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dc.contributor.authorBjørnestad, Jone Ravndal
dc.contributor.authorTjora, Tore
dc.contributor.authorLangeveld, Johannes Hendrik
dc.contributor.authorStain, Helen J.
dc.contributor.authorJoa, Inge
dc.contributor.authorJohannessen, Jan Olav
dc.contributor.authorFriedman‐Yakoobian, Michelle
dc.contributor.authorHegelstad, Wenche ten Velden
dc.date.accessioned2021-08-11T13:10:18Z
dc.date.available2021-08-11T13:10:18Z
dc.date.created2021-05-18T12:45:11Z
dc.date.issued2021-05
dc.identifier.citationBjørnestad, J., Tjora, T., Langeveld, J.H. et al. (2021) Exploring specific predictors of psychosis onset over a 2-year period: A decision-tree model. Early Intervention in Psychiatry.en_US
dc.identifier.issn1751-7885
dc.identifier.urihttps://hdl.handle.net/11250/2767407
dc.description.abstractAim The fluctuating symptoms of clinical high risk for psychosis hamper conversion prediction models. Exploring specific symptoms using machine-learning has proven fruitful in accommodating this challenge. The aim of this study is to explore specific predictors and generate atheoretical hypotheses of onset using a close-monitoring, machine-learning approach. Methods Study participants, N = 96, mean age 16.55 years, male to female ratio 46:54%, were recruited from the Prevention of Psychosis Study in Rogaland, Norway. Participants were assessed using the Structured Interview for Psychosis Risk Syndromes (SIPS) at 13 separate assessment time points across 2 years, yielding 247 specific scores. A machine-learning decision-tree analysis (i) examined potential SIPS predictors of psychosis conversion and (ii) hierarchically ranked predictors of psychosis conversion. Results Four out of 247 specific SIPS symptom scores were significant: (i) reduced expression of emotion at baseline, (ii) experience of emotions and self at 5 months, (iii) perceptual abnormalities/hallucinations at 3 months and (iv) ideational richness at 6 months. No SIPS symptom scores obtained after 6 months of follow-up predicted psychosis. Conclusions Study findings suggest that early negative symptoms, particularly those observable by peers and arguably a risk factor for social exclusion, were predictive of psychosis. Self-expression and social behaviour might prove relevant entry points for early intervention in psychosis and psychosis risk. Testing study results in larger samples and at other sites is warranted.en_US
dc.language.isoengen_US
dc.publisherJohn Wiley & Sons Ltd.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectpsykiatrien_US
dc.subjectpsykoseen_US
dc.subjectpsychosisen_US
dc.titleExploring specific predictors of psychosis onset over a 2‐year period: A decision‐tree modelen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Authorsen_US
dc.subject.nsiVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Psykiatri, barnepsykiatri: 757en_US
dc.source.pagenumber8en_US
dc.source.journalEarly Intervention in Psychiatryen_US
dc.identifier.doi10.1111/eip.13175
dc.identifier.cristin1910491
dc.relation.projectHelse Vest RHF: 911881en_US
dc.relation.projectStiftelsen Dam: 913184en_US
dc.relation.projectHelse Vest RHF: 911508en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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