Further evidence of the heterogeneous nature of impulsivity

Caswell, Amy J.; Bond, Rod; Duka, Theodora; Morgan, M.

doi:10.1016/j.paid.2014.11.059

Cited by 130 publications

(112 citation statements)

References 50 publications

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“…Due to the specific character of the study and limited control over circumstances participants were completing the tasks, for the MFFT, for which response time is important for calculating the dependent variable IS, we excluded participants whose reaction times were outside the range observed in the previous study performed in our lab with a large sample size ( N = 160) (Caswell et al, 2015) (46 excluded).…”

Section: Resultsmentioning

confidence: 99%

Risk-Taking and Impulsivity: The Role of Mood States and Interoception

2018

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Objectives: The consequences of impulsive decisions and actions represent a major source of concern to the health and well-being of individuals and society. It is, therefore, crucial to understand the factors which contribute to impulsive behaviors. Here, we examined how personality traits of behavioral tendencies, interoceptive sensibility as well as transient mood states predict behavioral performance on impulsivity and risk-taking tasks.Method: 574 (121 males; age 18–45) individuals completed self-report personality measures of impulsivity, reward sensitivity, punishment avoidance as well as interoceptive sensibility, undertook a mood assessment and performed a set of cognitive tasks: delay discounting (temporal impulsivity), probability discounting (risk-taking), and reflection impulsivity task. Data were interrogated using principal component analysis, correlations and regression analyses to test mutual relationships between personality traits, interoceptive sensibility, mood state and impulsive behaviors.Results: We observed a clear separation of measures used, both trait and behavioral. Namely, sensation-seeking, reward sensitivity and probability discounting reflected risk-taking. These were separate from measures associated with impulsivity, both trait (negative and positive urgency, premeditation, perseverance) and behavioral (delayed discounting and reflection impulsivity). This separation was further highlighted by their relationship with the current emotional state: positive affect was associated with increased risk-taking tendencies and risky decision-making, while negative emotions were related to heightened impulsivity measures. Interoceptive sensibility was only associated with negative emotions component.Conclusion: Our findings support the proposal that risk-taking and impulsivity represent distinct constructs that are differentially affected by current mood states. This novel insight enhances our understanding of impulsive behaviors.

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Section: Resultsmentioning

confidence: 99%

Risk-Taking and Impulsivity: The Role of Mood States and Interoception

2018

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“…This may be because self‐report measures have the ability to assess stable personality traits as opposed to state‐dependent behaviors. In fact, while positive correlations have been found between both self‐report and traditional laboratory measures, they are often weak and inconsistent [Caswell et al, ; Reynolds et al, ] suggesting that they may be measuring subtly different aspects of impulsivity [Moeller et al, ; Snowden and Gray, ; Stahl et al, ]. For example, self‐report questionnaires allow researchers to measure an individual's behavior within various social contexts [Aichert et al, ], while traditional laboratory‐based measures of impulsivity explore specific inhibitory functions in response to stimulus‐driven cues.…”

Section: Discussionmentioning

confidence: 99%

Networks underlying trait impulsivity: Evidence from voxel-based lesion-symptom mapping

et al. 2016

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Impulsivity is considered a multidimensional construct that encompasses a range of behaviors, including poor impulse control, premature decision-making, and the inability to delay gratification. In order to determine the extent to which impulsivity and its components share a common network, we performed a voxel-based lesion-symptom mapping (VLSM) analysis in a large sample of patients (N=131) with focal, penetrating traumatic brain injuries (pTBI). Impulsivity was assessed using the Barratt Impulsiveness Scale (BIS-11), a standard self-report measure that allows for unique estimates of global impulsivity and its factor analysis-derived components (e.g., “motor impulsivity”). Heightened global impulsivity was associated with damage to multiple areas in bilateral prefrontal cortex (PFC), left superior, middle and inferior temporal gyrus, and left hippocampus. Moreover, we identified a cluster within the left PFC associated specifically with motor impulsivity (defined as “acting without thinking”). Our results are consistent with existing literature on bilateral prefrontal cortical involvement in behavioral impulsivity, but also provide new evidence for a more complex neuroanatomical representation of this construct, characterized by left-lateralized temporal and hippocampal involvement, as well as a left-lateralized prefrontal network specifically associated with motor impulsivity.

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“…Given the evidence of multidimensionality, several studies have examined the relationships among measures of impulsivity to identify their underlying latent structure (Reynolds et al 2006; Sharma et al 2013; Sharma et al 2014; MacKillop et al 2014; Stahl et al 2014; Caswell et al 2015), revealing some meaningful patterns. However, the factor solutions have varied across studies, potentially because the specific measures used vary across studies and the studies often also include other constructs such as reward sensitivity, risk taking, cognitive interference or memory.…”

Section: Introductionmentioning

confidence: 99%

The latent structure of impulsivity: impulsive choice, impulsive action, and impulsive personality traits

et al. 2016

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Rationale Impulsivity has been strongly linked to addictive behaviors, but can be operationalized in a number of ways that vary considerably in overlap, suggesting multidimensionality. Objective This study tested the hypothesis that the latent structure among multiple measures of impulsivity would reflect three broad categories: impulsive choice, reflecting discounting of delayed rewards; impulsive action, reflecting ability to inhibit a prepotent motor response; and impulsive personality traits, reflecting self-reported attributions of self-regulatory capacity. Methods The study used a cross-sectional confirmatory factor analysis of multiple impulsivity assessments. Participants were 1252 young adults (62% female) with low levels of addictive behavior who were assessed in individual laboratory rooms at the University of Chicago and the University of Georgia. The battery comprised a delay discounting task, Monetary Choice Questionnaire, Conners Continuous Performance Test, Go/NoGo Task, Stop Signal Task, Barratt Impulsivity Scale, and the UPPS-P Impulsive Behavior Scale. Results The hypothesized three-factor model provided the best fit to the data, although Sensation Seeking was excluded from the final model. The three latent factors were largely unrelated to each other and were variably associated with substance use. Conclusions These findings support the hypothesis that diverse measures of impulsivity can broadly be organized into three categories that are largely distinct from one another. These findings warrant investigation among individuals with clinical levels of addictive behavior and may be applied to understanding the underlying biological mechanisms of these categories.

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Further evidence of the heterogeneous nature of impulsivity

Cited by 130 publications

References 50 publications

Risk-Taking and Impulsivity: The Role of Mood States and Interoception

Risk-Taking and Impulsivity: The Role of Mood States and Interoception

Networks underlying trait impulsivity: Evidence from voxel-based lesion-symptom mapping

The latent structure of impulsivity: impulsive choice, impulsive action, and impulsive personality traits

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