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中文论文题目: Applying network analysis to investigate the links between dimensional schizotypy and cognitive and affective empathy
英文论文题目: Applying network analysis to investigate the links between dimensional schizotypy and cognitive and affective empathy
论文题目英文:
作者: Wang, Yi
论文出处:
刊物名称: JOURNAL OF AFFECTIVE DISORDERS
年: 2021
卷: 277
期:
页: 313-321
联系作者: Chan, Raymond C. K.
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影响因子: 3.892
摘要:

Background: Although impairment in empathy has been reported in schizophrenia spectrum disorders, little is known about the relationship between empathy and schizotypal traits. This study examines this relationship by applying network analysis to a large sample collected at 18-months follow-up in a longitudinal dataset. Methods: One thousand four hundred and eighty-six college students were recruited and completed a set of selfreported questionnaires on empathy, schizotypy, depression, anxiety and stress. Networks were constructed by taking the subscale scores of these measures as nodes and partial correlations between each pair of nodes as edges. Network Comparison Tests were performed to investigate the differences between individuals with high and low schizotypy. Results: Cognitive and affective empathy were strongly connected with negative schizotypy in the network. Physical and social anhedonia showed high centrality measured by strength, closeness and betweenness while anxiety and stress showed high expected influence. Predictability ranged from 22.4% (personal distress) to 79.9% (anxiety) with an average of 54.4%. Compared with the low schizotypy group, the high schizotypy group showed higher global strength (S = 0.813, p < 0.05) and significant differences in network structure (M = 0.531, p < 0.001) and strength of edges connecting empathy with schizotypy (adjusted ps < 0.05). Limitations: Only self-rating scales were used, and disorganized schizotypy was not included. Conclusions: Our findings suggest that the cognitive and affective components of empathy and dimensions of schizotypy are closely related in the general population and their network interactions may play an important role in individuals with high schizotypy.

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