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Research Articles

Multidimensional predictors of adolescents’ nonacademic digital media use in the United States: Insights from a bioecological perspective

ORCID Icon, , &
Pages 178-197 | Received 10 Mar 2021, Accepted 21 Mar 2024, Published online: 02 Apr 2024

References

  • Anderson, M., & Jiang, J. (2018). Teens, social media and technology 2018. Pew Research Center. https://www.pewresearch.org/internet/wpcontent/uploads/sites/9/2018/05/PI_2018.05.31_TeensTech_FINAL.pdf
  • Anderson, D. R., & Kirkorian, H. L. (2015). Media and cognitive development. In L. S. Liben, U. Müller, & R. M. Lerner (Eds.), Handbook of child psychology and developmental science: Cognitive processes (7th ed., pp. 949–994). John Wiley & Sons Inc. https://doi.org/10.1002/9781118963418.childpsy222.
  • Barry, C. T., Sidoti, C. L., Briggs, S. M., Reiter, S. R., & Lindsey, R. A. (2017). Adolescent social media use and mental health from adolescent and parent perspectives. Journal of Adolescence (London, England), 61(1), 1–11. https://doi.org/10.1016/j.adolescence.2017.08.005
  • Brand, S., Felner, R., Shim, M., Seitsinger, A., & Dumas, T. (2003). Middle school improvement and reform: Development and validation of a school-level assessment of climate, cultural pluralism, and school safety. Journal of Educational Psychology, 95(3), 570–588. https://doi.org/10.1037/0022-0663.95.3.570
  • Brener, N. D., Billy, J. O., & Grady, W. R. (2003). Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: Evidence from the scientific literature. Journal of Adolescent Health, 33(6), 436–457. https://doi.org/10.1016/S1054-139X(03)00052-1
  • Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32(7), 513–531. https://doi.org/10.1037/0003-066X.32.7.513
  • Bronfenbrenner, U. (Ed.). (2005). Making human beings human: Bioecological perspectives on human development. Sage.
  • Busch, V., Ananda Manders, L., & Rob Josephus de Leeuw, J. (2013). Screen time associated with health behaviors and outcomes in adolescents. American Journal of Health Behavior, 37(6), 819–830. https://doi.org/10.5993/AJHB.37.6.11
  • Caplan, S. E. (2007). Relations among loneliness, social anxiety, and problematic internet use. CyberPsychology & Behavior, 10(2), 234–242. https://doi.org/10.1089/cpb.2006.9963
  • Csibi, S., Griffiths, M. D., Demetrovics, Z., & Szabo, A. (2019). Analysis of problematic smartphone use across different age groups within the ‘components model of addiction’. International Journal of Mental Health and Addiction, 19(3), 1–16. https://doi.org/10.1007/s11469-019-00095-0
  • Dahlgren, A., Sjöblom, L., Eke, H., Bonn, S. E., Trolle Lagerros, Y., & Senechal, M. (2021). Screen time and physical activity in children and adolescents aged 10–15 years. Public Library of Science ONE, 16(7), e0254255. https://doi.org/10.1371/journal.pone.0254255
  • Fredricks, J. A., & Eccles, J. S. (2008). Participation in extracurricular activities in the middle school years: Are there developmental benefits for African American and European American youth? Journal of Youth and Adolescence, 37(9), 1029–1043. https://doi.org/10.1007/s10964-008-9309-4
  • Garcia-Continente, X., Pérez-Giménez, A., Espelt, A., & Nebot Adell, M. (2014). Factors associated with media use among adolescents: A multilevel approach. European Journal of Public Health, 24(1), 5–10. https://doi.org/10.1093/eurpub/ckt013
  • Gentile, D. A., Choo, H., Liau, A., Sim, T., Li, D., Fung, D., & Khoo, A. (2011). Pathological video game use among youths: A two-year longitudinal study. Pediatrics, 127(2), e319–e329.
