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T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS

BACKGROUND: A cognitive account identifies six key psychological maintenance factors for persecutory delusions. However, a complex system of causation is likely where these factors interact in their influence on paranoid ideas. We set out to evaluate the causal dynamics of paranoia with theory-drive...

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Autores principales: Bird, Jessica, Evans, Robin, Taylor, Kathryn M, Molodynski, Andrew, Waite, Felicity, Freeman, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234416/
http://dx.doi.org/10.1093/schbul/sbaa029.674
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author Bird, Jessica
Evans, Robin
Taylor, Kathryn M
Molodynski, Andrew
Waite, Felicity
Freeman, Daniel
author_facet Bird, Jessica
Evans, Robin
Taylor, Kathryn M
Molodynski, Andrew
Waite, Felicity
Freeman, Daniel
author_sort Bird, Jessica
collection PubMed
description BACKGROUND: A cognitive account identifies six key psychological maintenance factors for persecutory delusions. However, a complex system of causation is likely where these factors interact in their influence on paranoid ideas. We set out to evaluate the causal dynamics of paranoia with theory-driven network approaches. METHODS: 1809 patients with non-affective psychosis attending UK mental health services completed assessments of paranoia, hallucinations, insomnia, self-esteem, worry, anxious avoidance, analytic reasoning, and psychological well-being. To assess causal patterns, we estimated, first, an undirected partial correlation network and then, second, adopted a Bayesian approach with Directed Acyclic Graphs to discover the directed causal pathways best supported by the data. RESULTS: The networks showed that with all other variables controlled, paranoia had direct causal interactions with hallucinations, negative self-beliefs, insomnia, worry, and avoidance. Hallucinations and negative self-beliefs were most directly linked to paranoia, whereas indirect paths had prominent influences on the causal effects for insomnia, worry, and avoidance. The direction of these interactions was uncertain, but negative self-beliefs and insomnia were more likely to influence paranoia than vice versa. Self-report reasoning was likely unrelated to paranoia once other factors were controlled. Causal factors were highly interconnected, with insomnia, negative self-beliefs, avoidance, and worry most directly linked to other variables. Most interactions were likely reciprocal, except for hallucinations which were unlikely to influence other variables and significantly caused by insomnia and avoidance. DISCUSSION: The findings are consistent with a complex system of interacting causation in the maintenance of paranoia. The patterns observed support the cognitive model of persecutory delusions, highlighting multiple pathways of causal interaction between paranoia and theoretically important factors. Interventions directly targeting these factors are likely to lead to multiple benefits, alleviating paranoia both directly and indirectly through connections with other causally related symptoms.
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spelling pubmed-72344162020-05-23 T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS Bird, Jessica Evans, Robin Taylor, Kathryn M Molodynski, Andrew Waite, Felicity Freeman, Daniel Schizophr Bull Poster Session III BACKGROUND: A cognitive account identifies six key psychological maintenance factors for persecutory delusions. However, a complex system of causation is likely where these factors interact in their influence on paranoid ideas. We set out to evaluate the causal dynamics of paranoia with theory-driven network approaches. METHODS: 1809 patients with non-affective psychosis attending UK mental health services completed assessments of paranoia, hallucinations, insomnia, self-esteem, worry, anxious avoidance, analytic reasoning, and psychological well-being. To assess causal patterns, we estimated, first, an undirected partial correlation network and then, second, adopted a Bayesian approach with Directed Acyclic Graphs to discover the directed causal pathways best supported by the data. RESULTS: The networks showed that with all other variables controlled, paranoia had direct causal interactions with hallucinations, negative self-beliefs, insomnia, worry, and avoidance. Hallucinations and negative self-beliefs were most directly linked to paranoia, whereas indirect paths had prominent influences on the causal effects for insomnia, worry, and avoidance. The direction of these interactions was uncertain, but negative self-beliefs and insomnia were more likely to influence paranoia than vice versa. Self-report reasoning was likely unrelated to paranoia once other factors were controlled. Causal factors were highly interconnected, with insomnia, negative self-beliefs, avoidance, and worry most directly linked to other variables. Most interactions were likely reciprocal, except for hallucinations which were unlikely to influence other variables and significantly caused by insomnia and avoidance. DISCUSSION: The findings are consistent with a complex system of interacting causation in the maintenance of paranoia. The patterns observed support the cognitive model of persecutory delusions, highlighting multiple pathways of causal interaction between paranoia and theoretically important factors. Interventions directly targeting these factors are likely to lead to multiple benefits, alleviating paranoia both directly and indirectly through connections with other causally related symptoms. Oxford University Press 2020-05 2020-05-18 /pmc/articles/PMC7234416/ http://dx.doi.org/10.1093/schbul/sbaa029.674 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Session III
Bird, Jessica
Evans, Robin
Taylor, Kathryn M
Molodynski, Andrew
Waite, Felicity
Freeman, Daniel
T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS
title T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS
title_full T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS
title_fullStr T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS
title_full_unstemmed T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS
title_short T114. THE CAUSAL DYNAMICS OF PARANOIA IN PATIENTS WITH SCHIZOPHRENIA: A THEORY DRIVEN NETWORK ANALYSIS
title_sort t114. the causal dynamics of paranoia in patients with schizophrenia: a theory driven network analysis
topic Poster Session III
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234416/
http://dx.doi.org/10.1093/schbul/sbaa029.674
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