Social Media and Youth Mental Health: Assessing the Impact Through Current and Novel Digital Phenotyping Methods
- Published: 29 February 2024
- Volume 11 , pages 34–51, ( 2024 )
Cite this article
- Elana Perlmutter BS 1 ,
- Bridget Dwyer BS 1 &
- John Torous MD 1
1197 Accesses
2 Citations
7 Altmetric
Explore all metrics
Purpose of Review
The effect of social media use on youth mental health is a primary public concern. Despite extensive research on the topic, social media use’s impact on adolescent mental health remains unclear with study results often contradicting each other. This narrative review examines recent literature on the relationship between social media use and youth mental health, highlights disparities in study results, and offers a novel approach for future research.
Recent Findings
Three conclusions were drawn from our review. First, contrasting usage patterns may affect mental health outcomes. Second, social media use may impact social comparison, social displacement, social stimulation, and self-determination. Lastly, limits in research methodology inhibit our understanding of the relationship between screen time and youth mental health outcomes due to the over-reliance on self-report scales, heterogeneity in scale usage, and problematic analysis methods.
The complexity of understanding the impact of social media use on youth mental health should not deter research. To advance methodology and elucidate outcomes, future studies should utilize the digital phenotyping approach. This approach uses objective data assessment from personal digital devices and allows researchers to better analyze the impact of social media use on youth mental health.
This is a preview of subscription content, log in via an institution to check access.
Access this article
Subscribe and save.
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Price includes VAT (Russian Federation)
Instant access to the full article PDF.
Rent this article via DeepDyve
Institutional subscriptions
Similar content being viewed by others
Teenagers, screens and social media: a narrative review of reviews and key studies
Social media and adolescent mental health, digital self-presentation and adolescent mental health: cross-sectional and longitudinal insights from the “lifeonsome”-study, references and recommended reading, papers of particular interest, published recently, have been highlighted as: • of importance •• of major importance.
Romeo RD, Richardson HN, Sisk CL. Puberty and the maturation of the male brain and sexual behavior: recasting a behavioral potential. Neurosci Biobehav Rev. 2002;26(3):381–91. https://doi.org/10.1016/s0149-7634(02)00009-x .
Article PubMed Google Scholar
Uhlhaas PJ, Davey CG, Mehta UM, Shah J, Torous J, Allen NB, Avenevoli S, Bella-Awusah T, Chanen A, Chen EYH, Correll, C U, Do KQ, Fisher HL, Frangou S, Hickie IB, Keshavan MS, Konrad K, Lee FS, Liu CH, Luna B. Towards a youth mental health paradigm: a perspective and roadmap. Mol Psychiatry. 2023; 1–11. https://doi.org/10.1038/s41380-023-02202-z
Firth J, Torous J, Stubbs B, Firth J, Steiner G, Smith L, Alvarez-Jimenez M, Gleeson J, Vancampfort D, Armitage C, Sarris J. The “online brain”: how the Internet may be changing our cognition. World Psych. 2019;18(2):119–29. https://doi.org/10.1002/wps.20617 .
Article Google Scholar
Anderson M, Faverio M, Gottfried J (2023, December 11). Teens, social media and technology 2023. Pew Research Center: Internet, Science & Tech; Pew Research Center. https://www.pewresearch.org/internet/2023/12/11/teens-social-media-and-technology-2023/
Pew Research Center. Social Media Fact Sheet. Pew Research Center: Internet, Science & Tech; Pew Research Center. (2021, April 7). https://www.pewresearch.org/internet/fact-sheet/social-media/?tabId=tab-81867c91-92ad-45b8-a964-a2a894f873ef
Galpin A, Taylor G. Changing behaviour: Children, adolescents and screen use. The British Psychological Society. 2018. https://cms.bps.org.uk/sites/default/files/2022-07/Changing%20behaviour%20-%20children%2C%20adolescents%2C%20and%20screen%20use.pdf
Drouin M, McDaniel BT, Pater J, Toscos T. How parents and their children used social media and technology at the beginning of the COVID-19 pandemic and associations with anxiety. Cyberpsychol Behav Soc Netw. 2020;23(11):727–36. https://doi.org/10.1089/cyber.2020.0284 .
