The uncertain self: Intolerance of uncertainty moderates the association of both positive and disorganized schizotypal traits with self-concept clarity in a non-clinical sample

Our objective was to investigate the relationship between self-concept clarity, intolerance of uncertainty, and schizotypal traits, with a focus on whether intolerance of uncertainty moderates the association between self-concept clarity and positive schizotypy in a non-clinical context. A sample of 315 adults (on average 43 (SD = 12) years, 247 women) completed the Self-Concept Clarity Scale, the Intolerance of Uncertainty scale, and the Schizotypal Personality Questionnaire - Brief Revised. Lower self-concept clarity was significantly associated with higher levels of positive, negative, and disorganized schizotypy, as well as with greater inhibitory intolerance of uncertainty. Importantly, a moderation analysis revealed that intolerance of uncertainty significantly altered the strength of the negative relationship between self-concept clarity and both positive and disorganized schizotypy. Specifically, this association was strongest among individuals with low levels of intolerance of uncertainty. In contrast, at higher levels of intolerance of uncertainty, the negative relationship between self-concept clarity and both positive and disorganized schizotypy was weaker. This pattern suggests that, among individuals with lower tolerance for uncertainty, a better-defined self-concept is more strongly associated with lower levels of positive and disorganized schizotypy. These results underscore the importance of considering both self-structure and uncertainty tolerance in models of schizotypy and psychosis risk. Our findings suggest that self-concept clarity and intolerance of uncertainty are interrelated cognitive factors that synergistically explain variance in schizotypal traits. As intolerance of uncertainty is a potentially modifiable cognitive process, the results have implications for early interventions aimed at reducing psychosis risk by improving self-concept clarity and tolerance for uncertainty. Although the study used a non-clinical sample, it supports a dimensional approach to psychosis and highlights key targets for future research.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-07-02
DOI
https://doi.org/10.1371/journal.pone.0352650
Primary Topic
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The uncertain self: Intolerance of uncertainty moderates the association of both positive and disorganized schizotypal traits with self-concept clarity in a non-clinical sample

Dorottya Bencze, Szabolcs Kéri, Ágota Vass, Mihály Racsmány et al.
PLoS ONE
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
article

The uncertain self: Intolerance of uncertainty moderates the association of both positive and disorganized schizotypal traits with self-concept clarity in a non-clinical sample

Dorottya Bencze, Szabolcs Kéri, Ágota Vass, Mihály Racsmány, Ágnes Szöllősi, Alexandra Kaszás, Bertalan Polner
article en

Abstract

Our objective was to investigate the relationship between self-concept clarity, intolerance of uncertainty, and schizotypal traits, with a focus on whether intolerance of uncertainty moderates the association between self-concept clarity and positive schizotypy in a non-clinical context. A sample of 315 adults (on average 43 (SD = 12) years, 247 women) completed the Self-Concept Clarity Scale, the Intolerance of Uncertainty scale, and the Schizotypal Personality Questionnaire - Brief Revised. Lower self-concept clarity was significantly associated with higher levels of positive, negative, and disorganized schizotypy, as well as with greater inhibitory intolerance of uncertainty. Importantly, a moderation analysis revealed that intolerance of uncertainty significantly altered the strength of the negative relationship between self-concept clarity and both positive and disorganized schizotypy. Specifically, this association was strongest among individuals with low levels of intolerance of uncertainty. In contrast, at higher levels of intolerance of uncertainty, the negative relationship between self-concept clarity and both positive and disorganized schizotypy was weaker. This pattern suggests that, among individuals with lower tolerance for uncertainty, a better-defined self-concept is more strongly associated with lower levels of positive and disorganized schizotypy. These results underscore the importance of considering both self-structure and uncertainty tolerance in models of schizotypy and psychosis risk. Our findings suggest that self-concept clarity and intolerance of uncertainty are interrelated cognitive factors that synergistically explain variance in schizotypal traits. As intolerance of uncertainty is a potentially modifiable cognitive process, the results have implications for early interventions aimed at reducing psychosis risk by improving self-concept clarity and tolerance for uncertainty. Although the study used a non-clinical sample, it supports a dimensional approach to psychosis and highlights key targets for future research.

PLoS ONEVol. 21(7)
Semmelweis University (HU), Eötvös Loránd University (HU), University of Szeged (HU), Budapest University of Technology and Economics (HU), Sárospatak Reformed Theological University (HU), Institute of Cognitive Neuroscience and Psychology (HU), HUN-REN Research Centre for Natural Sciences (HU)
Magyar Tudományos Akadémia
Openalex Percentile: Top 5%
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.