Skip to main content

Positive and Negative Associations Between Adolescent Mental Health and Technology

  • Chapter
  • First Online:
Technology and Adolescent Mental Health

Abstract

In this chapter, we review the developmental, social, and clinical psychology literature on how adolescents are positively and negatively impacted by using social technologies such as mobile phones, social media sites, and interactive video gaming. Beneficial aspects include a sense of social connectivity and sense of belonging, personal contentment and self-esteem, emotional expression/control, and identity development. Maladaptive aspects include alienation and social anxiety, body dissatisfaction and disordered eating, triggering of emotions such as depression, and exposure to sexual content. Mental health clinicians and practitioners can gain greater awareness of the strengths and drawbacks of social technologies when faced with adolescent clients who exhibit symptoms that may need intervention.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lenhart A. Pew Research Center. Teen, social media and technology overview 2015. Pew Research Center Report, 2015. http://www.pewinternet.org/files/2015/04/PI_TeensandTech_Update2015_0409151.pdf.

  2. Wilson RE, Gosling SD, Graham LT. A review of Facebook research in the social sciences. Perspect Psychol Sci. 2012;7(3):203–20. https://doi.org/10.1177/1745691612442904.

    Article  PubMed  Google Scholar 

  3. Dougherty H. Facebook reaches top U.S. ranking. Experian Hitwise. 2010. http://www.experian.com/blogs/marketing-forward/2010/03/05/facebook-reaches-top-ranking-in-us/.

  4. Ling R. The mobile connection. San Francisco: Morgan Kaufman; 2004.

    Google Scholar 

  5. Ling R, Bertel T. Mobile communication culture among children and adolescents. In: The Routledge international handbook of children, adolescents, and media; 2015. p. 127–33.

    Google Scholar 

  6. Lenhart A, Kahne J, Middaugh E, Macgill AR, Evans C, Vitak J. Teens, video games, and civics. Washington, DC: Pew Internet and American Life Project; 2008. Report No. 202-415-4500.

    Google Scholar 

  7. Palfrey JG, Gasser U. Born digital: understanding the first generation of digital natives. New York: Basic Books; 2008.

    Google Scholar 

  8. Gentile DA. Pathological video-game use among youth ages 8 to 18: a national study. Psychol Sci. 2009;20:594–602. https://doi.org/10.1111/j.1467-9280.2009.02340.x.

    Article  PubMed  Google Scholar 

  9. Rehbein F, Kleimann M, Möβle T. Prevalence and risk factors of video game dependency in adolescence: results of a German nationwide survey. Cyberpsychol Behav Soc Netw. 2010;13:269–77. doi:10.1089=cyber.2009.0227.

    Article  PubMed  Google Scholar 

  10. Konijn EA, Bijvank MN, Bushman BJ. I wish I were a warrior: the role of wishful identification in the effects of violent video games on aggression in adolescent boys. Dev Psychol. 2007;43:1038–44. https://doi.org/10.1037/0012-1649.43.4.1038.

    Article  PubMed  Google Scholar 

  11. Krahe B, Moller I. Longitudinal effects of media violence on aggression and empathy among German adolescents. J Appl Dev Psychol. 2010;31:401–9.

    Article  Google Scholar 

  12. Colwell J, Kato M. Investigation of the relationship between social isolation, self-esteem, aggression and computer game play in Japanese adolescents. Asian J Soc Psychol. 2003;6:149–58. https://doi.org/10.1111/1467-839X.t01-1-00017.

    Article  Google Scholar 

  13. Durkin K, Barber B. Not so doomed: computer game play and positive adolescent development. Appl Dev Psychol. 2002;23:373–92. https://doi.org/10.1016/S0193-3973(02)00124-7.

    Article  Google Scholar 

  14. Carnegie Council on Adolescent Development. Turning points: preparing American youth for the 21st century. New York: Carnegie Corporation; 1989.