Rosen AO, Holmes AL, Balluerka N, Hidalgo MD, Gorostiaga A, Gómez-Benito J, Huedo-Medina TB. Is social media a new type of social support? Social media use in Spain during the COVID-19 pandemic: a mixed methods study. Int J Environ Res Public Health. 2022;19(7):3952. https://doi.org/10.3390/ijerph19073952 .
Article CAS PubMed PubMed Central Google Scholar
Auxier, B. 64% of Americans say social media have a mostly negative effect on the way things are going in the U.S. today. Pew Research Center; Pew Research Center. 2020. https://www.pewresearch.org/short-reads/2020/10/15/64-of-americans-say-social-media-have-a-mostly-negative-effect-on-the-way-things-are-going-in-the-u-s-today/
Rhodes A. Top ten child health problems: what the public thinks. RCH National Child Health Poll. In The Royal Children’s Hospital Melbourne. 2015. https://www.rchpoll.org.au/wp-content/uploads/2015/12/ACHP_Detailed-report_Dec2015-poll-1.pdf
Sanders T, Noetel M, Parker P, Del Pozo Cruz B, Biddle S, Ronto R, Hulteen R, Parker R, Thomas G, De Cocker K, Salmon J, Hesketh K, Weeks N, Arnott H, Devine E, Vasconcellos R, Pagano R, Sherson J, Conigrave J, Lonsdale C. An umbrella review of the benefits and risks associated with youths’ interactions with electronic screens. Nat Hum Behav. 2023; 1–18. https://doi.org/10.1038/s41562-023-01712-8
U.S. Public Health Service. Protecting Youth Mental Health The U.S. Surgeon General’s Advisory. Office of the Surgeon General. 2023. https://www.hhs.gov/sites/default/files/surgeon-general-youth-mental-health-advisory.pdf
Government of Canada, S. C. Online digital media use and adolescent mental health. 2023. Www150.Statcan.gc.ca. https://www150.statcan.gc.ca/n1/pub/82-003-x/2023002/article/00002-eng.htm
Lee Y, Jeon YJ, Kang S, Shin JI, Jung Y-C, Jung SJ. Social media use and mental health during the COVID-19 pandemic in young adults: a meta-analysis of 14 cross-sectional studies. BMC Public Health. 2022; 22(1). https://doi.org/10.1186/s12889-022-13409-0
Piteo EM, Ward K. Review: social networking sites and associations with depressive and anxiety symptoms in children and adolescents – a systematic review. Child Adolesc Ment Health. 2020; 25(4). https://doi.org/10.1111/camh.12373
Radtke T, Apel T, Schenkel K, Keller J, von Lindern E. Digital detox: an effective solution in the smartphone era? A systematic literature review. Mob Media Commun. 2021;10(2):190–215. https://doi.org/10.1177/20501579211028647 .
O’Reilly M, Dogra N, Whiteman N, Hughes J, Eruyar S, Reilly P. Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clin Child Psychol Psychiatry. 2018;23(4):601–13. https://doi.org/10.1177/1359104518775154 .
