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Digital Media Use in Transitional-Age Youth: Challenges and Opportunities

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Transition-Age Youth Mental Health Care

Abstract

Contemporary young adults differ from those of previous generations in their heavy engagement with screen media, including increasingly sophisticated video gaming and social media. This change in lifestyle has significant implications for their mental health and its treatment, for good and ill. Young adults typically prioritize screen media habits, thus displacing risky behavior such as recreational drug and alcohol use, sexual intercourse, and violence. Yet this also displaces healthy habits including adequate sleep, reading books, and in-person socializing. Some young adults develop an impairing but treatable behavioral addiction to gaming and other screen media, although names and definitions regarding the phenomenon vary greatly. Digital media behaviors interact with depression, anxiety, ADHD, and autism spectrum disorders in distinct manners which must be assessed and addressed in treatment. Psychiatrists should incorporate aspects of digital media habits and experiences into their assessments and formulations of young adult patients, adapting practice to the highly digitized lives of this generation.

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References

  1. AACAP. Resources for Youth. 2019. https://www.aacap.org/AACAP/Families_and_Youth/Resource_Centers/Depression_Resource_Center/Resources_for_Youth_Depression.aspx.

  2. Agnew-Blais JC, Polanczyk GV, Danese A, Wertz J, Moffitt TE, Arseneault L. Evaluation of the persistence, remission, and emergence of attention-deficit/hyperactivity disorder in Young adulthood. JAMA Psychiat. 2016;73(7):713–20.

    Article  Google Scholar 

  3. Andreassen CS, Pallesen S, Griffiths MD. The relationship between addictive use of social media, narcissism, and self-esteem: findings from a large national survey. Addict Behav. 2017;64:287–93.

    Article  PubMed  Google Scholar 

  4. Anthes E. Mental health: There’s an app for that. Nature. 2016;532(7597):20–3.

    Article  CAS  PubMed  Google Scholar 

  5. APA. App evaluation model. https://www.psychiatry.org/psychiatrists/practice/mental-health-apps/app-evaluation-model. Accessed 15 Jul 2019.

  6. Bakker D, Rickard N. Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism. J Affect Disord. 2018;227:432–42.

    Article  PubMed  Google Scholar 

  7. Bakker D, Kazantzis N, Rickwood D, Rickard N. Mental health smartphone apps: review and evidence-based recommendations for future developments. JMIR Men Health. 2016;3(1):e7.

    Article  Google Scholar 

  8. Baumgartner SE, van der Schuur WA, Lemmens JS, te Poel F. The relationship between media multitasking and attention problems in adolescents: results of two longitudinal studies. Hum Commun Res. 2018;44(1):3–30.

    Article  Google Scholar 

  9. Beard KW, Wolf EM. Modification in the proposed diagnostic criteria for internet addiction. Cyberpsychol Behav. 2001;4(3):377–83.

    Article  CAS  PubMed  Google Scholar 

  10. Becker SP, Lienesch JA. Nighttime media use in adolescents with ADHD: links to sleep problems and internalizing symptoms. Sleep Med. 2018;51:171–8.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Bonetti I, Campbell M, Gilmore L. The relationship of loneliness and social anxiety with Children’s and Adolescents’ online communication. Cyberpsychol Behav Soc Netw. 2009;13(3):279–85.

    Article  Google Scholar 

  12. Booker C, Kelly Y, Sacker A. Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK. BMC Public Health. 2018;18(1):321.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Bostwick JM, Bucci JA. Internet sex addiction treated with naltrexone. Mayo Clin Proc. 2008;83(2):226–30.

    Article  PubMed  Google Scholar 

  14. Brewer J. Mindfulness training for addictions: has neuroscience revealed a brain hack by which awareness subverts the addictive process? Curr Opin Psychol. 2019;28:198–203.

    Article  PubMed  Google Scholar 

  15. Brown RC, Fischer T, Goldwich AD, Keller F, Young R, Plener PL. Cutting: non-suicidal self-injury (NSSI) on Instagram. Psychol Med. 2018;48(2):337–46.

    Article  CAS  PubMed  Google Scholar 

  16. Burke M, Kraut R, Williams D. Social use of computer-mediated communication by adults on the autism spectrum. In: Proceedings of the 2010 ACM conference on computer supported cooperative work. ACM. 2010. pp. 425–434.