    Google Scholar 

  15. Steinberg L, Silverberg SB. The vicissitudes of autonomy in early adolescence. Child Dev. 1986;57:841–51.

    Article  CAS  PubMed  Google Scholar 

  16. Brinthaupt TM, Lipka RP. Understanding early adolescent self and identity: applications and interventions. New York: SUNY Press; 2012.

    Google Scholar 

  17. Buchanan CM, Eccles JS, Becker JB. Are adolescents the victims of raging hormones? Evidence for the activational effects of hormones on moods and behavior at adolescence. Psychol Bull. 1992;111:62–107.

    Article  CAS  PubMed  Google Scholar 

  18. Steinberg L. Interdependence in the family: autonomy, conflict, and harmony in the parent-adolescent relationship. In: Feldman SS, Elliott GR, editors. At the threshold: the developing adolescent. Cambridge: Harvard University Press; 1990. p. 255–76.

    Google Scholar 

  19. Lenhart A, Purcell K, Smith A, Zickuhr K. Social media & mobile internet use among teens and young adults. Washington, DC: Pew Internet and American Life Project; 2010.

    Google Scholar 

  20. Clark LS. The parent app: understanding families in the digital age. Oxford: Oxford University Press; 2013.

    Google Scholar 

  21. Blais JJ, Craig WM, Pepler D, Connolly J. Adolescents online: the importance of internet activity choices to salient relationships. J Youth Adolesc. 2008;37:522–36.

    Article  Google Scholar 

  22. Cummings JN, Lee JB, Kraut R. Communication technology and friendship during the transition from high school to college. In: Kraut R, Brynin M, Kiesler S, editors. Computers, phones, and the internet: domesticating information technology. New York: Oxford University Press; 2006. p. 265–78.

    Google Scholar 

  23. Valkenburg PM, Peter J. Preadolescents’ and adolescents’ online communication and their closeness to friends. Dev Psychol. 2007;43:267–77. https://doi.org/10.1037/0012-1649.43.2.267.

    Article  PubMed  Google Scholar 

  24. Valkenburg PM, Peter J. The effects of instant messaging on the quality of adolescents’ existing friendships: a longitudinal study. J Commun. 2009;59:79–97. https://doi.org/10.1111/j.1460–2466.2008.01405.x.

    Article  Google Scholar 

  25. Charmaraman L, Chan H, Price T, Richer A. Surviving and thriving: women of color cultivating virtual social capital. In: Tassie KE, Brown SM, editors. Women of color and social media multitasking: blogs, timelines, feeds, and community. New York: Lexington Books; 2015. p. 1–19.

    Google Scholar 

  26. Ellison NB, Steinfield C, Lampe C. The benefits of Facebook “friends”: social capital and college students’ use of online social network sites. J Comp Mediat Commun. 2007;12:1143–68. https://doi.org/10.1111/j.1083-6101.2007.00367.x.

    Article  Google Scholar 

  27. O’Keefe S, Clarke-Pearson K. The impact of social media on children, adolescents, and families. Pediatrics. 2011;127(4):800–4. https://doi.org/10.1542/peds.2011-0054.

    Article  Google Scholar 

  28. Bearman P, Brückner H. Power in numbers: peer effects on adolescent girls’ sexual debut and pregnancy. Washington, DC: National Campaign to Prevent Teen Pregnancy; 1999.

    Google Scholar 

  29. Kinsman SB, Schwarz DF, Furstenberg F, Romer D. Peer influence and intention to initiate sexual intercourse in early adolescence. J Adolesc Health. 1997;20(2):168. https://doi.org/10.1016/S1054-139X(97)87630-6.

    Google Scholar 

  30. Madden M, Lenhart A, Cortesi S, Gasser U, Duggan M, Smith A. Teens, social media, and privacy. Washington, DC: Pew Internet and American Life Project; 2013. http://www.pewinternet.org/2013/05/21/teens-social-media-and-privacy/

    Google Scholar 

  31. Miller B, Norton M, Curtis T, Hill J, Schvaneveldt P, Young M. The timing of sexual intercourse among adolescents: family, peer, and other antecedents. Youth Soc. 1997;29:54–83. https://doi.org/10.1177/0044118X97029001003.