U.S. Department of Health and Human Services. Surgeon general issues new advisory about effects social media use has on youth mental health. HHS.gov; U.S. Department of Health and Human Services. 2023. https://www.hhs.gov/about/news/2023/05/23/surgeon-general-issues-new-advisory-about-effects-social-media-use-has-youth-mental-health.html
Social Media and Children 2023 Legislation. 2023. https://www.ncsl.org/ . https://www.ncsl.org/technology-and-communication/social-media-and-children-2023-legislation#:~:text=As%20concerns%20arise%20regarding%20the
People of the State of California v. Meta Platforms, Inc. et al, (US District Court for the Northern District of California). https://deadline.com/wp-content/uploads/2023/10/meta-social-media-asuit-states.pdf
•Boer M, van den Eijnden RJJM, Boniel-Nissim M, Wong S-L, Inchley JC, Badura P, Craig WM, Gobina I, Kleszczewska D, Klanšček HJ, Stevens GWJM. Adolescents’ intense and problematic social media use and their well-being in 29 countries. J Adolesc Health. 2020;66(6):S89–99. https://doi.org/10.1016/j.jadohealth.2020.02.014 . This global study surveyed over 150,000 adolescents from 29 countries about their social media usage, psychological complaints, and the following well-being variables: mental, school, and social. Results showed the positive impact that social media usage can have on adolescents for those living in countries with high intense social media usage prevalence. This study is noteworthy as it measures the role of cultural attitudes around social media usage and how this can impact well-being outcomes for intense social media users. Additionally, the inclusion of literature highlighting positive outcomes associated with increased social media usage informs readers about the presence of contrasting findings in social media literature.
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(44). https://doi.org/10.1016/j.copsyc.2021.08.017
Winstone L, Mars B, Haworth CMA, Kidger J. Social media use and social connectedness among adolescents in the United Kingdom: a qualitative exploration of displacement and stimulation. BMC Public Health, 2021; 21(1). https://doi.org/10.1186/s12889-021-11802-9
Kelly Y, Zilanawala A, Booker C, Sacker A. Social media use and adolescent mental health: findings from the UK millennium cohort study. EClinicalMedicine. 2019;6(2589–5370):59–68. https://doi.org/10.1016/j.eclinm.2018.12.005 .
Article PubMed PubMed Central Google Scholar
Twenge JM. More time on technology, less happiness? associations between digital-media use and psychological well-being. Curr Dir Psychol Sci. 2019;28(4):372–9. https://doi.org/10.1177/0963721419838244 .
Khalaf AM, Alubied AA, Khalaf AM, Rifaey AA. The impact of social media on the mental health of adolescents and young adults: a systematic review. Cureus. 2023;15(8). https://doi.org/10.7759/cureus.42990 .
Ulvi O, Karamehic-Muratovic A, Baghbanzadeh M, Bashir A, Smith J, Haque U. Social media use and mental health: a global analysis. Epidemiologia. 2022;3(1):11–25. https://doi.org/10.3390/epidemiologia3010002 .
Miller JW, Mills KL, Vuorre M, Orben A, Przybylski AK. Impact of digital screen media activity on functional brain organization in late childhood: evidence from the ABCD study. Cortex. 2023. https://doi.org/10.1016/j.cortex.2023.09.009 .
Valkenburg PM, Peter J. Online communication and adolescent well-being: testing the stimulation versus the displacement hypothesis. J Comput-Mediat Commun. 2007;12(4):1169–82. https://doi.org/10.1111/j.1083-6101.2007.00368.x .
Weigle PE, Shafi Reem M.A. Social media and youth mental health. Curr Psychiatry Rep. 2023. https://doi.org/10.1007/s11920-023-01478-w .
Blanchard L, Conway-Moore K, Aguiar A, Önal Furkan, Rutter H, Helleve Arnfinn, Nwosu E, Falcone Juliana Franco, Savona N, Boyland E, Knai Cécile. Associations between social media, adolescent mental health, and diet: a systematic review. Obesity Rev. 2023;24(S2). https://doi.org/10.1111/obr.13631 .
Dienlin T, Johannes N. The impact of digital technology use on adolescent well-being. Dialogues Clin Neurosci. 2020;22(2):135–42. https://doi.org/10.31887/dcns.2020.22.2/tdienlin
Beyens I, Pouwels JL, van Driel II, Keijsers L, Valkenburg PM. The effect of social media on well-being differs from adolescent to adolescent. Sci Rep. 2020;10(1). https://doi.org/10.1038/s41598-020-67727-7 .
