Reexploring Problematic Social Media Use and Its Relationship with Adolescent Mental Health. Findings from the “LifeOnSoMe”-Study

References

• The Norwegian Media Authority. Barn og medier 2020 - En kartlegging av 9–18-åringers digitale medievaner; 2020. Available from: https://www.medietilsynet.no/globalassets/publikasjoner/barn-og-medier-undersokelser/2020/201015-barn-og-medier-2020-hovedrapport-med-engelsk-summary.pdf. Accessed December 14, 2023.
   Google Scholar
• Bakken A Ungdata 2022. Nasjonale resultater. NOVA Rapport 5/22; 2022. Available from: https://oda.oslomet.no/oda-xmlui/bitstream/handle/11250/3011548/NOVA-rapport-5-2022.pdf?sequence=5. Accessed December 14, 2023.
   Google Scholar
• Odgers CL, Jensen MR. Annual research review: adolescent mental health in the digital age: facts, fears, and future directions. J Child Psychol Psychiatry. 2020;61(3):336–348. doi:10.1111/jcpp.13219
   PubMed Web of Science ®Google Scholar
• Lee-Won RJ, Herzog L, Park SG. Hooked on Facebook: the role of social anxiety and need for social assurance in problematic use of Facebook. Cyberpsychol Behav Soc Netw. 2015;18(10):567–574. doi:10.1089/cyber.2015.0002
   PubMed Web of Science ®Google Scholar
• Valkenburg PM, Meier A, Beyens I. Social media use and its impact on adolescent mental health: an umbrella review of the evidence. Curr Opin Psychol. 2021;44:58–68. doi:10.1016/j.copsyc.2021.08.017
   PubMed Web of Science ®Google Scholar
• Casale S. Problematic social media use: conceptualization, assessment and trends in scientific literature. Addict Behav Rep. 2020;12:e100281. doi:10.1016/j.abrep.2020.100281
   PubMedGoogle Scholar
• Kross E, Verduyn P, Demiralp E, et al. Facebook use predicts declines in subjective well-being in young adults. PLoS One. 2013;8(8):e69841. doi:10.1371/journal.pone.0069841
   PubMed Web of Science ®Google Scholar
• Lin LY, Sidani JE, Shensa A, et al. Association between social media use and depression among US young adults. Depress Anxiety. 2016;33(4):323–331. doi:10.1002/da.22466
   PubMed Web of Science ®Google Scholar
• Orben A, Dienlin T, Przybylski AK. Social media’s enduring effect on adolescent life satisfaction. Proc Natl Acad Sci. 2019;116(21):10226–10228. doi:10.1073/pnas.1902058116
   PubMed Web of Science ®Google Scholar
• Griffiths MD. Adolescent trolling in online environments: a brief overview. Educ Health. 2014;32(3):85–87.
   Google Scholar
• Andreassen CS, Torsheim T, Brunborg GS, Pallesen S. Development of a Facebook addiction scale. Psychol Rep. 2012;110(2):501–517. doi:10.2466/02.09.18.PR0.110.2.501-517
   PubMed Web of Science ®Google Scholar
• Caci B, Cardaci M, Scrima F, Tabacchi ME. The dimensions of Facebook addiction as measured by Facebook Addiction Italian Questionnaire and their relationships with individual differences. Cyberpsychol Behav Soc Netw. 2017;20(4):251–258. doi:10.1089/cyber.2016.0073
   PubMed Web of Science ®Google Scholar
• Liu C, Ma J. Development and validation of the Chinese social media addiction scale. Pers Individ Dif. 2018;134:55–59. doi:10.1016/j.paid.2018.05.046
   Web of Science ®Google Scholar
• Van den Eijnden RJ, Lemmens JS, Valkenburg PM. The social media disorder scale. Comput Human Behav. 2016;61:478–487. doi:10.1016/j.chb.2016.03.038
   Web of Science ®Google Scholar
• American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Publishing; 2013.
   Google Scholar
• American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed., text rev. ed.; 2022.