    Google Scholar 

  17. Carl E, Stein AT, Levihn-Coon A, et al. Virtual reality exposure therapy for anxiety and related disorders: a meta-analysis of randomized controlled trials. J Anxiety Disord. 2019;61:27–36.

    Article  PubMed  Google Scholar 

  18. Carson NJ, Gansner M, Khang J. Assessment of digital media use in the adolescent psychiatric evaluation. Child Adolesc Psychiatr Clin N Am. 2018;27(2):133–43.

    Article  PubMed  Google Scholar 

  19. Carta MG, Zairo F, Mellino G, Hardoy MC. Add-on quetiapine in the treatment of major depressive disorder in elderly patients with cerebrovascular damage. Clin Pract Epidemiol Ment Health. 2007;3:28.

    Google Scholar 

  20. Caye A, Rocha TB, Anselmi L, Murray J, Menezes AM, Barros FC, Gonçalves H, Wehrmeister F, Jensen CM, Steinhausen HC, Swanson JM, Kieling C, Rohde LA. Attention-deficit/hyperactivity disorder trajectories from childhood to Young adulthood: evidence from a birth cohort supporting a late-onset syndrome. JAMA Psychiat. 2016;73(7):705–12.

    Article  Google Scholar 

  21. Chan S, Torous J, Hinton L, Yellowlees P. Towards a framework for evaluating Mobile mental health apps. Telemed J E Health. 2015;21(12):1038–41.

    Article  PubMed  Google Scholar 

  22. Chandrashekar P. Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps. mHealth. 2018;4:6.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Comtois KA, Kerbrat AH, DeCou CR, et al. Effect of augmenting standard care for military personnel with brief caring text messages for suicide prevention: a randomized clinical trial. JAMA Psychiat. 2019;76(5):474–83.

    Google Scholar 

  24. Cuijpers P, Noma H, Karyotaki E, Cipriani A, Furukawa TA. Effectiveness and acceptability of cognitive behavior therapy delivery formats in adults with depression: a network meta-analysis. JAMA Psychiat. 2019; 76(7): 700–7.

    Google Scholar 

  25. Davidson J. Autistic culture online: virtual communication and cultural expression on the spectrum. Soc Cult Georg. 2008;9(7):791–806.

    Article  Google Scholar 

  26. De Sousa A. Fluoxetine in the management of pornography addiction. Indian J Ment Health. 2016;3(3):372–4.

    Article  Google Scholar 

  27. Dell’Osso B, Hadley S, Allen A, Baker B, Chaplin WF, Hollander E. Escitalopram in the treatment of impulsive-compulsive internet usage disorder: an open-label trial followed by a double-blind discontinuation phase. J Clin Psychiatry. 2008;69(3):452–6.

    Google Scholar 

  28. Dickens C, Simon S. A tale of two cities. New York: Vintage Books; 1990.

    Google Scholar 

  29. Donker T, Cornelisz I, van Klaveren C, et al. Effectiveness of self-guided app-based virtual reality cognitive behavior therapy for acrophobia: a randomized clinical trial. JAMA Psychiat. 2019;76(7):682–90.

    Google Scholar 

  30. Dubad M, Winsper C, Meyer C, Livanou M, Marwaha S. A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people. Psychol Med. 2018;48(2):208–28.

    Article  CAS  PubMed  Google Scholar 

  31. Dunlop S, More E, Romer D. Where do youth learn about suicides on the internet, and what influence does this have on suicidal ideation? J Child Psychol Psychiatry. 2011;52(10):1073–80.

    Article  PubMed  Google Scholar 

  32. Englander E. Risky business: talking with your patients about Cyberbullying and sex. Child Adolesc Psychiatr Clin N Am. 2018;27(2):287–305.

    Article  PubMed  Google Scholar 

  33. Evren B, Evren C, Dalbudak E, Topcu M, Kutlu N. Relationship of internet addiction severity with probable ADHD and difficulties in emotion regulation among young adults. Psychiatry Res. 2018;269:494–500.

    Article  PubMed  Google Scholar 

  34. Evren B, Evren C, Dalbudak E, Topcu M, Kutlu N. The impact of depression, anxiety, neuroticism, and severity of internet addiction symptoms on the relationship between probable ADHD and severity of insomnia among young adults. Psychiatry Res. 2019;271:726–31.

    Article  PubMed  Google Scholar 

  35. Finkelhor D. Commentary: cause for alarm? Youth and internet risk research--a commentary on Livingstone and Smith (2014). J Child Psychol Psychiatry. 2014;55(6):655–8.