Meier A, Krause H-V. Does passive social media use harm well-being? J Media Psychol. 2022. https://doi.org/10.1027/1864-1105/a000358 .
Lin S, Liu D, Liu W, Hui Q, Cortina KS, You X. Mediating effects of self-concept clarity on the relationship between passive social network sites use and subjective well-being. Curr Psychol. 2018. https://doi.org/10.1007/s12144-018-0066-6 .
Verduyn P, Lee DS, Park J, Shablack H, Orvell A, Bayer J, Ybarra O, Jonides J, Kross E. Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. J Exp Psychol Gen. 2015;144(2):480–8. https://doi.org/10.1037/xge0000057 .
Pluhar E, Jhe G, Tsappis M. A primary care–based program: managing problematic interactive media use by adolescents and young adults. Psychiatr Serv. 2020;71(6):641–2. https://doi.org/10.1176/appi.ps.71602 .
Cheng C, Lau Y, Chan L, Luk JW. Prevalence of social media addiction across 32 nations: meta-analysis with subgroup analysis of classification schemes and cultural values. Addict Behav. 2021;117(106845):106845. https://doi.org/10.1016/j.addbeh.2021.106845 .
Suls J, Martin R, Wheeler L. Social co mparison: why, with whom, and with what effect? Curr Dir Psychol Sci. 2002;11(5):159–63. https://doi.org/10.1111/1467-8721.00191 .
Verduyn P, Gugushvili N, Massar K, Täht K, Kross E. Social comparison on social networking sites. Curr Opin Psychol. 2020;36:32–7. https://doi.org/10.1016/j.copsyc.2020.04.002 .
Samra A, Warburton WA, Collins AM. Social comparisons: a potential mechanism linking problematic social media use with depression. J Behav Addict. 2022;11(2). https://doi.org/10.1556/2006.2022.00023 .
Mann RB, Blumberg F. Adolescents and social media: the effects of frequency of use, self-presentation, social comparison, and self esteem on possible self imagery. Acta Physiol (Oxf). 2022;228:103629. https://doi.org/10.1016/j.actpsy.2022.103629 .
Cheng J, Burke M, de Gant B. Country differences in social comparison on social media. Proc ACM Hum -Comput Interact. 2021;4(CSCW3):1–26. https://doi.org/10.1145/3434179 .
Hall JA, Liu D. Social media use, social displacement, and well-being. Curr Opin Psychol. 2022;46:101339. https://doi.org/10.1016/j.copsyc.2022.101339 .
Alonzo R, Hussain J, Stranges S, Anderson KK. Interplay between social media use, sleep quality, and mental health in youth: a systematic review. Sleep Med Rev. 2020;56(101414):101414. https://doi.org/10.1016/j.smrv.2020.101414 .
Hall JA, Johnson RM, Ross EM. Where does the time go? An experimental test of what social media displaces and displaced activities’ associations with affective well-being and quality of day. New Media Soc. 2018;21(3):674–92. https://doi.org/10.1177/1461444818804775 .
Sheldon KM, Titova L. Social media use and well-being: testing an integrated self-determination theory model. Media Psych. 2023;1–23. https://doi.org/10.1080/15213269.2023.2185259 .
Wei S, Chen X, Liu C. What motivates employees to use social media at work? A perspective of self-determination theory. Industrial Management & Data Systems, ahead-of-print(ahead-of-print). 2021b. https://doi.org/10.1108/imds-06-2020-0322
Masur PK, Reinecke L, Ziegele M, Quiring O. The interplay of intrinsic need satisfaction and Facebook specific motives in explaining addictive behavior on Facebook. Comput Hum Behav. 2014;39:376–86. https://doi.org/10.1016/j.chb.2014.05.047 .
