Centrality statistics of symptom networks of schizophrenia: a systematic review

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dc.citation.issue6
dc.citation.volume54
dc.contributor.authorBuchwald K
dc.contributor.authorNarayanan A
dc.contributor.authorSiegert RJ
dc.contributor.authorVignes M
dc.contributor.authorArrowsmith K
dc.contributor.authorSandham M
dc.coverage.spatialEngland
dc.date.accessioned2024-10-08T21:59:59Z
dc.date.available2024-10-08T21:59:59Z
dc.date.issued2024-01-04
dc.description.abstractThe network theory of psychological disorders posits that systems of symptoms cause, or are associated with, the expression of other symptoms. Substantial literature on symptom networks has been published to date, although no systematic review has been conducted exclusively on symptom networks of schizophrenia, schizoaffective disorder, and schizophreniform (people diagnosed with schizophrenia; PDS). This study aims to compare statistics of the symptom network publications on PDS in the last 21 years and identify congruences and discrepancies in the literature. More specifically, we will focus on centrality statistics. Thirty-two studies met the inclusion criteria. The results suggest that cognition, and social, and occupational functioning are central to the network of symptoms. Positive symptoms, particularly delusions were central among participants in many studies that did not include cognitive assessment. Nodes representing cognition were most central in those studies that did. Nodes representing negative symptoms were not as central as items measuring positive symptoms. Some studies that included measures of mood and affect found items or subscales measuring depression were central nodes in the networks. Cognition, and social, and occupational functioning appear to be core symptoms of schizophrenia as they are more central in the networks, compared to variables assessing positive symptoms. This seems consistent despite heterogeneity in the design of the studies.
dc.description.confidentialfalse
dc.edition.editionJanuary 2024
dc.format.pagination1061-1073
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/38174555
dc.identifier.citationBuchwald K, Narayanan A, Siegert RJ, Vignes M, Arrowsmith K, Sandham M. (2024). Centrality statistics of symptom networks of schizophrenia: a systematic review.. Psychol Med. 54. 6. (pp. 1061-1073).
dc.identifier.doi10.1017/S003329172300363X
dc.identifier.eissn1469-8978
dc.identifier.elements-typejournal-article
dc.identifier.issn0033-2917
dc.identifier.piiS003329172300363X
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71636
dc.languageeng
dc.publisherCambridge University Press
dc.publisher.urihttps://www.cambridge.org/core/journals/psychological-medicine/article/centrality-statistics-of-symptom-networks-of-schizophrenia-a-systematic-review/1C7EC213132D56020FD303BCBC31CE16#article
dc.relation.isPartOfPsychol Med
dc.rights(c) The author/sen
dc.rights.licenseCC BY 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectcentrality statistics
dc.subjectcognition
dc.subjectfunctioning
dc.subjectnetwork analysis
dc.subjectnetwork theory
dc.subjectpsychopathology network
dc.subjectschizoaffective
dc.subjectschizophrenia
dc.subjectschizophreniform
dc.subjectsymptom networks
dc.subjectHumans
dc.subjectSchizophrenia
dc.subjectPsychotic Disorders
dc.subjectSchizophrenic Psychology
dc.titleCentrality statistics of symptom networks of schizophrenia: a systematic review
dc.typeJournal article
pubs.elements-id485552
pubs.organisational-groupOther
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