    Article  PubMed  Google Scholar 

  36. Gansner M, Belfort E, Cook B, et al. Problematic internet use and associated high-risk behavior in an adolescent clinical sample: results from a survey of psychiatrically hospitalized youth. Cyberpsychol Behav Soc Netw. 2019;22(5):349–54.

    Article  PubMed  Google Scholar 

  37. Gillespie-Lynch K, Kapp SK, Shane-Simpson C, Smith DS, Hutman T. Intersections between the autism Spectrum and the internet: perceived benefits and preferred functions of computer-mediated communication. Intellect Dev Disabil. 2014;52(6):456–69. https://doi.org/10.1352/1934-9556-52.6.456.

    Article  PubMed  Google Scholar 

  38. Gitlow L, Janney B, Lemery C, McDonald J, McGinley B, Rabideau K. How college students diagnosed with anxiety disorders and/or depression use everyday technology. Disabil Rehabil Assist Technol. 2018;14:1–8.

    Google Scholar 

  39. Godley MD, Godley SH, Dennis ML, Funk RR, Pasetti LL, Petry NM. A randomized trial of assertive continuing care and contingency management for adolescents with substance use disorders. J Consult Clin Psychol. 2014;82(1):40–51.

    Article  PubMed  Google Scholar 

  40. Gonzales R, Douglas Anglin M, Glik DC. Exploring the feasibility of text messaging to support substance abuse recovery among youth in treatment. Health Educ Res. 2014;29(1):13–22.

    Article  PubMed  Google Scholar 

  41. Gorucu S, Murphy D, Foster D, Hanagriff R, Ewing J. Technology use among youth while operating farm equipment. J Agromedicine. 2018;23(4):305–14.

    Article  PubMed  Google Scholar 

  42. Grant JE, Chamberlain SR, Odlaug BL, Potenza MN, Kim SW. Memantine shows promise in reducing gambling severity and cognitive inflexibility in pathological gambling: a pilot study. Psychopharmacology. 2010;212(4):603–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Grubbs J, Kraus S, Perry S. Self-reported addiction to pornography in a nationally representative sample: the roles of use habits, religiousness, and moral incongruence. J Behav Addict. 2019;8(1):88–93.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Hale LE. Digital media and sleep health among adolescents: Does sleep mediate the association between screen time and depressive symptoms? Poster presented at: the 66th Annual Meeting of the American Academy of Child and Adolescent Psychiatry, 2019 October 14–19; Chicago, IL.

    Google Scholar 

  45. Hale L, Kirschen GW, LeBourgeois MK, et al. Youth screen media habits and sleep: sleep-friendly screen behavior recommendations for clinicians, educators, and parents. Child Adolesc Psychiatr Clin N Am. 2018;27(2):229–45.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Han DH, Lee YS, Na C, Ahn JY, Chung US, Daniels MA, Haws CA, Renshaw PF. The effect of methylphenidate on Internet video game play in children with attention-deficit/hyperactivity disorder. Compr Psychiatry. 2009;50(3):251–6.

    Google Scholar 

  47. Han DH, Hwang JW, Renshaw PF. Bupropion sustained release treatment decreases craving for video games and cue-induced brain activity in patients with Internet video game addiction. Exp Clin Psychopharmacol. 2010;18(4):297–304.

    Google Scholar 

  48. Hawryluk. Bulletin HMT. Supply of psychiatrists shrinks. 2016. Accessed 18 Jul 2019.

    Google Scholar 

  49. Ho R, Zhang M, Tsang T, Toh A, Pan F, Lu Y, Cheng C, Yip P, Lam L, Lai C-M, Watanabe H, Mak K-K. The association between internet addiction and psychiatric co-morbidity: a meta-analysis. BMC Psychiatry. 2014;14:183.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Horsch CH, Lancee J, Griffioen-Both F, et al. Mobile phone-delivered cognitive Behavioral therapy for insomnia: a randomized waitlist controlled trial. J Med Internet Res. 2017;19(4):e70.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Hussain Z, Griffiths MD. Problematic social networking site use and comorbid psychiatric disorders: a systematic review of recent large-scale studies. Front Psych. 2018;9:686.

    Article  Google Scholar 

  52. Jelenchick LA, Eickhoff J, Christakis DA, et al. The problematic and risky internet use screening scale (PRIUSS) for adolescents and Young adults: scale development and refinement. Comput Hum Behav. 2014;35:171–8.

