title: Extreme positive and negative appraisals of activated states interact to discriminate bipolar disorder from unipolar depression and non-clinical controls.
abstract: BACKGROUND
  This research aimed to test whether positive, negative, or conflicting appraisals about activated mood states (e.g., energetic and high states) predicted bipolar disorder.
  
  
  METHODS
  A sample of individuals from clinical and control groups (171 with bipolar disorder, 42 with unipolar depression, and 64 controls) completed a measure of appraisals of internal states.
  
  
  RESULTS
  High negative appraisals related to a higher likelihood of bipolar disorder irrespective of positive appraisals. High positive appraisals related to a higher likelihood of bipolar disorder only when negative appraisals were also high. Individuals were most likely to have bipolar disorder, as opposed to unipolar depression or no diagnosis, when they endorsed both extremely positive and extremely negative appraisals of the same, activated states.
  
  
  CONCLUSIONS
  Appraisals of internal states were based on self-report.
  
  
  CONCLUSIONS
  The results indicate that individuals with bipolar disorder tend to appraise activated, energetic internal states in opposing or conflicting ways, interpreting these states as both extremely positive and extremely negative. This may lead to contradictory attempts to regulate these states, which may in turn contribute to mood swing symptoms. Psychological therapy for mood swings and bipolar disorder should address extreme and conflicting appraisals of mood states.
authors.affiliation: University of Manchester, United Kingdom. rebecca.e.kelly@manchester.ac.uk
authors.forename: Rebecca E
authors.initials: RE
authors.lastname: Kelly
authors.forename: Warren
authors.initials: W
authors.lastname: Mansell
authors.forename: Alex M
authors.initials: AM
authors.lastname: Wood
authors.forename: Yousra
authors.initials: Y
authors.lastname: Alatiq
authors.forename: Alyson
authors.initials: A
authors.lastname: Dodd
authors.forename: Ruth
authors.initials: R
authors.lastname: Searson
mesh_terms: D000328:Adult; D000339:Affect; D001714:Bipolar Disorder / Q000175:diagnosis / Q000188:drug therapy / Q000523:psychology*; D016022:Case-Control Studies; D003863:Depression; D003866:Depressive Disorder / Q000175:diagnosis / Q000523:psychology; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D019964:Mood Disorders / Q000188:drug therapy; D012649:Self Concept