  • Gentile, D. A., Reimer, R. A., Nathanson, A. I., Walsh, D. A., & Eisenmann, J. C. (2014). Protective effects of parental monitoring of children’s media use: A prospective study. JAMA Pediatrics, 168(5), 479–484. https://doi.org/10.1001/jamapediatrics.2014.146
  • Gross, E. F. (2004). Adolescent internet use: What we expect, what teens report. Journal of Applied Developmental Psychology, 25(6), 633–649.
  • Hale, L., & Guan, S. (2015). Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Medicine Reviews, 21, 50–58. https://doi.org/10.1016/j.smrv.2014.07.007
  • Hancox, R. J., Milne, B. J., & Poulton, R. (2004). Association between child and adolescent television viewing and adult health: A longitudinal birth cohort study. Lancet, 364(9430), 257–262.
  • Hartanto, A., & Yang, H. (2016). Is the smartphone a smart choice? The effect of smartphone separation on executive functions. Computers in Human Behavior, 64, 329–336. https://doi.org/10.1016/j.chb.2016.07.002
  • Hayes, A. F. (2018). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85(1), 4–40. https://doi.org/10.1080/03637751.2017.1352100
  • Kim, H. (2013). Exercise rehabilitation for smartphone addiction. Journal of Exercise Rehabilitation, 9(6), 500. https://doi.org/10.12965/jer.130080
  • LaRose, R., Lin, C. A., & Eastin, M. S. (2003). Unregulated internet usage: Addiction, habit, or deficient self-regulation? Media Psychology, 5(3), 225–253. https://doi.org/10.1207/S1532785XMEP0503_01
  • Lenhart, A. (2015). Teens, social media and technology overview 2015. Pew Research Center. https://www.pewresearch.org/wp-content/uploads/sites/9/2015/04/PI_TeensandTech_Update2015_0409151.pdf
  • Maranges, H. M., & Baumeister, R. F. (2016). Self-Control and Ego depletion. The Guilford Press. https://espace.library.uq.edu.au/view/UQ:577588
  • Mathers, M., Canterford, L., Olds, T., Hesketh, K., Ridley, K., & Wake, M. (2009). Electronic media use and adolescent health and well-being: Cross-sectional community study. Academic Pediatrics, 9(5), 307–314. https://doi.org/10.1016/j.acap.2009.04.003
  • McLoughlin, G. M., Rosenkranz, R. R., Lee, J. A., Wolff, M. M., Chen, S., Dzewaltowski, D. A., Vazou, S., Lanningham-Foster, L., Gentile, D. A., Rosen, M. S., & Welk, G. J. (2019). The importance of self-monitoring for behavior change in youth: Findings from the SWITCH ® school wellness feasibility study. International Journal of Environmental Research and Public Health, 16(20), 3806. https://doi.org/10.3390/ijerph16203806
  • Nesi, J., & Prinstein, M. J. (2015). Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. Journal of Abnormal Child Psychology, 43(8), 1427–1438. https://doi.org/10.1007/s10802-015-0020-0
  • 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. Public Library of Science One, 16(9), e0256591. https://doi.org/10.1371/journal.pone.0256591
  • Rideout, V. J., Foehr, U. G., & Roberts, D. F. (2010). Generation M2: Media in the lives of 8–18 year-olds. Kaiser Family Foundation.
  • Roberts, D. F., & Foehr, U. G. (2008). Trends in media use. The Future of Children, 18(1), 11–37. https://doi.org/10.1353/foc.0.0000
  • Schmidt, A. F., & Finan, C. (2018). Linear regression and the normality assumption. Journal of Clinical Epidemiology, 98, 146–151. https://doi.org/10.1016/j.jclinepi.2017.12.006
  • Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: A systematic review of reviews. BMJ Open, 9(1), e023191. https://doi.org/10.1136/bmjopen-2018-023191
  • Swearer, S. M., Espelage, D. L., Koenig, B., Berry, B., Collins, A., & Lembeck, P. (2012). A socio-ecological model for bullying prevention and intervention in early adolescence. In S. R. Jimerson, A. B. Nickerson, M. J. Mayer, & M. J. Furlong (Eds.), Handbook of school violence and school safety: International research and practice (pp. 333–355). Routledge/Taylor & Francis Group.