   Google Scholar
• Ferguson CJ, Coulson M, Barnett J. A meta-analysis of pathological gaming prevalence and comorbidity with mental health, academic and social problems. J Psychiatr Res. 2011;45(12):1573–1578. doi:10.1016/j.jpsychires.2011.09.005
   PubMed Web of Science ®Google Scholar
• Charlton JP, Danforth ID. Distinguishing addiction and high engagement in the context of online game playing. Comput Human Behav. 2007;23(3):1531–1548. doi:10.1016/j.chb.2005.07.002
   Web of Science ®Google Scholar
• Griffiths MD, Van Rooij AJ, Kardefelt-Winther D, et al. Working towards an international consensus on criteria for assessing Internet gaming disorder: a critical commentary on Petry et al.(2014). Addiction. 2016;111(1):167–175. doi:10.1111/add.13057
   PubMed Web of Science ®Google Scholar
• Kaptsis D, King DL, Delfabbro PH, Gradisar M. Withdrawal symptoms in internet gaming disorder: a systematic review. Clin Psychol Rev. 2016;43:58–66. doi:10.1016/j.cpr.2015.11.006
   PubMed Web of Science ®Google Scholar
• Charlton JP, Danforth ID. Validating the distinction between computer addiction and engagement: online game playing and personality. Behav Inf Technol. 2010;29(6):601–613. doi:10.1080/01449290903401978
   Web of Science ®Google Scholar
• Cataldo I, Billieux J, Esposito G, Corazza O. Assessing problematic use of social media: where do we stand and what can be improved? Curr Opin Behav Sci. 2022;45:101145. doi:10.1016/j.cobeha.2022.101145
   Web of Science ®Google Scholar
• Fournier L, Schimmenti A, Musetti A, et al. Deconstructing the components model of addiction: an illustration through “addictive” use of social media. Addict Behav. 2023;143:107694. doi:10.1016/j.addbeh.2023.107694
   PubMed Web of Science ®Google Scholar
• Hjetland GJ, Schønning V, Hella RT, Veseth M, Skogen JC. How do Norwegian adolescents experience the role of social media in relation to mental health and well-being: a qualitative study. BMC Psychol. 2021;9(1):1–14. doi:10.1186/s40359-021-00582-x
   PubMedGoogle Scholar
• Jo S, Jang MY. Concept analysis of adolescent use of social media for emotional well‐being. Int J Nurs Pract. 2022;29(1):e13116. doi:10.1111/ijn.13116
   PubMed Web of Science ®Google Scholar
• Reich SM, Subrahmanyam K, Espinoza G. Friending, IMing, and hanging out face-to-face: overlap in adolescents’ online and offline social networks. Dev Psychol. 2012;48(2):356. doi:10.1037/a0026980
   PubMed Web of Science ®Google Scholar
• Rodgers RF, Mclean SA, Gordon CS, et al. Development and validation of the motivations for social media use scale (MSMU) among adolescents. Adolesc Res Rev. 2021;6:425–435. doi:10.1007/s40894-020-00139-w
   Web of Science ®Google Scholar
• Vannucci A, McCauley Ohannessian C. Social media use subgroups differentially predict psychosocial well-being during early adolescence. J Youth Adolesc. 2019;48(8):1469–1493. doi:10.1007/s10964-019-01060-9
   PubMed Web of Science ®Google Scholar
• Keum BT, Wang Y-W, Callaway J, Abebe I, Cruz T, O’Connor S. Benefits and harms of social media use: a latent profile analysis of emerging adults. Curr Psychol. 2022;42:1–13. doi:10.1007/s12144-022-03473-5
   PubMed Web of Science ®Google Scholar
• Jarman HK, Marques MD, McLean SA, Slater A, Paxton SJ. Motivations for social media use: associations with social media engagement and body satisfaction and well-being among adolescents. J Youth Adolesc. 2021;50(12):2279–2293. doi:10.1007/s10964-020-01390-z
   PubMed Web of Science ®Google Scholar
• Hjetland GJ, Finserås TR, Skogen JC. Hele verden er et tastetrykk unna: ungdommers bruk og opplevelser med sosiale medier og online gaming. 2022. Available from: https://www.fhi.no/contentassets/66d4ecd513694bc781147de95c1bfe03/hele-verden-er-et-tastetrykk-unna_rapport.pdf. Accessed December 14, 2023.
   Google Scholar
• van der Schuur WA, Baumgartner SE, Sumter SR. Social media use, social media stress, and sleep: examining cross-sectional and longitudinal relationships in adolescents. Health Commun. 2019;34(5):552–559. doi:10.1080/10410236.2017.1422101
   PubMed Web of Science ®Google Scholar
• Hjetland GJ, Finserås TR, Sivertsen B, Colman I, Hella RT, Skogen JC. Focus on self-presentation on social media across sociodemographic variables, lifestyles, and personalities: a cross-sectional study. Int J Environ Res Public Health. 2022;19(17):11133. doi:10.3390/ijerph191711133
   PubMed Web of Science ®Google Scholar
• Messer SC, Angold A, Costello EJ, Loeber R, Van Kammen W, Stouthamer-Loeber M. Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents: factor composition and structure across development. Int J Methods Psychiatr Res. 1995;5:251–262.
