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International Journal of Mental Health and Addiction

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14.01.2022 | Brief Report

Food Addiction Features Are Related to Worse Academic Performance in Adolescents

verfasst von: Cristina Reche-García, Pablo Sánchez Martínez, Magdalena Gómez Díaz, Daniel Guillén-Martínez, Isabel Morales-Moreno, Juan José Hernández Morante

Erschienen in: International Journal of Mental Health and Addiction | Ausgabe 4/2023

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Although it has not yet been included in the Diagnostic Manual of Mental Disorders (DSM-V) (Cooper, 2014), there is still a debate about the real significance of food addiction (FA), both as an independent mental disorder or as an addictive behavior (Lemeshow et al., 2016). To differentiate between a pleasantness and an addictive conduct, it is necessary a loss of control associated with such conduct, which is maintained despite negative consequences (Wise & Koob, 2014). Therefore, FA was defined as hedonic eating behavior involving the consumption of highly palatable foods in quantities beyond homeostatic energy requirements (Gold & Shriner, 2013). An important question arises from these statements, and that is, can certain foods take over the brain in ways like drugs of abuse and alcohol? …

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Alloway, T. P., & Alloway, R. G. (2010). Investigating the predictive roles of working memory and IQ in academic attainment. Journal of Experimental Child Psychology, 106(1), 20–29. https://doi.org/10.1016/j.jecp.2009.11.003CrossRefPubMed

Anderson, A. S., & Good, D. J. (2017). Increased body weight affects academic performance in university students. Preventive Medicine Reports, 5, 220–223. https://doi.org/10.1016/j.pmedr.2016.12.020CrossRefPubMed

Avena, N. M., Rada, P., & Hoebel, B. G. (2008). Evidence for sugar addiction: Behavioral and neurochemical effects of intermittent, excessive sugar intake. In Neuroscience and Biobehavioral Reviews, 32(1), 20–39. https://doi.org/10.1016/j.neubiorev.2007.04.019CrossRef

Bergen, H. A., Martin, G., Roeger, L., & Allison, S. (2005). Perceived academic performance and alcohol, tobacco and marijuana use: Longitudinal relationships in young community adolescents. Addictive Behaviors, 30(8), 1563–1573. https://doi.org/10.1016/j.addbeh.2005.02.012CrossRefPubMed

Berridge, K. C., Ho, C. Y., Richard, J. M., & Difeliceantonio, A. G. (2010). The tempted brain eats: Pleasure and desire circuits in obesity and eating disorders. In Brain Research, 1350, 43–64. https://doi.org/10.1016/j.brainres.2010.04.003CrossRef

Best, J. R., Miller, P. H., & Naglieri, J. A. (2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and Individual Differences, 21(4), 327–336. https://doi.org/10.1016/j.lindif.2011.01.007CrossRefPubMedPubMedCentral

Bjørnebekk, A., Westlye, L. T., Walhovd, K. B., Jørstad, M. L., Sundseth, Ø., & Fjell, A. M. (2019). Cognitive performance and structural brain correlates in long-term anabolic-androgenic steroid exposed and nonexposed weightlifters. Neuropsychology, 33(4), 547–559. https://doi.org/10.1037/neu0000537

Boitard, C., Parkes, S. L., Cavaroc, A., Tantot, F., Castanon, N., Layé, S., Tronel, S., Pacheco-Lopez, G., Coutureau, E., & Ferreira, G. (2016). Switching adolescent high-fat diet to adult control diet restores neurocognitive alterations. Frontiers in Behavioral Neuroscience, 10(NOV), 225. https://doi.org/10.3389/fnbeh.2016.00225

Bray, J. W., Zarkin, G. A., Ringwalt, C., & Junfeng, Q. (2000). The relationship between marijuana initiation and dropping out of high school. Health Economics, 9(1), 9–18.CrossRefPubMed

Brook, J. S., Stimmel, M. A., Zhang, C., & Brook, D. W. (2008). The association between earlier marijuana use and subsequent academic achievement and health problems: A longitudinal study. American Journal on Addictions, 17(2), 155–160. https://doi.org/10.1080/10550490701860930CrossRefPubMed

Bugbee, B. A., Beck, K. H., Fryer, C. S., & Arria, A. M. (2019). Substance use, academic performance, and academic engagement among high school seniors. Journal of School Health, 89(2), 145–156. https://doi.org/10.1111/josh.12723CrossRefPubMed

Chambers, R. A., Taylor, J. R., & Potenza, M. N. (2003). Developmental neurocircuitry of motivation in adolescence: A critical period of addiction vulnerability. In American Journal of Psychiatry, 160(6), 1041–1052. https://doi.org/10.1176/appi.ajp.160.6.1041CrossRef

