Intolerance of uncertainty predicts paranoia over time: evidence from a UK sample
Intolerance of uncertainty predicts paranoia over time: evidence from a UK sample
Paranoia, often associated with schizophrenia spectrum disorders, also exists on a continuum with ordinary mistrust and is prevalent in non-clinical populations. Recent research suggests that Intolerance of Uncertainty (IU), a dispositional trait reflecting a negative response to uncertainty, may play a significant role in predicting paranoia. This study aimed to examine the longitudinal relationship between IU and paranoia, using data from the Covid-19 Psychological Research Consortium Study (C19PRC). 2025 participants representative of the UK population were recruited and assessed across three waves over nine months. Path analysis revealed that IU consistently predicted paranoia over time, even after controlling for negative affective traits such as neuroticism, and common co-occurring symptoms such as anxiety, and depression. Partial correlation analyses revealed stronger relationships between paranoia and Inhibitory IU than Prospective IU. These findings suggest that IU is a stable and independent predictor of paranoia. This study extends previous cross-sectional research by providing longitudinal evidence of associations between IU and paranoia and suggests that IU may represent a promising target for future research on intervention strategies.
Lei, Yingyixue
9f04073a-16bf-4ce6-bfed-c1ef8910f378
Martinez, Anton
e50f46fc-bf26-4f06-89f2-fc246d09bd2f
Huddy, Vyv
f8299c8d-f9d2-469d-a1b4-774c8175e117
Morriss, Jayne
a6005806-07cf-4283-8766-900003a7306f
Ellett, Lyn
96482ea6-04b6-4a50-a7ec-ae0a3abc20ca
Bentall, Richard
097112f7-3332-42d5-b57d-c6630c5be4d2
8 August 2025
Lei, Yingyixue
9f04073a-16bf-4ce6-bfed-c1ef8910f378
Martinez, Anton
e50f46fc-bf26-4f06-89f2-fc246d09bd2f
Huddy, Vyv
f8299c8d-f9d2-469d-a1b4-774c8175e117
Morriss, Jayne
a6005806-07cf-4283-8766-900003a7306f
Ellett, Lyn
96482ea6-04b6-4a50-a7ec-ae0a3abc20ca
Bentall, Richard
097112f7-3332-42d5-b57d-c6630c5be4d2
Lei, Yingyixue, Martinez, Anton, Huddy, Vyv, Morriss, Jayne, Ellett, Lyn and Bentall, Richard
(2025)
Intolerance of uncertainty predicts paranoia over time: evidence from a UK sample.
Journal of Behavior Therapy and Experimental Psychiatry, 89, [102050].
(doi:10.1016/j.jbtep.2025.102050).
Abstract
Paranoia, often associated with schizophrenia spectrum disorders, also exists on a continuum with ordinary mistrust and is prevalent in non-clinical populations. Recent research suggests that Intolerance of Uncertainty (IU), a dispositional trait reflecting a negative response to uncertainty, may play a significant role in predicting paranoia. This study aimed to examine the longitudinal relationship between IU and paranoia, using data from the Covid-19 Psychological Research Consortium Study (C19PRC). 2025 participants representative of the UK population were recruited and assessed across three waves over nine months. Path analysis revealed that IU consistently predicted paranoia over time, even after controlling for negative affective traits such as neuroticism, and common co-occurring symptoms such as anxiety, and depression. Partial correlation analyses revealed stronger relationships between paranoia and Inhibitory IU than Prospective IU. These findings suggest that IU is a stable and independent predictor of paranoia. This study extends previous cross-sectional research by providing longitudinal evidence of associations between IU and paranoia and suggests that IU may represent a promising target for future research on intervention strategies.
Text
Intolerance of Uncertainty predicts paranoia_accepted
More information
Accepted/In Press date: 15 July 2025
e-pub ahead of print date: 24 July 2025
Published date: 8 August 2025
Identifiers
Local EPrints ID: 504519
URI: http://eprints.soton.ac.uk/id/eprint/504519
ISSN: 0005-7916
PURE UUID: 23b434fb-6224-4509-81d4-5f65cbbc24c2
Catalogue record
Date deposited: 10 Sep 2025 16:04
Last modified: 11 Sep 2025 03:30
Export record
Altmetrics
Contributors
Author:
Yingyixue Lei
Author:
Anton Martinez
Author:
Vyv Huddy
Author:
Jayne Morriss
Author:
Richard Bentall
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics