Journal article
A model of psychosis and its relationship with impairment
Social psychiatry and psychiatric epidemiology, Vol.48(9), pp.1367-1375
2013
DOI: 10.1007/s00127-012-0642-2
PMID: 23306423
Abstract
Purpose
Some studies suggest that positive symptoms of psychosis—clinical and sub-clinical alike—reflect a single, continuously distributed dimension in the population. It is unknown, however, whether such a spectrum of positive psychotic experiences is non-linearly related to outcomes such as daily functioning. This work aims to characterize the relationship between positive psychosis and impairment.
Methods
Data from the Office of National Statistics National Psychiatric Morbidity Surveys of Great Britain were used to establish measurement models of psychosis and impairment. Competing linear and nonlinear models of the relationship between the two latent variables were evaluated using mixture structural equation models.
Results
Positive psychosis is best modeled by a continuous, normal distribution. Increases in positive psychosis correlate with roughly linear increases in impairment.
Conclusions
Positive psychotic symptoms occur throughout the population without a discrete, pathological threshold. Functional deficits are linearly associated with the psychosis at all points along the continuum, and a significant portion of the population experiences subclinical psychosis.
Details
- Title: Subtitle
- A model of psychosis and its relationship with impairment
- Creators
- Katherine G JONAS - University of Iowa, E11 Seashore Hall, Iowa City, IA 52240, United StatesKristian E MARKON - University of Iowa, E11 Seashore Hall, Iowa City, IA 52240, United States
- Resource Type
- Journal article
- Publication Details
- Social psychiatry and psychiatric epidemiology, Vol.48(9), pp.1367-1375
- Publisher
- Springer
- DOI
- 10.1007/s00127-012-0642-2
- PMID
- 23306423
- ISSN
- 0933-7954
- eISSN
- 1433-9285
- Language
- English
- Date published
- 2013
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984083290002771
Metrics
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