Skip to main content

Advertisement

SpringerLink
Log in

Diminished Inhibitory Control in Adolescents with Overweight and/or Substance Use: an ERP Study

  • Original Article
  • Published:
International Journal of Mental Health and Addiction Aims and scope Submit manuscript

Abstract

Adolescence represents a fundamental stage for interactions between excessive food intake and drug consumption. The association between obesity and drug use is unclear, but inhibitory control has been proposed as a common mechanism. The current study aimed to examine differences in inhibitory control measures in adolescents with overweight and/or substance use. Eighty-five adolescents 15–16 years of age were grouped according to a factorial design as cannabis users (n = 44) versus abstainers (n = 41), and alcohol users (n = 50) versus abstainers (n = 35). Participants were also classified depending on their BMI range as normal weight (n = 47) or overweight (n = 38). To measure inhibitory control, participants completed a Go-Nogo task while their brain activity was registered through electroencephalography, recording the event-related potentials during the task. No behavioral differences were found, but overweight teens exhibited lower P3 amplitudes (for both Go and Nogo conditions) compared with normal-BMI teens, indicating general difficulties in recruiting cognitive resources. Also, alcohol users showed higher Nogo-P3 amplitudes compared with alcohol abstainers, suggesting increased need of inhibitory control effort to achieve a good behavioral performance. Results indicate distinct altered inhibitory control functions in overweight adolescents and alcohol users. These findings suggest that different specific mechanisms of modulation of inhibitory control brain processes are involved in excessive food versus drug consumption, against the notion of food-drug competition. Understanding of associations between excessive food intake and substance use in adolescence will require identification of both common and specific risk factors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. Working memory is an essential component of all higher cognitive abilities (e.g., Baddeley, 2012; Chai et al., 2018; Hahn & Rose, 2020) and is strongly associated with fluid intelligence (e.g., Unsworth et al., 2014). Thus, it can be taken as a proxy for overall cognitive functioning (e.g., Chen et al., 2014; Sher et al., 2014; Toseeb et al., 2018; 2020). As deficits in inhibitory control can be due to decreased cognitive functioning, research focusing on the specific associations of inhibitory control should adjust for overall cognitive functioning, as was done in this case by including working memory as a covariate.

References

  • Acheson, A. (2020). Behavioral processes and risk for problem substance use in adolescents. Pharmacology Biochemistry and Behavior, 198, 173021.

    Article  CAS  PubMed  Google Scholar 

  • Albert, J., López-Martín, S., Hinojosa, J. A., & Carretié, L. (2013). Spatiotemporal characterization of response inhibition. NeuroImage, 76, 272–281. https://doi.org/10.1016/j.neuroimage.2013.03.011

    Article  PubMed  Google Scholar 

  • Amiri, S., & Behnezhad, S. (2018). Obesity and substance use: A systematic review and meta-analysis. Obesity Medicine, 11, 31–41. https://doi.org/10.1016/j.obmed.2018.06.002

    Article  Google Scholar 

  • Argyriou, E., Um, M., Carron, C., & Cyders, M. A. (2018). Age and impulsive behavior in drug addiction: A review of past research and future directions. Pharmacology Biochemistry and Behavior, 164, 106–117.

    Article  CAS  PubMed  Google Scholar 

  • Bari, A., & Robbins, T. W. (2013). Inhibition and impulsivity: Behavioral and neural basis of response control. Progress in Neurobiology, 108, 44–79. https://doi.org/10.1016/j.pneurobio.2013.06.005

    Article  PubMed  Google Scholar 

  • Baumeister, H., & Härter, M. (2007). Mental disorders in patients with obesity in comparison with healthy probands. International Journal of Obesity, 31, 1155–1164.

    Article  CAS  PubMed  Google Scholar 

  • Beverly, H. K., Castro, Y., & Opara, I. (2019). Age of first marijuana use and its impact on education attainment and employment status. Journal of Drug Issues, 49, 228–237.

