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The Causal Model of Insight in Schizophrenia Based on the Positive and Negative Syndrome Scale Factors and the Structural Equation Modeling

Cited 12 time in Web of Science Cited 10 time in Scopus
Authors

Hwang, Samuel S. -H.; Chang, Jae Seung; Lee, Kyu Young; Ahn, Yong Min; Kim, Yong Sik

Issue Date
2009-02
Publisher
LIPPINCOTT WILLIAMS & WILKINS
Citation
JOURNAL OF NERVOUS AND MENTAL DISEASE; Vol.197(2); 79-84
Keywords
Schizophreniaactivation factorautistic preoccupation factorPANSS factorscausal model of insightstructural equation modeling
Abstract
We used structural equation modeling to formulate a causal model of insight in schizophrenia patients that explains the inconsistent results of the studies oil the relationship between insight and psychopathology. The Positive and Negative Syndrome Scale was used to assess 342 patients with acute stage schizophrenia and 5 factors were identified through factor analysis with which it causal model of insight was constructed. Our model, where positive, negative, and autistic preoccupation (cognitive) factors were the primary predictors of insight, with the activation factor mediating between positive and autistic preoccupation factors and insight, was found to show a perfect fit by most goodness-of-fit indices and to be superior to other alternative models. Specifically, positive, negative, and autistic preoccupation factors each had some predictive power for insight and the activation factor played a partial mediating role for the positive factor and a moderating role for the autistic preoccupation factor.
ISSN
0022-3018
Language
English
URI
https://hdl.handle.net/10371/78539
DOI
https://doi.org/10.1097/NMD.0b013e318196083e
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