Usos problemáticos de Internet y depresión en adolescentes: Meta-análisis

Problematic Internet uses and depression in adolescents: A meta-analysis

Palabras clave

Meta-análisis, adolescencia, Internet, uso patológico, depresión, comorbilidad, correlación, efecto moderador

Resumen

El uso extendido de Internet en la sociedad del siglo XXI no está exento de riesgos. El presente trabajo estudia la comorbilidad entre los usos problemáticos de Internet y la depresión con la finalidad de determinar la existencia de relación entre ambas. Para ello se ha llevado a cabo un meta-análisis, que cuenta con 19 muestras recogidas en 13 investigaciones (n=33.748), con adolescentes de entre 12 y 18 años (µ=15,68) de diferentes culturas y continentes (Europa, Euro-Asia, América y Asia). El tamaño del efecto obtenido a partir de un modelo de efectos aleatorios (r=0,3, p<0,000) es significativo, positivo y moderado confirmando la existencia de relación entre usos patológicos de Internet y depresión. Por otra parte, la meta-regresión mostró que el 9% (R2=0,09) de la varianza es explicada por el sexo masculino, mientras que la edad y la cultura no son variables significativas. La variabilidad de los estudios es elevada (I2=87,085%) siendo fruto de la heterogeneidad y no del sesgo de publicación, tal y como indicó la prueba de regresión de Egger (p-value 1 tailed=0,25; p-value 2 tailed=0,50 y ?=1,57). Se advierte la necesidad de comenzar a generar proyectos de intervención en Educación Secundaria que traten esta problemática con el objetivo de que no se extienda a la vida adulta.

Ver infografía

Referencias

American Psychiatric Association (Ed.) (2013). Diagnostic and statistical manual of mental disorders. American Psychiatric Association. https://doi.org/10.1176/appi.books.9780890425596

Link DOI | Link Google Scholar

Banjanin, N., Banjanin, N., Dimitrijevic, I., & Pantic, I. (2015). Relationship between internet use and depression: Focus on physiological mood oscillations, social networking and online addictive behavior. Computers in Human Behavior, 43, 308-312. https://doi.org/10.1016/j.chb.2014.11.013

Link DOI | Link Google Scholar

Bickhan, D.S., Hswen, Y., & Rich, M. (2015). Media use and depression: Exposure, household rules, and symptoms among young adolescents in the USA. International Journal of Public Health, 60, 147-155. https://doi.org/10.1007/s00038-014-0647-6

Link DOI | Link Google Scholar

Bonetti, L., Campbell, MA., & Gilmore, L. (2010). The relationship of loneliness and social anxiety with children’s and adolescents’ online communication. Cyberpsychology, Behavior, and Social Networking, 13, 279-285. https://doi.org/10.1089/cyber.2009.0215

Link DOI | Link Google Scholar

Botella, J., & Sánchez, J. (2015). Meta-análisis en ciencias sociales y de la salud. Síntesis.

Link Google Scholar

Chang, F.C., Chiu, C.H., Lee, C.M., Chen, P.H., & Miao, N.F. (2014). Predictors of the initiation and persistence of Internet addiction among adolescents in Taiwan. Addictive Behaviors, 39(10), 1434-1440. https://doi.org/10.1016/j.addbeh.2014.05.010

Link DOI | Link Google Scholar

Cheng, C., & Li, A.Y., (2014). Internet addiction prevalence and quality of (real) life: A metaanalysis of 31 nations across seven world regions. Cyberpsychology, Behavior, and Social Networking, 17, 755-760. https://doi.org/10.1089/cyber.2014.0317

Link DOI | Link Google Scholar

Cho, C.M. (2017). Self-rating smart phone addiction scale for adolescents. In M. Israelashvili, & J. Romano (Eds.), The Cambridge Handbook of International Prevention Science (pp. 571-573). Cambridge University Press.

