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  • Title: Attributional biases, paranoia, and depression in early psychosis.
    Author: Langdon R, Still M, Connors MH, Ward PB, Catts SV.
    Journal: Br J Clin Psychol; 2013 Nov; 52(4):408-23. PubMed ID: 24117913.
    Abstract:
    OBJECTIVES: Attributional biases to externalize blame for negative events (externalizing bias) and to target other people for blame (personalizing bias) may constitute a vulnerability to psychosis. However, most research to date has only examined attributional biases in chronic patients. We examined attributional style, paranoia, and depression in early psychosis patients to assess the primacy of attributional biases in psychosis. DESIGN: A quasi-experimental design was adopted to compare the attributional style of patients and controls. Correlates of attributional style were also examined. METHODS: Early psychosis patients and age- and gender-matched healthy controls completed the 'Internal, Personal and Situational Attributions Questionnaire'. Paranoid tendencies, suspiciousness, and depression were also assessed in both groups, while severity of current symptoms was assessed in patients. RESULTS: A high proportion of patients had persecutory delusions. These patients, however, did not differ from controls in externalizing or personalizing bias. Whereas suspiciousness and persecutory delusions in patients associated with externalizing bias, no bias measures associated with paranoid tendencies in either patients or controls. Counter to the pattern seen for endogenous depression, depression in patients was associated with an increased tendency to attribute events to self and a decreased tendency to attribute events to circumstances. CONCLUSIONS: These preliminary findings raise doubts about the primacy of attributional biases in psychosis. The novel findings with regard to depression warrant further investigation and suggest that young people, who develop depression after the onset of psychosis, may experience a need to re-establish a sense of personal control over life events that appear unpredictable.
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