Yingyixue Lei, Anton Martinez, Vyv Huddy, Jayne Morriss, Lyn Ellett, Richard Bentall
{"title":"对不确定性的不容忍预示着长期的偏执:来自英国样本的证据。","authors":"Yingyixue Lei, Anton Martinez, Vyv Huddy, Jayne Morriss, Lyn Ellett, Richard Bentall","doi":"10.1016/j.jbtep.2025.102050","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48198,"journal":{"name":"Journal of Behavior Therapy and Experimental Psychiatry","volume":"89 ","pages":"102050"},"PeriodicalIF":2.2000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intolerance of uncertainty predicts paranoia over time: Evidence from a UK sample.\",\"authors\":\"Yingyixue Lei, Anton Martinez, Vyv Huddy, Jayne Morriss, Lyn Ellett, Richard Bentall\",\"doi\":\"10.1016/j.jbtep.2025.102050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":48198,\"journal\":{\"name\":\"Journal of Behavior Therapy and Experimental Psychiatry\",\"volume\":\"89 \",\"pages\":\"102050\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Behavior Therapy and Experimental Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jbtep.2025.102050\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavior Therapy and Experimental Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jbtep.2025.102050","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
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.
期刊介绍:
The publication of the book Psychotherapy by Reciprocal Inhibition (1958) by the co-founding editor of this Journal, Joseph Wolpe, marked a major change in the understanding and treatment of mental disorders. The book used principles from empirical behavioral science to explain psychopathological phenomena and the resulting explanations were critically tested and used to derive effective treatments. The second half of the 20th century saw this rigorous scientific approach come to fruition. Experimental approaches to psychopathology, in particular those used to test conditioning theories and cognitive theories, have steadily expanded, and experimental analysis of processes characterising and maintaining mental disorders have become an established research area.