    Article  PubMed  PubMed Central  Google Scholar 

  • Blüher, M. (2019). Obesity: Global epidemiology and pathogenesis. Nature Reviews Endocrinology, 15(5), 288–298. https://doi.org/10.1038/s41574-019-0176-8

    Article  PubMed  Google Scholar 

  • Bortolato, M., & Madden, G. J. (2022). Behavioral addictions, risk-taking, and impulsive choice. Frontiers in Behavioral Neuroscience, 16, 924030. https://doi.org/10.3389/fnbeh.2022.924030

  • Campana, B., Brasiel, P. G., de Aguiar, A. S., & Dutra, S. C. P. L. (2019). Obesity and food addiction: Similarities to drug addiction. Obesity Medicine, 16, 100136.

    Article  Google Scholar 

  • Casey, B., & Jones, R. M. (2010). Neurobiology of the adolescent brain and behavior. Journal of the American Academy of Child and Adolescent Psychiatry, 49(12), 1189–1285.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Caswell, A. J., Morgan, M. J., & Duka, T. (2013). Inhibitory control contributes to “motor”—but not “cognitive”—impulsivity. Experimental Psychology, 60(5), 324–334.

    Article  PubMed  Google Scholar 

  • Chen, S. H., Du, Y. R., & Yang, L. X. (2014). Cognitive capacity and cognitive hierarchy: A study based on beauty contest experiments. Journal of Economic Interaction and Coordination, 9, 69–105.

    Article  Google Scholar 

  • Chen, S., Jia, Y., & Woltering, S. (2018). Neural differences of inhibitory control between adolescents with obesity and their peers. International Journal of Obesity, 42(10), 1753–1761.

    Article  PubMed  Google Scholar 

  • Chen, C. Y., Storr, C. L., & Anthony, J. C. (2009). Early-onset drug use and risk for drug dependence problems. Addictive Behaviors, 34, 319–322.

    Article  CAS  PubMed  Google Scholar 

  • Chilean Ministry of Health. (2017). ENCUESTA NACIONAL DE SALUD 2016–2017 Primeros resultados. Extracted from: https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf

  • Clark, D. B., Kirisci, L., & Tarter, R. E. (1998). Adolescent versus adult onset and the development of substance use disorders in males. Drug and Alcohol Dependence, 49, 115–121.

    Article  CAS  PubMed  Google Scholar 

  • Clayson, P. E., Carbine, K. A., Baldwin, S. A., & Larson, M. J. (2019). Methodological reporting behavior, sample sizes, and statistical power in studies of event-related potentials: Barriers to reproducibility and replicability. Psychophysiology, 56, e13437.

    Article  PubMed  Google Scholar 

  • Conde, K., Peltzer, R. I., Gimenez, P. V., & Cremonte, M. (2020). The association between early drinking and dependence varies by drinking context. Frontiers in Behavioral Neuroscience, 14, 17.

    Article  PubMed  PubMed Central  Google Scholar 

  • Corvalán, C., Uauy, R., Stein, A. D., Kain, J., & Martorell, R. (2009). Effect of growth on cardiometabolic status at 4 y of age. The American Journal of Clinical Nutrition., 90(3), 547–555. https://doi.org/10.3945/ajcn.2008.27318

    Article  CAS  PubMed  Google Scholar 

  • Dalley, J. W., & Ersche, K. D. (2019). Neural circuitry and mechanisms of waiting impulsivity: relevance to addiction. Philosophical Transactions of the Royal Society B, 374(1766), 20180145.

  • Dougherty, D. M., Lake, S. L., Mathias, C. W., Ryan, S. R., Bray, B. C., Charles, N. E., & Acheson, A. (2015). Behavioral impulsivity and risk-taking trajectories across early adolescence in youths with and without family histories of alcohol and other drug use disorders. Alcoholism: Clinical and Experimental Research, 39, 1501–1509.