    Article  Google Scholar 

  53. John A, Glendenning AC, Marchant A, Montgomery P, Stewart A, Wood S, Lloyd K, Hawton K. Self-harm, suicidal behaviours, and cyberbullying in children and Young people: systematic review. J Med Internet Res. 2018;19;20(4):129.

    Article  Google Scholar 

  54. Jones JJ, Kirschen GW, Kancharla S, Hale L. Association between late-night tweeting and next-day game performance among professional basketball players. Sleep Health. 2019;5(1):68–71.

    Article  PubMed  Google Scholar 

  55. Jordan CJ, Caldwell-Harris CL. Understanding differences in Neurotypical and autism spectrum special interests through internet forums. Intellect Dev Disabil. 2012a;50(5):391–402. https://doi.org/10.1352/1934-9556-50.5.391.

    Article  PubMed  Google Scholar 

  56. Jordan CJ, Caldwell-Harris CL. Understanding differences in neurotypical and autism spectrum special interests through internet forums. Intellect Dev Disabil. 2012b;50(5):391–402. https://doi.org/10.1352/1934-9556-50.5.391.

    Article  PubMed  Google Scholar 

  57. Junco R, Cotten SR. No a 4 U: the relationship between multitasking and academic performance. Comput Educ. 2012;59(2):505–14.

    Article  Google Scholar 

  58. Kampmann IL, Emmelkamp PM, Hartanto D, Brinkman WP, Zijlstra BJ, Morina N. Exposure to virtual social interactions in the treatment of social anxiety disorder: a randomized controlled trial. Behav Res Ther. 2016;77:147–56.

    Article  PubMed  Google Scholar 

  59. Keracher M. #StatusofMind [Internet]. Rsph.org.uk. 2019 [cited 19 July 2019]. Available from: https://www.rsph.org.uk/our-work/campaigns/status-of-mind.html.

  60. Kim HJ. Exercise rehabilitation for smartphone addiction. J Exerc Rehabil. 2013;9(6):500–5.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Kim HJ, Min JY, Kim HJ, Min KB. Accident risk associated with smartphone addiction: a study on university students in Korea. J Behav Addict. 2017;6(4):699–707.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Koffel E, Kuhn E, Petsoulis N, et al. A randomized controlled pilot study of CBT-I coach: feasibility, acceptability, and potential impact of a mobile phone application for patients in cognitive behavioral therapy for insomnia. Health Informatics J. 2018;24(1):3–13.

    Article  PubMed  Google Scholar 

  63. Korchmaros J, Ybarra M, Mitchell K. Adolescent online romantic relationship initiation: differences by sexual and gender identification. J Adolesc. 2015;40:54–64.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Kuhn E, van der Meer C, Owen JE, et al. PTSD coach around the world. mHealth. 2018;4:15.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Kuo MH, Orsmond GI, Coster WJ, Cohn ES. Media use among adolescents with autism spectrum disorder. Autism. 2014;18(8):914–23.

    Article  PubMed  Google Scholar 

  66. Kuss DJ, Lopez-Fernandez O. Internet addiction and problematic internet use: a systematic review of clinical research. World J Psychiatry. 2016;6(1):143–76. https://doi.org/10.5498/wjp.v6.i1.143. eCollection 2016 Mar 22.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Landoll R, La Greca A, Lai B, Chan S, Herge W. Cyber victimization by peers: prospective associations with adolescent social anxiety and depressive symptoms. J Adolesc. 2015;42:77–86.

    Article  PubMed  Google Scholar 

  68. Larsen ME, Huckvale K, Nicholas J, et al. Using science to sell apps: evaluation of mental health app store quality claims. NPJ Dig Med. 2019;2:18.

    Article  Google Scholar 

  69. Leménager T, Hoffmann S, Dieter J, Reinhard I, Mann K, Kiefer F. The links between healthy, problematic, and addicted internet use regarding comorbidities and self-concept-related characteristics. J Behav Addict. 2018;7(1):31–43.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Li W, Zhang W, Xiao L, Nie J. The association of internet addiction symptoms with impulsiveness, loneliness, novelty seeking and behavioral inhibition system among adults with attention-deficit/hyperactivity disorder (ADHD). Psychiatry Res. 2016;243:357–64.

    Article  PubMed  Google Scholar 

  71. Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz JB, Hoffman BL, Giles LM, Primack BA. Association between social media use and depression among U.S. young adults. Dep Anx. 2016;33(4):784–94.