    Article  Google Scholar 

  32. Stanton B, Li X, Pack R, Cottrell L, Harris C, Burns JM. Longitudinal influence of perceptions of peer and parental factors on African American adolescent risk involvement. J Urban Health. 2002;79:536–48. https://doi.org/10.1093/jurban/79.4.536.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Lenhart A, Madden M. Social networking sites and teens: an overview. Pew Internet and American Life Project; 2007. http://htlab.psy.unipd.it/uploads/Pdf/lectures/technology_for_young/Social%20Networking%20Websites%20and%20Teens%20text.pdf.

  34. Lenhart A, Madden M. Teen content creators and consumers. Washington, DC: Pew Internet and American Life Project; 2005. http://www.pewinternet.org/2005/11/02/teen-content-creators-and-consumers/

    Google Scholar 

  35. Livingstone S, Helsper E. Parental mediation and children’s internet use. J Broadcast Electron Media. 2008;52(4):581–99. https://doi.org/10.1080/08838150802437396.

    Article  Google Scholar 

  36. Moreno MA, Brockman L, Rogers CB, Christakis DA. An evaluation of the distribution of sexual references among “top 8” Myspace friends. J Adolesc Health. 2010;47:418–20.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Patchin JW, Hinduja S. Trends in online social networking: adolescent use of Myspace over time. New Media Soc. 2010;12:197–216. https://doi.org/10.1177/1461444809341857.

    Article  Google Scholar 

  38. Ybarra M, Mitchell K, Espelage D. Comparisons of bully and unwanted sexual experiences online and offline among a national sample of youth. 2012. http://cdn.intechopen.com/pdfs/30834/InTech-Comparisons_of_bully_and_unwanted_sexual_experiences_online_and_offline_among_a_national_sample_of_youth.pdf. Accessed 10 Sept 2015.

  39. Moreno MA, Jelenchick LA, Egan KG, Cox E, Young H, Gannon KE, Becker T. Feeling bad on Facebook: depression disclosures by college students on a social networking site. Depress Anxiety. 2011;28:447–55. https://doi.org/10.1002/da.20805.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Ybarra ML, Alexander C, Mitchell KJ. Depressive symptomatology, youth internet use, and online interactions: a national survey. J Adolesc Health. 2005;36:9–18.

    Article  PubMed  Google Scholar 

  41. Ybarra ML, Mitchell KJ. How risky are social networking sites? A comparison of places online where youth sexual solicitation and harassment occurs. Pediatrics. 2008;121(2):e350–7.

    Article  PubMed  Google Scholar 

  42. Maslow AH. A theory of human motivation. Psychol Rev. 1943;50:370–96. https://doi.org/10.1037/h0054346.

    Article  Google Scholar 

  43. Baumeister RF, Leary MR. The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychol Bull. 1995;117(3):497–529. https://doi.org/10.1037/0033-2909.117.3.497.

    Article  CAS  PubMed  Google Scholar 

  44. Davis K. Friendship 2.0: adolescents’ experiences of belonging and self-disclosure online. J Adolesc. 2012;35:1527–36.

    Article  PubMed  Google Scholar 

  45. Quinn S, Oldmeadow JA. Is the igeneration a ‘we’ generation? Social networking use among 9- to 13-year-olds and belonging. Br J Dev Psychol. 2013;31:136–42. https://doi.org/10.1111/bjdp.12007.

    Article  PubMed  Google Scholar 

  46. Apaolaza V, Hartmann P, Medina E, Barrutia J, Echebarria C. The relationship between socializing on the Spanish online networking site Tuenti and teenagers’ subjective wellbeing: the roles of self-esteem and loneliness. Comput Hum Behav. 2013;29:4.