Chen, R., Clifford, A., Lang, L., & Anstey, K. J. (2013). Is exposure to secondhand smoke associated with cognitive parameters of children and adolescents?-A systematic literature review. In Annals of Epidemiology, 23(10), 652–661. https://doi.org/10.1016/j.annepidem.2013.07.001CrossRef

Cooper, R. (2014). Diagnosing the Diagnostic and Statistical Manual of Mental Disorders: Fifth Edition. Karnac Books. https://books.google.es/books?id=3O6KAwAAQBAJ

Franken, I. H. A., Nijs, I. M. T., Toes, A., & van der Veen, F. M. (2018). Food addiction is associated with impaired performance monitoring. Biological Psychology, 131, 49–53. https://doi.org/10.1016/j.biopsycho.2016.07.005CrossRefPubMed

Gainey, S. J., Kwakwa, K. A., Bray, J. K., Pillote, M. M., Tir, V. L., Towers, A. E., & Freund, G. G. (2016). Short-term high-fat diet (HFD) induced anxiety-like behaviors and cognitive impairment are improved with treatment by glyburide. Frontiers in Behavioral Neuroscience, 10(AUG), 156. https://doi.org/10.3389/fnbeh.2016.00156

Garrison, K. A., Yip, S. W., Balodis, I. M., Carroll, K. M., Potenza, M. N., & Krishnan-Sarin, S. (2017). Reward-related frontostriatal activity and smoking behavior among adolescents in treatment for smoking cessation. Drug and Alcohol Dependence, 177, 268–276. https://doi.org/10.1016/j.drugalcdep.2017.03.035CrossRefPubMedPubMedCentral

Gearhardt, A. N., Corbin, W. R., & Brownell, K. D. (2009). Preliminary validation of the Yale Food Addiction Scale. Appetite, 52(2), 430–436. https://doi.org/10.1016/j.appet.2008.12.003CrossRefPubMed

Gearhardt, A. N., Roberto, C. A., Seamans, M. J., Corbin, W. R., & Brownell, K. D. (2013). Preliminary validation of the Yale Food Addiction Scale for children. Eating Behaviors, 14(4), 508–512. https://doi.org/10.1016/j.eatbeh.2013.07.002CrossRefPubMed

Gold, M. S., & Shriner, R. L. 2013 Food Addictions Principles of Addiction 787–795 https://doi.org/10.1016/B978-0-12-398336-7.00079-6

Golden, N. H., Schneider, M., Wood, C., COMMITTEE ON NUTRITION, COMMITTEE ON ADOLESCENCE, & SECTION ON OBESITY 2016 Preventing obesity and eating disorders in adolescents Pediatrics 138 3 e20161649 e20161649 https://doi.org/10.1542/peds.2016-1649

Gouzoulis-Mayfrank, E., & Daumann, J. (2009). Neurotoxicity of drugs of abuse - The case of methylenedioxyamphetamines (MDMA, ecstasy), and amphetamines. In Dialogues in Clinical Neuroscience, 11(3), 305–317. https://doi.org/10.31887/dcns.2009.11.3/egmayfrankCrossRef

Granero, R., Hilker, I., Agüera, Z., Jiménez-Murcia, S., Sauchelli, S., Islam, M. A., et al. (2014). Food addiction in a Spanish sample of eating disorders: DSM-5 diagnostic subtype differentiation and validation data. European Eating Disorders Review, 22(6), 389–396. https://doi.org/10.1002/erv.2311CrossRefPubMed

Grant, J. E., Lust, K., & Chamberlain, S. R. (2019). Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity. Journal of Behavioral Addictions, 8(2), 335–342. https://doi.org/10.1556/2006.8.2019.32CrossRefPubMedPubMedCentral

Hauck, C., Cook, B., & Ellrott, T. (2020). Food addiction, eating addiction and eating disorders. Proceedings of the Nutrition Society, 79(1), 103–112. https://doi.org/10.1017/S0029665119001162CrossRefPubMed

Huang, H., & Leung, L. (2009). Instant messaging addiction among teenagers in China: Shyness, alienation, and academic performance decrement. Cyberpsychology and Behavior, 12(6), 675–679. https://doi.org/10.1089/cpb.2009.0060CrossRefPubMed

Lemeshow, A. R., Gearhardt, A. N., Genkinger, J. M., & Corbin, W. R. (2016). Assessing the psychometric properties of two food addiction scales. Eating Behaviors, 23, 110–114. https://doi.org/10.1016/j.eatbeh.2016.08.005CrossRefPubMedPubMedCentral

