The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Smartphones, social media use and youth mental health
Open accessAbstract
KEY POINTS In the last decade, increasing mental distress and treatment for mental health conditions among youth in North America has paralleled a steep rise in the use of smartphones and social media by children and adolescents. In Ontario, the proportion of teenagers reporting moderate to serious
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In addition, several reviews used a broad and sometimes even boundless (operational) definition of mental health, which led to the inclusion of a multitude of outcomes, including marihuana use, identity development, social support, (cyber)bullying, and/or academic performance [22,23,27,30].”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [30]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, some reviews were less nuanced in their conclusions and used qualifications of the effect sizes such as 'substantial,' 'detrimental,' and 'deleterious' [25,30,38].”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [30]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Results showed that most reviews interpreted the associations between social media use and mental health as 'weak' or 'inconsistent,' whereas a few qualified the same associations as 'substantial' and 'deleterious.'”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [30]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Although the majority of the reviews concluded that the reported associations of SMU with mental health were small to moderate, some others interpreted these associations as serious [30], substantial [48] or detrimental [25].”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [30]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Los datos confirman un consumo adictivo del teléfono móvil en los jóvenes ( Han ; Kim , 2019; Rather ; Rather , 2019; Abi-Jaoude , Treurnicht-Naylor ; Pignatiello , 2020) que conduce a diversas patologías.”
From Redes sociales y consumo digital en jóvenes universitarios: economía de la atención y oligopolios de la comunicación en el siglo XXI (2020) · cites this paper as Abi-Jaoude, Treurnicht-Naylor; Pignatiello, 2020
Experimental — accuracy not yet measured
The cited source says what the claim attributes to it.
In the citing paper
“For example, time spent on SNS is associated with higher levels of depression [17], whereas emotional connectedness to SNS ('intensity of use') [15] and the number of friends on SNS [16] are unrelated to depression.”
From Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2022) · cites this paper as [16]
In the citing paper
“However, recent studies have shown that the intensity of online activity is negatively associated with subjective well-being (37).”
From Effects of Short Video Addiction on the Motivation and Well-Being of Chinese Vocational College Students (2022) · cites this paper as [37]
In the citing paper
“and that the subjective well-being of individuals who use online activities intensely may be affected (7, 37).”
From Effects of Short Video Addiction on the Motivation and Well-Being of Chinese Vocational College Students (2022) · cites this paper as [37]
In the citing paper
“Several studies have found that addiction may negatively affect users' wellbeing”
From Effects of Short Video Addiction on the Motivation and Well-Being of Chinese Vocational College Students (2022) · cites this paper as [37]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090
Motivational, emotional, and behavioral correlates of fear of missing out
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.014 · Cited by 3,932
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705
Twenge, J. M., Cooper, A. B., Joiner, T. E., Duffy, M. E., & Binau, S. G. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000410 · Cited by 1,469
Chang, A.-M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418490112 · Cited by 1,430
Holland, G., & Tiggemann, M. (2016) · Body Image · doi:10.1016/j.bodyim.2016.02.008 · Cited by 1,395
Chou, H.-T. G., & Edge, N. (2012) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2011.0324 · Cited by 1,166
Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2015) · Body Image · doi:10.1016/j.bodyim.2014.12.002 · Cited by 1,009
How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone
Chotpitayasunondh, V., & Douglas, K. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.018 · Cited by 954
Beyens, I., Frison, E., & Eggermont, S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.083 · Cited by 847
Brain Drain: The Mere Presence of One’s Own Smartphone Reduces Available Cognitive Capacity
Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017) · Journal of the Association for Consumer Research · doi:10.1086/691462 · Cited by 787
Social Networking Sites, Depression, and Anxiety: A Systematic Review
Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016) · JMIR Mental Health · doi:10.2196/mental.5842 · Cited by 763
Twenge, J. M., Martin, G. N., & Campbell, W. K. (2018) · Emotion · doi:10.1037/emo0000403 · Cited by 750