   Web of Science ®Google Scholar
• Sharp C, Goodyer IM, Croudace TJ. The Short Mood and Feelings Questionnaire (SMFQ): a unidimensional item response theory and categorical data factor analysis of self-report ratings from a community sample of 7-through 11-year-old children. J Abnorm Child Psychol. 2006;34(3):365–377. doi:10.1007/s10802-006-9027-x
   Web of Science ®Google Scholar
• Lundervold AJ, Breivik K, Posserud M-B, Stormark KM, Hysing M. Symptoms of depression as reported by Norwegian adolescents on the Short Mood and Feelings Questionnaire. Front Psychol. 2013;4:613. doi:10.3389/fpsyg.2013.00613
   PubMed Web of Science ®Google Scholar
• Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–1097. doi:10.1001/archinte.166.10.1092
   PubMed Web of Science ®Google Scholar
• Tiirikainen K, Haravuori H, Ranta K, Kaltiala-Heino R, Marttunen M. Psychometric properties of the 7-item Generalized Anxiety Disorder Scale (GAD-7) in a large representative sample of Finnish adolescents. Psychiatry Res. 2019;272:30–35. doi:10.1016/j.psychres.2018.12.004
   PubMed Web of Science ®Google Scholar
• Tennant R, Hiller L, Fishwick R, et al. The Warwick-Edinburgh mental well-being scale (WEMWBS): development and UK validation. Health Qual Life Outcomes. 2007;5(1):1–13. doi:10.1186/1477-7525-5-63
   PubMed Web of Science ®Google Scholar
• Ringdal R, Bradley Eilertsen M-E, Bjørnsen HN, Espnes GA, Moksnes UK. Validation of two versions of the Warwick-Edinburgh mental well-being scale among Norwegian adolescents. Scand J Public Health. 2018;46(7):718–725. doi:10.1177/1403494817735391
   PubMed Web of Science ®Google Scholar
• Golino H, Shi D, Christensen AP, et al. Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: a simulation and tutorial. Psychol Methods. 2020;25(3):292. doi:10.1037/met0000255
   PubMed Web of Science ®Google Scholar
• R: A Language and Environment for Statistical Computing. R Core Team; 2021. Available from: https://www.R-project.org/. Accessed December 14, 2023.
   Google Scholar
• Golino H, Christensen A, Moulder R EGAnet: exploratory graph analysis–a framework for estimating the number of dimensions in multivariate data using network psychometrics. R package version 09. 2020;5.
   Google Scholar
• Giota KG, Kleftaras G. The role of personality and depression in problematic use of social networking sites in Greece. Cyberpsychology. 2013;7(3). doi:10.5817/CP2013-3-6
   Google Scholar
• Steele RG, Hall JA, Christofferson JL. Conceptualizing digital stress in adolescents and young adults: toward the development of an empirically based model. Clin Child Fam Psychol Rev. 2020;23:15–26. doi:10.1007/s10567-019-00300-5
   PubMed Web of Science ®Google Scholar
• Nick EA, Kilic Z, Nesi J, Telzer EH, Lindquist KA, Prinstein MJ. Adolescent digital stress: frequencies, correlates, and longitudinal association with depressive symptoms. J Adolesc Health. 2022;70(2):336–339. doi:10.1016/j.jadohealth.2021.08.025
   PubMed Web of Science ®Google Scholar
• Przybylski AK, Murayama K, DeHaan CR, Gladwell V. Motivational, emotional, and behavioral correlates of fear of missing out. Comput Human Behav. 2013;29(4):1841–1848. doi:10.1016/j.chb.2013.02.014
   Web of Science ®Google Scholar
• Gupta M, Sharma A. Fear of missing out: a brief overview of origin, theoretical underpinnings and relationship with mental health. World J Clin Cases. 2021;9(19):4881. doi:10.12998/wjcc.v9.i19.4881
   PubMed Web of Science ®Google Scholar
• Caron AH, Mays KK. Breaching perpetual contact: withdrawing from mobile and social media use in everyday life. First Monday. 2021. doi:10.5210/fm.v26i8.11652
   Google Scholar
• Baumeister RF, Leary MR. The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychol Bull. 1995;117(3):497–529. doi:10.1037/0033-2909.117.3.497
   PubMed Web of Science ®Google Scholar
• Schneider FM, Zwillich B, Bindl MJ, Hopp FR, Reich S, Vorderer P. Social media ostracism: the effects of being excluded online. Comput Human Behav. 2017;73:385–393. doi:10.1016/j.chb.2017.03.052
   Web of Science ®Google Scholar
• Büttner CM, Rudert SC. Why didn’t you tag me?!: Social exclusion from Instagram posts hurts, especially those with a high need to belong. Comput Human Behav. 2022;127:107062. doi:10.1016/j.chb.2021.107062
   Web of Science ®Google Scholar