    Google Scholar 

  72. Link2 Health Solutions I. https://my3app.org/. Accessed 15 Jul 2019.

  73. Lopez WM, Lustig SL. Telepsychiatry: watching your back while staying in the black. Psychiatr Times. 2015;32(8):41–4.

    Google Scholar 

  74. Lorenz T, Frischling C, Cuadros R, Heinitz K. Autism and overcoming job barriers: comparing job-related barriers and possible solutions in and outside of autism-specific employment. PLoS One. 2016;11(1):e0147040.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  75. Lui J, Nie J, Wang Y. Effects of group Counseling programs, cognitive Behavioral therapy, and sports intervention on internet addiction in East Asia: a systematic review and meta-analysis. Int J Environ Res Public Health. 2017;14(12):1470.

    Article  Google Scholar 

  76. Lup K, Trub L, Rosenthal L. Instagram #Instasad?: exploring associations among Instagram use, depressive symptoms, negative social comparison, and strangers followed. Cyberpsychol Behav Soc Netw. 2015;18(5):247–52.

    Article  PubMed  Google Scholar 

  77. Machmutow K, Perren S, Sticca F, Alsaker F. Peer victimisation and depressive symptoms: can specific coping strategies buffer the negative impact of cybervictimisation? Emot Behav Diffic. 2012;17(3–4):403–20.

    Article  Google Scholar 

  78. Marchant A, Hawton K, Stewart A, Montgomery P, Singaravelu V, Lloyd K, Purdy N, Daine K, John A. A systematic review of the relationship between internet use, self-harm and suicidal behaviour in young people: the good, the bad and the unknown. PLoS One. 2017;12(8):e0181722. Erratum in: PLoS One. 2018;13(3)

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  79. Marino C, Gini G, Vieno A, Spada MM. The associations between problematic Facebook use, psychological distress and well-being among adolescents and young adults: a systematic review and meta-analysis. J Affect Disord. 2018;226:274–81.

    Article  PubMed  Google Scholar 

  80. Marmet S, Studer J, Grazioli VS, Gmel G. Bidirectional associations between self-reported gaming disorder and adult attention deficit hyperactivity disorder: evidence from a sample of Young Swiss men. Front Psych. 2018;11(9):649.

    Article  Google Scholar 

  81. Martinez-Pecino R, Garcia-Gavilan M. Likes and problematic Instagram use: the moderating role of self-esteem. Cyberpsychol Behav Soc Netw. 2019;22(6):412–6. https://doi.org/10.1089/cyber.2018.0701. Epub 2019 May 20

    Article  PubMed  Google Scholar 

  82. Masuda N, Kurahashi I, Onari H. Suicide ideation of individuals in online social networks. PLoS One. 2013;8(4):e62262.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Matamura M, Tochigi M, Usami S, Yonehara H, Fukushima M, Nishida A, Togo F, Sasaki T. Associations between sleep habits and mental health status and suicidality in a longitudinal survey of monozygotic twin adolescents. J Sleep Res. 2014;23(3):292–6.

    Article  Google Scholar 

  84. Moran MJ, Coons JM. Effects of a smart-phone application on psychological, physiological, and performance variables in college-aged individuals while running. Int J Exerc Sci. 2015;8(2):1.

    Google Scholar 

  85. Moreno MA, Arseniev-Koehler A, Selkie E. Development and testing of a 3-item screening tool for problematic internet use. J Pediatr. 2016;176:167–72.e161

    Article  PubMed  PubMed Central  Google Scholar 

  86. Mori C, Temple J, Browne D, Madigan S. Association of Sexting with Sexual Behaviors and Mental Health among Adolescents. JAMA Pediatr. 2019;73(8):770–9.

    Article  Google Scholar 

  87. Nereim C, Bickham D, Rich M. A primary care pediatrician’s guide to assessing problematic interactive media use. Curr Opin Pediatr. 2019;31(4):435–41.

    Article  PubMed  Google Scholar 

  88. Nesi J, Prinstein M. Using social Media for Social Comparison and Feedback-Seeking: gender and popularity moderate associations with depressive symptoms. J Abnorm Child Psychol. 2015;43(8):1427–38.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Nie J, Zhang W, Liu Y. Exploring depression, self-esteem and verbal fluency with different degrees of internet addiction among Chinese college students. Compr Psychiatry. 2017;72:114–20.

