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. 2014 Jun;53(2):213-27.
doi: 10.1111/bjc.12036. Epub 2013 Nov 22.

Predictors of distress associated with psychotic-like anomalous experiences in clinical and non-clinical populations

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Predictors of distress associated with psychotic-like anomalous experiences in clinical and non-clinical populations

Caroline Brett et al. Br J Clin Psychol. 2014 Jun.

Abstract

Objectives: Psychotic-like anomalous experiences are not inherently distressing, nor do they inevitably lead to clinical conditions. However, distress is an important predictor of onset and relapse in psychosis, and a primary indicator of problematic mental health. This study aimed to identify factors that predict distress across three groups with anomalous experiences.

Design and methods: This study used a cross-sectional design. Participants in 'Diagnosed' (n = 35), 'At Risk' (n = 20), and 'Undiagnosed' (n = 36) groups completed the Appraisals of Anomalous Experiences Interview (AANEX; Brett et al., 2007, Br. J. Psychiatry, 191, s23), which taps anomalies experienced, appraisals, and other psychological and contextual variables. A series of ordinal logistic regression analyses was conducted to investigate which variables predicted anomaly-related distress.

Results: Predictors of higher distress were anomalous states characterized by changes in awareness and cognitive functioning (rather than more typical positive symptoms), appraisals of experiences as caused by 'other people', and greater attempted control over experiences. Predictors of lower distress were 'spiritual' appraisals, greater perceived social support/understanding, greater perceived controllability, and reacting with a 'neutral response'.

Conclusions: While psychotic-like experiences themselves are not necessarily distressing, appraisals and responses to anomalies do predict distress, as do factors relating to the social context. This adds support to the cognitive-behavioural models, and continuum models, of positive psychotic symptoms.

Keywords: anomalous experiences; appraisals; cognitive models; positive symptoms; psychosis.

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