2021, Número 2
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Rev Neurol Neurocir Psiquiat 2021; 49 (2)
Trastorno de adicción a Internet y comorbilidades en niños y adolescentes
Bakhtadze S, Kvachadze I, Khachapuridze N, Nadiradze T
Idioma: Ingles.
Referencias bibliográficas: 50
Paginas: 57-65
Archivo PDF: 173.24 Kb.
RESUMEN
Introducción: El trastorno de adicción a Internet (TAI) se caracteriza por la incapacidad de un individuo para controlar su uso de Internet, lo que puede dar lugar a un marcado malestar y a un deterioro funcional. Las revisiones sistemáticas muestran que el exceso de tiempo frente a la pantalla se asocia negativamente con el bienestar y positivamente con la reducción de la calidad de vida en los jóvenes. Cada vez hay más pruebas de que el TAI está relacionado con comorbilidades como la depresión, pero se sabe relativamente poco sobre la fatiga en los adolescentes con TAI.
Material y métodos: Se estudiaron 94 participantes con TAI y 88 controles, todos ellos de 12 a 17 años de edad. La depresión se evaluó con la escala del inventario de depresión de Beck (BDI-II, versión georgiana), y la fatiga con la escala de fatiga multidimensional de la iniciativa de calidad de vida pediátrica (PEDS QL, versión georgiana).
Resultados: Los adolescentes con TAI grave tienen 5.63 veces más probabilidades de mostrar síntomas de depresión moderada o grave que los niños con adicción a Internet leve o moderada. Los niños con adicción grave a Internet mostraron 6.62 veces más fatiga cognitiva, 7.81 veces más fatiga de sueño/descanso y 11.11 veces más fatiga general que los niños con adicción leve y moderada a Internet.
Conclusiones: El TAI puede provocar depresión y fatiga, lo que puede afectar al bienestar psicológico y social de los adolescentes. Se necesitan mecanismos de prevención y apoyo continuo para los adolescentes y sus familias. Se necesitan más investigaciones para aclarar la relación entre el TAI y la depresión, es decir, ¿la adicción a Internet conduce a la depresión o la depresión en sí misma es un factor de riesgo para el TAI? Otra limitación es que el TAI se trató como una sola entidad en lugar de dos tipos distintos (TAI generalizado y específico).
REFERENCIAS (EN ESTE ARTÍCULO)
Aboujaoude E. Problematic Internet use: an overview. World Psychiatry. 2010; 9 (2): 85-90.
Kratzer S, Hegerl U. Is "Internet Addiction" a disorder of its own?--a study on subjects with excessive internet use. Psychiatr Prax. 2008; 35 (2): 80-83.
Grant JE, Potenza MN, Weinstein A, Gorelick DA. Introduction to behavioral addictions. Am J Drug Alcohol Abuse. 2010; 36 (5): 233-241.
American Society of Addiction Medicine. Public policy statement: definition of addiction. 2011 [Accessed 21 August 2011].
Dell'Osso B, Altamura AC, Allen A, Marazziti D, Hollander E. Epidemiologic and clinical updates on impulse control disorders: a critical review. Eur Arch Psychiatry Clin Neurosci. 2006; 256 (8): 464-475.
Hollander E, Sten DJ. Clinical manual of impulse-control disorders. Arlington, VA: American Psychiatric Publishing; 2006.
Block JJ. Issues for DSM-V: internet addiction. Am J Psychiatry. 2008; 165 (3): 306-307.
Clarke D. Impulsiveness, locus of control, motivation and problem gambling. J Gambl Stud. 2004; 20 (4): 319-345.
Oei TP, Raylu N. Familial influence on offspring gambling: a cognitive mechanism for transmission of gambling behavior in families. Psychol Med. 2004; 34 (7): 1279-1288.
Lam LT. Parental mental health and Internet Addiction in adolescents. Addict Behav. 2015; 42: 20-23.