    Article  Google Scholar 

  • Erermis, S., Cetin, N., Tamar, M., Bukusoglu, N., Akdeniz, F., & Goksen, D. (2004). Is obesity a risk factor for psychopathology among adolescents? Pediatrics International, 46, 296–301.

    Article  PubMed  Google Scholar 

  • Esteves, M., Moreira, P. S., Sousa, N., & Leite-Almeida, H. (2021). Assessing impulsivity in humans and rodents: Taking the translational road. Frontiers in Behavioral Neuroscience, 15, 647922.

    Article  PubMed  PubMed Central  Google Scholar 

  • Falkenstein, M. (2006). Inhibition, conflict and the Nogo-N2. Clinical Neurophysiology, 117(8), 1638–1640. https://doi.org/10.1016/j.clinph.2006.05.002

    Article  PubMed  Google Scholar 

  • Farhat, T., Iannotti, R. J., & Simons-Morton, B. G. (2010). Overweight, obesity, youth, and health-risk behaviors. American Journal of Preventive Medicine, 38, 258–267.

    Article  PubMed  PubMed Central  Google Scholar 

  • Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191.

    Article  PubMed  Google Scholar 

  • Gearhardt, A. N., Waller, R., Jester, J. M., Hyde, L. W., & Zucker, R. A. (2018). Body mass index across adolescence and substance use problems in early adulthood. Psychology of Addictive Behaviors, 32(3), 309–319. https://doi.org/10.1037/adb0000365

    Article  PubMed  PubMed Central  Google Scholar 

  • Gill, I., Moon, J., Kim, Y. J., Kim, J. H., Ahn, D. H., & Koh, M. S. (2019). Visual hyper-vigilance but insufficient mental representation in children with overweight/obesity: Event-related potential study with visual Go/Nogo test. Pediatric Gastroenterology, Hepatology & Nutrition, 22(3), 249–261. https://doi.org/10.5223/pghn.2019.22.3.249

    Article  Google Scholar 

  • Guerrieri, R., Nederkoorn, C., Stankiewicz, K., Alberts, H., Geschwind, N., Martijn, C., & Jansen, A. (2007). The influence of trait and induced state impulsivity on food intake in normal-weight healthy women. Appetite, 49(1), 66–73. https://doi.org/10.1016/j.appet.2006.11.008

    Article  PubMed  Google Scholar 

  • Hajcak, G., Klawohn, J., & Meyer, A. (2019). The utility of event-related potentials in clinical psychology. Annual Review of Clinical Psychology, 15, 71–95. https://doi.org/10.1146/annurev-clinpsy-050718-095457

    Article  PubMed  Google Scholar 

  • Hamilton, K. R., Littlefield, A. K., Anastasio, N. C., Cunningham, K. A., Fink, L. H., Wing, V. C., … & Potenza, M. N. (2015). Rapid-response impulsivity: Definitions, measurement issues, and clinical implications. Personality Disorders: Theory, Research, and Treatment, 6, 168–181.

  • Hildebrandt, M. K., Dieterich, R., & Endrass, T. (2021). Neural correlates of inhibitory control in relation to the degree of substance use and substance-related problems–A systematic review and perspective. Neuroscience & Biobehavioral Reviews, 128, 1–11.

    Article  Google Scholar 

  • Houben, K., Nederkoorn, C., & Jansen, A. (2014). Eating on impulse: The relation between overweight and food-specific inhibitory control. Obesity, 22(5), E6–E8. https://doi.org/10.1002/oby.20670

    Article  PubMed  Google Scholar 

  • Huang, D. Y. C., Lanza, H. I., & Anglin, M. D. (2013). Association between adolescent substance use and obesity in young adulthood: A group-based dual trajectory analysis. Addictive Behaviors, 38(11), 2653–2660. https://doi.org/10.1016/j.addbeh.2013.06.024

