Effects of impulsivity and alcohol consumption over decision-making among adolescents
DOI:
https://doi.org/10.21134/haaj.v15i1.231Keywords:
alcohol, impulsivity, adolescence, decision making.Abstract
Background: adolescence is a period associated with the onset and progression of alcohol consumption. At this stage are also frequent impulsive behaviors and risky decision-making (DM). Aim: To evaluate pattern of alcohol consumption (PAC) in male and female adolescents, their different levels of impulsivity and how these variables affect decision-making. Methodology: Using a latent class analysis several PAC of 230 adolescents aged 14 to 17 years were determined. Design: A prospective ex post facto crossover design with Positive Urgency (Low / High), PCA (Moderate / Binge) and Sex (Female / Male) as factors was used. DM was assessed in 78 participants who joined the study groups. Results: binge male consumers, compared with moderate, performed better, but their performance declined at the end of the test. Within the group of participants with low positive urgency, those with a binge PAC, made more advantageous DM. Conclusions: PAC and impulsivity trait appear to influence DM in adolescents.Downloads
References
Anderson Johnson, C., Xiao, L., Palmer, P., Sun, P., Wang, Q., Wei, Y., et al. (2008). Affective decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in 10th grade Chinese adolescent binge drinkers. Neuropsychologia, 46, 714-726. doi: 10.1016/j.neuropsychologia.2007.09.012
Bechara, A., & Damasio, H. (2002). Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia 40, 1675–1689.
Bechara, A., Damasio, A.R., Damasio, H., & Anderson, S.W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7-15.
Bechara, A., Tranel, D., & Damasio, H. (2000). Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain 123, 2189-2202.
Blakemore, S., Burnett, S., & Dahl, R. E. (2010). The Role of Puberty in the Developing Adolescent Brain. Human Brain Mapping 31, 926–933.
Bolla, K. I., Eldreth, D., Matochik, J., & Cadet, J. L. (2004). Sex-related differences in a gambling task and its neurological correlates. Cerebral cortex, 14(11), 1226-32. doi: 10.1093/cercor/bhh083.
Brand, M., Recknor, E. C., Grabenhorst, F., & Bechara, A. (2007). Decisions under ambiguity and decisions under risk: Correlations with executive functions and comparisons of two different gambling tasks with implicit and explicit rules. Journal of Clinical and Experimental Neuropsychology, 29(1), 86–99.
Brick, J. (2006). Standardization of Alcohol Calculations in Research. Alcoholism: Clinical and Experimental Research, 30(6), 1276-1287.
Brown, S. A., McGue, M., Maggs, J., Schulenberg, J., Hingson, R., Swartzwelder, S., & Murphy, S. (2008). A Developmental Perspective on Alcohol and Youths 16 to 20 Years of Age. Pediatrics, 121, 290-310.
Casey, B. J., Getz, S., & Galvan, A. (2008). The adolescent brain. Developmental Review 28, 62–77.
Cassola, I., & Pilatti, A., (2004). Expectativas y consumo de alcohol en estudiantes universitarios de la ciudad de Córdoba. (Tesis de Licenciatura no publicada). Facultad de Psicología. Universidad Nacional de Córdoba, Córdoba, Argentina.
Cyders, M.A., Flory, K., Rainer, S., & Smith, G.T. (2009). The role of personality dispositions to risky behavior in predicting first year college drinking. Addiction 104, 193–202.
Cyders, M. A., & Smith, G. T. (2008). Emotion-based Dispositions to Rash Action: Positive and Negative Urgency. Psychological Bulletin, 134(6), 807–828.
Cyders, M.A., Smith, G.T., Spillane, N.S., Fischer, S., Annus, A. M., & Peterson, C. (2007). Integration of impulsivity and positive mood to predict risky behavior: Development and validation of a measure of positive urgency. Psychological Assessment 19, 107–118.
Cyders, M. A., Zapolski, T. C. B., Combs, J. L., Settles, R. F., Fillmore, M. T., & Smith, G. T. (2010). Experimental effect of positive urgency on negative outcomes from risk taking and on increased alcohol consumption. Psychology of Addictive Behaviors, 24(3), 367–375.
Dretsch, M. N., & Tipples, J. (2011). Sex differences moderate decision making behaviour in high impulsive sensation seekers. Cognition & Emotion, 25(1), 149—155.
Goldberg, E., Podell, K., Harner, R., Riggio, S., & Lovell, M., (1994). Cognitive bias, fuctional cortical geometry, and the frontal lobes: laterality, sex, and handedness. Journal of Cognitive Neuroscience, 6(3), 276 – 295.
Goudriaan, A. E., Grekin, E. R., & Sher, K. J. (2007). Decision Making and Binge Drinking: A Longitudinal Study. Alcoholism: Clinical and Experimental Research, 31(6), 928–938.
Hernández Sampieri, R., Fernández Collado, C., & Baptista Lucio, P. (2005). Metodología de la Investigación. Buenos Aires: Mc Graw Hill.
López-Caneda, E., Rodríguez Holguín, S., Cadaveira, F., Corral, M., & Doallo, S. (2014). Impact of Alcohol Use on Inhibitory Control (and Vice Versa) During Adolescence and Young Adulthood: A Review. Alcohol and Alcoholism, 49(2), 173–181. doi: 10.1093/alcalc/agt168.
Martinez, M. V., & Manoiloff, L. M. V. (2010). Evaluación neuropsicológica de la función ejecutiva en adolescentes con diferentes patrones de consumo de alcohol. Revista Argentina de Ciencias del Comportamiento, 2(1), 14-23.
