Adolescent media use, parent involvement and health outcomes: a latent class analysis approach

References

• Anderson, M., & Jiang, J. (2018a). Teens, Social media & technology 2018. http://www.pewinternet.org/2018/05/31/teens-social-media-technology-2018/
   Google Scholar
• Anderson, M., & Jiang, J. (2018b). Teens, Social media & technology 2018. Pew Research Center. http://www.pewinternet.org/2018/05/31/teens-social-media-technology-2018/
   Google Scholar
• Atkinson, N. L., & Gold, R. S. (2002). The promise and challenge of eHealth interventions. American Journal of Health Behavior, 26(6), 494–503. https://doi.org/10.5993/AJHB.26.6.10. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd = Retrieve&db = PubMed&dopt = Citation&list_uids = 12437024 http://docserver.ingentaconnect.com/deliver/connect/png/10873244/v26n6/s10.pdf?expires = 1559657086&id = 0000&titleid = 41000053&checksum = 5A58E17A6866CF056F8EE2F5D1648C9A
   PubMed Web of Science ®Google Scholar
• Barbovschi, M., Machackova, H., & Olafsson, K. (2015). Underage use of social network sites: It's about friends. Cyberpsychology, Behavior and Social Networking, 18(6), 328–332. https://doi.org/10.1089/cyber.2014.0553
   PubMed Web of Science ®Google Scholar
• Beilinson, J. (2014). What 12-year-olds do on social media: We ask a panel of girls (and their parents) about Instagram, Facebook, Kik, Snapchat, and more. Consumer Reports. https://www.consumerreports.org/cro/news/2014/10/kids-on-social-media/index.htm
   Google Scholar
• Blass, E. M., Anderson, D. R., Kirkorian, H. L., Pempek, T. A., Price, I., & Koleini, M. F. (2006). On the road to obesity: Television viewing increases intake of high-density foods. Physiology & Behavior, 88(4-5), 597–604. https://doi.org/10.1016/j.physbeh.2006.05.035
   PubMed Web of Science ®Google Scholar
• Bray, B. C., Lanza, S. T., & Collins, L. M. (2010). Modeling relations among discrete developmental processes: A general approach to associative latent transition analysis. Structural Equation Modeling, 17(4), 541–569. https://doi.org/10.1080/10705511.2010.510043
   PubMed Web of Science ®Google Scholar
• Bull, S. S., Levine, D. K., Black, S. R., Schmiege, S. J., & Santelli, J. (2012). Social media-delivered sexual health intervention: A cluster randomized controlled trial. American Journal of Preventive Medicine, 43(5), 467–474. https://doi.org/10.1016/j.amepre.2012.07.022
   PubMed Web of Science ®Google Scholar
• Bushman, B. J., Moeller, S. J., Konrath, S., & Crocker, J. (2012). Investigating the link between liking versus wanting self-esteem and depression in a nationally representative sample of American adults. Journal of Personality, 80(5), 1453–1469. https://doi.org/10.1111/j.1467-6494.2012.00781.x
   PubMed Web of Science ®Google Scholar
• Buxton, O. M., Chang, A. M., Spilsbury, J. C., Bos, T., Emsellem, H., & Knutson, K. L. (2015). Sleep in the modern family: Protective family routines for child and adolescent sleep. Sleep Health, 1(1), 15–27. https://doi.org/10.1016/j.sleh.2014.12.002. http://www.ncbi.nlm.nih.gov/pubmed/26779564 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712736/pdf/nihms683087.pdf
   PubMed Web of Science ®Google Scholar
• Casey, B. J., Jones, R. M., & Hare, T. A. (2008). The adolescent brain. Annals of the New York Academy of Sciences, 1124(1), 111–126. https://doi.org/10.1196/annals.1440.010
   PubMed Web of Science ®Google Scholar
• Council on Communications and Media. (2016). Media use in school-aged children and adolescents. Pediatrics, 138(5), e20162592. https://doi.org/10.1542/peds.2016-2592
   PubMed Web of Science ®Google Scholar
• Craig, C. L., Marshall, A. L., Sjostrom, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., Oja, P., Pratt, M., Ekelund, U., Yngve, A., Sallis, J. F., & Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 35(8), 1381–1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FB
   PubMed Web of Science ®Google Scholar
• de Jong, E., Visscher, T. L., HiraSing, R. A., Heymans, M. W., Seidell, J. C., & Renders, C. M. (2013). Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children. International Journal of Obesity, 37(1), 47–53. https://doi.org/10.1038/ijo.2011.244
   PubMed Web of Science ®Google Scholar
• Dillman, D. A., Smyth, J. D., & Christian, L. M. (2008). Internet, mail, and mixed-mode surveys, the tailored design method. John Wiley and Sons.
