Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149214
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dc.contributor.authorYang, Zixuen_US
dc.contributor.authorLee, Soon Hongen_US
dc.contributor.authorNur Amirah Abdul Rashiden_US
dc.contributor.authorSee, Yuen Meien_US
dc.contributor.authorDauwels, Justinen_US
dc.contributor.authorTan, Bhing Leeten_US
dc.contributor.authorLee, Jimmy Chee Keongen_US
dc.date.accessioned2021-05-18T07:55:34Z-
dc.date.available2021-05-18T07:55:34Z-
dc.date.issued2021-
dc.identifier.citationYang, Z., Lee, S. H., Nur Amirah Abdul Rashid, See, Y. M., Dauwels, J., Tan, B. L. & Lee, J. C. K. (2021). Predicting real-world functioning in schizophrenia : the relative contributions of neurocognition, functional capacity, and negative symptoms. Frontiers in Psychiatry, 12, 639536-. https://dx.doi.org/10.3389/fpsyt.2021.639536en_US
dc.identifier.issn1664-0640en_US
dc.identifier.urihttps://hdl.handle.net/10356/149214-
dc.description.abstractNeurocognition and functional capacity are commonly reported predictors of real-world functioning in schizophrenia. However, the additional impact of negative symptoms, specifically its subdomains, i.e., diminished expression (DE) and avolition-apathy (AA), on real-world functioning remains unclear. The current study assessed 58 individuals with schizophrenia. Neurocognition was assessed with the Brief Assessment of Cognition in Schizophrenia, functional capacity with the UCSD Performance-based Skills Assessment (UPSA-B), and negative symptoms with the Negative Symptom Assessment-16. Real-world functioning was assessed with the Multnomah Community Ability Scale (MCAS) with employment status as an additional objective outcome. Hierarchical regressions and sequential logistic regressions were used to examine the associations between the variables of interest. The results show that global negative symptoms contribute substantial additional variance in predicting MCAS and employment status above and beyond the variance accounted for by neurocognition and functional capacity. In addition, both AA and DE predict the MCAS after controlling for cognition and functional capacity. Only AA accounts for additional variance in employment status beyond that by UPSA-B. In summary, negative symptoms contribute substantial additional variance in predicting both real-world functioning and employment outcomes after accounting for neurocognition and functional capacity. Our findings emphasize both DE and AA as important treatment targets in functional recovery for people with schizophrenia.en_US
dc.description.sponsorshipMinistry of Health (MOH)en_US
dc.description.sponsorshipNational Medical Research Council (NMRC)en_US
dc.language.isoenen_US
dc.relationNMRC/CG/004/2013en_US
dc.relationM4081187.E30en_US
dc.relation.ispartofFrontiers in Psychiatryen_US
dc.rights© 2021 Yang, Lee, Abdul Rashid, See, Dauwels, Tan and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.subjectScience::Generalen_US
dc.subjectPsychiatryen_US
dc.titlePredicting real-world functioning in schizophrenia : the relative contributions of neurocognition, functional capacity, and negative symptomsen_US
dc.typeJournal Articleen
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.3389/fpsyt.2021.639536-
dc.description.versionPublished versionen_US
dc.identifier.pmid33815171-
dc.identifier.scopus2-s2.0-85103752682-
dc.identifier.volume12en_US
dc.identifier.spage639536en_US
dc.subject.keywordsSchizophreniaen_US
dc.subject.keywordsReal-world Functioningen_US
dc.description.acknowledgementThis study was supported by research grants from the Singapore Ministry of Health's National Medical Research Council Center Grant (Grant No. NMRC/CG/004/2013) and Nanyang Institute of Technology in Health and Medicine Seed Fund (Grant No. M4081187.E30).en_US
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