Validation of the Brief Negative Symptom Scale and its association with functioning
Introduction: The Brief Negative Symptom Scale (BNSS) includes five domains of negative symptoms suggested by the NIMH Consensus Development Conference (anhedonia, asociality, avolition, blunted affect, and alogia), which could be clustered into two factors — Motivation-Pleasure (MAP) and Emotional...
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sg-ntu-dr.10356-1444622023-03-05T16:43:12Z Validation of the Brief Negative Symptom Scale and its association with functioning Ang, Mei San Rekhi, Gurpreet Lee, Jimmy Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Schizophrenia BNSS Introduction: The Brief Negative Symptom Scale (BNSS) includes five domains of negative symptoms suggested by the NIMH Consensus Development Conference (anhedonia, asociality, avolition, blunted affect, and alogia), which could be clustered into two factors — Motivation-Pleasure (MAP) and Emotional Expressivity (EE). Our study aims to examine the psychometric properties of BNSS, and its association with functioning. Methods: 274 individuals with schizophrenia were assessed on the BNSS, Positive and Negative Syndrome Scale (PANSS), Scale for the Assessment of Negative Symptoms (SANS), Global Assessment of Functioning Scale (GAF), Calgary Depression Scale for Schizophrenia (CDSS), and Simpson-Angus Extrapyramidal Side Effects Scale (SAS). Internal consistency was examined using Cronbach's alpha. Concurrent, discriminant, and construct validity were examined. Factor structure of BNSS was explored using confirmatory factor analyses. Association between GAF and BNSS was examined with GAF as the dependent variable and BNSS Total, MAP and EE, and BNSS five domains as independent variables in three multiple regression models after controlling for covariates. Results:BNSS showed good internal consistency (Cronbach's alpha = 0.880) and validity. The five-factor model fit the data better than the two-factor model; a second-order model was superior to both models. More severe symptoms on BNSS Total (B = −0.438, p < .001), MAP (B = −0.876, p < .001), Avolition (B = −2.503, p < .001) and Asociality (B = −0.950, p = .001) were associated with lower GAF. Conclusion: Our results lend support to the use of BNSS in clinical practice and in future research into negative symptoms. Composite scores could be computed using either the five-factor or second-order models. Negative symptoms, particularly MAP, avolition and asociality, were associated with functioning. Ministry of Health (MOH) National Medical Research Council (NMRC) Accepted version This study is supported by the Singapore Ministry of Health's National Medical Research Council under the Centre Grant Programme (Grant No.: NMRC/CG/004/2013). 2020-11-06T03:55:30Z 2020-11-06T03:55:30Z 2019 Journal Article Ang, M. S., Rekhi, G., & Lee, J. (2019). Validation of the Brief Negative Symptom Scale and its association with functioning. Schizophrenia Research, 208, 97–104. doi:10.1016/j.schres.2019.04.005 1573-2509 https://hdl.handle.net/10356/144462 10.1016/j.schres.2019.04.005 30987926 208 97 104 en Schizophrenia research © 2019 Elsevier B.V. All rights reserved. This paper was published in Schizophrenia research and is made available with permission of Elsevier B.V. application/pdf |
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Science::Medicine Schizophrenia BNSS Ang, Mei San Rekhi, Gurpreet Lee, Jimmy Validation of the Brief Negative Symptom Scale and its association with functioning |
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Introduction: The Brief Negative Symptom Scale (BNSS) includes five domains of negative symptoms suggested by the NIMH Consensus Development Conference (anhedonia, asociality, avolition, blunted affect, and alogia), which could be clustered into two factors — Motivation-Pleasure (MAP) and Emotional Expressivity (EE). Our study aims to examine the psychometric properties of BNSS, and its association with functioning. Methods: 274 individuals with schizophrenia were assessed on the BNSS, Positive and Negative Syndrome Scale (PANSS), Scale for the Assessment of Negative Symptoms (SANS), Global Assessment of Functioning Scale (GAF), Calgary Depression Scale for Schizophrenia (CDSS), and Simpson-Angus Extrapyramidal Side Effects Scale (SAS). Internal consistency was examined using Cronbach's alpha. Concurrent, discriminant, and construct validity were examined. Factor structure of BNSS was explored using confirmatory factor analyses. Association between GAF and BNSS was examined with GAF as the dependent variable and BNSS Total, MAP and EE, and BNSS five domains as independent variables in three multiple regression models after controlling for covariates. Results:BNSS showed good internal consistency (Cronbach's alpha = 0.880) and validity. The five-factor model fit the data better than the two-factor model; a second-order model was superior to both models. More severe symptoms on BNSS Total (B = −0.438, p < .001), MAP (B = −0.876, p < .001), Avolition (B = −2.503, p < .001) and Asociality (B = −0.950, p = .001) were associated with lower GAF. Conclusion: Our results lend support to the use of BNSS in clinical practice and in future research into negative symptoms. Composite scores could be computed using either the five-factor or second-order models. Negative symptoms, particularly MAP, avolition and asociality, were associated with functioning. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Ang, Mei San Rekhi, Gurpreet Lee, Jimmy |
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Article |
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Ang, Mei San Rekhi, Gurpreet Lee, Jimmy |
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Ang, Mei San |
title |
Validation of the Brief Negative Symptom Scale and its association with functioning |
title_short |
Validation of the Brief Negative Symptom Scale and its association with functioning |
title_full |
Validation of the Brief Negative Symptom Scale and its association with functioning |
title_fullStr |
Validation of the Brief Negative Symptom Scale and its association with functioning |
title_full_unstemmed |
Validation of the Brief Negative Symptom Scale and its association with functioning |
title_sort |
validation of the brief negative symptom scale and its association with functioning |
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2020 |
url |
https://hdl.handle.net/10356/144462 |
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