Prediction of psychopathology during the COVID-19 pandemic using linear and non-linear methodologies: Importance of COVID-19 threat perception, emotional competencies and resilience

IF 1.3 4区心理学 Q3 PSYCHOLOGY, APPLIED

European Review of Applied Psychology-Revue Europeenne De Psychologie Appliquee Pub Date : 2023-06-16 DOI:10.1016/j.erap.2023.100912

Iraida Delhom , Aruca Calderón-Cholbi , Laura Lacomba-Trejo

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引用次数: 0

Abstract

The presence of a mental or physical illness prior to the pandemic, the perceived threat from COVID-19, resilience or emotional intelligence may influence the onset or increase of psychopathology during the COVID-19 lockdown. The aim was to assess predictors of psychopathology by comparing two statistical methodologies (one linear and one non-linear).

Method

A total of 802 Spanish participants (65.50% female) completed the questionnaires independently after signing informed consent. Psychopathology, perceived threat, resilience and emotional intelligence were assessed. Descriptive statistics, hierarchical regression models (HRM) and fuzzy set qualitative comparative analysis (fsQCA) were conducted.

Results

The data obtained through the HRM showed that the presence of a previous mental illness, low resilience and emotional clarity, high emotional attention and repair, and COVID-19 threat perception predicted 51% of the variance in psychopathology. Results obtained from QCA showed that different combinations of these variables explained 37% of high levels of psychopathology and 86% of low levels of psychopathology, highlighting how the presence of prior mental illness, high emotional clarity, high resilience, low emotional attention and low perceived COVID-19 threat play a key role in explaining psychopathology.

Conclusions

These aspects will help promote personal resources to buffer psychopathology in lockdown situations.

查看原文本刊更多论文

使用线性和非线性方法预测 COVID-19 大流行期间的心理病理学：COVID-19 威胁感知、情绪能力和复原力的重要性

大流行之前是否患有精神或身体疾病、是否感受到 COVID-19 的威胁、复原力或情商可能会影响 COVID-19 封锁期间精神病理学的发生或增加。目的是通过比较两种统计方法（一种是线性统计方法，一种是非线性统计方法）来评估心理病理学的预测因素。方法共有 802 名西班牙参与者（65.50% 为女性）在签署知情同意书后独立完成了问卷调查。对心理病理学、感知威胁、复原力和情商进行了评估。结果通过分层回归模型（HRM）和模糊集定性比较分析（fsQCA）获得的数据显示，曾患精神疾病、低复原力和情绪清晰度、高情感关注和修复以及 COVID-19 威胁感知预测了 51% 的精神病理学变异。QCA得出的结果显示，这些变量的不同组合解释了37%的高水平心理病态和86%的低水平心理病态，这突出说明了先前患有精神疾病、情绪清晰度高、恢复力强、情绪注意力低和COVID-19威胁感知低是如何在解释心理病态中发挥关键作用的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Review of Applied Psychology-Revue Europeenne De Psychologie Appliquee PSYCHOLOGY, APPLIED-

CiteScore

2.20

自引率

20.00%

发文量

期刊介绍： The aim of the Revue européenne de Psychologie appliquée / European Review of Applied Psychology is to promote high-quality applications of psychology to all areas of specialization, and to foster exchange among researchers and professionals. Its policy is to attract a wide range of contributions, including empirical research, overviews of target issues, case studies, descriptions of instruments for research and diagnosis, and theoretical work related to applied psychology. In all cases, authors will refer to published and verificable facts, whether established in the study being reported or in earlier publications.