The interaction between cognitive biases, intolerance of uncertainty and anxiety sensitivity in schizophrenia spectrum disorder

Introduction The cognitive model of psychosis suggests that psychotic symptoms may arise due to biases in information processing. Cognitive biases such as jumping to conclusions (JTC), belief inflexibility (BI), selective attention to threat (AT), and external attribution (EA) are dysfunctional ways of thinking in which distortions are observed in data collection, processing and interpretation. Cognitive biases are known to be associated with the occurrence of positive psychotic symptoms, but evidence for the influence of other cognitive processes on this relationship remains lacking. Objectives This study aimed to examine the relationship between cognitive biases and psychotic symptoms in schizophrenia spectrum disorders and the cognitive factors hypothesized to influence this relationship, such as intolerance of uncertainty and insight. Methods 65 patients with schizophrenia spectrum disorder were included. Sociodemographic data form, Davos Assessment of Cognitive Biases Scale (DACOBS), Intolerance of Uncertainty Scale (IUS) Anxiety Sensitivity Index-3 (ASI-3), and Beck Cognitive Insight Scale (BCIS) Positive and Negative Syndrome Scale (PANSS) and Beck Anxiety Inventory were applied. Ethics committee approval was obtained (no: 2023-40). Statistical analysis was performed with SPSS 25. Results The mean age of the participants was 39.27 ± 12.21 years. 63.1% were male (n: 41) and 36.9% (n: 24) were female. Disease duration was 16.95 ± 12.80 years. Hierarchical regression analysis determined that PANNS positive scores were predicted by DACOBS external attribution subscale and IUS, ASI-3 and BCIS scores had a moderator effect (F: 3.51 p<0.001). Conclusions Our results showed that external attribution bias is the only cognitive bias associated with positive psychotic symptoms. Intolerance of uncertainty and anxiety sensitivity also play a role in the prediction of positive psychotic symptoms. Targeting intolerance of uncertainty and anxiety sensitivity with cognitive interventions may be useful in the treatment of positive psychotic symptoms in schizophrenia spectrum disorders. Disclosure of Interest None Declared

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Journal
European Psychiatry
Published
2025-04-01
DOI
https://doi.org/10.1192/j.eurpsy.2025.2226
Primary Topic
Psychological Treatments and Assessments
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article
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article

The interaction between cognitive biases, intolerance of uncertainty and anxiety sensitivity in schizophrenia spectrum disorder

İlkay Keleş Altun, Şükrü Alperen Korkmaz, Murat İlhan Atagün, Ibeth Rocío Cáceres Durán
European Psychiatry
Psychological Treatments and Assessments
article

The interaction between cognitive biases, intolerance of uncertainty and anxiety sensitivity in schizophrenia spectrum disorder

İlkay Keleş Altun, Şükrü Alperen Korkmaz, Murat İlhan Atagün, Ibeth Rocío Cáceres Durán
article en

Abstract

Introduction The cognitive model of psychosis suggests that psychotic symptoms may arise due to biases in information processing. Cognitive biases such as jumping to conclusions (JTC), belief inflexibility (BI), selective attention to threat (AT), and external attribution (EA) are dysfunctional ways of thinking in which distortions are observed in data collection, processing and interpretation. Cognitive biases are known to be associated with the occurrence of positive psychotic symptoms, but evidence for the influence of other cognitive processes on this relationship remains lacking. Objectives This study aimed to examine the relationship between cognitive biases and psychotic symptoms in schizophrenia spectrum disorders and the cognitive factors hypothesized to influence this relationship, such as intolerance of uncertainty and insight. Methods 65 patients with schizophrenia spectrum disorder were included. Sociodemographic data form, Davos Assessment of Cognitive Biases Scale (DACOBS), Intolerance of Uncertainty Scale (IUS) Anxiety Sensitivity Index-3 (ASI-3), and Beck Cognitive Insight Scale (BCIS) Positive and Negative Syndrome Scale (PANSS) and Beck Anxiety Inventory were applied. Ethics committee approval was obtained (no: 2023-40). Statistical analysis was performed with SPSS 25. Results The mean age of the participants was 39.27 ± 12.21 years. 63.1% were male (n: 41) and 36.9% (n: 24) were female. Disease duration was 16.95 ± 12.80 years. Hierarchical regression analysis determined that PANNS positive scores were predicted by DACOBS external attribution subscale and IUS, ASI-3 and BCIS scores had a moderator effect (F: 3.51 p<0.001). Conclusions Our results showed that external attribution bias is the only cognitive bias associated with positive psychotic symptoms. Intolerance of uncertainty and anxiety sensitivity also play a role in the prediction of positive psychotic symptoms. Targeting intolerance of uncertainty and anxiety sensitivity with cognitive interventions may be useful in the treatment of positive psychotic symptoms in schizophrenia spectrum disorders. Disclosure of Interest None Declared

European PsychiatryVol. 68(S1)
Çanakkale Onsekiz Mart Üniversitesi (TR), University of Health Science (KH), S.B.Ü. Bursa Yüksek İhtisas Eğitim ve Araştırma Hastanesi (TR), University of Health Sciences (SO)
Openalex Percentile: Top 66%
Psychological Treatments and Assessments
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