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- Publisher Website: 10.1017/S0033291719002113
- Scopus: eid_2-s2.0-85071853699
- PMID: 31451127
- WOS: WOS:000573873900008
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Article: Inter-relationships among psychopathology, premorbid adjustment, cognition and psychosocial functioning in first-episode psychosis: A network analysis approach
Title | Inter-relationships among psychopathology, premorbid adjustment, cognition and psychosocial functioning in first-episode psychosis: A network analysis approach |
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Authors | |
Keywords | avolition negative symptoms network analysis psychotic disorders real-world functioning Amotivation |
Issue Date | 2020 |
Citation | Psychological Medicine, 2020, v. 50 n. 12, p. 2019-2027 How to Cite? |
Abstract | Copyright © Cambridge University Press 2019. BackgroundBetter understanding of interplay among symptoms, cognition and functioning in first-episode psychosis (FEP) is crucial to promoting functional recovery. Network analysis is a promising data-driven approach to elucidating complex interactions among psychopathological variables in psychosis, but has not been applied in FEP.MethodThis study employed network analysis to examine inter-relationships among a wide array of variables encompassing psychopathology, premorbid and onset characteristics, cognition, subjective quality-of-life and psychosocial functioning in 323 adult FEP patients in Hong Kong. Graphical Least Absolute Shrinkage and Selection Operator (LASSO) combined with extended Bayesian information criterion (BIC) model selection was used for network construction. Importance of individual nodes in a generated network was quantified by centrality analyses.ResultsOur results showed that amotivation played the most central role and had the strongest associations with other variables in the network, as indexed by node strength. Amotivation and diminished expression displayed differential relationships with other nodes, supporting the validity of two-factor negative symptom structure. Psychosocial functioning was most strongly connected with amotivation and was weakly linked to several other variables. Within cognitive domain, digit span demonstrated the highest centrality and was connected with most of the other cognitive variables. Exploratory analysis revealed no significant gender differences in network structure and global strength.ConclusionOur results suggest the pivotal role of amotivation in psychopathology network of FEP and indicate its critical association with psychosocial functioning. Further research is required to verify the clinical significance of diminished motivation on functional outcome in the early course of psychotic illness. |
Persistent Identifier | http://hdl.handle.net/10722/279365 |
ISSN | 2023 Impact Factor: 5.9 2023 SCImago Journal Rankings: 2.768 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chang, W. C. | - |
dc.contributor.author | Wong, C. S.M. | - |
dc.contributor.author | Or, P. C.F. | - |
dc.contributor.author | Chu, A. O.K. | - |
dc.contributor.author | Hui, C. L.M. | - |
dc.contributor.author | Chan, S. K.W. | - |
dc.contributor.author | Lee, E. M.H. | - |
dc.contributor.author | Suen, Y. N. | - |
dc.contributor.author | Chen, E. Y.H. | - |
dc.date.accessioned | 2019-10-28T03:02:28Z | - |
dc.date.available | 2019-10-28T03:02:28Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Psychological Medicine, 2020, v. 50 n. 12, p. 2019-2027 | - |
dc.identifier.issn | 0033-2917 | - |
dc.identifier.uri | http://hdl.handle.net/10722/279365 | - |
dc.description.abstract | Copyright © Cambridge University Press 2019. BackgroundBetter understanding of interplay among symptoms, cognition and functioning in first-episode psychosis (FEP) is crucial to promoting functional recovery. Network analysis is a promising data-driven approach to elucidating complex interactions among psychopathological variables in psychosis, but has not been applied in FEP.MethodThis study employed network analysis to examine inter-relationships among a wide array of variables encompassing psychopathology, premorbid and onset characteristics, cognition, subjective quality-of-life and psychosocial functioning in 323 adult FEP patients in Hong Kong. Graphical Least Absolute Shrinkage and Selection Operator (LASSO) combined with extended Bayesian information criterion (BIC) model selection was used for network construction. Importance of individual nodes in a generated network was quantified by centrality analyses.ResultsOur results showed that amotivation played the most central role and had the strongest associations with other variables in the network, as indexed by node strength. Amotivation and diminished expression displayed differential relationships with other nodes, supporting the validity of two-factor negative symptom structure. Psychosocial functioning was most strongly connected with amotivation and was weakly linked to several other variables. Within cognitive domain, digit span demonstrated the highest centrality and was connected with most of the other cognitive variables. Exploratory analysis revealed no significant gender differences in network structure and global strength.ConclusionOur results suggest the pivotal role of amotivation in psychopathology network of FEP and indicate its critical association with psychosocial functioning. Further research is required to verify the clinical significance of diminished motivation on functional outcome in the early course of psychotic illness. | - |
dc.language | eng | - |
dc.relation.ispartof | Psychological Medicine | - |
dc.subject | avolition | - |
dc.subject | negative symptoms | - |
dc.subject | network analysis | - |
dc.subject | psychotic disorders | - |
dc.subject | real-world functioning | - |
dc.subject | Amotivation | - |
dc.title | Inter-relationships among psychopathology, premorbid adjustment, cognition and psychosocial functioning in first-episode psychosis: A network analysis approach | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1017/S0033291719002113 | - |
dc.identifier.pmid | 31451127 | - |
dc.identifier.scopus | eid_2-s2.0-85071853699 | - |
dc.identifier.hkuros | 309148 | - |
dc.identifier.volume | 50 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 2019 | - |
dc.identifier.epage | 2027 | - |
dc.identifier.eissn | 1469-8978 | - |
dc.identifier.isi | WOS:000573873900008 | - |
dc.identifier.issnl | 0033-2917 | - |