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Decision-making and risk in bipolar disorder: A quantitative study using fuzzy trace theory

Decision-making and risk in bipolar disorder: A quantitative study using fuzzy trace theory
Decision-making and risk in bipolar disorder: A quantitative study using fuzzy trace theory
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.
1476-0835
105
Sicilia, Anna Chiara
31889f9f-f701-4dcc-b70a-30eb3d5eb31f
Lukacs, Julia Nora
59fa2f44-4fe5-4e27-b539-86def3180d76
Jones, Steven
c903deb2-5c0f-4438-b9df-8da15ebe3c6b
Perez Algorta, Guillermo
b5df4f02-c868-42b9-8e2e-730c14a9c7b2
Sicilia, Anna Chiara
31889f9f-f701-4dcc-b70a-30eb3d5eb31f
Lukacs, Julia Nora
59fa2f44-4fe5-4e27-b539-86def3180d76
Jones, Steven
c903deb2-5c0f-4438-b9df-8da15ebe3c6b
Perez Algorta, Guillermo
b5df4f02-c868-42b9-8e2e-730c14a9c7b2

Sicilia, Anna Chiara, Lukacs, Julia Nora, Jones, Steven and Perez Algorta, Guillermo (2019) Decision-making and risk in bipolar disorder: A quantitative study using fuzzy trace theory. Psychology and Psychotherapy: Theory, Research and Practice, 93 (1), 105, [93(1)]. (doi:10.1111/papt.12215).

Record type: Article

Abstract

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.

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More information

Published date: 24 January 2019

Identifiers

Local EPrints ID: 503045
URI: http://eprints.soton.ac.uk/id/eprint/503045
ISSN: 1476-0835
PURE UUID: 1ca18199-211d-4b56-86cd-1efeefe0723f
ORCID for Anna Chiara Sicilia: ORCID iD orcid.org/0000-0002-4428-2017

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Date deposited: 17 Jul 2025 16:53
Last modified: 18 Jul 2025 02:17

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Contributors

Author: Anna Chiara Sicilia ORCID iD
Author: Julia Nora Lukacs
Author: Steven Jones
Author: Guillermo Perez Algorta

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