    Article  Google Scholar 

  47. Weibel D, Wissmath B, Habegger S, Steiner Y, Groner R. Playing online games against computer- vs. human-controlled opponents: effects on presence, flow, and enjoyment. Comput Hum Behav. 2008;24:2274–91. https://doi.org/10.1016/j.chb.2007.11.002.

    Article  Google Scholar 

  48. Davis K. Young people’s digital lives: the impact of interpersonal relationships and digital media use on adolescents’ sense of identity. Comput Hum Behav. 2013;29:2281–93. https://doi.org/10.1016/j.chb.2013.05.022.

    Article  Google Scholar 

  49. Gross EF. Logging on, bouncing back: an experimental investigation of online communication following social exclusion. Dev Psychol. 2009;45:1787–93. https://doi.org/10.1037/a0016541.

    Article  PubMed  Google Scholar 

  50. Chen GM. Why do women write personal blogs? Satisfying needs for self-disclosure and affiliation tell part of the story. Comput Hum Behav. 2012;28:171–80.

    Article  Google Scholar 

  51. Baker JR, Moore SM. Blogging as a social tool: a psychosocial examination of the effects of blogging. Cyberpsychcol Behav. 2008;11(6):747–9.

    Article  Google Scholar 

  52. Boniel-Nissim M, Barak A. The therapeutic value of adolescents’ blogging about social-emotional difficulties. Psychol Serv. 2013;10(3):333–41.

    Article  PubMed  Google Scholar 

  53. Bardi AC, Brady MF. Why shy people use instant messaging: loneliness and other motives. Comput Hum Behav. 2010;26:1722–6. https://doi.org/10.1016/ j.chb.2010.06.021.

    Article  Google Scholar 

  54. Madell DE, Muncer SJ. Control over social interactions: an important reason for young people’s use of the internet and mobile phones for communication? Cyberpsychol Behav. 2007;10(1):137–40.

    Article  PubMed  Google Scholar 

  55. Bonetti L, Campbell MA, Gilmore L. The relationship of loneliness and social anxiety with children’s and adolescents’ online communication. Cyberpsychol Behav Soc Netw. 2010;13(3):279–85. https://doi.org/10.1089/cyber.2009.0215.

    Article  PubMed  Google Scholar 

  56. Valkenburg PM, Peter J. Social consequences of the internet for adolescents: a decade of research. Curr Dir Psychol Sci. 2009;18:1–5. https://doi.org/10.1111/j.1467-8721.2009.01595.x.

    Article  Google Scholar 

  57. Sharabi A, Margalit M. Virtual friendships and social distress among adolescents with and without learning disabilities: the subtyping approach. Eur J Special Needs Educ. 2011;26:379–94. https://doi.org/10.1080/08856257.2011.595173.

    Article  Google Scholar 

  58. Allen KA, Ryan T, Gray DL, McInerney DM, Waters L. Social media use and social connectedness in adolescents: the positives and the potential pitfalls. Aust Educ Dev Psychol. 2014;31(1):18–31.

    Article  Google Scholar 

  59. Barker V. A generational comparison of social networking site use: the influence of age and social identity. Int J Aging Hum Dev. 2012;74(2):163–87. https://doi.org/10.2190/AG.74.2.d.

    Article  PubMed  Google Scholar 

  60. Harwood J. Age identification, social identity gratifications, and television viewing. J Broadcast Electron Media. 1999;43:123–36. https://doi.org/10.1080/08838159909364479.

    Article  Google Scholar 

  61. Gajaria A, Yeung E, Goodale T, Charach A. Beliefs about attention-deficit/hyperactivity disorder and response to stereotypes: youth postings in Facebook groups. J Adolesc Health. 2011;49:15–20. https://doi.org/10.1016/j.jadohealth.2010.09.004.

    Article  PubMed  Google Scholar 

  62. Harper GW, Bruce D, Serrano P, Jamil O. The role of the internet in the sexual identity development of gay and bisexual male adolescents. In: Hammack PL, Cohler BJ, editors. The story of sexual identity: narrative perspectives on the gay and lesbian life course. New York: Oxford University Press; 2009. p. 297–326.