    Article  PubMed  PubMed Central  Google Scholar 

  • Huster, R. J., Enriquez-Geppert, S., Lavallee, C. F., Falkenstein, M., & Herrmann, C. S. (2013). Electroencephalography of response inhibition tasks: Functional networks and cognitive contributions. International Journal of Psychophysiology, 87(3), 217–233. https://doi.org/10.1016/j.ijpsycho.2012.08.001

    Article  PubMed  Google Scholar 

  • JUNAEB (2019). Informe Mapa Nutricional 2018. Extracted from: https://www.junaeb.cl/wp-content/uploads/2019/12/Informe-Mapa-Nutricional-2018.pdf

  • Kakoschke, N., Kemps, E., & Tiggemann, M. (2015). Combined effects of cognitive bias for food cues and poor inhibitory control on unhealthy food intake. Appetite, 87, 358–364. https://doi.org/10.1016/j.appet.2015.01.004

    Article  PubMed  Google Scholar 

  • Kleiner, K. D., Gold, M. S., Frostpineda, K., Lenzbrunsman, B., Perri, M. G., & Jacobs, W. S. (2004). Body mass index and alcohol use. Journal of Addictive Diseases, 23(3), 105–118. https://doi.org/10.1300/J069v23n03_08

    Article  PubMed  Google Scholar 

  • Krishnan-Sarin, S., Reynolds, B., Duhig, A. M., Smith, A., Liss, T., McFetridge, A., … & Potenza, M. N. (2007). Behavioral impulsivity predicts treatment outcome in a smoking cessation program for adolescent smokers. Drug and Alcohol Dependence, 88, 79–82.

  • Lauvsnes, A. D. F., Hansen, T. I., Hårberg, A. K., Gråwe, R. W., & Langaas, M. (2022). Poor response inhibition and symptoms of inattentiveness are core characteristics of lifetime illicit substance use among young adults in the general Norwegian population: The HUNT study. Substance Use & Misuse, 57, 1452–1469.

    Article  Google Scholar 

  • Le Strat, Y., & Le Foll, B. (2011). Obesity and cannabis use: Results from 2 representative national surveys. American Journal of Epidemiology, 174, 929–933.

    Article  PubMed  Google Scholar 

  • Lillis, J., Levin, M. E., & Trafton, J. A. (2012). Elevated BMI and illicit drug use are associated with decreased ability to inhibit prepotent behaviors. Addictive Behaviors, 37, 544–547.

    Article  PubMed  Google Scholar 

  • Liu, Y., van den Wildenberg, W. P., De Graaf, Y., Ames, S. L., Baldacchino, A., Bø, R., … & Wiers, R. W. (2019). Is (poly-) substance use associated with impaired inhibitory control? A mega-analysis controlling for confounders. Neuroscience & Biobehavioral Reviews, 105, 288–304.

  • López-Martín, S., Albert, J., Fernández-Jaén, A., & Carretié, L. (2015). Emotional response inhibition in children with attention-deficit/hyperactivity disorder: Neural and behavioural data. Psychological Medicine, 45(10), 2057–2071. https://doi.org/10.1017/s0033291714003195

    Article  PubMed  Google Scholar 

  • Luijten, M., Machielsen, M., Veltman, D., Hester, R., de Haan, L., & Franken, I. (2014). Systematic review of ERP and fMRI studies investigating inhibitory control and error processing in people with substance dependence and behavioural addictions. Journal of Psychiatry & Neuroscience, 39(3), 149–169. https://doi.org/10.1503/jpn.130052

    Article  Google Scholar 

  • Luna, B., Paulsen, D. J., Padmanabhan, A., & Geier, C. (2013). The teenage brain: Cognitive control and motivation. Current Directions in Psychological Science, 22(2), 94–100. https://doi.org/10.1177/0963721413478416

    Article  PubMed  PubMed Central  Google Scholar 

  • MacKillop, J., Weafer, J., Gray, J. C., Oshri, A., Palmer, A., & de Wit, H. (2016). The latent structure of impulsivity: Impulsive choice, impulsive action, and impulsive personality traits. Psychopharmacology (berl), 233(18), 3361–3370.