Carter, B., Rees, P., Hale, L., Bhattacharjee, D., & Paradkar, M. S. (2016) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2016.2341 · Cited by 718
Depression, anxiety, and smartphone addiction in university students- A cross sectional study
Matar Boumosleh, J., & Jaalouk, D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0182239 · Cited by 668
Vogel, E. A., Rose, J. P., Okdie, B. M., Eckles, K., & Franz, B. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2015.06.026 · Cited by 632
Cha, S.-S., & Seo, B.-K. (2018) · Health Psychology Open · doi:10.1177/2055102918755046 · Cited by 592
Frison, E., & Eggermont, S. (2016) · Social Science Computer Review · doi:10.1177/0894439314567449 · Cited by 519
Why Interventions to Influence Adolescent Behavior Often Fail but Could Succeed
Yeager, D. S., Dahl, R. E., & Dweck, C. S. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617722620 · Cited by 512
Recent increases in depressive symptoms among US adolescents: trends from 1991 to 2018
Keyes, K. M., Gary, D., O’Malley, P. M., Hamilton, A., & Schulenberg, J. (2019) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01697-8 · Cited by 465
Marchant, A., Hawton, K., Stewart, A., Montgomery, P., Singaravelu, V., Lloyd, K., Purdy, N., Daine, K., & John, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181722 · Cited by 464
The Facebook experiment: Quitting Facebook leads to higher levels of well-being
Tromholt, M. (2016) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0259 · Cited by 419
Smartphone use undermines enjoyment of face-to-face social interactions
Dwyer, R. J., Kushlev, K., & Dunn, E. W. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2017.10.007 · Cited by 407
Hospitalization for Suicide Ideation or Attempt: 2008–2015
Plemmons, G., Hall, M., Doupnik, S., Gay, J., Brown, C., Browning, W., Casey, R., Freundlich, K., Johnson, D. P., Lind, C., et al. (2018) · Pediatrics · doi:10.1542/peds.2017-2426 · Cited by 405
Burrow, A. L., & Rainone, N. (2017) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2016.09.005 · Cited by 385
Association of Facebook Use With Compromised Well-Being: A Longitudinal Study
Shakya, H. B., & Christakis, N. A. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kww189 · Cited by 378
The consequences of media multitasking for youth: A review
van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R., & Valkenburg, P. M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.06.035 · Cited by 370
Ra, C. K., Cho, J., Stone, M. D., De La Cerda, J., Goldenson, N. I., Moroney, E., Tung, I., Lee, S. S., & Leventhal, A. M. (2018) · JAMA · doi:10.1001/jama.2018.8931 · Cited by 360
Problematic Internet use: an overview
Aboujaoude, E. N. (2010) · World Psychiatry · doi:10.1002/j.2051-5545.2010.tb00278.x · Cited by 355
Krasnova, H., Widjaja, T., Buxmann, P., Wenninger, H., & Benbasat, I. (2015) · Information Systems Research · doi:10.1287/isre.2015.0588 · Cited by 304
Twenge, J. M., Krizan, Z., & Hisler, G. (2017) · Sleep Medicine · doi:10.1016/j.sleep.2017.08.013 · Cited by 303
Mendoza, J. S., Pody, B. C., Lee, S., Kim, M., & McDonough, I. M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.04.027 · Cited by 275
Burnette, C. B., Kwitowski, M. A., & Mazzeo, S. E. (2017) · Body Image · doi:10.1016/j.bodyim.2017.09.001 · Cited by 246
Ill Communication: Technology, distraction & student performance
Beland, L.-P., & Murphy, R. (2016) · Labour Economics · doi:10.1016/j.labeco.2016.04.004 · Cited by 236
Park, S. Y., & Baek, Y. M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.028 · Cited by 221
Sampasa‐Kanyinga, H., Roumeliotis, P., & Xu, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102145 · Cited by 216
Reducing Harm From Media: A Meta-Analysis of Parental Mediation
Chen, L., & Shi, J. J. (2018) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699018754908 · Cited by 190
A Systematic Review of Social Media Use to Discuss and View Deliberate Self-Harm Acts
Dyson, M. P., Hartling, L., Shulhan, J., Chisholm, A., Milne, A., Sundar, P. D., Scott, S. D., & Newton, A. S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155813 · Cited by 187
The Scope of Nonsuicidal Self-Injury on YouTube
Lewis, S. P., Heath, N. L., St Denis, J. M., & Noble, R. (2011) · Pediatrics · doi:10.1542/peds.2010-2317 · Cited by 186
Cushing, C. C., Jensen, C. D., Miller, M. B., & Leffingwell, T. R. (2014) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0036912 · Cited by 175
Kushlev, K., & Dunn, E. W. (2019) · Journal of Social and Personal Relationships · doi:10.1177/0265407518769387 · Cited by 162
Vernon, L., Modecki, K. L., & Barber, B. L. (2018) · Child Development · doi:10.1111/cdev.12836 · Cited by 152
Lewis, S. P., Heath, N. L., Sornberger, M. J., & Arbuthnott, A. E. (2012) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2012.01.013 · Cited by 142
Kim, B., & White, K. (2017) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2017.1330696 · Cited by 120
Spiller, H. A., Ackerman, J. P., Spiller, N. E., & Casavant, M. J. (2019) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2019.02.045 · Cited by 119
Internet Addiction among Adolescents May Predict Self-Harm/Suicidal Behavior: A Prospective Study
