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    Risk factors associated with general and specific dimensions of psychosis in a nationally representative sample of adults from the United States


    Murphy, David and Vallières, Frédérique and Murphy, Jamie and McElroy, Eoin and Hyland, Philip (2020) Risk factors associated with general and specific dimensions of psychosis in a nationally representative sample of adults from the United States. Psychosis, 12 (4). pp. 303-313. ISSN 1752-2439

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    Abstract

    General and specific dimensions of psychosis have been identified in both clinical and general population samples. Demographic and clinical correlates, however, have only been explored within models derived from clinical data. Data were drawn from Wave 3 of the National Epidemiological Survey on Alcohol and Related Conditions (N = 36,309). Confirmatory factor analysis and confirmatory bifactor modelling were used to determine the optimal measurement model of psychosis symptoms among this sample. Structural equation modelling was used to identify variables correlated with the different psychosis dimensions, as per the best fitting measurement model. Measurement modelling results indicated that the latent structure of psychosis was best represented by a bifactor model including a general dimension orthogonal to four specific dimensions representing “Positive”, “Negative”, “Mania”, and “Disorganized” symptoms. Childhood interpersonal trauma, lack of social support, lower socio-economic status and suicidal attempts were associated with higher scores on the general dimension. These results provide further support for the validity of a bifactor model of psychosis in the general population and identify unique risk correlates of specific and general factors of psychosis

    Item Type: Article
    Additional Information: Cite as: David Murphy, Frédérique Vallières, Jamie Murphy, Eoin McElroy & Philip Hyland (2020) Risk factors associated with general and specific dimensions of psychosis in a nationally representative sample of adults from the United States, Psychosis, 12:4, 303-313, DOI: 10.1080/17522439.2020.1791238 Copyright: Embargo 12 Months
    Keywords: Psychosis; bifactor modelling; general symptom dimension; specific symptom dimension
    Academic Unit: Assisting Living & Learning,ALL institute
    Faculty of Science and Engineering > Psychology
    Item ID: 16519
    Identification Number: https://doi.org/10.1080/17522439.2020.1791238
    Depositing User: Philip Hyland
    Date Deposited: 15 Sep 2022 09:02
    Journal or Publication Title: Psychosis
    Publisher: Taylor & Francis online
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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