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Principal components analysis of the Hypomanic Attitudes and Positive Predictions Inventory associations with measures of personality, cognitive style and analogue symptoms in a student sample

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  • Alyson Dodd
  • Warren Mansell
  • Vaneeta Sadhnan
  • Anthony P. Morrison
  • Sara Tai
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<mark>Journal publication date</mark>2010
<mark>Journal</mark>Behavioural and Cognitive Psychotherapy
Issue number1
Volume38
Number of pages19
Pages (from-to)15-33
Publication statusPublished
Original languageEnglish

Abstract

An integrative cognitive model proposed that ascribing extreme personal appraisals to changes in internal state is key to the development of the symptoms of bipolar disorder. The Hypomanic Attitudes and Positive Predictions Inventory (HAPPI) was developed to measure these appraisals. Aims: The aim of the current study was to validate an expanded 61-item version of the HAPPI. Method: In a largely female student sample (N = 134), principal components analysis (PCA) was performed on the HAPPI. Associations between the HAPPI and analogue bipolar symptoms after 3 months were examined. Results: PCA of the HAPPI revealed six categories of belief: Self Activation, Self-and-Other Critical, Catastrophic, Extreme Appraisals of Social Approval, Appraisals of Extreme Agitation, and Loss of Control. The HAPPI predicted all analogue measures of hypomanic symptoms after 3 months when controlling for baseline symptoms. In a more stringent test incorporating other psychological measures, the HAPPI was independently associated only with activation (e.g. thoughts racing) at 3 months. Dependent dysfunctional attitudes predicted greater conflict (e.g. irritability), depression and reduced well-being, hypomanic personality predicted self-reported diagnostic bipolar symptoms, and behavioural dysregulation predicted depression. Conclusions: Extreme beliefs about internal states show a modest independent association with prospective analogue bipolar symptoms, alongside other psychological factors. Further work will be required to improve the factor structure of the HAPPI and study its validity in clinical samples.