Pan, P., & Yeh, C. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.01.046 · Cited by 115
Sampasa‐Kanyinga, H., Hamilton, H. A., & Chaput, J. (2018) · Acta Paediatrica · doi:10.1111/apa.14210 · Cited by 96
Weinstein, E. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.038 · Cited by 92
Hökby, S., Hadlaczky, G., Westerlund, J., Wasserman, D., Balázs, J., Germanavičius, A., Machín, N., Mészáros, G., Sarchiapone, M., Värnik, A., et al. (2016) · JMIR Mental Health · doi:10.2196/mental.5925 · Cited by 74
Georgiades, K., Boylan, K., Duncan, L., Wang, L., Colman, I., Rhodes, A. E., Bennett, K., Comeau, J., Manion, I., Boyle, M. H., et al. (2019) · The Canadian Journal of Psychiatry · doi:10.1177/0706743719830031 · Cited by 62
Tatum, N. T., Olson, M. K., & Frey, T. K. (2018) · Communication Education · doi:10.1080/03634523.2017.1417615 · Cited by 37
Real-life closeness of social media contacts and depressive symptoms among university students
Shensa, A. S., Sidani, J. E., Escobar-Viera, C. G., Chu, K., Bowman, N. D., Knight, J. M., & Primack, B. A. (2018) · Journal of American College Health · doi:10.1080/07448481.2018.1440575 · Cited by 34
Royen, K. V., Poels, K., & Vandebosch, H. (2016) · Children and Youth Services Review · doi:10.1016/j.childyouth.2016.02.024 · Cited by 21
Strieter, L., Laddu, D., Sainsbury, J., & Arena, R. A. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.08.005 · Cited by 18
The Scope of Nonsuicidal Self-Injury on YouTube
(2011) · PEDIATRICS · doi:10.1542/peds.2010-2317d · Cited by 12
(2006) · Mental Health Practice · doi:10.7748/mhp.10.3.27.s31 · Cited by 11
Chen, Q., & Yan, Z. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.023 · Cited by 6
Barbero (2014) · doi:10.1016/j · Cited by 1
Research works printed but not linked: 3
- [20]20. Basen I. You can't stop checking your phone because Silicon Valley designed it that way. CBC Radio 2018 Sept. 14. Available: www.cbc.ca/radio/thesundayedition /the-sunday-edition-september-16-2018-1.4822353/you-can-t-stop-checking-your -phone-because-silicon-valley-designed-it-that-way-1.4822360 (accessed 2019 Apr. 10).
- [55]55. Children and media tips from the American Academy of Pediatrics. Itasca (IL): American Academy of Pediatrics; 2018. Available: www.aap.org/en-us/about-the -aap/aap-press-room/news-features-and-safety-tips/Pages/Children-and-Media -Tips.aspx (accessed 2019 Oct. 15).
- [63]63. Charles AS. Chapter eleven: "There's a relationship": Negotiating cell phone use in the high school classroom. In Researching New Literacies: Design, Theory, and Data in Sociocultural Investigation. Bern (Switzerland): Peter Lang, International Academic Publishers; 2017. Available: www.peterlang.com/view /9781433138331 /xhtml/chapter11.xhtml (accessed 2019 Oct. 14).
Cited by
Sorted by citations
Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt‐Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021) · World Psychiatry · doi:10.1002/wps.20883 · Cited by 1,199
Ellis, W. E., Dumas, T. M., & Forbes, L. M. (2020) · Canadian Journal of Behavioural Science / Revue canadienne des sciences du comportement · doi:10.1037/cbs0000215 · Cited by 830
Social media use and its impact on adolescent mental health: An umbrella review of the evidence.
Valkenburg, P. M., Meier, A., & Beyens, I. (2022) · Current opinion in psychology · doi:10.1016/j.copsyc.2021.08.017 · Cited by 767
Prowse, R., Sherratt, F., Abizaid, A. B., Gabrys, R. L., Hellemans, K. G. C., Patterson, Z. R., & McQuaid, R. J. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.650759 · Cited by 496
“In this regard, excessive social media use and its impacts on mental and well-being, including risk of depression, anxiety and suicide, has been of concern for several years (50, 58, 59).”
BackgroundRosenberg, H., Syed, S., & Rezaie, S. R. (2020) · Canadian Journal of Emergency Medicine · doi:10.1017/cem.2020.361 · Cited by 342
“Social media have been associated with increased mental distress, self-harm, and suicide.(2) Additionally, the spread of information is not limited by distance, such that the pandemic of fear can and has spread before the actual C-19 pandemic.”
Background
Metadata
- Authors
- Abi-Jaoude, E., Naylor, K. T., & Pignatiello, A.
- Affiliations
- University Health Network (CA)
- Venue
- Canadian Medical Association Journal
- Publisher
- CMA Impact Inc.
- Published
- 2020-02-09
- Volume
- 192
- Issue
- 6
- Pages
- E136-E141
- ISSN
- 0820-3946 (ISSN-L)
- 1488-2329
- PMC
- PMC7012622
- OpenAlex
- W3005199011
- Cited by
- 627
- References
- 58
- Citations by year
- 2026: 57 · 2025: 127 · 2024: 149 · 2023: 149 · 2022: 79 · 2021: 51 · 2020: 15
- FWCI
- 12.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Canadian Medical Association Journal (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Toronto
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- smartphones, social media use, youth mental health, adolescents, psychological distress, psychotherapy
- MeSH terms
- Smartphone, Adolescent, Mental Disorders, Child, Humans, Mental Health, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review