    Chapter  Google Scholar 

  63. Ceglarek PJD, Ward MA. Tool for help or harm? How associations between social networking use, social support, and mental health differ for sexual minority and heterosexual youth. Comput Hum Behav. 2016;65:201–9.

    Article  Google Scholar 

  64. Dolev-Cohen M, Barak A. Adolescents’ use of instant messaging as a means of emotional relief. Comput Hum Behav. 2013;29(1):58–63.

    Article  Google Scholar 

  65. Best P, Manktelow R, Taylor B. Online communication, social media and adolescent wellbeing: a systematic narrative review. Child Youth Serv Rev. 2014;41:27–36.

    Article  Google Scholar 

  66. Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, et al. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res. 2013;15:e85.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Naslund JA, Grande SW, Aschbrenner KA, Elwyn G. Naturally occurring peer support through the experiences of individuals with severe mental illness using YouTube. PLoS One. 2014;9(10):e110171. https://doi.org/10.1371/journal.pone.0110171.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Fioravanti G, Dèttore D, Casale S. Adolescent internet addiction: testing the association between self-esteem, the perception of internet attributes, and preference for online social interactions. Cyberpsychol Behav Soc Netw. 2012;15(6):318–23. https://doi.org/10.1089/cyber.2011.0358.

    Article  PubMed  Google Scholar 

  69. Huang HY, Leung L. Gratification-opportunities, self-esteem, and loneliness in determining usage preference of BBS and blog among teenagers in China. Atlantic J Commun. 2012;20(3):141–57.

    Article  CAS  Google Scholar 

  70. D’Amato G, Cecchi L, Liccardi G, Pellegrino F, D’Amato M, Sofia M. Social networks: a new source of psychological stress or a way to enhance self-esteem? Negative and positive implications in bronchial asthma. J Invest Allerg Clin. 2012;22(6):402–5. http://www.ncbi.nlm.nih.gov/pubmed/23101183.

    Google Scholar 

  71. Abrams D, Weick M, Thomas D, Colbe H, Franklin KM. On-line ostracism affects children differently from adolescents and adults. Br J Dev Psychol. 2011;29:110–23. https://doi.org/10.1348/026151010494089.

    Article  PubMed  Google Scholar 

  72. Selfout MHW, Branje SJT, Delsing M, ter Bogt TFM, Meeus WHJ. Different types of internet use, depression, and social anxiety: the role of perceived friendship quality. J Adolesc. 2009;32:819–33. https://doi.org/10.1016/j.adolescence.2008.10.011.

    Article  Google Scholar 

  73. Turkle S. Alone together: why we expect more from technology and less from each other. New York: Basic Books; 2011.

    Google Scholar 

  74. Bortree DS. Presentation of self on the web: an ethnographic study of teenage girls’ weblogs. Educ Commun Inform. 2005;5:25–39. https://doi.org/10.1080/14636310500061102.

    Article  Google Scholar 

  75. Bearman SK, Presnell K, Martinez E. The skinny on body dissatisfaction: a longitudinal study of adolescent girls and boys. J Adolesc. 2006;35:217–29. https://doi.org/10.1007/s10964-005-9010-9.

    Article  Google Scholar 

  76. Dohnt HK, Tiggemann M. Body image concerns in young girls: the role of peers and media prior to adolescence. J Youth Adolesc. 2006;35:135–45. https://doi.org/10.1007/s10964-005-9020-7.

    Article  Google Scholar 

  77. Grabe S, Hyde JS. Ethnicity and body dissatisfaction among women in the United States: a meta-analysis. Psychol Bull. 2006;132:622–40. https://doi.org/10.1037/0033-2909.132.4.622.

    Article  PubMed  Google Scholar 

  78. Ata RN, Ludden AB, Lally MM. The effects of gender and family, friends, and media influences on eating behaviors and body image during adolescence. J Youth Adolesc 2007;36:1024–1037. doi: 10.1007.