   Google Scholar
• Dinleyici, M., Carman, K. B., Ozturk, E., & Sahin-Dagli, F. (2016). Media use by children, and parents’ views on children's media usage. Interactive Journal of Medical Research, 5(2), e18. https://doi.org/10.2196/ijmr.5668
   PubMedGoogle Scholar
• Duggan, M. (2015). Mobile messaging and social media 2015. http://www.pewinternet.org/2015/08/19/mobile-messaging-and-social-media-2015/
   Google Scholar
• Duggan, M., & Brenner, J. (2013). Demographics of social media users - 2012.
   Google Scholar
• Duggan, M., Ellison, N. B., Lampe, C., Lenhart, A., & Madden, M. (2014). Social media update 2014. http://www.pewinternet.org/2015/01/09/social-media-update-2014/
   Google Scholar
• Dziak, J. J., Lanza, S. T., & Tan, X. (2014). Effect size, statistical power and sample size requirements for the bootstrap likelihood ratio Test in Latent class analysis. Structural Equation Modeling, 21(4), 534–552. https://doi.org/10.1080/10705511.2014.919819
   PubMed Web of Science ®Google Scholar
• Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” social capitol and college students’ Use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. https://doi.org/10.1111/j.1083-6101.2007.00367.x. http://jcmc.indiana.edu/vol12/issue4/ellison.html
   Google Scholar
• Garton, L., Haythornthwaite, C., & Wellman, B. (1999). Studying online social networks. Sage.
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Giedd, J. N. (2008). The teen brain: Insights from neuroimaging. The Journal of Adolescent Health, 42(4), 335–343. https://doi.org/10.1016/j.jadohealth.2008.01.007
   PubMed Web of Science ®Google Scholar
• Gordon, S. (2020). Why tween social media use impacts well-being later. verywellfamily. https://www.verywellfamily.com/social-media-use-impacts-tween-wellbeing-4164349
   Google Scholar
• Goris, J. M., Petersen, S., Stamatakis, E., & Veerman, J. L. (2010). Television food advertising and the prevalence of childhood overweight and obesity: A multicountry comparison. Public Health Nutrition, 13(7), 1003–1012. https://doi.org/10.1017/S1368980009992850
   PubMed Web of Science ®Google Scholar
• Guskin, E. (2018). Teenagers are fueling a competitive gaming tidal wave. Washington Post. https://www.washingtonpost.com/news/sports/wp/2018/03/09/teenagers-are-fueling-an-e-gaming-tidal-wave/
   Google Scholar
• Heen, M. S., Lieberman, J. D., & Miethe, T. D. (2014). A comparison of different online sampling approaches for generating national samples. Center for Crime and Justice Policy, 1(9), 1–8. doi:10.13140/RG.2.2.24283.62243
   Google Scholar
• Hensel, D. J. (2020). Using latent profile analysis and related approaches in adolescent health research. Journal Adolescent Health, 67(2), 153–154. https://doi.org/10.1016/j.jadohealth.2020.05.005
   PubMed Web of Science ®Google Scholar
• Jelenchick, L. A., Christakis, D. A., & Moreno, M. A. (2013). The Problematic and Risky Internet Use Screening scale: A confirmatory factor analysis. Paper presented at the excellence in paediatrics, Doha, Qatar.
