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Details

Autor(en) / Beteiligte
Titel
Network structure of anticipatory pleasure and risk features: Evidence from a large college sample
Ist Teil von
  • PsyCh journal, 2020-04, Vol.9 (2), p.223-233
Ort / Verlag
Melbourne: John Wiley & Sons Australia, Ltd
Erscheinungsjahr
2020
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • Investigating 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 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.
Sprache
Englisch
Identifikatoren
ISSN: 2046-0252
eISSN: 2046-0260
DOI: 10.1002/pchj.331
Titel-ID: cdi_proquest_journals_2391983617

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