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Article: Exploring the links between alexithymia, empathy and schizotypy in college students using network analysis

TitleExploring the links between alexithymia, empathy and schizotypy in college students using network analysis
Authors
Keywordsalexithymia
anhedonia
Empathy
network analysis
schizotypy
Issue Date2020
Citation
Cognitive Neuropsychiatry, 2020, v. 25, n. 4, p. 245-253 How to Cite?
AbstractIntroduction: Impaired empathy is one of the major dysfunctions commonly found in patients with schizophrenia, with alexithymia being one possible underlying factor. Schizotypy represents a set of psychotic-like manifestations, investigation of which may contribute to our understanding of psychosis while minimising the confounding effects of illness chronicity and medication exposure. Few studies have specifically examined the associations among alexithymia, empathy and schizotypy. Methods: We investigated the relationships among alexithymia, empathy and schizotypy in college students using network analysis. The Interpersonal Reactivity Index (IRI), Toronto Alexithymia Scale (TAS), and Chapman Psychosis-Proneness scales were captured, and network based on the subscales were estimated in 552 participants. Strength, closeness and betweenness of nodes were calculated to measure the centrality. Results: Network analyses revealed a pattern connecting alexithymia with empathy and schizotypy. Negative connections between empathy and physical/social anhedonia and positive edges linking alexithymia with empathy and social anhedonia were observed. Conclusions: Network constructed in the study demonstrated alexithymia’s role in empathic deficits. Our findings highlighted the connections between components of empathy, alexithymia and schizotypy.
Persistent Identifierhttp://hdl.handle.net/10722/367706
ISSN
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 0.680

 

DC FieldValueLanguage
dc.contributor.authorYang, Han xue-
dc.contributor.authorShi, Hai song-
dc.contributor.authorNi, Ke-
dc.contributor.authorWang, Yi-
dc.contributor.authorCheung, Eric F.C.-
dc.contributor.authorChan, Raymond C.K.-
dc.date.accessioned2025-12-19T07:58:47Z-
dc.date.available2025-12-19T07:58:47Z-
dc.date.issued2020-
dc.identifier.citationCognitive Neuropsychiatry, 2020, v. 25, n. 4, p. 245-253-
dc.identifier.issn1354-6805-
dc.identifier.urihttp://hdl.handle.net/10722/367706-
dc.description.abstractIntroduction: Impaired empathy is one of the major dysfunctions commonly found in patients with schizophrenia, with alexithymia being one possible underlying factor. Schizotypy represents a set of psychotic-like manifestations, investigation of which may contribute to our understanding of psychosis while minimising the confounding effects of illness chronicity and medication exposure. Few studies have specifically examined the associations among alexithymia, empathy and schizotypy. Methods: We investigated the relationships among alexithymia, empathy and schizotypy in college students using network analysis. The Interpersonal Reactivity Index (IRI), Toronto Alexithymia Scale (TAS), and Chapman Psychosis-Proneness scales were captured, and network based on the subscales were estimated in 552 participants. Strength, closeness and betweenness of nodes were calculated to measure the centrality. Results: Network analyses revealed a pattern connecting alexithymia with empathy and schizotypy. Negative connections between empathy and physical/social anhedonia and positive edges linking alexithymia with empathy and social anhedonia were observed. Conclusions: Network constructed in the study demonstrated alexithymia’s role in empathic deficits. Our findings highlighted the connections between components of empathy, alexithymia and schizotypy.-
dc.languageeng-
dc.relation.ispartofCognitive Neuropsychiatry-
dc.subjectalexithymia-
dc.subjectanhedonia-
dc.subjectEmpathy-
dc.subjectnetwork analysis-
dc.subjectschizotypy-
dc.titleExploring the links between alexithymia, empathy and schizotypy in college students using network analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/13546805.2020.1749039-
dc.identifier.pmid32249676-
dc.identifier.scopuseid_2-s2.0-85082977215-
dc.identifier.volume25-
dc.identifier.issue4-
dc.identifier.spage245-
dc.identifier.epage253-
dc.identifier.eissn1464-0619-

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