Martinez-Selva, J., Sanchez-Navarro, J., Bechara, A., & Roman, F. (2006). Mecanismos cerebrales de la toma de decisiones. Revista de Neurología, 42(7), 411-418.
Míguez, H. (2004) Epidemiología de la alcoholización juvenil en la Argentina. Acta Psiquiátrica y Psicológica de América Latina, 50(1), 43-47.
Montero, I., & León, O. G. (2007). Guía para nombrar los estudios de investigación en psicología. International Journal of Clinical and Health Psychology, 7(3), 847-862.
Nasrallah, N. A., Yang T. W. H., & Bernstein, I. L. (2009). Long-term risk preference and suboptimal decision making following adolescent alcohol use. Proceedings of the National Academy of Sciences, 106(41), 17600-17604.
OMS (2011). Centro de prensa. Alcohol. Nota descriptiva N°349. Ginebra.
Oliva, A., & Antolín L. (2010). Cambios en el cerebro adolescente y conductas agresivas y de asunción de riesgos. Estudios de Psicología, 31(1), 1-14.
Parada M., Corral M., Caamaño-Isorna F., Mota N., Crego A., Rodríguez-Olguín S., & Cadaveira F. (2011). Definición del concepto de consumo intensivo de alcohol adolescente (binge drinking). Adicciones, 23(1), 53-63.
Pilatti, A., Castillo, D., Martínez, M. V., Acuña, I., Godoy, J. C., & Brussino, S. (2010). Identificación de patrones de consumo de alcohol en adolescentes mediante análisis de clases latentes. Quaderns de Psicología, 12(1), 59-73.
Pilatti, A., Godoy, J. C., Brussino, S. A., & Pautassi, R. M. (2013). Patterns of substance use among Argentinean adolescents and analysis of the effect of age at first alcohol use on substance use behaviors. Addictive behaviors, 38(12), 2847-2850.
Rose, A. K., & Grunsell, L. (2008). The Subjective, Rather Than the Disinhibiting, Effects of Alcohol Are Related to Binge Drinking. Alcoholism: Clinical and Experimental Research, 32(6), 1096–1104.
Salamó Avellaneda, A., Gras Pérez, M. E., & Font-Mayolas, S. (2010). Patrones de consumo de alcohol en la adolescencia. Psicothema, 22(2), 189-195.
Schulte, M. T., Ramo, D., & Brown, S. A. (2009). Gender differences in factors influencing alcohol use and drinking progression among adolescents. Clinical Psychology Review, 29, 535–547.
Secretaría de Programación para la Prevención de la Drogadicción y la Lucha contra el Narcotráfico; SEDRONAR. (2011). Quinta Encuesta Nacional a Estudiantes de Enseñanza Media. Informe Final de Resultados. Buenos Aires, Argentina.
Spear, L. P. (2013). Adolescent Neurodevelopment. Journal of Adolescent Health 52, S7–S13.
Sturman, D. A., & Moghaddam, B. (2011). The neurobiology of adolescence: Changes in brain architecture, functional dynamics, and behavioral tendencies. Neuroscience and Biobehavioral Reviews, 35, 1704–1712.
Tymula, A., Belmaker, L. A. R., Roy, A. K., Ruderman, L., Manson, K., Glimcher, P. W., & Levy, I. (2012). Adolescents’ risk-taking behavior is driven by tolerance to ambiguity. Proceedings of the National Academy of Sciences, 109(42), 17135-17140.
Verdejo-García, A., Lozano, O., Moya, M., Alcázar, M. Á., & Pérez-García, M. (2010). Psychometric Properties of a Spanish Version of the UPPS-P Impulsive Behavior Scale: Reliability, Validity and Association With Trait and Cognitive Impulsivit. Journal of Personality Assessment, 92(1), 70—77.
Vermunt, J. K., & Magidson, J. (2005). Latent Gold 4.0 user´s guide. Belmont: Statistical Innovations.
White, H. R., Marmorstein, N. R., Crews, F. T., Bates, M. E., Mun, E. Y., & Loeber, R. (2011). Associations between heavy drinking and changes in impulsive behavior among adolescent boys. Alcoholism: Clinical and Experimental Research, 35(2), 295-303.
Young, S. E., Corley, R. P., Stallings, M. C., Rhee, S. H., Crowley, T. J., & Hewitt, J. K. (2002). Substance use, abuse and dependence in adolescence: prevalence, symptom profiles and correlates. Drug and Alcohol Dependence, 68, 309−322.
Witt, E. D. (2010) Research on alcohol and adolescent brain development: opportunities and future directions. Alcohol, 44, 119-124.
Downloads
Published
Issue
Section
License
Authors publishing in this journal agree to the journal's statement of ethical principles and to the following terms:
The rights of the published material shall belong to their respective authors. Articles published in HAAJ may be used under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license, and may be read, copied, distributed, printed, searched, or linked to in the full text of this journal without prior permission from the publisher or author, provided that HAAJ and the authors are acknowledged and not used for commercial purposes.
Authors may include the work in institutional repositories or other publications as long as this journal is acknowledged and properly cited.
The HAAJ editorial team encourages authors to disseminate their published work through any means (conferences, classes, lectures, talks, etc.) and/or platforms (social networks, repositories, websites, etc.).
HAAJ follows the Core Practices of COPE (Committee on Publication Ethics).