Larionow Paweł
Faculty of Psychology, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland.
Eur J Investig Health Psychol Educ. 2025 Mar 18;15(3):38. doi: 10.3390/ejihpe15030038.
Is empathy a "double-edged sword"? This study aimed to contribute to a more nuanced understanding of the multidimensional empathy construct in the statistical prediction of negative and positive mental health outcomes. More specifically, this research intended to reveal , , and four individual empathy dimensions (i.e., cognitive empathy for negative emotions, cognitive empathy for positive emotions, affective empathy for negative emotions, and affective empathy for positive emotions) uniquely statistically predicted the levels of anxiety and depression symptoms, as well as well-being. A total of 786 Polish-speaking adults (452 females and 334 males) filled out a series of self-report questionnaires on empathy (the Perth Empathy Scale), anxiety, and depression symptoms, as well as well-being. Adjusting for demographic variables, the frequentist and Bayesian multiple regression analyses revealed that affective empathy dimensions (i.e., abilities to vicariously share others' emotions) significantly predicted psychopathology symptoms and well-being, whereas cognitive empathy dimensions (i.e., abilities to understand others' emotions) did not. In particular, higher affective empathy for negative emotions contributed to worse mental health outcomes, whereas higher affective empathy for positive emotions contributed to better mental outcomes. Overall, the results indicated that individual empathy dimensions demonstrated their specific dark and light sides in the statistical prediction of mental illness and well-being indicators, further supporting the clinical relevance of the multidimensional empathy construct.
共情是一把“双刃剑”吗?本研究旨在更细致入微地理解多维共情结构在负面和正面心理健康结果的统计预测中的作用。更具体地说,本研究旨在揭示 、 以及 四个个体共情维度(即对负面情绪的认知共情、对正面情绪的认知共情、对负面情绪的情感共情和对正面情绪的情感共情)在统计上独特地预测焦虑和抑郁症状水平以及幸福感。共有786名讲波兰语的成年人(452名女性和334名男性)填写了一系列关于共情(珀斯共情量表)、焦虑、抑郁症状以及幸福感的自我报告问卷。在对人口统计学变量进行调整后,频率主义和贝叶斯多元回归分析表明,情感共情维度(即替代性分享他人情绪的能力)显著预测了精神病理学症状和幸福感,而认知共情维度(即理解他人情绪的能力)则不然。特别是,对负面情绪的较高情感共情会导致更差的心理健康结果,而对正面情绪的较高情感共情会带来更好的心理结果。总体而言,结果表明个体共情维度在精神疾病和幸福感指标的统计预测中展现出了其特定的阴暗面和光明面,进一步支持了多维共情结构的临床相关性。