Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation

Mazza, Gina L.; Smyth, Heather L.; Bissett, Patrick G.; Canning, Jessica R.; Eisenberg, Ian W.; Enkavi, A. Zeynep; González, Oscar; Kim, Sunny Jung; Metcalf, Stephen A.; Muniz, Felix B.; Pelham, William E.; Scherer, Emily A.; Valente, Matthew J.; Xie, Haiyi; Poldrack, Russell A.; Marsch, Lisa A.; MacKinnon, David P.

doi:10.1080/00223891.2020.1732994

Cited by 14 publications

(9 citation statements)

References 27 publications

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“…Although general self-regulation and emotion regulation share functional overlaps, these constructs are nonetheless etiologically and biologically distinguishable, and are differentially associated with psychopathology 52 . Thus, the Go/No-Go task was used to measure a function that is separable to that measured by the DERS-16, supported by the finding that cognitive and behavioural measures of selfregulation are weakly correlated and provide unique information 53 . Each trial began with a fixation cross ('+') presented in the centre of the screen for 50 ms followed by a blank screen for 150 ms.…”

Section: Participantsmentioning

confidence: 99%

Coping Using Sex During the Coronavirus Disease 2019 (COVID-19) Outbreak in the United Kingdom

Gillespie

Jones

Uzieblo

et al. 2021

The Journal of Sexual Medicine

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Participantsmentioning

confidence: 99%

Coping Using Sex During the Coronavirus Disease 2019 (COVID-19) Outbreak in the United Kingdom

Gillespie

Jones

Uzieblo

et al. 2021

The Journal of Sexual Medicine

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“…Although studies conducted with larger samples of undergraduates found a curvilinear relationship in which emotion-related impulsivity and response inhibition were related at higher levels ( Dekker and Johnson, 2018 ; Johnson et al, 2016 ), we were unable to replicate that pattern in this small sample. The inability to replicate the association between self-reported and behavioural impulsivity coheres with an abundance of studies documenting poor convergence between self-report and behavioural impulsivity ( Duckworth and Kern, 2011 ; Mazza et al, 2020 ).…”

Section: Discussionmentioning

confidence: 84%

Emotion-related impulsivity: Testing a model of arousal effects on cognitive control

Pearlstein

Johnson

Madole

et al. 2022

Brain and Neuroscience Advances

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The trait-based tendency to respond rashly to emotions is robustly tied to many forms of psychopathology and poor behavioural outcomes, including aggression and suicidality. Researchers have found associations between response inhibition and emotion-related impulsivity; however, effect sizes are often small. Because emotion-related impulsivity emerges in the context of heightened positive and negative emotions, arousal is a candidate trigger of impulsivity. The goals of the present study were to (1) replicate the association between emotion-related impulsivity and response inhibition, and (2) test whether emotion-related impulsivity is associated with arousal-induced decays in response inhibition performance. Participants ( N = 55) completed a self-report measure of emotion-related impulsivity, and then completed a computer-based response inhibition task (the antisaccade task, in which participants must make a rapid saccadic eye movement away from a cue rather than toward it) before and after a well-validated stress induction (the Trier Social Stress Test). Psychophysiological indices of arousal were measured throughout the session. Findings provide partial support for the association between emotion-related impulsivity and pre-stress response inhibition. Contrary to hypotheses, emotion-related impulsivity did not interact with arousal to predict post-stress response inhibition performance after controlling for pre-stress response inhibition performance. Future research is needed to consider clinical samples and to assess whether emotion-related impulsivity is related to deficits in other facets of cognitive control and decision-making.

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“…Using the framework of the CNDS theory and the statistical method of Bayesian network modeling, we have shown that obesity is predicted by a profile of neurobehaviors including enhanced impulsivity, impaired affective state, lower levels of motivation, and poor self-image. Several previous correlational and meta-analytic studies have established that overweight/obesity are related to impaired neurobehaviors including cognitive flexibility, short-term memory, fluid intelligence, impulsivity, and social functioning (Emery & Levine, 2017; Gray et al, 2020; Hovens et al, 2019; Mazza et al, 2020; Olivo et al, 2019; Vainik et al, 2013, 2018; Wood et al, 2019; Yang et al, 2018). The novelty of our data set is that we have provided a side-by-side comparison of a variety of neurobehaviors along with eating and exercise outcomes, establishing a model that predicts obesity with an accuracy of 64.4%.…”

Section: Discussionmentioning

confidence: 99%

A novel model of obesity prediction: Neurobehaviors as targets for treatment.

Satyal¹,

Basso²,

Tegge³

et al. 2021

Behavioral Neuroscience

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Obesity is a worldwide epidemic that is on the rise, with approximately 30% of the world population classified as either overweight or obese. The United States has some of the highest rates of obesity, and in most countries in the world, obesity now poses more of a serious health concern than malnutrition. Obesity is a chronic, relapsing disorder that is both preventable and treatable; however, traditional interventions that target eating less and exercising more have low success rates, especially in the long term. Therefore, identifying the neurobehaviors that predict obesity is important to help identify targets to decrease BMI and improve obesity outcomes. Using the Competing Neurobehavioral Decisions System (CNDS) Theory, we hypothesized that individuals with obesity compared to individuals without obesity would display neurobehaviors marked by a hyperactive impulsive system and a hypoactive executive system. To test this hypothesis, we collected data from a battery of self-reported measures and neurocognitive assessments through Amazon Mechanical Turk from n = 178 obese (BMI ≥ 30) and n = 198 nonobese controls who were weight stable for the past 3 months. We found that compared to the nonobese control group, individuals with obesity showed heightened delay discounting (a marker of CNDS imbalance), impaired motivation, poor self-image, decreased affective state, and impaired executive function. Using a Bayesian network approach, we established a neurobehavioral model that predicts obesity with 64.4% accuracy and indicates an imbalance between impulsive and executive neural systems. Results from our study suggest that interventions targeting neurobehaviors may be integral to help improve obesity outcomes.

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Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation

Cited by 14 publications

References 27 publications

Coping Using Sex During the Coronavirus Disease 2019 (COVID-19) Outbreak in the United Kingdom

Coping Using Sex During the Coronavirus Disease 2019 (COVID-19) Outbreak in the United Kingdom

Emotion-related impulsivity: Testing a model of arousal effects on cognitive control

A novel model of obesity prediction: Neurobehaviors as targets for treatment.

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