Montag C, Reuter M. Internet addiction: neuroscientific approaches and therapeutical interventions. Switzerland: Springer International Publishing; 2015.
Liu J, Gao XP, Osunde I, Li X, Zhou SK, Zheng HR et al. Increased regional homogeneity in internet addiction disorder: a resting state functional magnetic resonance imaging study. Chin Med J (Engl). 2010; 123 (14): 1904-1908.
Zhou Y, Lin FC, Du YS, Qin LD, Zhao ZM, Xu JR et al. Gray matter abnormalities in Internet addiction: a voxel-based morphometry study. Eur J Radiol. 2011; 79 (1): 92-95.
Weng CB, Qian RB, Fu XM, Lin B, Han XP, Niu CS et al. Gray matter and white matter abnormalities in online game addiction. Eur J Radiol. 2013; 82 (8): 1308-1312.
Anderson CA, Funk JB, Griffiths MD. Contemporary issues in adolescent video game playing: brief overview and introduction to the special issue. J Adolesc. 2004; 27 (1): 1-3.
Costigan SA, Barnett L, Plotnikoff RC, Lubans DR. The health indicators associated with screen-based sedentary behavior among adolescent girls: a systematic review. J Adolesc Health. 2013; 52 (4): 382-392.
Babic MJ, Smith JJ, Morgan PJ, Eather N, Plotnikoff RC, Lubans DR. Longitudinal associations between changes in screen-time and mental health outcomes in adolescents. Ment Health Phys Act. 2017; 12: 124-131.
Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Prev Med Rep. 2018; 12: 271-283.
King DL, Delfabbro PH, Zwaans T, Kaptsis D. Clinical features and axis I comorbidity of Australian adolescent pathological Internet and video game users. Aust N Z J Psychiatry. 2013; 47 (11): 1058-1067.
Brunborg GS, Mentzoni RA, Froyland LR. Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems? J Behav Addict. 2014; 3 (1): 27-32.
Bargeron AH, Hormes JM. Psychosocial correlates of internet gaming disorder: psychopathology, life satisfaction, and impulsivity. Comput Hum Behav. 2017; 68: 388-394.
Lindenberg K, Kindt S, Szasz-Janocha C. Internet addiction in adolescents. Switzerland: Springer Nature; 2020.
Hare BD, Duman RS. Prefrontal cortex circuits in depression and anxiety: contribution of discrete neuronal populations and target regions. Mol Psychiatry. 2020; 25 (11): 2742-2758.
Sariyska R, Reuter M, Lachmann B, Montag C. Attention deficit/ hyperactivity disorder is a better predictor for problematic internet use than depression: evidence from Germany. J Addict Res Ther. 2015; 6: 209.
Chaudhuri A, Behan PO. Fatigue in neurological disorders. Lancet. 2004; 363 (9413): 978-988.
Gavelin HM, Neely AS, Dunas T, Eskilsson T, Jarvholm LS, Boraxbekk CJ. Mental fatigue in stress-related exhaustion disorder: Structural brain correlates, clinical characteristics and relations with cognitive functioning. Neuroimage Clin. 2020; 27: 102337.
Krabbe D, Ellbin S, Nilsson M, Jonsdottir IH, Samuelsson H. Executive function and attention in patients with stress-related exhaustion: perceived fatigue and effect of distraction. Stress. 2017; 20 (4): 333-340.
Oosterholt BG, Maes JH, Van der Linden D, Verbraak MJ, Kompier MA. Cognitive performance in both clinical and non-clinical burnout. Stress. 2014; 17 (5): 400-409.
van Dam A, Keijsers GP, Eling PA, Becker ES. Testing whether reduced cognitive performance in burnout can be reversed by a motivational intervention. Work & Stress. 2011; 25 (3): 257-271.
Young KS. Internet addiction: the emergence of a new clinical disorder. CyberPsychology & Behavior. 1998; 1 (3): 237-244.
Varni JW, Seid M, Rode CA. The PedsQL: measurement model for the pediatric quality of life inventory. Med Care. 1999; 37 (2): 126-139.