    Article  CAS  Google Scholar 

  • Maij, D., van de Wetering, B., & Franken, I. (2017). Cognitive control in young adults with cannabis use disorder: An event-related brain potential study. Journal of Psychopharmacology, 31(8), 1015–1026. https://doi.org/10.1177/0269881117719262

    Article  PubMed  Google Scholar 

  • Minhas, M., Murphy, C. M., Balodis, I. M., Acuff, S. F., Buscemi, J., Murphy, J. G., & MacKillop, J. (2021). Multidimensional elements of impulsivity as shared and unique risk factors for food addiction and alcohol misuse. Appetite, 159, 105052.

    Article  PubMed  Google Scholar 

  • Nakata, H., Inui, K., Wasaka, T., Tamura, Y., Akatsuka, K., Kida, T., & Kakigi, R. (2006). Higher anticipated force required a stronger inhibitory process in go/nogo tasks. Clinical Neurophysiology, 117, 1669–1676.

    Article  PubMed  Google Scholar 

  • NCD Risk Factor Collaboration. (2017). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: A pooled analysis of 2416 population-based measurement studies in 128· 9 million children, adolescents, and adults. Lancet, 390, 2627–2642.

    Article  Google Scholar 

  • Nederkoorn, C., Smulders, F. T., Havermans, R. C., Roefs, A., & Jansen, A. (2006). Impulsivity in obese women. Appetite, 47(2), 253–256. https://doi.org/10.1016/j.appet.2006.05.008

    Article  PubMed  Google Scholar 

  • Nuttall, F. Q. (2015). Body mass index: Obesity, BMI, and health: A critical review. Nutrition Today, 50, 117–128.

    Article  PubMed  PubMed Central  Google Scholar 

  • Obadeji, A., Oluwole, L. O., Kumolalo, B. F., & Dada, M. U. (2022). Patterns of substance use disorders and associated co-occurring psychiatric morbidity among patients seen at the psychiatric unit of a tertiary health center. Addiction & Health, 14, 35.

    Google Scholar 

  • Observatorio Chileno de Drogas. (2019). Décimo tercer estudio nacional de drogas en población general de Chile. Ministerio del Interior y Seguridad Pública.

    Google Scholar 

  • Observatorio Chileno de Drogas. (2020). Décimo tercer estudio nacional de drogas en población escolar. Ministerio del Interior y Seguridad Pública.

    Google Scholar 

  • OEA-CICAD,. (2019). Informe sobre Uso de Drogas en las Américas, 2019. OAS Official Records Series; OEA Ser.L.

    Google Scholar 

  • Onis, M. D., Onyango, A. W., Borghi, E., Siyam, A., Nishida, C., & Siekmann, J. (2007). Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization, 85, 660–667.

    Article  PubMed  PubMed Central  Google Scholar 

  • Pauli-Pott, U., Albayrak, Ö., Hebebrand, J., & Pott, W. (2010). Association between inhibitory control capacity and body weight in overweight and obese children and adolescents: Dependence on age and inhibitory control component. Child Neuropsychology, 16, 592–603.

    Article  PubMed  Google Scholar 

  • Peacock, A., Leung, J., Larney, S., Colledge, S., Hickman, M., Rehm, J., Giovino, G. A., West, R., Hall, W., Griffiths, P., Ali, R., Gowing, L., Marsden, J., Ferrari, A. J., Grebely, J., Farrell, M., & Degenhardt, L. (2018). Global statistics on alcohol, tobacco and illicit drug use: 2017 status report. Addiction, 113(10), 1905–1926. https://doi.org/10.1111/add.14234

    Article  PubMed  Google Scholar 

  • Pope, H. G., Jr., Gruber, A. J., Hudson, J. I., Cohane, G., Huestis, M. A., & Yurgelun-Todd, D. (2003). Early-onset cannabis use and cognitive deficits: What is the nature of the association? Drug and Alcohol Dependence, 69, 303–310.