    Article  PubMed  Google Scholar 

  90. Oberst U, Wegmann E, Stodt B, Brand M, Chamarro A. Negative consequences from heavy social networking in adolescents: the mediating role of fear of missing out. J Adolesc. 2017;55:51–60.

    Article  PubMed  Google Scholar 

  91. Palmier-Claus JE, Rogers A, Ainsworth J, et al. Integrating mobile-phone based assessment for psychosis into people’s everyday lives and clinical care: a qualitative study. BMC Psychiatry. 2013;13:34.

    Article  PubMed  PubMed Central  Google Scholar 

  92. Park JH, Lee YS, Sohn JH, Han DH. Effectiveness of atomoxetine and methylphenidate for problematic online gaming in adolescents with attention deficit hyperactivity disorder. Hum Psychopharmacol. 2016;31(6):427–32.

    Google Scholar 

  93. Pluhar E, Kavanaugh JR, Levinson JA, Rich M. Problematic interactive media use in teens: comorbidities, assessment, and treatment. Psychol Res Behav Manag. 2019;12:447–55.

    Article  PubMed  PubMed Central  Google Scholar 

  94. Plummer F, Manea L, Trepel D, McMillan D. Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. Gen Hosp Psychiatry. 2016;39:24–31.

    Article  PubMed  Google Scholar 

  95. Poyntz SR, Pedri J. Youth and media culture. Oxford University Press; 2018. Available at https://doi.org/10.1093/acrefore/9780190264093.013.75

  96. Prizant-Passal S, Shechner T, Aderka I. Social anxiety and internet use - a meta-analysis: what do we know? What are we missing? Comput Hum Behav. 2016;62:221–9.

    Article  Google Scholar 

  97. Radovic A, Vona PL, Santostefano AM, Ciaravino S, Miller E, Stein BD. Smartphone applications for mental health. Cyberpsychol Behav Soc Netw. 2016;19(7):465–70.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Raudsepp L, Kais K. Longitudinal associations between problematic social media use and depressive symptoms in adolescent girls. Prev Med Rep. 2019;21:15.

    Google Scholar 

  99. Reid D, Weigle P. Social media use among adolescents: benefits and risks. Adolesc Psychiatry. 2014;4(2):73–80.

    Article  Google Scholar 

  100. Rideout V. The common sense census: media use by tweens and teens | common sense media [Internet]. Commonsensemedia.org. 2019 [cited 19 July 2019]. Available from: https://www.commonsensemedia.org/research/the-common-sense-census-media-use-by-tweens-and-teens.

  101. Rideout V, Fox S, Well Being Trust. Digital health practices, social media use, and mental well-being among teens and young adults in the U.S. articles, Abstracts, and Reports. 2018; 1093.

    Google Scholar 

  102. Rijcken C. Chapter 15 - digital therapeutic mangroves. In: Rijcken C, editor. Pharmaceutical care in digital revolution. Academic Press; 2019:169–179.

    Google Scholar 

  103. Roberts D. Kids & media @ the new millennium. Menlo Park CA: Henry J. Kaiser Family Foundation; 1999. Available at https://www.kff.org/wp-content/uploads/2013/01/kids-media-the-new-millennium-report.pdf.

  104. Roepke AM, Jaffee SR, Riffle OM, McGonigal J, Broome R, Maxwell B. Randomized controlled trial of SuperBetter, a smartphone-based/internet-based self-help tool to reduce depressive symptoms. Games Health J. 2015;4(3):235–46.

    Article  PubMed  Google Scholar 

  105. Rosenthal S, Buka S, Marshall B, Carey K, Clark M. Negative experiences on Facebook and depressive symptoms among Young adults. J Adolesc Health. 2016;59(5):510–6.

    Article  PubMed  Google Scholar 

  106. Rozgonjuk D, Saal K, Taht K. Problematic smartphone use, deep and surface approaches to learning, and social media use in lectures. Int J Environ Res Public Health. 2018;15(1):92.

    Article  PubMed Central  Google Scholar 

  107. Sacchetti GM, Lefler EK. ADHD symptomology and social functioning in college students. J Atten Disord. 2017;21(12):1009–19.

    Article  PubMed  Google Scholar 

  108. Santo K, Richtering SS, Chalmers J, Thiagalingam A, Chow CK, Redfern J. Mobile phone apps to improve medication adherence: a systematic stepwise process to identify high-quality apps. JMIR Mhealth Uhealth. 2016;4(4):341–4.