Dickson K, Richardson M, Kwan I, MacDowall W, Burchett H, Stansfield C, Brunton G, Sutcliffe K, Thomas J. Screen-based activities and children and young people’s mental health and psychosocial wellbeing: a systematic map of reviews. Department of health reviews facility. London: EPPI-Centre, Social Science Research Unit, UCL Institute of Education, University College London. 2019
Gerpott TJ, Thomas S. Empirical research on mobile Internet usage: a meta-analysis of the literature. Telecomm Policy. 2014;38(3):291–310. https://doi.org/10.1016/j.telpol.2013.10.003 .
••Griffioen N, van Rooij M, Lichtwarck-Aschoff A, Granic I. Toward improved methods in social media research. Tech Mind Behavior. 2020;1(1):5. https://doi.org/10.1037/tmb0000005 . The following narrative review examines methodological approaches used in researching social media usage and youth mental health. The authors highlight the usage of self-report measures in the literature and provide a comprehensive overview of various existing social media scales. Their findings expose the lack of consistent usage of any one social media scale. This article is essential to our narrative review because it calls attention to the issue of reliability and validity of the subjective measures used in social media research.
Howard MC, Jayne BS. An analysis of more than 1,400 articles, 900 scales, and 17 years of research: the state of scales in cyberpsychology, behavior, and social networking. Cyberpsychol Behav Soc Netw. 2015;18(3):181–7. https://doi.org/10.1089/cyber.2014.0418 .
••Mahalingham T, McEvoy PM, Clarke PJF. Assessing the validity of self-report social media use: Evidence of No relationship with objective smartphone use. Comput Hum Behav 2023; 140:107567. ScienceDirect. https://doi.org/10.1016/j.chb.2022.107567 . The aim of this study was to measure the relationship between subjective social media use and objective social media use. The authors found that participants tend to overestimate their social media usage on self-report measures. This research is congruent with other studies and shows how participant estimates of social media usage is often unreliable. This source is essential to our review as it highlights the need for objective measures in social media usage research.
Parry DA, Davidson BI, Sewall CJR, Fisher JT, Mieczkowski H, Quintana DS. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nat Hum Behav. 2021. https://doi.org/10.1038/s41562-021-01117-5 .
Boyle SC, Baez S, Trager BM, LaBrie JW. systematic bias in self-reported social media use in the age of platform swinging: implications for studying social media use in relation to adolescent health behavior. Int J Environ Res Public Health. 2022;19(16):9847. https://doi.org/10.3390/ijerph19169847 .
Burnell K, George MJ, Kurup AR, Underwood MK, Ackerman RA. Associations between self-reports and device-reports of social networking site use: an application of the truth and bias model. Commun Methods Meas. 2021;15(2):156–63. https://doi.org/10.1080/19312458.2021.1918654 .
Verbeij T, Pouwels JL, Beyens I, Valkenburg PM. The accuracy and validity of self-reported social media use measures among adolescents. Comput Hum Behav Rep. 2021;3:100090. https://doi.org/10.1016/j.chbr.2021.100090 .
Davidson BI, Darja Wischerath Racek D, Parry DA, Godwin E, Hinds J, Dirk Jonathan Francis Roscoe Eeva L, Cork A. Platform-controlled social media APIs threaten open science. Nat Hum Behav. 2023. https://doi.org/10.1038/s41562-023-01750-2 .
Orben A, Przybylski AK, Blakemore S-J, Kievit RA. Windows of developmental sensitivity to social media. Nat Commun. 2022;13(1):1649. https://doi.org/10.1038/s41467-022-29296-3 .
Denworth, L. Social media has not destroyed a generation. scientific american. Springer Nat. 2019. https://doi.org/10.1038/scientificamerican1119-44
Orben A, Przybylski AK. The association between adolescent well-being and digital technology use. Nat Hum Behav. 2019;3(2):173–82. https://doi.org/10.1038/s41562-018-0506-1 .
Henson P, Rodriguez-Villa E, Torous J. Investigating associations between screen time and symptomatology in individuals with serious mental illness: longitudinal observational study. J Med Internet Res. 2021;23(3):e23144. https://doi.org/10.2196/23144 .