    Article  PubMed  Google Scholar 

  • Poudel, A., & Gautam, S. (2017). Age of onset of substance use and psychosocial problems among individuals with substance use disorders. BMC Psychiatry, 17, 1–7.

    Article  Google Scholar 

  • Ramírez, V., & Rosas, R. (2007). Estandarización del WISC-III en Chile: Descripción del test, estructura factorial y consistencia interna de las escalas. Psykhe, 16(1), 91–109.

    Article  Google Scholar 

  • Reyes, S., Peirano, P., Peigneux, P., Lozoff, B., & Algarin, C. (2015). Inhibitory control in otherwise healthy overweight 10-year-old children. International Journal of Obesity, 39, 1230–1235.

    Article  CAS  PubMed  Google Scholar 

  • Sher, I., Koenig, M., & Rustichini, A. (2014). Children’s strategic theory of mind. Proceedings of the National Academy of Sciences, 111, 13307–13312.

    Article  CAS  Google Scholar 

  • Smith, J. L., Johnstone, S. J., & Barry, R. J. (2008). Movement-related potentials in the Go/NoGo task: The P3 reflects both cognitive and motor inhibition. Clinical Neurophysiology, 119(3), 704–714. https://doi.org/10.1016/j.clinph.2007.11.042

    Article  PubMed  Google Scholar 

  • Smith, J. L., Mattick, R. P., Jamadar, S. D., & Iredale, J. M. (2014). Deficits in behavioural inhibition in substance abuse and addiction: A meta-analysis. Drug and Alcohol Dependence, 145, 1–33.

    Article  PubMed  Google Scholar 

  • Substance Abuse and Mental Health Services Administration. (2014). The TEDS Report: Age of substance use initiation among treatment admissions aged 18 to 30. Center for Behavioral Health Statistics and Quality.

    Google Scholar 

  • Subodh, B. N., Sahoo, S., Basu, D., & Mattoo, S. K. (2019). Age of onset of substance use in patients with dual diagnosis and its association with clinical characteristics, risk behaviors, course, and outcome: A retrospective study. Indian Journal of Psychiatry, 61, 359.

    Article  PubMed  PubMed Central  Google Scholar 

  • Sunwoo, Y. K., Bae, J. N., Hahm, B. J., Lee, D. W., Park, J. I., Cho, S. J., … & Cho, M. J. (2011). Relationships of mental disorders and weight status in the Korean adult population. Journal of Korean Medical Science, 26, 108–115.

  • Thomsen, K. R., Osterland, T. B., Hesse, M., & Ewing, S. W. F. (2018). The intersection between response inhibition and substance use among adolescents. Addictive Behaviors, 78, 228–230.

    Article  Google Scholar 

  • Toseeb, U., McChesney, G., Oldfield, J., & Wolke, D. (2020). Sibling bullying in middle childhood is associated with psychosocial difficulties in early adolescence: The case of individuals with autism spectrum disorder. Journal of Autism and Developmental Disorders, 50, 1457–1469.

    Article  PubMed  Google Scholar 

  • Toseeb, U., McChesney, G., & Wolke, D. (2018). The prevalence and psychopathological correlates of sibling bullying in children with and without autism spectrum disorder. Journal of Autism and Developmental Disorders, 48, 2308–2318.

    Article  PubMed  PubMed Central  Google Scholar 

  • Vainik, U., Misic, B., Zeighami, Y., Michaud, A., Mõttus, R., & Dagher, A. (2020). Obesity has limited behavioural overlap with addiction and psychiatric phenotypes. Nature Human Behaviour, 4(1), 27–35. https://doi.org/10.1038/s41562-019-0752-x

    Article  PubMed  Google Scholar 

  • Van Noordt, S. J. R., & Segalowitz, S. J. (2012). Performance monitoring and the medial prefrontal cortex: A review of individual differences and context effects as a window on self-regulation. Frontiers in Human Neuroscience, 6,. https://doi.org/10.3389/fnhum.2012.00197

  • Vassileva, J., & Conrod, P. J. (2019). Impulsivities and addictions: A multidimensional integrative framework informing assessment and interventions for substance use disorders. Philosophical Transactions of the Royal Society B, 374, 20180137.

