The University of Southampton
University of Southampton Institutional Repository

Intolerance of uncertainty predicts paranoia over time: evidence from a UK sample

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.
0005-7916
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
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).

Record type: Article

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
Available under License Creative Commons Attribution.
Download (323kB)

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
ORCID for Jayne Morriss: ORCID iD orcid.org/0000-0002-7928-9673
ORCID for Lyn Ellett: ORCID iD orcid.org/0000-0002-6051-3604

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 ORCID iD
Author: Lyn Ellett ORCID iD
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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×