TY - JOUR
PY - 2019//
TI - Decision-making and risk in bipolar disorder: a quantitative study using fuzzy trace theory
JO - Psychology and psychotherapy
A1 - Sicilia, Anna Chiara
A1 - Lukacs, Julia Nora
A1 - Jones, Steven
A1 - Perez Algorta, Guillermo
SP - ePub
EP - ePub
VL - ePub
IS - ePub
N2 - OBJECTIVES: This study characterizes risk-taking behaviours in a group of people with a self-reported diagnosis of BD using fuzzy trace theory (FTT). FTT hypothesizes that risk-taking is a 'reasoned' (but sometimes faulty) action, rather than an impulsive act associated with mood fluctuations.
DESIGN: We tested whether measures of FTT (verbatim and gist-based thinking) were predictive of risk-taking intentions in BD, after controlling for mood and impulsivity. We hypothesized that FTT scales would be significant predictors of risk-taking intentions even after accounting for mood and impulsivity.
METHODS: Fifty-eight participants with BD (age range 21-78, 68% female) completed a series of online questionnaires assessing risk intentions, mood, impulsivity, and FTT.
RESULTS: Fuzzy trace theory scales significantly predicted risk-taking intentions (medium effect sizes), after controlling for mood and impulsivity consistent with FTT (part range.26 to.49). Participants with BD did not show any statistically significant tendency towards verbatim-based thinking.
CONCLUSIONS: Fuzzy trace theory gist and verbatim representations were both independent predictors of risk-taking intentions, even after controlling for mood and impulsivity. The results offer an innovative conceptualization of the mechanisms behind risk-taking in BD. PRACTITIONER POINTS: Risk-taking behaviour in bipolar disorder is not just a consequence of impulsivity. Measures of fuzzy trace theory help to understand risk-taking in bipolar disorder. FTT measures predict risk-taking intentions, after controlling for mood and impulsivity.
© 2019 The British Psychological Society.
Language: en
LA - en SN - 1476-0835 UR - http://dx.doi.org/10.1111/papt.12215 ID - ref1 ER -