El círculo vicioso del aburrimiento y el scrolling: una revisión sistemática sobre el uso problemático de vídeos cortos en población joven
DOI:
https://doi.org/10.64492/v8svyw45Palabras clave:
aburrimiento, adolescentes, cognición, jóvenes, redes sociales, psicología, regulación emocional, scrolling, vídeos cortosResumen
Introducción: El uso problemático de plataformas de vídeos cortos entre jóvenes es una preocupación creciente en salud pública. El aburrimiento, definido como un estado desagradable asociado a la falta de interés, emerge teóricamente como un desencadenante clave, pero se desconoce su papel específico en la dinámica de scrolling y sus consecuencias. Objetivos: Esta revisión sistemática tiene como objetivo sintetizar evidencia sobre el papel del aburrimiento en el consumo de redes, el uso problemático y las consecuencias cognitivas, emocionales y conductuales del consumo de vídeos cortos en adolescentes y jóvenes adultos (12-25 años). Método: La revisión incluyó una búsqueda en las siguientes bases de datos académicas: PubMed, PsycINFO, Scopus y SciELO. Se incluyeron veintidós estudios empíricos publicados desde 2017 en inglés o español, que evaluaran la relación entre aburrimiento (rasgo o estado) y el uso de estas plataformas. Resultados: Los resultados muestran que la tendencia al aburrimiento predice de manera consistente un mayor uso problemático y adicción a los vídeos cortos. Este suele estar mediado por mecanismos como el miedo a perderse algo (FoMO), la desregulación emocional, los sesgos atencionales y la reducción del autocontrol. El scrolling pasivo impulsado por aburrimiento se asocia con déficits atencionales, mayor procrastinación académica, peor rendimiento educativo, y síntomas más elevados de depresión y ansiedad. Además, se identificaron diferencias demográficas: las adolescentes presentan mayor riesgo de uso prolongado, y la etapa de bachillerato es de máxima vulnerabilidad. En cambio, el uso activo (creación de contenido) se vinculó con mejor bienestar. Conclusiones: El aburrimiento es un factor de riesgo psicológico central que impulsa un ciclo vicioso de uso problemático de vídeos cortos en jóvenes. Su efecto actúa a través de múltiples mecanismos afectivos y cognitivos, y se asocia con consecuencias negativas significativas, especialmente cuando el uso es pasivo y evasivo. Los hallazgos destacan la necesidad de intervenciones que fomenten la regulación emocional y un uso consciente de la tecnología, más que centrarse únicamente en el tiempo de pantalla. La evidencia está limitada por el predominio de estudios transversales y un sesgo geográfico hacia Asia.
Referencias
Alruwaili, R. F. (2025). Scroll immersion and short-form video use: Predictors of attention, memory, and fatigue among Saudi social media users. Acta Psychologica, 260, 105674. https://doi.org/10.1016/j.actpsy.2025.105674
Al-Samarraie, H., Bello, K. A., Alzahrani, A.I., Smith, A. P., & Emele, C. (2022). Young users’ social media addiction: causes, consequences and preventions. Information Technology & People, 35(7), 2314-2343. https://doi.org/10.1108/ITP-11-2020-0753
Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252–262. https://doi.org/10.1037/adb0000160
Arslan, G., & Coşkun, M. (2022). Social exclusion, self-forgiveness, mindfulness, and internet addiction in university students: A moderated mediation approach. International Journal of Mental Health and Addiction, 20(4), 2165–2179. https://doi.org/10.1007/s11469-021-00506-1
Baltaci, Ö., & Açar, I. (2025). Does leisure boredom predict short video addiction in adolescents? Psychiatric Quarterly. https://doi.org/10.1007/s11126-025-10172-4
Bhandari, A., & Bimo, S. (2020). TikTok and the algorithmized self: A new model of online interaction. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2020i0.11172
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y
Brand, C., Fochesatto, C. F., & Gaya, A. R. (2024). Scrolling through adolescence: Unveiling the relationship of the use of social networks and its addictive behavior with psychosocial health. Child and Adolescent Psychiatry and Mental Health, 18, Article 107. https://doi.org/10.1186/s13034-024-00805-0
Camerini, A.-L., Morlino, S., & Marciano, L. (2023). Boredom and digital media use: A systematic review and meta-analysis. Computers in Human Behavior Reports, 10, 100313. https://doi.org/10.1016/j.chbr.2023.100313
Cannito, L., Ceccato, I., Annunzi, E., Bortolotti, A., D’Intino, E., Palumbo, R., D’Addario, C., & Di Domenico, A. (2023). Bored with boredom? Trait boredom predicts internet addiction through the mediating role of attentional bias toward social networks. Frontiers in Human Neuroscience, 17, 1179142. https://doi.org/10.3389/fnhum.2023.1179142
Chao, M., Lei, J., He, R., Jiang, Y., & Yang, H. (2023). TikTok use and psychosocial factors in adolescents: Comparisons among non-users, moderate users, and addictive users. Psychiatry Research, 325, 115247. https://doi.org/10.1016/j.psychres.2023.115247
Chen, J., Yao, N., & Elhai, J. D. (2025). From active users to passive watchers: Profiles of TikTok engagement and mental health predictors. Addictive Behaviors, 173, 108552. https://doi.org/10.1016/j.addbeh.2025.108552
Dahlen, E. R., Martin, R. C., Ragan, K., & Kuhlman, M. M. (2004). Boredom proneness in anger and aggression: Effects of impulsiveness and sensation seeking. Personality and Individual Differences, 37(8), 1615–1627. https://doi.org/10.1016/j.paid.2004.02.016
Conte, G., Di Iorio, G., Esposito, D., Romano, S., Panvino, F., Maggi, S., Altomonte, B., Casini, M. P., Ferrara, M., & Terrinoni, A. (2025). Scrolling through adolescence: A systematic review of the impact of TikTok on adolescent mental health. European Child & Adolescent Psychiatry, 34(5), 1511–1527. https://doi.org/10.1007/s00787-024-02581-w
De D., El Jamal, M., Aydemir, E., & Khera, A. (2025). Social media algorithms and teen addiction: Neurophysiological impact and ethical considerations. Cureus, 17(1), e77145. https://doi.org/10.7759/cureus.77145
Ding, J., Hu, Z., Zuo, Y., & Xu, Y. (2024). The relationships between short-form video addiction, subjective well-being, social support, personality, and core self-evaluation: A latent profile analysis. BMC Public Health, 24, Article 3459. https://doi.org/10.1186/s12889-024-20994-9
Donati, M. A., Beccari, C., & Primi, C. (2022). Boredom and problematic Facebook use in adolescents: What is the relationship considering trait or state boredom? Addictive Behaviors, 125, 107132. https://doi.org/10.1016/j.addbeh.2021.107132
Drody, A. C., Ralph, B. C. W., Danckert, J., & Smilek, D. (2022). Boredom and media multitasking. Frontiers in Psychology, 13, 807667. https://doi.org/10.3389/fpsyg.2022.807667
Elhai, J. D., Vasquez, J. K., Lustgarten, S. D., Levine, J. C., & Hall, B. J. (2017). Boredom proneness mediates relationships between problematic smartphone use and depression and anxiety severity. Social Science Computer Review, 36(6), 707–720. https://doi.org/10.1177/0894439317741087
Graf, D., Yanagida, T., & Spiel, C. (2019). Sensation seeking’s differential role in face-to-face and cyberbullying: Taking perceived contextual properties into account. Frontiers in Psychology, 10, Article 1572. https://doi.org/10.3389/fpsyg.2019.01572
Guo, J., & Chai, R. (2024). dolescent short video addiction in China: unveiling key growth stages and driving factors behind behavioral patterns. Frontiers in Psychology, 15, 1509636. https://doi.org/10.3389/fpsyg.2024.1509636
Huang, Q., Hu, M., & Zhang, N. (2022). A technopsychological approach to understanding problematic short-form video application use: The role of flow. Frontiers in Psychology, 13, 971589. https://doi.org/10.3389/fpsyg.2022.971589
Kuss, D. J., Pontes, H. M., & Griffiths, M. D. (2018). Neurobiological correlates in internet gaming disorder: A systematic literature review. Frontiers in Psychiatry, 9, 166. https://doi.org/10.3389/fpsyt.2018.00166
Lin, Z. (2023). Analysis of the psychological impact of TikTok on contemporary adolescents. SHS Web of Conferences, 157, 01024. https://doi.org/10.1051/shsconf/202315701024
Liu, Y., Zhan, Y., & Liu, Y. (2025). From stress to screen: Relationship between negative life events and short video addiction among college students: A chain-mediated effect of depression and experiential avoidance. Frontiers in Psychology, 16, 1677941. https://doi.org/10.3389/fpsyg.2025.1677941
Meng, K. S., & Leung, L. (2021). Factors influencing TikTok engagement behaviors in China: An examination of gratifications sought, narcissism, and the Big Five personality traits. Telecommunications Policy, 45(7), 102172. https://doi.org/10.1016/j.telpol.2021.102172
Mercer-Lynn, K. B., Flora, D. B., Fahlman, S. A., & Eastwood, J. D. (2013). The measurement of boredom: Differences between existing self-report scales. Assessment, 20(5), 585–596. https://doi.org/10.1177/1073191111408229
Montag, C., Yang, H., & Elhai, J. D. (2021). On the psychology of TikTok use: A first glimpse from empirical findings. Frontiers in Public Health, 9, 641673. https://doi.org/10.3389/fpubh.2021.641673
Nagata, J. M., Lee, C. M., Hur, J. O., & Baker, F. C. (2025). What we know about screen time and social media in early adolescence: A review of findings from the Adolescent Brain Cognitive Development Study. Current Opinion in Pediatrics, 37(4), 357–364. https://doi.org/10.1097/MOP.0000000000001462
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . Alonso-Fernández, S. (2021). Declaración PRISMA 2020: Una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología, 74(9), 790–799. https://doi.org/10.1016/j.recesp.2021.06.016
Paulich, K. N., Ross, J. M., Lessem, J. M., & Hewitt, J. K. (2021). Screen time and early adolescent mental health, academic, and social outcomes in 9- and 10-year-old children: Utilizing the Adolescent Brain Cognitive Development (ABCD) Study. PLOS ONE, 16(9), e0256591. https://doi.org/10.1371/journal.pone.0256591
Rosenberg, K. P., & Feder, L. C. (Eds.). (2014). Behavioral addictions: Criteria, evidence, and treatment. Academic Press.
Scherr, S., & Wang, K. (2021). Explaining the success of social media with gratification niches: Motivations behind daytime, nighttime, and active use of TikTok in China. Computers in Human Behavior, 124, 106893. https://doi.org/10.1016/j.chb.2021.106893
Sharpe, B. T., & Spooner, R. A. (2025). Dopamine-scrolling: A modern public health challenge requiring urgent attention. Perspectives in Public Health, 145(4), 190–191. https://doi.org/10.1177/17579139251331914
Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: A systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry, 19(1), 356. https://doi.org/10.1186/s12888-019-2350-x
Spaeth, M., Weichold, K., & Silbereisen, R. K. (2015). The development of leisure boredom in early adolescence: Predictors and longitudinal associations with delinquency and depression. Developmental Psychology, 51(10), 1380–1394. https://doi.org/10.1037/a0039480
Statista. (2024). Number of social media users worldwide from 2017 to 2027 [consultado en 18 de diciembre 2025]. https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/
Sümer, C., & Büttner, O. B. (2022). I’ll do it- After one more scroll: The effects of boredom proneness, self-control, and impulsivity on online procrastination. Frontiers in Psychology, 13, 918306. https://doi.org/10.3389/fpsyg.2022.918306
Tagliaferri, G., Martí-Vilar, M., Frisari, F. V., Quaglieri, A., Mari, E., Burrai, J., Giannini, A. M., & Cricenti, C. (2025). Connected by boredom: A systematic review of the role o trait boredom in problematic technology use. Brain Sciences, 15(8), 794. https://doi.org/10.3390/brainsci15080794
Tam, K. Y. Y., & Inzlicht, M. (2024). Fast-forward to boredom: How switching behavior on digital media makes people more bored. Journal of Experimental Psychology: General, 153(10), 2409–2426. https://doi.org/10.1037/xge0001639
Van den Eijnden, R. J. J. M., Lemmens, J. S., & Valkenburg, P. M. (2016). The Social Media Disorder Scale. Computers in Human Behavior, 61, 478–487. https://doi.org/10.1016/j.chb.2016.03.038
Virós-Martín, C., Montaña-Blasco, M., & Jiménez-Morales, M. (2024). Can’t stop scrolling! Adolescents’ patterns of TikTok use and digital well-being self-perception. Humanities and Social Sciences Communications, 11, https://doi.org/10.1057/s41599-024-03984-5
Wallace, J., Boers, E., Ouellet, J., Afzali, M. H., & Conrod, P. (2023). Screen time, impulsivity, neuropsychological functions, and their relationship to growth in adolescent attention-deficit/hyperactivity disorder symptoms. Scientific Reports, 13(1), 18108.https://doi.org/10.1038/s41598-023-44105-7
Wan, Z., Guo, M., Yang, C., Li, W., Li, X., Zheng, W., & Zhao, Y. (2025). Exploring the relationship between boredom proneness and short-form video addiction among Chinese college students through a moderated mediation model. Scientific Reports, 15, Article 38415.https://doi.org/10.1038/s41598-025-22313-7
Wang, Y., Yang, H., Montag, C., & Elhai, J. D. (2020). Boredom proneness and rumination mediate relationships between depression and anxiety with problematic smartphone use severity. Current Psychology, 41, 5287–5297. https://doi.org/10.1007/s12144-020-01052-0
Weybright, E. H., Caldwell, L. L., Ram, N., Smith, E. A., & Wegner, L. (2016). Trajectories of adolescent substance use development and the influence of healthy leisure: A growth mixture modeling approach. Journal of Adolescence, 49, 158–169. https://doi.org/10.1016/j.adolescence.2016.03.012
Wolniewicz, C. A., Rozgonjuk, D., & Elhai, J. D. (2020). Boredom proneness and fear of missing out mediate relations between depression and anxiety with problematic smartphone use. Human Behavior and Emerging Technologies, 2(1), 61–70. https://doi.org/10.1002/hbe2.159
Wu, Y., Wang, X., Hong, S., & Hong, M. (2021). The relationship between short-form social videos and youth well-being: It depends on use type and content category. Psychology of Popular Media, 10(4), 467–477. https://doi.org/10.1037/ppm0000292
Xie, J., Xu, X., Zhang, Y., Tan, Y., Wu, D., Shi, M., & Huang, H. (2023). The effect of short-form video addiction on undergraduates’ academic procrastination: A moderated mediation model. Frontiers in Psychology, 14, 1298361. https://doi.org/10.3389/fpsyg.2023.1298361
Yao, N., Chen, J., Huang, S., Montag, C., & Elhai, J. D. (2023). Depression and social anxiety in relation to problematic TikTok use severity: The mediating role of boredom proneness and distress intolerance. Computers in Human Behavior, 145, 107751. https://doi.org/10.1016/j.chb.2023.107751
Zhang, Y., Bu, R., & Li, X. (2024). Social exclusion and short video addiction: The mediating role of boredom and self-control. Psychology Research and Behavior Management, 17, 2195–2203. https://doi.org/10.2147/PRBM.S463240
Zsila, Á., Aruguete, M. S., Shabahang, R., Buvár, Á., & Orosz, G. (2025). Convergent and divergent predictors of extensive use time and problematic TikTok use. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 19(4), Article 8. https://doi.org/10.5817/CP2025-4-8
Zuckerman, M. (1978). Sensation seeking. In H. London & J. E. Exner, Jr (Eds.). Dimensions of personality (pp. 487–559). Wiley
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