Palabras clave
TIC, autoeficacia digital, actitud digital, personalidad, autoconcepto, familia
Resumen
Muchas investigaciones actuales analizan comportamientos de riesgo de adolescentes en el uso de TIC (como el uso excesivo o adictivo), siendo escasas las que exploran las características del comportamiento de bajo riesgo. El objetivo fue analizar el perfil psicosocial de una muestra de 593 adolescentes españoles de 13 a 18 años. El grupo de uso de TIC de bajo riesgo se calculó mediante: «el índice de multitarea mientras se realizan tareas escolares» e ítems sobre conductas de riesgo en el uso de TIC. Se realizaron pruebas Chi-cuadrado y pruebas t y una regresión logística binaria por pasos para predecir el bajo riesgo de uso de TIC. Los resultados mostraron que el 7,1% se clasificó como usuario de TIC de bajo riesgo, con mayor porcentaje de chicas. Su perfil se caracterizaba por: menor autoeficacia digital en redes sociales, menor uso generalizado de las TIC y una actitud menos dependiente; menor extroversión y mayor amabilidad y responsabilidad; un mayor autoconcepto académico; disponer de normas de uso de TIC en el hogar; y un apego menos inseguro y ansioso hacia las figuras paternas. Las variables que predijeron un comportamiento de bajo riesgo fueron: un elevado autoconcepto académico; una baja percepción de ansiedad por separación de los seres queridos; y una puntuación alta en amabilidad. Estos resultados son útiles para proponer intervenciones psico-socio-educativas que promuevan el uso saludable de las TIC.
Referencias
Arafa, A., Mahmoud, O., & Abu-Salem, E. (2019). Excessive Internet use and self-esteem among Internet users in Egypt. International Journal of Mental Health, 48(2), 95-105. https://doi.org/10.1080/00207411.2019.1611167
Link DOI | Link Google Scholar
Atroszko, P.A., Balcerowska, J.M., Bereznowski, P., Biernatowska, A., Pallesen, S., & Andreassen, C.S. (2018). Facebook addiction among Polish undergraduate students: Validity of measurement and relationship with personality and well-being. Computers in Human Behavior, 85, 329-338. https://doi.org/10.1016/j.chb.2018.04.001
Link DOI | Link Google Scholar
Balluerka, N., Lacasa-Saludas, F., Gorostiaga, A., Muela, A., & Pierrehumbert, B. (2011). Versión reducida del cuestionario CaMir (CaMir-R) para la evaluación del apego. Psicothema, 23(3), 486-494. http://bit.ly/3OFQnV7
Link Google Scholar
Casas, F., Madorell, L., Figuer, C., Gonzàlez, M., Malo, S., Garcia, M., Bertran, I., Cebrian, N., Carpena, D., Martin, A., Babot, N., Montilla, S., & Grinver, S. A. (2007). Preferències i expectatives dels adolescents relatives a la televisió a Catalunya. Consell Audiovisual de Catalunya. https://bit.ly/3Fhrxqt
Link Google Scholar
Castro-Sánchez. M., Rojas-Jiménez, M., Zurita-Ortega, F., & Chacón-Cuberos, R. (2019). Multidimensional Self-Concept and Its Association with Problematic Use of Video Games in Spanish College Students. Education Science, 9(206), 2-11. https://doi.org/10.3390/educsci9030206
Link DOI | Link Google Scholar
Ching, K.H., & Tak, L.M. (2017). The structural model in parenting style, attachment style, self-regulation and self-esteem for smartphone addiction. Journal of Psychology & the Behavioral Sciences, 3(1), 85-103. https://doi.org/10.22492.ijpbs.3.1.06
Link DOI | Link Google Scholar
Costa, P.T., & McCrae, R.R. (2004). A contemplated revision of the NEO Five-Factor Inventory. Personality and individual differences, 36(3), 587-596. https://doi.org/10.1016/S0191-8869(03)00118-1
Link DOI | Link Google Scholar
Coyne, S.M., Stockdale, L.A., Warburton, W., Gentile, D.A., Yang, C., & Merrill, B.M. (2020). Pathological video game symptoms from adolescence to emerging adulthood: A 6-Year longitudinal study of trajectories, predictors, and outcomes. Developmental Psychology, 56(7), 1385-1396. https://doi.org/10.1037/dev0000939
Link DOI | Link Google Scholar
Durager, A., & Livingstone, S. (2012). How can parents support children’s Internet safety? EU Kids Online. http://bit.ly/3OLgIBd
Link Google Scholar
Echeburúa, E. (2012). Factores de riesgo y factores de protección en la adicción a las nuevas tecnologías y redes sociales en jóvenes y adolescentes. Revista Española de Drogodependencias, 37(4), 435-447. http://bit.ly/3AOtNUx
Link Google Scholar
Ettinger, K., & Cohen, A. (2020). Patterns of multitasking behaviours of adolescents in digital environments. Education Information Technology, 25, 623-645. https://doi.org/10.1007/s10639-019-09982-4
Link DOI | Link Google Scholar
Gudmundsdottir, G.B., Gassó, H.H., Rubio, J.C.C., & Hatlevik, O.E. (2020). Student teachers’ responsible use of ICT: Examining two samples in Spain and Norway. Computers & Education, 152, 1-12. https://doi.org/10.1016/j.compedu.2020.103877
Link DOI | Link Google Scholar
Helsper, E.J., & Smahel, D. (2020). Excessive internet use by young Europeans: Psychological vulnerability and digital literacy? Information, Communication & Society, 23(9), 1255-1273. https://doi.org/10.1080/1369118X.2018.1563203
Link DOI | Link Google Scholar
Hiniker, A., Schoenebeck, S.Y., & Kientz, J.A. (2016). Not at the dinner table: Parents' and children's perspectives on family technology rules. In D. Gergle, M. Ringel-Morris, P. Bjørn, & J. Konstan (Eds.), Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing (pp. 1376-1389). ACM. https://doi.org/10.1145/2818048.2819940
Link DOI | Link Google Scholar
Holloway, D., Green, L., & Livingstone, S. (2013). Zero to eight. Young children and their internet use. LSE, EU Kids Online. http://bit.ly/3VwxPZU
Link Google Scholar
Kav?i?, T., Levpuš?ek, M.P., Zupan?i?, M., Poredoš, M., & Bjornsen, C. (2019). Personal correlates of problematic types of social media and mobile phone use in emerging adults. Human Technology, 15(2), 256-278. https://doi.org/10.17011/ht/urn.201906123158
Link DOI | Link Google Scholar
Kim, E., & Koh, E. (2018). Avoidant attachment and smartphone addiction in college students: The mediating effects of anxiety and self-esteem. Computers in Human Behavior, 84, 264-271. https://doi.org/10.1016/j.chb.2018.02.037
Link DOI | Link Google Scholar
Kim, E., Cho, I., & Kim, E.J. (2017). Structural equation model of smartphone addiction based on adult attachment theory: Mediating effects of loneliness and depression. Asian Nursing Research, 11(2), 92-97 https://doi.org/10.1016/j.anr.2017.05.002
Link DOI | Link Google Scholar
Kuss, D.J., Kristensen, A.M., & Lopez-Fernandez, O. (2020). Internet addictions outside of Europe: A systematic literature review. Computers in Human Behavior, 115, 106621. https://doi.org/10.1016/j.chb.2020.106621
Link DOI | Link Google Scholar
Livingstone, S., & Stoilova, M. (2021). The 4Cs: Classifying Online Risk to Children. (CO:RE Short Report Series on Key Topics). CO:RE - Children Online: Research and Evidence. https://doi.org/10.21241/ssoar.71817
Link DOI | Link Google Scholar
Livingstone, S., Haddon, L., Görzig, A., & Ólafsson, K. (2011). Risks and safety on the internet: The perspective of European children. Full Findings. LSE, EU Kids Online. http://bit.ly/3V7Lbvv
Link Google Scholar
Livingstone, S., Ólafsson, K., Helsper, E.J., Lupiáñez-Villanueva, F., Veltri, G.A., & Folkvord, F. (2017). Maximizing opportunities and minimizing risks for children online: The role of digital skills in emerging strategies of parental mediation. Journal of Communication, 67(1), 82-105. https://doi.org/10.1111/jcom.12277
Link DOI | Link Google Scholar
Lozano-Blasco, R., Latorre-Martínez, M.P., & Cortés-Pascual, A. (2022). Screen addicts: A meta-analysis of internet addiction in adolescence. Children and Youth Services Review, 135, 1-11. https://doi.org/10.1016/j.childyouth.2022.106373
Link DOI | Link Google Scholar
Luo, J., Yeung, P.S., & Li, H. (2020). The relationship among media multitasking, academic performance and self-esteem in Chinese adolescents: The cross-lagged panel and mediation analyses. Children and Youth Services Review, 117, 105308. https://doi.org/10.1016/j.childyouth.2020.105308
Link DOI | Link Google Scholar
Malo-Cerrato, S., González, M., Casas, F., Viñas, F., Gras, M.E., & Bataller, S. (2014). Adaptació al català. In F. García, & G. Musitu (Eds.), AF5 Autoconcepto – Forma 5 (pp. 69-88). TEA Ediciones.
Link Google Scholar
Malo-Cerrato, S., Martín-Perpiñá, M., & Viñas-Poch, F. (2018). Excessive use of social networks: Psychosocial profile of Spanish adolescents. [Uso excesivo de redes sociales: Perfil psicosocial de adolescentes españoles]. Comunicar, 56, 101-110. https://doi.org/10.3916/C56-2018-10
Link DOI | Link Google Scholar
Marshall, T.C., Lefringhausen, K., & Ferenczi, N. (2015). The Big Five, self-esteem, and narcissism as predictors of the topics people write about in Facebook status updates. Personality and Individual Differences, 85, 35-40. https://doi.org/10.1016/j.paid.2015.04.039
Link DOI | Link Google Scholar
Martín-Perpiñá, M.M., Viñas, F., & Malo, S. (2019b). Media multitasking impact in homework, executive function and academic performance in Spanish adolescents. Psicothema,31(1), 81-87. https://doi.org/10.7334/psicothema2018.178
Link DOI | Link Google Scholar
Martín-Perpiñá, M.M., Viñas, F., & Malo-Cerrato, M. (2019a). Personality and social context factors associated to self-reported excessive use of information and communication technology (ICT) on a sample of Spanish adolescents. Frontiers in Psychology, 10, 436. https://doi.org/10.3389/fpsyg.2019.00436
Link DOI | Link Google Scholar
Müller, K.W., Dreier, M., Beutel, M.E., Duven, E., Giralt, S., & Wölfing, K. (2017). A hidden type of Internet addiction? Intense and addictive use of social networking sites in adolescence. Computers in Human Behavior, 55, 172-177. https://doi.org/10.1016/j.chb.2015.09.07
Link DOI | Link Google Scholar
OECD (Ed.) (2015). Skills for social progress: The power of social and emotional skills, OECD skills studies. OECD Publishing. https://doi.org/10.1787/9789264226159-en
Link DOI | Link Google Scholar
Ophir, E., Nass, C., & Wagner, A.D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences, 106(37), 15583-15587. https://doi.org/10.1073/pnas.0903620106
Link DOI | Link Google Scholar
Ozteke, H.I, Kesici, S., Buyukbayraktar, C.G., & Yalcin, B. (2017). Prediction of problematic internet use by attachment in university students. Journal of Education and Training Studies, 5(1), 79-83. https://doi.org/10.11114/jets.v5i1.2070
Link DOI | Link Google Scholar
Panda, A., & Jain, N.K. (2018). Compulsive smartphone usage and users' ill-being among young Indians: Does personality matter? Telematics and Informatics, 35(5), 1355-1372. https://doi.org/10.1016/j.tele.2018.03.006
Link DOI | Link Google Scholar
Prats-Fernández, M.A., Rodríguez-Torres, A., Oberst, U., & Carbonell, X. (2018). Diseño y aplicación de talleres educativos para el uso saludable de internet y redes sociales en la adolescencia: Descripción de un estudio piloto. Pixel-Bit, 52, 111-124. https://doi.org/10.12795/pixelbit.2018.i52.08
Link DOI | Link Google Scholar
Rogobete, D.A., Lonescu, T., & Miclea, M. (2021). The relationship between media multitasking behavior and executive function in adolescence: A replication study. The Journal of Early Adolescence, 41(5), 725-753. https://doi.org/10.1177%2F0272431620950478
Link DOI | Link Google Scholar
Rosen, L.D., Whaling, K., Carrier, L.M., Cheever, N.A., & Rokkum, J. (2013). The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511. https://doi.org/10.1016/j.chb.2013.06.006
Link DOI | Link Google Scholar
Schou-Andreassen, C. Griffiths, M.D., Gjertsen, S.R., Krossbakken, E., Kvam, S., & Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2(2), 90-99. https://doi.org/10.1556/JBA.2.2013.003
Link DOI | Link Google Scholar
Seidman, G. (2013). Self-presentation and belonging on Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 54(3), 402-407. https://doi.org/10.1016/j.paid.2012.10.009
Link DOI | Link Google Scholar
Singh, P. (2022). Conscientiousness moderates the relationship between neuroticism and health-risk behaviors among adolescents. Scandinavian Journal of Psychology, 63(3), 256-264. https://doi.org/10.1111/sjop.12799
Link DOI | Link Google Scholar
Smahel, D., Machackova, H., Mascheroni, G., Dedkova, L., Staksrud, E., Ólafsson, K., Livingstone, S., & Hasebrink, U. (2020). EU Kids Online 2020: Survey results from 19 countries. EU Kids Online. https://doi.org/10.21953/lse.47fdeqj01ofo
Link DOI | Link Google Scholar
Tang, J.H., Chen, M.C., Yang, C.Y., Chung, T.Y., & Lee, Y.A. (2016). Personality traits, interpersonal relationships, online social support, and Facebook addiction. Telematics and Informatics, 33(1), 102-108. https://doi.org/10.1016/j.tele.2015.06.003
Link DOI | Link Google Scholar
Vondrackova, P., & Šmahel, D. (2019). Internet addiction in context. In Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction (pp. 551-562). IGI Global. https://doi.org/10.4018/978-1-5225-7368-5.ch041
Link DOI | Link Google Scholar
Wachs, S., Vazsonyi, A.T., Wright, M.F., & Jiskrova, G.K. (2020). Cross-national associations among cyberbullying victimization, self-esteem, and internet addiction: Direct and indirect effects of alexithymia. Frontiers in Psychology, 11, 1-10. https://doi.org/10.3389/fpsyg.2020.01368
Link DOI | Link Google Scholar
Zaman, B., Nouwen, M., Vanattenhoven, J., de-Ferrerre, E., & Van-Looy, J. (2016). A qualitative inquiry into the contextualized parental mediation practices of young children’s digital media use at home. Journal of Broadcasting & Electronic Media, 60(1), 1-22. https://doi.org/10.1080/08838151.2015
Link DOI | Link Google Scholar
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Ficha técnica
Recibido: 01-09-2022
Revisado: 08-10-2022
Aceptado: 29-11-2022
OnlineFirst: 30-01-2023
Fecha publicación: 01-04-2023
Tiempo de revisión del artículo : 37 (en días) | Media de tiempo de revisión de los manuscritos del número 75: 32 (en días)
Tiempo de aceptación del artículo: 89 (en días) | Media tiempo aceptación de los manuscritos del número 75: 93 (en días)
Tiempo de edición OnlineFirst: 167 (en días) | Media tiempo edición de los OnlineFirst del número 75: 171 (en días)
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