Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103544
Title: Refining the latent structure of neuropsychological performance in schizophrenia
Authors: Lam, M.
Collinson, S. L.
Eng, G. K.
Rapisarda, A.
Kraus, M.
Lee, J.
Chong, S. A.
Keefe, R. S. E.
Keywords: DRNTU::Science::Medicine
Issue Date: 2014
Source: Lam, M., Collinson, S. L., Eng, G. K., Rapisarda, A., Kraus, M., Lee, J., et al. (2014). Refining the latent structure of neuropsychological performance in schizophrenia. Psychological Medicine, 44(16), 3557-3570.
Series/Report no.: Psychological Medicine
Abstract: Background Elucidating the cognitive architecture of schizophrenia promises to advance understanding of the clinical and biological substrates of the illness. Traditional cross-sectional neuropsychological approaches differentiate impaired from normal cognitive abilities but are limited in their ability to determine latent substructure. The current study examined the latent architecture of abnormal cognition in schizophrenia via a systematic approach. Method Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were carried out on a large neuropsychological dataset including the Brief Assessment of Cognition in Schizophrenia, Continuous Performance Test, Wisconsin Card Sorting Test, Benton Judgment of Line Orientation Test, and Wechsler Abbreviated Scale of Intelligence matrix reasoning derived from 1012 English-speaking ethnic Chinese healthy controls and 707 schizophrenia cases recruited from in- and out-patient clinics. Results An initial six-factor model fit cognitive data in healthy and schizophrenia subjects. Further modeling, which accounted for methodological variance between tests, resulted in a three-factor model of executive functioning, vigilance/speed of processing and memory that appeared to best discriminate schizophrenia cases from controls. Factor analytic-derived g estimands and conventionally calculated g showed similar case–control discrimination. However, agreement analysis suggested systematic differences between both g indices. Conclusions Factor structures derived in the current study were broadly similar to those reported previously. However, factor structures between schizophrenia subjects and healthy controls were different. Roles of factor analytic-derived g estimands and conventional composite score g were further discussed. Cognitive structures underlying cognitive deficits in schizophrenia may prove useful for interrogating biological substrates and enriching effect sizes for subsequent work.
URI: https://hdl.handle.net/10356/103544
http://hdl.handle.net/10220/20006
ISSN: 0033-2917
DOI: http://dx.doi.org/10.1017/S0033291714001020
Rights: © 2014 Cambridge University Press. This paper was published in Psychological Medicine and is made available as an electronic reprint (preprint) with permission of Cambridge University Press. The paper can be found at the following official DOI:http://dx.doi.org/10.1017/S0033291714001020.  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Journal Articles

Files in This Item:
File Description SizeFormat 
S0033291714001020a.pdf218.19 kBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.