    Google Scholar 

  79. Holland G, Tiggemann M. A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes. Body Image. 2016;17:100–10.

    Article  PubMed  Google Scholar 

  80. Manago AM, Ward L, Lemm KM, Reed L, Seabrook R. Facebook involvement, objectified body consciousness, body shame, and sexual assertiveness in college women and men. Sex Roles. 2015;72:1–14. https://doi.org/10.1007/s11199-014-0441-1.

    Article  Google Scholar 

  81. Haferkamp N, Kramer NC. Social comparison 2.0: examining the effects of online profiles on social-networking sites. Cyberpsychol Behav Soc Netw. 2011;14:309–14. https://doi.org/10.1089/cyber.2010.0120.

    Article  PubMed  Google Scholar 

  82. Tiggemann M, Slater A. NetGirls: the internet, Facebook, and body image concern in adolescent girls. Int J Eat Disord. 2013;46:630–3.

    Article  PubMed  Google Scholar 

  83. Dittmar H. How do “body perfect” ideals in the media have a negative impact on body image and behaviours? Factors and processes related to self and identity. J Soc Clin Psychol. 2009;28:1–8. https://doi.org/10.1521/jscp.2009.28.1.1.

    Article  Google Scholar 

  84. Grabe S, Ward L, Hyde JS. The role of the media in body image concerns among women: a meta-analysis of experimental and correlational studies. Psychol Bull. 2008;134:460–76. https://doi.org/10.1037/0033-2909.134.3.460.

    Article  PubMed  Google Scholar 

  85. Groesz L, Levine M, Murnen S. The effect of experimental presentation of thin media images on body satisfaction: a meta-analytic review. Int J Eat Disord. 2002;21:1–16. https://doi.org/10.1002/eat.10005.

    Article  Google Scholar 

  86. Irvine C. Excessive chatting on Facebook can lead to depression in teenage girls. Daily Telegraph. 2010. www.telegraph.co.uk/technology/facebook/4405741/Excessive-chatting-on-Facebook-can-lead-to-depression-inteenage-girls.html.

  87. Herr J. Internet entangles college students in a web of loneliness and depression. Truman State University Index. www.trumanindex.com/2.10111/internet-entangles-collegestudents-in-a-web-of-loneliness-anddepression-1.1462681. Accessed 27 Feb 2007.

  88. Sturm S. Social networking psych studies:research shows teen Facebook users prone to depression. TrendHunter. www.trendhunter.com/trends/depressionfrom-facebook.

  89. Pantic I, Damjanovic A, Todorovic J, et al. Association between online social networking and depression in high school students: behavioral physiology viewpoint. Psychiatr Danub. 2012;24:90–3.

    PubMed  Google Scholar 

  90. Jelenchick LA, Eickhoff JC, Moreno MA. Facebook depression? Social networking site use and depression in older adolescents. J Adolesc Health. 2013;52:128–30.

    Article  PubMed  Google Scholar 

  91. van den Eijnden RJJM, Meerkerk GJ, Vermulst AA, Spijkerman R, Engels RCME. Online communication, compulsive internet use, and psychosocial wellbeing among adolescents: a longitudinal study. Dev Psychol. 2008;44(3):655–65.

    Article  PubMed  Google Scholar 

  92. Underwood MK, Ehrenreich SE, More D, Solis JS, Brinkley DY. The BlackBerry project: the hidden world of adolescents’ text messaging and relations with internalizing symptoms. J Res Adolesc. 2015;25:101–17.

    Article  PubMed  Google Scholar 

  93. Ehrenreich SE, Underwood MK, Ackerman RA. Adolescents’ text message communication and growth in antisocial behavior across the first year of high school. J Abnorm Child Psychol. 2014;42:251–64. https://doi.org/10.1007/s10802-013-9783-3.