   Google Scholar
• Jelenchick, L. A., Eickhoff, J., Christakis, D. A., Brown, R. L., Zhang, C., Benson, M., & Moreno, M. A. (2014). The Problematic and Risky Internet Use Screening Scale (PRIUSS) for adolescents and young adults: Scale development and refinement. Computers in Human Behavior, 35(0), 171–178. https://doi.org/10.1016/j.chb.2014.01.035
   Google Scholar
• Jelenchick, L. A., Eickhoff, J., Zhang, C., Kraninger, K., Christakis, D. A., & Moreno, M. A. (2015). Screening for adolescent problematic internet use: Validation of the Problematic and Risky Internet Use Screening Scale (PRIUSS). Academic Pediatrics, 15(6), 658–665. https://doi.org/10.1016/j.acap.2015.07.001
   PubMed Web of Science ®Google Scholar
• Jelenchick, L. A., Hawk, S. T., & Moreno, M. A. (2016). Problematic internet use and social networking site use among Dutch adolescents. International Journal of Adolescent Medicine and Health, 28(1), 119–121. https://doi.org/10.1515/ijamh-2014-0068
   PubMedGoogle Scholar
• Lenhart, A. (2015). Teens, social media & technology overview 2015. http://www.pewinternet.org/2015/04/09/teens-social-media-technology-2015/
   Google Scholar
• Len-Rios, M. E., Hughes, H. E., McKee, L. G., & Young, H. N. (2016). Early adolescents as publics: A national survey of teens with social media accounts, their media use preferences, parental mediation, and perceived internet literacy. Public Relations Review, 42(1), 101–108. https://doi.org/10.1016/j.pubrev.2015.10.003
   Web of Science ®Google Scholar
• Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41. https://doi.org/10.1016/j.ypmed.2016.01.001
   PubMed Web of Science ®Google Scholar
• Lo, Y., Mendell, N., & Rubin, D. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767–778. https://doi.org/10.1093/biomet/88.3.767
   Web of Science ®Google Scholar
• Lobelo, F., Dowda, M., Pfeiffer, K. A., & Pate, R. R. (2009). Electronic media exposure and its association with activity-related outcomes in female adolescents: Cross-sectional and longitudinal analyses. Journal of Physical Activity & Health, 6(2), 137–143. https://doi.org/10.1123/jpah.6.2.137. http://www.ncbi.nlm.nih.gov/pubmed/19420390
   PubMed Web of Science ®Google Scholar
• Moreno, M. A., Jelenchick, L. A., & Christakis, D. A. (2013). Problematic internet use among older adolescents: A conceptual framework. Computers in Human Behavior, 29(4), 1879–1887. https://doi.org/10.1016/j.chb.2013.01.053
   Web of Science ®Google Scholar
• Moreno, M. A., Kaseeska, K., Gorzekowski, J., Harris, D., Pbert, L., Davis, J., & Klein, J. D. (2016). Testing a pediatrician-delivered guidelines-based social media intervention. Paper presented at the national conference and exhibition, San Francisco, CA.
