Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97288
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dc.contributorDepartment of Rehabilitation Sciencesen_US
dc.creatorZhang, RTen_US
dc.creatorWang, Yen_US
dc.creatorYang, ZYen_US
dc.creatorLi, Yen_US
dc.creatorWang, YMen_US
dc.creatorCheung, EFCen_US
dc.creatorShum, DHKen_US
dc.creatorYang, TXen_US
dc.creatorBarkus, EJen_US
dc.creatorChan, RCKen_US
dc.date.accessioned2023-03-06T01:13:27Z-
dc.date.available2023-03-06T01:13:27Z-
dc.identifier.issn2046-0252en_US
dc.identifier.urihttp://hdl.handle.net/10397/97288-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.rights© 2019 The Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltden_US
dc.rightsThis is the peer reviewed version of the following article: Zhang, R. T., Wang, Y., Yang, Z. Y., Li, Y., Wang, Y. M., Cheung, E. F. C., ... & Chan, R. C. K. (2020). Network structure of anticipatory pleasure and risk features: Evidence from a large college sample. PsyCh Journal, 9(2), 223-233, which has been published in final form at https://doi.org/10.1002/pchj.331. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.en_US
dc.subjectAnticipatory pleasureen_US
dc.subjectMental healthen_US
dc.subjectNetwork analysisen_US
dc.subjectRisk featuresen_US
dc.titleNetwork structure of anticipatory pleasure and risk features : evidence from a large college sampleen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage223en_US
dc.identifier.epage233en_US
dc.identifier.volume9en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1002/pchj.331en_US
dcterms.abstractInvestigating the relationship between anticipatory pleasure deficits and risk features of mental disorders not only theoretically benefits the understanding of anhedonia, but could also facilitate early detection and intervention of mental disorders. Using network analysis, the present study examined the pattern of relationship between anticipatory pleasure and risk features of schizophrenia spectrum, depressive, anxiety, autism spectrum, and obsessive–compulsive disorders in a large sample of college students (n = 2152). It was found that interpersonal features of schizotypal personality traits and poor social skills of autistic traits showed strong correlation with low social anticipatory pleasure. Depressive symptoms severity was weakly associated with reduced abstract anticipatory pleasure, while obsessive–compulsive traits were weakly associated with high contextual anticipatory pleasure. No significant correlation was found between anxiety symptoms severity and anticipatory pleasure. Social anticipatory pleasure had the highest strength centrality among all anticipatory pleasure components, while interpersonal features of schizotypal personality traits had the highest strength centrality in the whole network. Our findings suggest that impaired anticipatory pleasure, especially social anticipatory pleasure, is a particular feature of schizotypal personality traits and autistic traits. Our findings may have implications for intervention in that the social component may be a target to improve anhedonia in individuals with schizotypal and autistic traits, while interpersonal features may be a key treatment target given that it was central to the relationship between anticipatory pleasure and risk features.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPsych journal, Apr. 2020, v. 9, no. 2, p. 223-233en_US
dcterms.isPartOfPsych journalen_US
dcterms.issued2020-04-
dc.identifier.scopus2-s2.0-85076752520-
dc.identifier.pmid31845536-
dc.identifier.eissn2046-0260en_US
dc.description.validate202303 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRS-0127-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Programme; National Science Fund China; Beijing Municipal Science & Technology Commission Grant; CAS Key Laboratory of Mental Healthen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS23459565-
dc.description.oaCategoryGreen (AAM)en_US
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