Link Google Scholar

Chou, H.T., & Edge, N. (2012). They are happier and having better lives than I am: The impact of using Facebook on perceptions of others’ lives. Cyberpsychology, Behaviour, and Social Networking, 15(2), 117-121. https://doi.org/10.1089/cyber.2011.0324

Link DOI | Link Google Scholar

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Erlbaum. https://doi.org/10.4324/9780203771587

Link DOI | Link Google Scholar

Colder-Carras, M., Van-Rooij, A. Van-de-Mheen, D., Musci, R., Xue, Q., & Mendelson, T. (2017). Video gaming in a hyperconnected world: A cross-sectional study of heavy gaming, problematic gaming symptoms, and online socializing in adolescents. Computers in Human Behavior 68, 472-479. https://doi.org/10.1016/j.chb.2016.11.060

Link DOI | Link Google Scholar

Der-Simonian R., & Laird N. (1986). Meta-analysis in clinical trials. Medline, 7, 177-188. https://doi.org/10.1016/j.cct.2015.09.002

Link DOI | Link Google Scholar

Egger, M., Smith, G.D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315, 629-634. https://doi.org/10.1136/bmj.315.7109.629

Link DOI | Link Google Scholar

El-Asam, A., Samara, M., & Terry, P. (2019). Problematic internet use and mental health among British children and adolescents. Addictive Behaviors, 90, 428-436. https://doi.org/10.1016/j.addbeh.2018.09.007

Link DOI | Link Google Scholar

Gámez-Guadix, M., Orue, I., Smith, P., & Calvete, E. (2014). Depressive symptoms and problematic Internet use among adolescents: Analysis of the longitudinal relationships from the cognitive behavioral model. Cyberpsychology, Behavior, and Social Networking, 17(11), 714-719. http://doi.org/f6n9kc

Link DOI | Link Google Scholar

Higgins, J.P.T., & Green, S. (2011). Cochrane handbook for systematic reviews of interventions. The Cochrane Collaboration.

Link Google Scholar

Higgins, J.P.T., Thompson, S.G., Deeks, J.J., & Altman, DG. (2003). Measuring inconsistency in meta-analyses. BJM, 327, 557-560. https://doi.org/10.1136/bmj.327.7414.557

Link DOI | Link Google Scholar

Israelashvili, M., & Romano, J. (2016). The Cambridge handbook of international prevention science. Cambridge University Press. https://doi.org/10.1017/9781316104453.024

Link DOI | Link Google Scholar

Jin, Z.C., Wu, C., Zhou, X.H., & He, J. (2014). A modified regression method to test publication bis in meta-analysis with binary outcomes. BMJ, 315 (7109), 629-634. https://doi.org/10.1186/1471-2288-14-132

Link DOI | Link Google Scholar

Jun, S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Computers in Human Behavior, 58, 179-186. https://doi.org/10.1016/j.chb.2015.12.061

Link DOI | Link Google Scholar

Kaess, M., Durkee, T., Brunner, R., Carli, V., Parzer, P., Wasserman, C., Sarchiapone, M., Hoven, C., Apter, A., Balazs, J., Balint, M., Bobes, J., Cohen, R., Cosman, D., Cotter, P., Fischer, G., Floderus, B., Iosue, M., Haring, C., … Ziberna, J. (2014). Pathological Internet use among European adolescents: Psychopathology and self destructive behaviors. European Child & Adolescent Psychiatry, 23(11), 1093-1102. https://doi.org/10.1016/s0924-9338(13)76661-6

Link DOI | Link Google Scholar

Kim, J.H., Seo, M., & David, P. (2015). Alleviating depression only to become problematic mobile phone users: Can face-to-face communication be the antidote? Computers in Human Behavior, 51, 440-447. https://doi.org/10.1016/j.chb.2015.05.030

Link DOI | Link Google Scholar

King, A.L.S., Valença, A.M., Silva, A.C.O., Baczynski, T., Carvalho, M.R., & Nardi, A.E. (2013). Nomophobia: Dependency on virtual environments or social phobia? Computers in Human Behavior, 29(1), 140-144. https://doi.org/10.1016/j.chb.2012.07.025

Link DOI | Link Google Scholar

Király, O., Nagygyörgy, K., Koronczai, B., Gri?ths, M.D., & Demetrovics, Z. (2015). Assessment of problematic Internet use and online video gaming. In E. Aboujaoude, & V. Starcevic (Eds.), Mental health in the digital age: Grave dangers, great promise (pp. 46–68). Oxford University Press. https://doi.org/10.1093/med/9780199380183.003.0003

Link DOI | Link Google Scholar

Kircaburun, K., Griffiths, M.D., & Billieux. J. (2019). Psychosocial factors mediating the relationship between childhood emotional trauma and internet gaming disorder: A pilot study. European Journal of Psychotraumatology, 10(1). https://doi.org/10.1080/20008198.2018.1565031

Link DOI | Link Google Scholar

Lin, M.P., Wu, J.Y., You, J., Hu, W.H., & Yen, C.F. (2018). Prevalence of internet addiction and its risk and protective factors in a representative sample of senior high school students in Taiwan. Journal of Adolescence, 62, 38-46. https://doi.org/10.1016/j.adolescence.2017.11.004

Link DOI | Link Google Scholar

Lu, L., Xu, D.D., Liu, H.Z., Zhang, L., Ng, C.H., Ungvari, G.S., An, F.R., Xiang, Y.T. (2018). Internet addiction in Tibetan and Han Chinese middle school students: Prevalence, demographics and quality of life. Psychiatry Research, 268, 131-136. https://doi.org/10.1016/j.psychres.2018.07.005

Link DOI | Link Google Scholar

Martin-Andrés, A., & Luna-del-Castillo, J.D. (2004). Bioestadística para las Ciencias de la Salud. Norma-Capitel.

Link Google Scholar

McLaughlin, K.A., & King, K. (2015). Developmental trajectories of anxiety and depression in early adolescence. Journal of Abnormal Child Psychology, 43(2), 311-323. https://doi.org/10.1007/s10802-014-9898-1

Link DOI | Link Google Scholar

Mehdizadeh, S. (2010). Self-presentation 2.0: Narcissism and self-esteem on Facebook. Cyberpsychology, Behaviour, and Social Networking, 13(4), 357-364. https://doi.org/10.1089/cyber.2009.0257

Link DOI | Link Google Scholar

Müller, K.W., Dreier, M., Beutel, M.E., Duven, E., Giralt, S., & Wölfling, K. (2016). A hidden type of internet addiction? Intense and addictive use of social networking sites in adolescents. Computers in Human Behavior, 55, 172-177. https://doi.org/10.1016/j.chb.2015.09.007

Link DOI | Link Google Scholar

Oberst, U., Renau, V., Chamarro, A., & Carbonell, X. (2016). Gender stereotypes in Facebook profiles: Are women more female online? Computers in Human Behavior, 60, 559-564. https://doi.org/10.1016/j.chb.2016.02.085

Link DOI | Link Google Scholar

Ofcom (Ed.) (2017). Children and parents: Media use and attitudes report. https://bit.ly/2Yq5V5b

Link Google Scholar

Pew Research Center (Ed.) (2015). Teens, social media, and technology overview 2015. https://pewrsr.ch/2QB8Xlp

Link Google Scholar

Sami, H., Danielle, L., Lihi, D., & Elena, S. (2018). The effect of sleep disturbances and internet addiction on suicidal ideation among adolescents in the presence of depressive symptoms. Psychiatry Research, 267, 327-332. https://doi.org/10.1016/j.psychres.2018.03.067

Link DOI | Link Google Scholar

Sotelo-Alonso, I., Rojas-Soto, J.E., Sánchez-Arenas, C., & Irigoyen-Coria A. (2012). La depresión en el adulto mayor: Una perspectiva clínica y epidemiológica desde el primer nivel de atención. Archivos en Medicina Familiar, 14(1), 5-13. http://bit.ly/2r60tId

Link Google Scholar

Sterne, J.A., Sutton, A.J., Loannidis, J.P.A., Terrin, N., Jones, D.R., Lau, J., Carpenter, R., Rücker, G., Harbord, R.M., Schmid, C.H., Tetzlaff, J., Deeks, J.J., Peters, J., Macaskill, P., Schwarzer, G., Duval, S., Altman, D.G., Moher, D., Higgins, J.P.T. (2011). Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ, 343. https://doi.org/10.1136/bmj.d4002

Link DOI | Link Google Scholar

Tsitsika, AK., Tzavela, E.C., Janikian, M., Olafsson, K., Iordache, A., Schoenmakers, T.M., Tzavara, C., & Richardson, C. (2014). Online social networking in adolescence: Patterns of use in six European Countries and links with psychosocial functioning. Journal of Adolescent Health, 55(1), 141-147. https://doi.org/10.1016/j.jadohealth.2013.11.010

Link DOI | Link Google Scholar

Underwood, M.K., & Ehrenreich, S.E. (2017). The power and the pain of adolescents' digital communication: Cyber victimization and the perils of lurking. American Psychologist, 2, 144-158. https://doi.org/10.1037/a0040429

Link DOI | Link Google Scholar

Walburg, V., Mialhes, A., & Moncla, D. (2016). Does school-related burnout influence problematic Facebook use? Children and Youth Services Review, 61, 327-331. https://doi.org/10.1016/j.childyouth.2016.01.009

Link DOI | Link Google Scholar

Wartberg, L., Brunner, R., Kriston, L., Durkee, T., Parzer, P., Fischer-Waldschmidt, G., Resch, F., Sarchiapone, M., Wasserman, C., Hoven, C.W., Carli, V., Wasserman, D., Thomasius, R., & Kaess, M. (2016). Psychopathological factors associated with problematic alcohol and problematic Internet use in a sample of adolescents in Germany. Psychiatry Research, 240, 272-277. https://doi.org/10.1016/j.psychres.2016.04.057

Link DOI | Link Google Scholar

Woods, H.C., & Scott, H. (2016). #Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41-49. https://doi.org/10.1016/j.adolescence.2016.05.008

Link DOI | Link Google Scholar

Wu, C.Y., Lee, M.B., Liao, S.C., & Chang, L.R. (2015). Risk factors of internet addiction among internet users: An online questionnaire survey. PLoS One, 10. https://doi.org/10.1371/journal.pone.0137506

Link DOI | Link Google Scholar

Young, K.S. (1998). Caught in the net. Wiley.

Link Google Scholar

Zhang, H., Jiang, W., Lin, Z., Du, Y., & Vance, A. (2013). Comparison of psychological symptoms and serum levels of neurotransmitters in Shanghai adolescents with and without internet addiction disorder: A case control study. Plos One, 8(5), 1-4. https://doi.org/10.1371/journal.pone.0063089

Link DOI | Link Google Scholar

Ficha técnica

Recibido: 06-08-2019

Revisado: 04-10-2019

Aceptado: 18-11-2019

Preprint: 15-02-2019

Fecha publicación: 01-04-2020

Tiempo de revisión del artículo : 59 días | Media tiempo revisión número 63: 48 días

Tiempo de aceptación del artículo: 104 días | Media tiempo aceptación número 63: 83 días

Tiempo de edición del preprint: 194 días | Media tiempo edición número preprint 63: 198 días

Tiempo de edición del artículo: 239 días | Media tiempo edición número 63: 243 días

Métricas

Métricas de este artículo

Vistas: 11787

Lectura del abstract: 10719

Descargas del PDF: 1068

Métricas completas de Comunicar 63

Vistas: 113632

Lectura del abstract: 101108

Descargas del PDF: 12524

Citado por

Citas es Web of Science

Romero-Rodriguez, Jose-Maria; Aznar-Diaz, Inmaculada; Marin-Marin, Jose-Antonio;. Impact of Problematic Smartphone Use and Instagram Use Intensity on Self-Esteem with University Students from Physical Education INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH , 2020.

https://doi.org/10.3390/ijerph17124336

Citas es Scopus

Romero-Rodríguez, J.-M., Aznar-Díaz, I., Marín-Marín, J.-A., Soler-Costa, R., Rodríguez-Jiménez, C. . Impact of problematic smartphone use and instagram use intensity on self-esteem with university students from physical education), International Journal of Environmental Research and Public Health, .

https://doi.org/10.3390/ijerph17124336

Citas es Google Scholar

Valencia-Ortiz, R., Cabero-Almenara, J., & Garay, U. (2020). Modalidad de estudio, presencial o en línea, y la adicción a las redes sociales virtuales. Edutec. Revista Electrónica De Tecnología Educativa, (72), 1-16.

https://www.edutec.es/revista/index.php/edutec-e/article/view/1649

Romero-Rodríguez, J. M., Aznar-Díaz, I., Marín-Marín, J. A., Soler-Costa, R., & Rodríguez-Jiménez, C. (2020). Impact of problematic smartphone use and instagram use intensity on self-esteem with university students from physical education. International journal of environmental research and public health, 17(12), 4336.

https://www.mdpi.com/745498

Descarga

Métricas alternativas

Cómo citar

Lozano-Blasco, R., & Cortés-Pascual, A. (2020). Problematic Internet uses and depression in adolescents: A meta-analysis. [Usos problemáticos de Internet y depresión en adolescentes: Meta-análisis]. Comunicar, 63, 109-120. https://doi.org/10.3916/C63-2020-10

Compartir

           

Apartado de Correos 527

21080 Huelva (España)

Administración

Redacción

Creative Commons

Esta web utiliza cookies para obtener datos estadísticos de la navegación de sus usuarios. Si continúas navegando consideramos que aceptas su uso. +info X