Paulus MP, Zhao Y, Potenza MN, Aupperle RL, Bagot KS, Tapert SF. Screen media activity in youth: a critical review of mental health and neuroscience findings. J Anxiety Disord. 2023;3:100018. https://doi.org/10.1016/j.xjmad.2023.100018 .
Torous J, Kiang MV, Lorme J, Onnela J-P. New tools for new research in psychiatry: a scalable and customizable platform to empower data driven smartphone research. JMIR Mental Health. 2016;3(2):e16. https://doi.org/10.2196/mental.5165 .
Orr M, MacLeod L, Bagnell A, McGrath PB, Wozney L, Meier S. The comfort of adolescent patients and their parents with mobile sensing and digital phenotyping. Comput Hum Behav. 2023;140:107603–107603. https://doi.org/10.1016/j.chb.2022.107603 .
Gansner M, Nisenson M, Carson N, Torous J. A pilot study using ecological momentary assessment via smartphone application to identify adolescent problematic internet use. Psychiatry Res. 2020;293:113428. https://doi.org/10.1016/j.psychres.2020.113428 .
Langholm C, Kowatsch T, Bucci S, Cipriani A, Torous J. Exploring the potential of Apple SensorKit and digital phenotyping data as new digital biomarkers for mental health research. Digit Biomark. 2023; 104–114. https://doi.org/10.1159/000530698
Hunt MG, Marx R, Lipson C, Young J. No more FOMO: limiting social media decreases loneliness and depression. J Soc Clin Psychol. 2018;37(10):751–68. https://doi.org/10.1521/jscp.2018.37.10.751 .
Lepik K, Murumaa-Mengel M. Students on a social media “detox”: disrupting the everyday practices of social media use. Commun Comput Inf Sci. 2019; 60–69 https://doi.org/10.1007/978-3-030-13472-3_6
Plackett R, Blyth A, Schartau P. the impact of social media use interventions on mental well-being: systematic review. J Med Internet Res. 2023;25(1):e44922. https://doi.org/10.2196/44922 .
van Wezel MMC, Abrahamse EL, Vanden Abeele MMP. Does a 7-day restriction on the use of social media improve cognitive functioning and emotional well-being? Results from a randomized controlled trial. Addict Behav Rep. 2021;14:100365. https://doi.org/10.1016/j.abrep.2021.100365 .
Przybylski AK, Nguyen TT, Law W, Weinstein N. Does taking a short break from social media have a positive effect on well-being? Evidence from three preregistered field experiments. J Technol Behav Sci. 2021; 6. https://doi.org/10.1007/s41347-020-00189-w
Download references
Author information
Authors and affiliations.
Department of Digital Psychiatry, Beth Israel Deaconess Medical Center, Boston, USA
Elana Perlmutter BS, Bridget Dwyer BS & John Torous MD
You can also search for this author in PubMed Google Scholar
Contributions
All authors contributed to this manuscript equally.
Corresponding author
Correspondence to John Torous MD .
Ethics declarations
Competing interests.
The authors declare no competing interests.
Conflict of Interest
Elana Perlmutter declares that she has no conflict of interest. Bridget Dwyer declares that she has no conflict of interest. John Torous declares that he has no conflict of interest.
Additional information
Publisher's note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Reprints and permissions
About this article
Perlmutter, E., Dwyer, B. & Torous, J. Social Media and Youth Mental Health: Assessing the Impact Through Current and Novel Digital Phenotyping Methods. Curr Treat Options Psych 11 , 34–51 (2024). https://doi.org/10.1007/s40501-024-00312-1
Download citation
Accepted : 05 February 2024
Published : 29 February 2024
Issue Date : June 2024
DOI : https://doi.org/10.1007/s40501-024-00312-1
Share this article
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
- Social media
- Youth mental health
- Social media scales
- Digital phenotyping
- Digital detox
- Find a journal
- Publish with us
- Track your research
IMAGES
VIDEO