉分类分析

Predictors of Complicated Grief During the COVID-19 Pandemic: A Cross-Classified Analysis.

作者信息

Morstead Talia, Rights Jason D, Sin Nancy L, DeLongis Anita

机构信息

Department of Psychology, The University of British Columbia, Vancouver, BC, Canada.

出版信息

Omega (Westport). 2024 May 7:302228241239698. doi: 10.1177/00302228241239698.

Abstract

The COVID-19 pandemic left many people grieving multiple deaths and at risk for developing symptoms of complicated grief (CG). The present study is a prospective examination of the role of neuroticism and social support in the development of CG symptoms. Findings from cross-classified multilevel models pointed to neuroticism as a risk factor for subsequent CG symptoms. Social support had a stress-buffering effect, emerging as a protective factor following the loss of a first degree relative. More recent loss and younger age of the deceased were both independently associated with heightened CG symptoms. Results from the present study provide insight into heterogeneity in CG symptom development at the between-person level, and variability in CG symptoms within individuals in response to different deaths. Findings could therefore aid in the identification of those at risk for the development of CG symptoms.

摘要

新冠疫情致使许多人经历多重死亡之痛,并面临发展为复杂性悲伤(CG)症状的风险。本研究对神经质人格和社会支持在CG症状发展中的作用进行了前瞻性考察。交叉分类多层次模型的研究结果表明,神经质是后续出现CG症状的一个风险因素。社会支持具有压力缓冲作用,在一级亲属去世后成为一个保护因素。近期丧亲以及逝者年龄较小均与CG症状加剧独立相关。本研究结果为个体间CG症状发展的异质性以及个体对不同死亡事件反应中CG症状的变异性提供了见解。因此,研究结果有助于识别有发展为CG症状风险的人群。

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