   Google Scholar
• Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016). The future of mental health care: Peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25(2), 113–122. https://doi.org/10.1017/S2045796015001067
   PubMed Web of Science ®Google Scholar
• Nickels, A., & Dimov, V. (2012). Innovations in technology: Social media and mobile technology in the care of adolescents with asthma. Current Allergy and Asthma Reports, 12(6), 607–612. https://doi.org/10.1007/s11882-012-0299-7
   PubMed Web of Science ®Google Scholar
• Odgers, C. L., & Jensen, M. R. (2020). Annual research review: Adolescent mental health in the digital age: Facts, fears, and future directions. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 61(3), 336–348. https://doi.org/10.1111/jcpp.13190
   PubMed Web of Science ®Google Scholar
• Park, J., & Yu, H. (2017). Recommendations on the sample sizes for multilevel latent class models. Educational and Psychological Measurement, 78(5), 737–761. https://doi.org/10.1177/0013164417719111
   PubMed Web of Science ®Google Scholar
• Przybylski, A. K., & Weinstein, N. (2017). A large-scale test of the goldilocks hypothesis. Psychological Science, 28(2), 204–215. https://doi.org/10.1177/0956797616678438
   PubMed Web of Science ®Google Scholar
• Sessarego, S. N., Siller, L., & Edwards, K. M. (2021). Patterns of violence victimization and perpetration among adolescents using Latent class analysis. Journal of Interpersonal Violence, 36(19–20), 9167–9186. https://doi.org/10.1177/0886260519862272
   PubMed Web of Science ®Google Scholar
• Spear, L. P. (2000). The adolescent brain and age-related behavioral manifestations. Neuroscience & Biobehavioral Reviews, 24(4), 417–463. https://doi.org/10.1016/s0149-7634(00)00014-2
   PubMed Web of Science ®Google Scholar
• Spilsbury, J. C., Drotar, D., Rosen, C. L., & Redline, S. (2007). The Cleveland adolescent sleepiness questionnaire: A new measure to assess excessive daytime sleepiness in adolescents. Journal of Clinical Sleep Medicine, 03(6), 603–612. https://doi.org/10.5664/jcsm.26971. https://www.ncbi.nlm.nih.gov/pubmed/17993042
   Google Scholar
• Tandon, P. S., Zhou, C., Sallis, J. F., Cain, K. L., Frank, L. D., & Saelens, B. E. (2012). Home environment relationships with children's physical activity, sedentary time, and screen time by socioeconomic status. The international Journal of Behavioral Nutrition and Physical Activity, 9(1), 88. https://doi.org/10.1186/1479-5868-9-88
   PubMedGoogle Scholar
• Thompson, L. F., Surface, E. A., Martin, D. L., & Sanders, M. G. (2003). From paper to pixels: Moving personnel surveys to the Web. Personnel Psychology, 56(1), 197–227. https://doi.org/10.1111/j.1744-6570.2003.tb00149.x
   Web of Science ®Google Scholar
• Twenge, J. M. (2020). Why increases in adolescent depression may be linked to the technological environment. Current Opinion in Psychology, 32, 89–94. https://doi.org/10.1016/j.copsyc.2019.06.036
   PubMed Web of Science ®Google Scholar
• Wahnschaffe, A., Haedel, S., Rodenbeck, A., Stoll, C., Rudolph, H., Kozakov, R., and Kunz, D. (2013). Out of the lab and into the bathroom: Evening short-term exposure to conventional light suppresses melatonin and increases alertness perception. International journal of molecular sciences, 14(2), 2573–2589. https://doi.org/10.3390/ijms14022573
   PubMed Web of Science ®Google Scholar
• Wong, C. A., Merchant, R. M., & Moreno, M. A. (2014). Using social media to engage adolescents and young adults with their health. Healthcare, 2(4), 220–224. https://doi.org/10.1016/j.hjdsi.2014.10.005
   Google Scholar
• Wright, K. B. (2005). Researching internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and Web survey services. Journal of Computer-Mediated Communication, 10(3), https://doi.org/10.1111/j.1083-6101.2005.tb00259.x
   Web of Science ®Google Scholar
• Xiao, Y. Y., Romanelli, M., & Lindsey, M. A. (2019). A latent class analysis of health lifestyles and suicidal behaviors among US adolescents. Journal of Affective Disorders, 255, 116–126. https://doi.org/10.1016/j.jad.2019.05.031
   PubMed Web of Science ®Google Scholar