    Article  Google Scholar 

  109. Santos V, Nardi AE, King AL. Treatment of internet addiction in patient with panic disorder and obsessive compulsive disorder: a case report. CNS Neurol Disord Drug Targets. 2015;14(3):341–4.

    Article  CAS  PubMed  Google Scholar 

  110. Sattar P, Ramaswamy S. Internet gaming addiction. Can J Psychiatr. 2004;49(12):869–70.

    Article  Google Scholar 

  111. Schlosser DA, Campellone TR, Truong B, et al. Efficacy of PRIME, a Mobile app intervention designed to improve motivation in Young people with schizophrenia. Schizophr Bull. 2018;44(5):1010–20.

    Article  PubMed  PubMed Central  Google Scholar 

  112. Schupak C. Case report: lamotrigine/fluoxetine combination in the treatment of compulsive sexual behavior. Prog Neuro-Psychopharmacol Biol Psychiatry. 2007;31(6):1337–8. Epub 2007 Apr 25

    Article  Google Scholar 

  113. Sedgwick R, Epstein S, Dutta R, Ougrin D. Social media, internet use and suicide attempts in adolescents. Curr Opin Psychiatry. 2019;32(6):534–41.

    Google Scholar 

  114. Shafi RMA, Romanowicz M, Croarkin PE. SwitchedOn: a call for assessing social media use of adolescents. Lancet Psychiatry. 2018;5(11):e27.

    Article  PubMed  Google Scholar 

  115. Shah J, Das P, Muthiah N, Milanaik R. New age technology and social media: adolescent psychosocial implications and the need for protective measures. Curr Opin Pediatr. 2019;31(1):148–56.

    Article  PubMed  Google Scholar 

  116. Shensa A, Escobar-Viera CG, Sidani JE, Bowman ND, Marshal MP, Primack BA. Problematic social media use and depressive symptoms among U.S. young adults: a nationally-representative study. Soc Sci Med. 2017;182:150–7.

    Article  PubMed  PubMed Central  Google Scholar 

  117. Shensa A, Sidani J, Dew M, Escobar-Viera C, Primack B. Social media use and depression and anxiety symptoms: a cluster analysis. Am J Health Behav. 2018;42(2):116–28.

    Article  PubMed  PubMed Central  Google Scholar 

  118. Shih S-I. A null relationship between media multitasking and Well-being. PLoS One. 2013;8(5):e64508.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  119. Smith L, Liu B, Degenhardt L, Richters J, Patton G, Wand H, et al. Is sexual content in new media linked to sexual risk behaviour in young people? A systematic review and meta-analysis. Sex Health. 2016;13(6):501.

    Article  PubMed  Google Scholar 

  120. Spada MS. An overview of problematic internet use. Addict Behav. 2014;39(1):3–6.

    Article  PubMed  Google Scholar 

  121. Stiglic N, Viner R. Effects of screentime on the health and Well-being of children and adolescents: a systematic review of reviews. BMJ Open. 2019;9(1):e023191.

    Article  PubMed  PubMed Central  Google Scholar 

  122. Strohmaier H, Murphy M, DeMatteo D. Youth sexting: prevalence rates, driving motivations, and the deterrent effect of legal consequences. Sex Res Soc Policy. 2014;11(3):245–55.

    Article  Google Scholar 

  123. Swing E, Gentile D, Anderson C, Walsh D. Television and video game exposure and the development of attention problems. Pediatrics. 2010;126(2):214–21.

    Article  PubMed  Google Scholar 

  124. Tateno M, Teo AR, Shirasaka T, Tayama M, Watabe M, Kato TA. Internet addiction and self-evaluated attention-deficit hyperactivity disorder traits among Japanese college students. Psychiatry Clin Neurosci. 2016;70(12):567–72.

    Article  PubMed  PubMed Central  Google Scholar 

  125. Thorisdottir I, Sigurvinsdottir R, Asgeirsdottir B, Allegrante J, Sigfusdottir I. Active and passive social media use and symptoms of anxiety and depressed mood among Icelandic adolescents. Cyberpsychol Behav Soc Netw. 2019;22(8):535–42.

    Google Scholar 

  126. Torous J. Evaluating smartphone health apps: 5 key step. 2017. https://www.psychiatrictimes.com/telepsychiatry/evaluating-smartphone-health-apps-5-key-steps.

