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

David Murphy, Frédérique Vallières, Jamie Murphy, Eoin McElroy and Philip Hyland

Psychosis, 2020, vol. 12, issue 4, 303-313

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.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/17522439.2020.1791238 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rpsyxx:v:12:y:2020:i:4:p:303-313

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPSY20

DOI: 10.1080/17522439.2020.1791238

Access Statistics for this article

Psychosis is currently edited by Dr John Read

More articles in Psychosis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().