    Article  Google Scholar 

  • Vergés, A., Littlefield, A. K., Arriaza, T., & Alvarado, M. E. (2019). Impulsivity facets and substance use initiation: A comparison of two models of impulsivity. Addictive Behaviors, 88, 61–66. https://doi.org/10.1016/j.addbeh.2018.08.018

    Article  PubMed  Google Scholar 

  • Vohs, K. D., & Baumeister, R. F. (Eds.). (2016). Handbook of self-regulation: Research, theory, and applications. Guilford Publications, Impulsivity as a personal trait (pp. 346). New York, DeYoung & Rueter.

  • Wang, J., Wang, H., Yu, H., Wang, J., Guo, X., Tong, S., Bao, Y., & Hong, X. (2022). Neural mechanisms of inhibitory control deficits in obesity revealed by P3 but not N2 event-related potential component. Appetite., 171, 105908. https://doi.org/10.1016/j.appet.2021.105908

    Article  PubMed  Google Scholar 

  • Wong, M. M., Brower, K. J., Nigg, J. T., & Zucker, R. A. (2010). Childhood sleep problems, response inhibition, and alcohol and drug outcomes in adolescence and young adulthood. Alcoholism: Clinical and Experimental Research, 34, 1033–1044.

    Article  Google Scholar 

  • Wright, L., Lipszyc, J., Dupuis, A., Thayapararajah, S. W., & Schachar, R. (2014). Response inhibition and psychopathology: A meta-analysis of go/no-go task performance. Journal of Abnormal Psychology, 123, 429–439.

    Article  PubMed  Google Scholar 

  • Yang, Y., Shields, G. S., Guo, C., & Liu, Y. (2018). Executive function performance in obesity and overweight individuals: A meta-analysis and review. Neuroscience & Biobehavioral Reviews, 84, 225–244.

    Article  Google Scholar 

  • Yeomans, M. R., & Brace, A. (2015). Cued to act on impulse: More impulsive choice and risky decision making by women susceptible to overeating after exposure to food stimuli. PLoS ONE, 10, e0137626.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This research was supported by the MECESUP grant PUC 1566 to María Estela Andrés, Fondecyt Nº 1201679 to Alvaro Vergés, and JUNAEB (National Board of School Aid and Scholarships). These funding sources had no role in any stage of manuscript development.

Author information

Authors and Affiliations

  1. Escuela de Psicología, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile

    Catherine I. Andreu, Alberto Cuevas, Marcelo Malbec & Alvaro Vergés

  2. Polibienestar Institute, University of Valencia, Valencia, Spain

    Catherine I. Andreu

  3. Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Marcelo Malbec

  4. Instituto de Nutrición Y Tecnología de los Alimentos (INTA), Santiago, Chile

    Miguel Cordero

  5. Faculty of Chemistry and Pharmacy, Department of Pharmacy and Interdisciplinary Center of Neuroscience, Pontificia Universidad Católica de Chile, Santiago, Chile

    José Antonio Fuentealba

  6. Escuela de Psicología, Universidad de los Andes, Santiago, Chile

    Alvaro Vergés

Authors
  1. Catherine I. Andreu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alberto Cuevas
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marcelo Malbec
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Miguel Cordero
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. José Antonio Fuentealba
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Alvaro Vergés
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alvaro Vergés.

Ethics declarations

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Andreu, C.I., Cuevas, A., Malbec, M. et al. Diminished Inhibitory Control in Adolescents with Overweight and/or Substance Use: an ERP Study. Int J Ment Health Addiction (2022). https://doi.org/10.1007/s11469-022-00922-x

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11469-022-00922-x

Keywords

Search

Navigation