Executive functioning and dysfunctional personality traits in young adults: a dimensional approach focused on impulsivity
DOI:
https://doi.org/10.15665/ckfhjs58Keywords:
executive functioning, impulsivity, personality, self-regulation, young adultsAbstract
Executive functioning (EF) comprises a set of higher-order cognitive processes involved in behavioral and emotional self-regulation. Several theoretical models propose that individual differences in these processes are associated with variability in personality traits, particularly those related to impulsivity. However, empirical evidence addressing this relationship in non-clinical young adult populations remains limited.
The present study examined the association between executive functioning and dysfunctional personality traits in a sample of young university students from a dimensional perspective. A cross-sectional correlational design was employed with 100 participants (55 women; mean age = 21.9 years), assessed using the Ineco Frontal Screening (IFS) and the Salamanca Screening Test. Associations were analyzed using Spearman correlations with correction for multiple comparisons, complemented by multiple linear regression models with HC3 robust standard errors and penalized regression techniques (Elastic Net and LASSO).
Results indicated that, after correction for multiple comparisons, only the impulsive trait was significantly associated with lower global executive functioning, showing a small-to-moderate effect size (Rho = −0.32, pFDR = 0.013). Domain-level analyses revealed bivariate associations between impulsivity and indices of inhibitory control and working memory, while subcomponent-level analyses showed robust associations with tasks assessing inhibitory control, verbal and visuospatial working memory, and verbal abstraction. Penalized regression models yielded a consistent pattern of executive predictors, supporting the robustness of the observed associations.
Overall, these findings suggest that impulsivity represents a personality trait particularly sensitive to subclinical variability in executive functioning during young adulthood. From an applied perspective, the results underscore the relevance of executive processes as potential targets for preventive strategies and psychological and neuropsychological interventions aimed at strengthening self-regulatory capacities.
References
Allen, T. A., & DeYoung, C. G. (2023). Personality neuroscience: A developmental perspective. Personality Neuroscience, 6, e2. https://doi.org/10.1017/pen.2023.1
Barkley, R. A. (2001). The executive functions and self-regulation: An evolutionary neuropsychological perspective. Neuropsychology Review, 11(1), 1-29. https://doi.org/10.1023/A:1009085417776
Barkley, R. A. (2011). Barkley deficits in executive functioning scale (BDEFS). Guilford Press.
Barkley, R. A. (2012). Executive functions: What they are, how they work, and why they evolved. Guilford Press.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
Blair, R. J. R. (2007). The amygdala and ventromedial prefrontal cortex in morality and psychopathy. Trends in Cognitive Sciences, 11(9), 387-392. https://doi.org/10.1016/j.tics.2007.07.003
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
Damasio, A. R. (1994). Descartes' error: Emotion, reason, and the human brain. Putnam.
DeYoung, C. G. (2010). Personality neuroscience and the biology of traits. Social and Personality Psychology Compass, 4(12), 1165-1180. https://doi.org/10.1111/j.1751-9004.2010.00327.x
DeYoung, C. G., Hirsh, J. B., Shane, M. S., Papademetris, X., Rajeevan, N., & Gray, J. R. (2010). Testing predictions from personality neuroscience: Brain structure and the Big Five. Psychological Science, 21(6), 820-828. https://doi.org/10.1177/0956797610370159
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135-168. https://doi.org/10.1146/annurev-psych-113011-143750
Diamond, A. (2020). Executive functions. In S. T. Fiske (Ed.), Handbook of Clinical Neurology (Vol. 173, pp. 225-240). Elsevier. https://doi.org/10.1016/B978-0-444-64150-2.00020-4
Diamond, A., & Ling, D. S. (2016). Conclusions about interventions, programs, and approaches for improving executive functions that appear justified and those that, despite much hype, do not. Developmental Cognitive Neuroscience, 18, 34-48. https://doi.org/10.1016/j.dcn.2015.11.005
Fineberg, N. A., Chamberlain, S. R., Goudriaan, A. E., Stein, D. J., Vanderschuren, L. J., Gillan, C. M., ... & Potenza, M. N. (2014). New developments in human neurocognition: Clinical, genetic, and brain imaging correlates of impulsivity and compulsivity. CNS Spectrums, 19(1), 69-89. https://doi.org/10.1017/S1092852913000801
Friedman, N. P., & Robbins, T. W. (2022). The role of prefrontal cortex in cognitive control and executive function. Neuropsychopharmacology, 47(1), 72-89. https://doi.org/10.1038/s41386-021-01132-0
Funder, D. C., & Ozer, D. J. (2019). Evaluating effect size in psychological research: Sense and nonsense. Advances in Methods and Practices in Psychological Science, 2(2), 156–168.