  • Timperio, A., Crawford, D., Ball, K., & Salmon, J. (2017). Typologies of neighborhood environments and children’s physical activity, sedentary time and television viewing. Health & Place, 43, 121–127. https://doi.org/10.1016/j.healthplace.2016.10.004
  • Toh, W. X., Ng, W. Q., Yang, H., & Yang, S. (2022). Disentangling the effects of smartphone screen time, checking frequency, and addictive tendencies on executive functions: A structural equation modelling analysis. Current Psychology, 42(5), 4225–4242. https://doi.org/10.1007/s12144-021-01759-8
  • Tudge, J. R. H., Mokrova, I., Hatfield, B. E., & Karnik, R. B. (2009). Uses and misuses of Bronfenbrenner’s bioecological theory of human development. Journal of Family Theory & Review, 1(4), 198–210. https://doi.org/10.1111/j.1756-2589.2009.00026.x
  • Twenge, J. M., Martin, G. N., & Spitzberg, B. H. (2018). Trends in U.S. adolescents’ media use, 1976–2016: The rise of digital media, the decline of TV, and the (near) demise of print. Psychology of Popular Media Culture, 8(4), 329–345. https://doi.org/10.1037/ppm0000203
  • Valkenburg, P. M., & Peter, P. (2013). The differential susceptibility to media effects model. Journal of Communication, 63(2), 221–243. https://doi.org/10.1111/jcom.12024
  • Wang, P. Y., Chen, K. L., Yang, S. Y., Lin, P. H., & Nakamae, T. (2019). Relationship of sleep quality, smartphone dependence, and health-related behaviors in female junior college students. Public Library of Science One, 14(4), e0214769. https://doi.org/10.1371/journal.pone.0214769
  • Wanous, J. P., & Reichers, A. E. (1996). Estimating the reliability of a single-item measure. Psychological Reports, 78(2), 631–634. https://doi.org/10.2466/pr0.1996.78.2.631
  • Wong, R. S., Tung, K. T., Rao, N., Leung, C., Hui, A. N., Tso, W. W., Fu, K.-W., Jiang, F., Zhao, J., & Ip, P. (2020). Parent technology use, parent–child interaction, child screen time, and child psychosocial problems among disadvantaged families. The Journal of Pediatrics, 226, 258–265. https://doi.org/10.1016/j.jpeds.2020.07.006
  • Yang, H., Tng, G. Y. Q., Khoo, S., & Yang, S. (2022). Multidimensional profiles of addictive smartphone use: A latent profile analysis. Current Psychology, 41(12), 8410–8423. https://doi.org/10.1007/s12144-022-02881-x
  • Yang, H., Wang, J. J., Tng, G. Y. Q., & Yang, S. (2020). Effects of social media and smartphone use on body esteem in female adolescents: Testing a cognitive and affective model. Children (Basel), 7(9), 148. https://doi.org/10.3390/children7090148
  • Yates, M., & Youniss, J. (1996). A developmental perspective on community service in adolescence. Social Development, 5(1), 85–111. https://doi.org/10.1111/j.1467-9507.1996.tb00073.x
  • Youngblut, J. M., & Casper, G. R. (1993). Focus on psychometrics single-item indicators in nursing research. Research in Nursing and Health, 16(6), 459–465. https://doi.org/10.1002/nur.4770160610
  • Zhao, J., Zhang, Y., Jiang, F., Ip, P., Ho, F. K. W., Zhang, Y., & Huang, H. (2018). Excessive screen time and psychosocial well-being: The mediating role of body mass index, sleep duration, and parent-child interaction. The Journal of Pediatrics, 202, 157–162.e1. https://doi.org/10.1016/j.jpeds.2018.06.029