    Google Scholar 

  127. Torous J, Luo J. Mental health apps: what to tell patients. Curr Psychiatr Ther. 2018;17:21–5.

    Google Scholar 

  128. Truelove V, Freeman J, Davey J. “I Snapchat and drive!” a mixed methods approach examining snapchat use while driving and deterrent perceptions among young adults. Accid Anal Prev. 2019;131:146–56.

    Article  PubMed  Google Scholar 

  129. Turel O, Cavagnaro DR, Meshi D. Short abstinence from online social networking sites reduces perceived stress, especially in excessive users. Psychiatry Res. 2018;270:947–53.

    Article  PubMed  Google Scholar 

  130. Twenge JM. iGen: why today’s super-connected kids are growing up less rebellious, more tolerant, less happy— and completely unprepared for adulthood (and what this means for the rest of us). New York: Atria Books; 2017.

    Google Scholar 

  131. Twenge J, Cooper A, Joiner T, Duffy M, Binau S. Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017. J Abnorm Psychol. 2019;128(3):185–99.

    Article  PubMed  Google Scholar 

  132. Vannucci A, Flannery K, Ohannessian C. Social media use and anxiety in emerging adults. J Affect Disord. 2017;207:163–6.

    Article  PubMed  Google Scholar 

  133. Vogel E, Rose J, Okdie B, Eckles K, Franz B. Who compares and despairs? The effect of social comparison orientation on social media use and its outcomes. Personal Individ Differ. 2015;86:249–56.

    Article  Google Scholar 

  134. Waltz E. Pear approval signals FDA readiness for digital treatments. Nat Biotechnol. 2018;36(6):481–2.

    Article  CAS  PubMed  Google Scholar 

  135. Wang BQ, Yao NQ, Zhou X, Liu J, Lv ZT. The association between attention deficit/hyperactivity disorder and internet addiction: a systematic review and meta-analysis. BMC Psychiatry. 2017;17:260.

    Article  PubMed  PubMed Central  Google Scholar 

  136. Wardeiner A, Palaganas C, Londrico D, Candow L. The relationship between social media use and negative mental health outcomes. [conference presentation] 2017 Cleveland State Univerity, Cleveland; United States. http://www.gupiaozenmewan.net/sites/default/files/20%20B.pdf.

  137. Weinstein A, Dorani D, Elhadif R, Bukovza Y, Yarmulnik A, Dannon P. Internet addiction is associated with social anxiety in young adults. Ann Clin Psych. 2015;27(1):4–9.

    Google Scholar 

  138. Wilmer HH, Sherman LE, Chein JM. Smartphones and cognition: a review of research exploring the links between mobile technology habits and cognitive functioning. Front Psychol. 2017;8:605.

    Article  PubMed  PubMed Central  Google Scholar 

  139. Wolniewicz CA, Tiamiyu MF, Weeks JW, Elhai JD. Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Res. 2018;262:618–23.

    Article  PubMed  Google Scholar 

  140. Wooldridge MB, Shapka J. Playing with technology: mother–toddler interaction scores lower during play with electronic toys. J Appl Dev Psychol. 2012;33(5):211–8.

    Article  Google Scholar 

  141. Wu X, Tao S, Zhang Y, Zhang S, Tao F. Low physical activity and high screen time can increase the risks of mental health problems and poor sleep quality among Chinese college students. PLoS One. 2015;10(3):e0119607.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  142. Yen JY, Liu TL, Wang PW, Chen CS, Yen CF, Ko CH. Association between internet gaming disorder and adult attention deficit and hyperactivity disorder and their correlates: impulsivity and hostility. Addict Behav. 2017;64:308–13.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Natchaug Hospital, Mansfield Center, CT, USA

    Paul Weigle

  2. USF Health Department of Psychiatry and Behavioral Neurosciences, Tampa, FL, USA

    Kristopher Kaliebe

  3. UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA

    Kristin Dalope

  4. Austin, TX, USA

    Tracy Asamoah

  5. Cairns Hospital and Hinterland Service, Cairns, QLD, Australia

    Reem Mohamed Abdel Shafi

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  1. Student Health Center, University of California, Irvine, Irvine, CA, USA

    Vivien Chan

  2. Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA

    Jennifer Derenne

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Weigle, P., Kaliebe, K., Dalope, K., Asamoah, T., Shafi, R.M.A. (2021). Digital Media Use in Transitional-Age Youth: Challenges and Opportunities. In: Chan, V., Derenne, J. (eds) Transition-Age Youth Mental Health Care. Springer, Cham. https://doi.org/10.1007/978-3-030-62113-1_18

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