Markus, C. R., Rogers, P. J., Brouns, F., & Schepers, R. (2017). Eating dependence and weight gain; No human evidence for a ‘sugar-addiction’ model of overweight. Appetite, 114, 64–72. https://doi.org/10.1016/j.appet.2017.03.024CrossRefPubMed

Olszewski, P. K., Wood, E. L., Klockars, A., & Levine, A. S. (2019). Excessive consumption of sugar: An insatiable drive for reward. In Current Nutrition Reports, 8(2), 120–128. https://doi.org/10.1007/s13668-019-0270-5CrossRef

Øverby, N. C., Lüdemann, E., & Høigaard, R. (2013). Self-reported learning difficulties and dietary intake in Norwegian adolescents. Scandinavian Journal of Public Health, 41(7), 754–760. https://doi.org/10.1177/1403494813487449CrossRefPubMed

Pal, K., Mukadam, N., Petersen, I., & Cooper, C. (2018). Mild cognitive impairment and progression to dementia in people with diabetes, prediabetes and metabolic syndrome: A systematic review and meta-analysis. In Social Psychiatry and Psychiatric Epidemiology, 53(11), 1149–1160. https://doi.org/10.1007/s00127-018-1581-3CrossRef

Peng-Li, D., Sørensen, T. A., Li, Y., & He, Q. (2020). Systematically lower structural brain connectivity in individuals with elevated food addiction symptoms. Appetite, 155(May). https://doi.org/10.1016/j.appet.2020.104850

Peng, Y., Gillis-Smith, S., Jin, H., Tränkner, D., Ryba, N. J. P., & Zuker, C. S. (2015). Sweet and bitter taste in the brain of awake behaving animals. Nature, 527(7579), 512–515. https://doi.org/10.1038/nature15763CrossRefPubMedPubMedCentral

Pursey, K. M., Collins, C. E., Stanwell, P., & Burrows, T. L. (2015). Foods and dietary profiles associated with “food addiction” in young adults. Addictive Behaviors Reports, 2, 41–48. https://doi.org/10.1016/j.abrep.2015.05.007CrossRefPubMedPubMedCentral

Schulte, E. M., Avena, N. M., & Gearhardt, A. N. (2015). Which foods may be addictive? The roles of processing, fat content, and glycemic load. PLoS ONE, 10(2):e0117959. https://doi.org/10.1371/journal.pone.0117959

Schulte, E. M., Sonneville, K. R., & Gearhardt, A. N. (2019). Subjective experiences of highly processed food consumption in individuals with food addiction. Psychology of Addictive Behaviors, 33(2), 144–153. https://doi.org/10.1037/adb0000441CrossRefPubMed

Swami, V., Begum, S., & Petrides, K. V. (2010). Associations between trait emotional intelligence, actual-ideal weight discrepancy, and positive body image. Personality and Individual Differences, 49(5), 485–489. https://doi.org/10.1016/j.paid.2010.05.009CrossRef

Vijayakumar, N., Op de Macks, Z., Shirtcliff, E. A., & Pfeifer, J. H. (2018). Puberty and the human brain: Insights into adolescent development. In Neuroscience and Biobehavioral Reviews, 92, 417–436. https://doi.org/10.1016/j.neubiorev.2018.06.004CrossRef

Wise, R. A., & Koob, G. F. (2014). The development and maintenance of drug addiction. Neuropsychopharmacology, 39(2), 254–262. https://doi.org/10.1038/npp.2013.261CrossRefPubMed

Yamada, M., Sekine, M., Tatsuse, T., & Asaka, Y. (2019). Association between lifestyle, parental smoke, socioeconomic status, and academic performance in Japanese elementary school children: The Super Diet Education Project. Environmental Health and Preventive Medicine, 24(1). https://doi.org/10.1186/s12199-019-0776-x

Yates, K. F., Sweat, V., Yau, P. L., Turchiano, M. M., & Convit, A. (2012). Impact of metabolic syndrome on cognition and brain: A selected review of the literature. Arteriosclerosis, Thrombosis, and Vascular Biology, 32(9), 2060–2067. https://doi.org/10.1161/ATVBAHA.112.252759CrossRefPubMedPubMedCentral

Titel: Food Addiction Features Are Related to Worse Academic Performance in Adolescents
verfasst von: Cristina Reche-García
Pablo Sánchez Martínez
Magdalena Gómez Díaz
Daniel Guillén-Martínez
Isabel Morales-Moreno
Juan José Hernández Morante
Publikationsdatum: 14.01.2022
Verlag: Springer US
Erschienen in: International Journal of Mental Health and Addiction / Ausgabe 4/2023
Print ISSN: 1557-1874
Elektronische ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-021-00724-7

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