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Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms

BACKGROUND: Adolescence can be a challenging time, characterized by self-consciousness, heightened regard for peer acceptance, and fear of rejection. Interpersonal concerns are amplified by unpredictable social interactions, both online and offline. This developmental and social context is potential...

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Autores principales: Bird, Jessica C, Evans, Robin, Waite, Felicity, Loe, Bao S, Freeman, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737468/
https://www.ncbi.nlm.nih.gov/pubmed/30534970
http://dx.doi.org/10.1093/schbul/sby180
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author Bird, Jessica C
Evans, Robin
Waite, Felicity
Loe, Bao S
Freeman, Daniel
author_facet Bird, Jessica C
Evans, Robin
Waite, Felicity
Loe, Bao S
Freeman, Daniel
author_sort Bird, Jessica C
collection PubMed
description BACKGROUND: Adolescence can be a challenging time, characterized by self-consciousness, heightened regard for peer acceptance, and fear of rejection. Interpersonal concerns are amplified by unpredictable social interactions, both online and offline. This developmental and social context is potentially conducive to the emergence of paranoia. However, research on paranoia during adolescence is scarce. METHOD: Our aim was to examine the prevalence, structure, and probabilistic causal mechanisms of adolescent paranoia. A representative school cohort of 801 adolescents (11–15 y) completed measures of paranoia and a range of affective, cognitive, and social factors. A Bayesian approach with Directed Acyclic Graphs (DAGs) was used to assess the causal interactions with paranoia. RESULTS: Paranoid thoughts were very common, followed a continuous distribution, and were hierarchically structured. There was an overall paranoia factor, with sub-factors of social fears, physical threat fears, and conspiracy concerns. With all other variables controlled, DAG analysis identified paranoia had dependent relationships with negative affect, peer difficulties, bullying, and cognitive-affective responses to social media. The causal directions could not be fully determined, but it was more likely that negative affect contributed to paranoia and paranoia impacted peer relationships. Problematic social media use did not causally influence paranoia. CONCLUSIONS: There is a continuum of paranoia in adolescence and occasional suspicions are common at this age. Anxiety and depression are closely connected with paranoia and may causally contribute to its development. Paranoia may negatively impact adolescent peer relationships. The clinical significance of paranoia in adolescents accessing mental health services must now be established.
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spelling pubmed-67374682019-09-16 Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms Bird, Jessica C Evans, Robin Waite, Felicity Loe, Bao S Freeman, Daniel Schizophr Bull Regular Articles BACKGROUND: Adolescence can be a challenging time, characterized by self-consciousness, heightened regard for peer acceptance, and fear of rejection. Interpersonal concerns are amplified by unpredictable social interactions, both online and offline. This developmental and social context is potentially conducive to the emergence of paranoia. However, research on paranoia during adolescence is scarce. METHOD: Our aim was to examine the prevalence, structure, and probabilistic causal mechanisms of adolescent paranoia. A representative school cohort of 801 adolescents (11–15 y) completed measures of paranoia and a range of affective, cognitive, and social factors. A Bayesian approach with Directed Acyclic Graphs (DAGs) was used to assess the causal interactions with paranoia. RESULTS: Paranoid thoughts were very common, followed a continuous distribution, and were hierarchically structured. There was an overall paranoia factor, with sub-factors of social fears, physical threat fears, and conspiracy concerns. With all other variables controlled, DAG analysis identified paranoia had dependent relationships with negative affect, peer difficulties, bullying, and cognitive-affective responses to social media. The causal directions could not be fully determined, but it was more likely that negative affect contributed to paranoia and paranoia impacted peer relationships. Problematic social media use did not causally influence paranoia. CONCLUSIONS: There is a continuum of paranoia in adolescence and occasional suspicions are common at this age. Anxiety and depression are closely connected with paranoia and may causally contribute to its development. Paranoia may negatively impact adolescent peer relationships. The clinical significance of paranoia in adolescents accessing mental health services must now be established. Oxford University Press 2019-09 2018-12-10 /pmc/articles/PMC6737468/ /pubmed/30534970 http://dx.doi.org/10.1093/schbul/sby180 Text en © The Author(s) 2018. 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 Regular Articles
Bird, Jessica C
Evans, Robin
Waite, Felicity
Loe, Bao S
Freeman, Daniel
Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms
title Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms
title_full Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms
title_fullStr Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms
title_full_unstemmed Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms
title_short Adolescent Paranoia: Prevalence, Structure, and Causal Mechanisms
title_sort adolescent paranoia: prevalence, structure, and causal mechanisms
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737468/
https://www.ncbi.nlm.nih.gov/pubmed/30534970
http://dx.doi.org/10.1093/schbul/sby180
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