Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition
Introduction: Predictors of functioning are well-studied in schizophrenia, but much less so in treatment-resistant schizophrenia (TRS). In this study, we aim to investigate contributions of schizophrenia symptom domains and neurocognition to predict functioning in a TRS population (n = 146). Methods...
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sg-ntu-dr.10356-1817732024-12-22T15:39:52Z Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition Li, Yanhui Ang, Mei San Yee, Jie Yin See, Yuen Mei Lee, Jimmy Lee Kong Chian School of Medicine (LKCMedicine) Institute of Mental Health, Singapore Medicine, Health and Life Sciences Treatment-resistant schizophrenia Social anhedonia Introduction: Predictors of functioning are well-studied in schizophrenia, but much less so in treatment-resistant schizophrenia (TRS). In this study, we aim to investigate contributions of schizophrenia symptom domains and neurocognition to predict functioning in a TRS population (n = 146). Methods: Participants were assessed on the Positive and Negative Syndrome Scale (PANSS), to calculate scores for five symptom factors (Positive, Negative, Cognitive, Depressive and Hostility) and two negative symptom constructs (Diminished Expressivity (DE), and Social Anhedonia (SA) as part of the Motivation and Pleasure-related dimension), based on a previously validated model, modified in accordance with EPA guidelines on negative symptoms assessment. Neurocognition was assessed with symbol coding and digit sequencing tasks from the Brief Assessment of Cognition in Schizophrenia (BACS). Functioning was assessed with the Social and Occupational Functioning Assessment Scale (SOFAS), employment status and World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). Multiple regression analyses were performed on psychopathology scores and BACS scores against all three measures of functioning, controlling for age and sex. For WHODAS, regression with PANSS scores of significant symptom factors were also performed. Results: A lower severity of negative symptoms in the SA dimension was the strongest predictor of higher functioning across all three functioning measures. Neurocognition, in particular processing speed and attention assessed on the symbol coding task, predicted employment. A lower severity of somatic concerns and depressive symptoms was associated with lesser self-reported disability on WHODAS. Discussion: This study represents a first attempt at elucidating significant predictors of functioning in TRS. We highlight negative symptoms and neurocognition as important treatment targets to improve functioning in TRS, consistent with previous studies in general schizophrenia. Ministry of Health (MOH) National Medical Research Council (NMRC) Published version The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Singapore National Healthcare Group, Clinician Scientist Career Scheme (Grant No: NHG-CSCS/15007). JL is supported by the Ministry of Health National Medical Research Council Clinician Scientist Award (NMRC/CSAINV17nov005). The funders had no role in the study design, data collection, data analysis, decision to publish or preparation of the manuscript. 2024-12-17T04:25:15Z 2024-12-17T04:25:15Z 2024 Journal Article Li, Y., Ang, M. S., Yee, J. Y., See, Y. M. & Lee, J. (2024). Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition. Frontiers in Psychiatry, 15, 1444843-. https://dx.doi.org/10.3389/fpsyt.2024.1444843 1664-0640 https://hdl.handle.net/10356/181773 10.3389/fpsyt.2024.1444843 39301219 2-s2.0-85204601472 15 1444843 en NHG-CSCS/15007 NMRC/CSAINV17nov005 Frontiers in Psychiatry © 2024 Li, Ang, Yee, See 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. application/pdf |
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Medicine, Health and Life Sciences Treatment-resistant schizophrenia Social anhedonia Li, Yanhui Ang, Mei San Yee, Jie Yin See, Yuen Mei Lee, Jimmy Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition |
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Introduction: Predictors of functioning are well-studied in schizophrenia, but much less so in treatment-resistant schizophrenia (TRS). In this study, we aim to investigate contributions of schizophrenia symptom domains and neurocognition to predict functioning in a TRS population (n = 146). Methods: Participants were assessed on the Positive and Negative Syndrome Scale (PANSS), to calculate scores for five symptom factors (Positive, Negative, Cognitive, Depressive and Hostility) and two negative symptom constructs (Diminished Expressivity (DE), and Social Anhedonia (SA) as part of the Motivation and Pleasure-related dimension), based on a previously validated model, modified in accordance with EPA guidelines on negative symptoms assessment. Neurocognition was assessed with symbol coding and digit sequencing tasks from the Brief Assessment of Cognition in Schizophrenia (BACS). Functioning was assessed with the Social and Occupational Functioning Assessment Scale (SOFAS), employment status and World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). Multiple regression analyses were performed on psychopathology scores and BACS scores against all three measures of functioning, controlling for age and sex. For WHODAS, regression with PANSS scores of significant symptom factors were also performed. Results: A lower severity of negative symptoms in the SA dimension was the strongest predictor of higher functioning across all three functioning measures. Neurocognition, in particular processing speed and attention assessed on the symbol coding task, predicted employment. A lower severity of somatic concerns and depressive symptoms was associated with lesser self-reported disability on WHODAS. Discussion: This study represents a first attempt at elucidating significant predictors of functioning in TRS. We highlight negative symptoms and neurocognition as important treatment targets to improve functioning in TRS, consistent with previous studies in general schizophrenia. |
author2 |
Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Li, Yanhui Ang, Mei San Yee, Jie Yin See, Yuen Mei Lee, Jimmy |
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Article |
author |
Li, Yanhui Ang, Mei San Yee, Jie Yin See, Yuen Mei Lee, Jimmy |
author_sort |
Li, Yanhui |
title |
Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition |
title_short |
Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition |
title_full |
Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition |
title_fullStr |
Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition |
title_full_unstemmed |
Predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition |
title_sort |
predictors of functioning in treatment-resistant schizophrenia: the role of negative symptoms and neurocognition |
publishDate |
2024 |
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https://hdl.handle.net/10356/181773 |
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1820027779860660224 |