Chan RC, Shum D, Toulopoulou T, Chen EY. Assessment of executive functions: review of instruments and identification of critical issues. Arch Clin Neuropsychol. 2008; 23 (2): 201-216.
Savitz J, Drevets WC. Bipolar and major depressive disorder: neuroimaging the developmental-degenerative divide. Neurosci Biobehav Rev. 2009; 33 (5): 699-771.
Chaudhuri A, Behan PO. Fatigue and basal ganglia. J Neurol Sci. 2000; 179 (S1-2): 34-42.
Smith C. Elements of molecular neurobiology. Chichester: John Wiley; 2002.
Dedovic K, Duchesne A, Andrews J, Engert V, Pruessner JC. The brain and the stress axis: the neural correlates of cortisol regulation in response to stress. Neuroimage. 2009; 47 (3): 864-8671.
Weinstein A, Lejoyeux M. New developments on the neurobiological and pharmaco-genetic mechanisms underlying internet and videogame addiction. Am J Addict. 2015; 24 (2): 117-125.
Yuan K, Qin W, Wang G, Zeng F, Zhao L, Yang X et al. Microstructure abnormalities in adolescents with internet addiction disorder. PLoS One. 2011; 6 (6): e20708.
Young K. Caught in the net: how to recognize the signs of Internet addiction – And a winning strategy for recovery. New York, NY: John Wiley & Sons, Inc; 1998.
Chun JW, Choi J, Cho H, Choi MR, Ahn KJ, Choi JS et al. Role of frontostriatal connectivity in adolescents with excessive smartphone use. Front Psychiatry. 2018; 9: 437.
Arnsten AF, Raskind MA, Taylor FB, Connor DF. The effects of stress exposure on prefrontal cortex: translating basic research into successful treatments for post-traumatic stress disorder. Neurobiol Stress. 2015; 1: 89-99.
Pruessner JC, Dedovic K, Khalili-Mahani N, Engert V, Pruessner M, Buss C et al. Deactivation of the limbic system during acute psychosocial stress: evidence from positron emission tomography and functional magnetic resonance imaging studies. Biol Psychiatry. 2008; 63 (2): 234-240.
Holtzer R, Shuman M, Mahoney JR, Lipton R, Verghese J. Cognitive fatigue defined in the context of attention networks. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2011; 18 (1): 108-128.
Guo Z, Chen R, Liu X, Zhao G, Zheng Y, Gong M et al. The impairing effects of mental fatigue on response inhibition: An ERP study. PLoS One. 2018; 13 (6): e0198206.
Swick D, Ashley V, Turken AU. Left inferior frontal gyrus is critical for response inhibition. BMC Neurosci. 2008; 9: 102.
Kuhn S, Romanowski A, Schilling C, Lorenz R, Morsen C, Seiferth N et al. The neural basis of video gaming. Transl Psychiatry. 2011; 1 (11): e53.
Schlagenhauf F, Sterzer P, Schmack K, Ballmaier M, Rapp M, Wrase J et al. Reward feedback alterations in unmedicated schizophrenia patients: relevance for delusions. Biol Psychiatry. 2009; 65 (12): 1032-1039.
Thanos PK, Wang GJ, Volkow ND. Positron emission tomography as a tool for studying alcohol abuse. Alcohol Res Health. 2008; 31 (3): 233-237.
Park HS, Kim SH, Bang SA, Yoon EJ, Cho SS, Kim SE. Altered regional cerebral glucose metabolism in internet game overusers: a 18F-fluorodeoxyglucose positron emission tomography study. CNS Spectr. 2010; 15 (3): 159-166.
Cai W, Ryali S, Chen T, Li CS, Menon V. Dissociable roles of right inferior frontal cortex and anterior insula in inhibitory control: evidence from intrinsic and task-related functional parcellation, connectivity, and response profile analyses across multiple datasets. J Neurosci. 2014; 34 (44): 14652-14667.