https://doi.org/10.1177/2515245919847202
Gignac, G. E., & Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and Individual Differences, 102, 74–78. https://doi.org/10.1016/j.paid.2016.06.069
Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: Data mining, inference, and prediction (2nd ed.). Springer. https://doi.org/10.1007/978-0-387-84858-7
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
Long, J. S., & Ervin, L. H. (2000). Using heteroscedasticity consistent standard errors in the linear regression model. The American Statistician, 54(3), 217–224. https://doi.org/10.1080/00031305.2000.10474549
Luna, B., Marek, S., Larsen, B., Tervo-Clemmens, B., & Chahal, R. (2015). An integrative model of the maturation of cognitive control. Annual Review of Neuroscience, 38, 151-170. https://doi.org/10.1146/annurev-neuro-071714-034054
Michelini, G., Barch, D. M., Tian, Y., Watson, D., Klein, D. N., & Kotov, R. (2021). Multiple pathways to impulsivity: A transdiagnostic approach to neurocognitive mechanisms. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(3), 286-295. https://doi.org/10.1016/j.bpsc.2020.09.016
Miyake, A., & Friedman, N. P. (2012). The nature and organization of individual differences in executive functions: Four general conclusions. Current Directions in Psychological Science, 21(1), 8-14. https://doi.org/10.1177/0963721411429458
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex frontal lobe tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49-100. https://doi.org/10.1006/cogp.1999.0734
Pérez Urdániz, A., García Gutiérrez, A., & Alvarado Izquierdo, J. M. (2007). Cuestionario Salamanca de Personalidad (CSP). Tea Ediciones.
Phelps, E. A. (2005). The interaction of emotion and cognition: Insights from studies of the human amygdala. In A. S. R. Manstead, N. Frijda, & A. Fischer (Eds.), Feelings and emotions: The Amsterdam symposium (pp. 51-66). Cambridge University Press.
Roberts, B. W., Lejuez, C., Krueger, R. F., Richards, J. M., & Hill, P. L. (2014). What is conscientiousness and how can it be assessed? Developmental Psychology, 50(5), 1315-1330. https://doi.org/10.1037/a0031109
Romer, A. L., & Pizzagalli, D. A. (2021). Is executive dysfunction a risk factor or consequence of psychopathology? A test of executive function as a prospective predictor and outcome of general psychopathology in the Adolescent Brain Cognitive Development Study®. JAMA Psychiatry, 78(11), 1204-1212. https://doi.org/10.1001/jamapsychiatry.2021.2421
Rømer, T. B., Mørup, A. H., Petersen, L. V., Pedersen, C. B., & Plessen, K. J. (2023). The dimensional structure of psychopathology and personality traits in emerging adulthood. Journal of Psychopathology and Clinical Science, 132(2), 171-184. https://doi.org/10.1037/abn0000804
Sánchez-Kuhn, A., Pérez-Fernández, C., Medina, J. A., García-Martín, M. B., & Sánchez-Santed, F. (2023). Executive functions and personality traits in university students: A network analysis approach. Journal of Personality Assessment, 105(3), 345-358. https://doi.org/10.1080/00223891.2022.2155842
Sharma, L., Markon, K. E., & Clark, L. A. (2014). Cognitive and personality correlates of impulsive behaviour in healthy adults. Journal of Personality Assessment, 96(1), 96-106. https://doi.org/10.1080/00223891.2013.834440
Sierra Sanjurjo N, Saraniti AB, Gleichgerrcht E, Roca M, Manes F, Torralva T. The IFS (INECO Frontal Screening) and level of education: Normative data. Appl Neuropsychol Adult. 2019 Jul-Aug;26(4):331-339. doi: 10.1080/23279095.2018.1427096. Epub 2018 Feb 12. PMID: 29432039.
Steward, T., Muela, A., Martínez, J., García, A., & Aguirre, N. (2022). Neurocognitive correlates of impulsive aggression in youth: A systematic review. Neuroscience & Biobehavioral Reviews, 138, 104705. https://doi.org/10.1016/j.neubiorev.2022.104705
Stuss, D. T., & Levine, B. (2002). Adult clinical neuropsychology: Lessons from studies of the frontal lobes. Annual Review of Psychology, 53, 401-433. https://doi.org/10.1146/annurev.psych.53.100901.135220
Torralva, T., Roca, M., Gleichgerrcht, E., López, P., & Manes, F. (2009). INECO Frontal Screening (IFS): A brief, sensitive, and specific tool to assess executive functions in dementia. Journal of the International Neuropsychological Society, 15(5), 777-786. https://doi.org/10.1017/S1355617709990345
Verdejo-García, A., & Albein-Urios, N. (2021). Impulsivity traits and neurocognitive mechanisms conferring vulnerability to substance use disorders. Neuropharmacology, 183, 108402. https://doi.org/10.1016/j.neuropharm.2020.108402
Widiger, T. A., & Smith, G. T. (2008). Personality and psychopathology. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (3rd ed., pp. 743-769). Guilford Press.
Wright, A. G. C., Gates, K. M., Arizmendi, C., Lane, S. T., Woods, W. C., & Edershile, E. A. (2021). The hierarchical structure of human personality: A meta-analysis of the predictive validity of the Five-Factor Model. Psychological Bulletin, 147(5), 477-503. https://doi.org/10.1037/bul0000324
Zou, H., & Hastie, T. (2005). Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(2), 301–320. https://doi.org/10.1111/j.1467-9868.2005.00503.x
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Copyright (c) 2026 Víctor Manuel Pardo Maza, Aura Manjarrez Navarro, Ruth Caicedo Ruiz, Silvia Stephania Ayala Pineda, David Mendoza Martinez, Mariana Pino Melgarejo

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