    Article  PubMed  PubMed Central  Google Scholar 

  94. Davila J, Hershenberg R, Feinstein BA, Gorman K, Bhatia V, Starr L. Frequency and quality of social networking experiences: associations with depressive symptoms, rumination, and co-rumination. Psychol Pop Media Cult. 2012;2(3):72–8. https://doi.org/10.1037/a0027512.

    Article  Google Scholar 

  95. Richards D, Caldwell PH, Go H. Impact of social media on the health of children and young people. J Paediatr Child Health. 2015;51:1152–7.

    Article  PubMed  Google Scholar 

  96. Festinger L. A theory of social comparison processes. Hum Relat. 1954;7(2):117–40.

    Article  Google Scholar 

  97. Suls J, Martin R, Wheeler L. Social comparison: why, with whom, and with what effect? Curr Dir Psychol Sci. 2002;11(5):159–63. https://doi.org/10.1111/1467-8721.00191.

    Article  Google Scholar 

  98. Keefe K. Perceptions of normative social pressure and attitudes toward alcohol use: changes during adolescence. J Stud Alcohol. 1994;55(1):46–54.

    Article  CAS  PubMed  Google Scholar 

  99. Vogel EA, Rose JP, Okdie BM, 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. https://doi.org/10.1016/j.paid.2015.06.026.

    Article  Google Scholar 

  100. Feinstein BA, Hershenberg R, Bhatia V, Latack JA, Meuwly N, Davila J. Negative social comparison on Facebook and depressive symptoms: rumination as a mechanism. Psychol Pop Media Cult. 2013;2(3):161–70. https://doi.org/10.1037/a0033111.

    Article  Google Scholar 

  101. Shaw AM, Timpano KR, Tran TB, Joormann J. Correlates of Facebook usage patterns: the relationship between passive Facebook use, social anxiety symptoms, and brooding. Comput Hum Behav. 2015;48:575–80. https://doi.org/10.1016/j.chb.2015.02.003.

    Article  Google Scholar 

  102. Verduyn P, Lee DS, Park J, Shablack H, Orvell A, Bayer J, et al. Passive Facebook usage undermines affective well-being: experimental and longitudinal evidence. J Exp Psychol. 2015;144(2):480–8. https://doi.org/10.1037/xge0000057.

    Article  Google Scholar 

  103. Lenhart A, Ling R, Campbell S, Purcell K. Teens and mobile phones. Washington, DC: Pew Research Center; 2010.

    Google Scholar 

  104. Livingstone S, Smith PK. Annual research review: harms experienced by child users of online and mobile technologies: the nature, prevalence, and management of sexual and aggressive risks in the digital age. J Child Psychol Psychiatry. 2014;55(6):635–54.

    Article  PubMed  Google Scholar 

  105. George MJ, Odgers CL. Seven fears and the science of how mobile technologies may be influencing adolescents in the digital age. Perspect Psychol Sci. 2015;10(6):832–51. https://doi.org/10.1177/1745691615596788.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Melville K. Facebook use associated with depression. Science A Go Go. 2010;3. www.scienceagogo.com/news/20100102231001data_trunc_sys.shtml.

Download references

Acknowledgments

Funding for the Media & Identity Project was provided by the 35th Anniversary Fund at Wellesley Centers for Women and Robert Wood Johnson Foundation New Connections. We wholeheartedly thank Megan Moreno and Ana Radovic for insightful feedback on this chapter. We are grateful for Ineke Ceder’s editorial expertise and the students who made the data collection possible for the first wave of the Media & Identity Project: Temple Price, Huiying Bernice Chan, Budnampet Ramanudom, and Betsy Eriksen.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Linda Charmaraman .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Charmaraman, L., Gladstone, T., Richer, A. (2018). Positive and Negative Associations Between Adolescent Mental Health and Technology. In: Moreno, M., Radovic, A. (eds) Technology and Adolescent Mental Health . Springer, Cham. https://doi.org/10.1007/978-3-319-69638-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69638-6_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69637-9

  • Online ISBN: 978-3-319-69638-6

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics