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Principal components analysis of the Hypomanic Attitudes and Positive Predictions Inventory & associations with measures of personality, cognitive style & analogue symptoms in a student sample
Dodd, A. L., Mansell, W., Sadhnani, V., Morrison, A. P., & Tai, S.
Behavioural and Cognitive Psychotherapy. 2010;38(1):15-34.
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Abstract
Background: 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 expanded61-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 theHAPPI 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 psychologicalmeasures, 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 diagnosticbipolar 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.