How Much Is Too Much? Examining the Relationship Between Digital Screen Engagement and Psychosocial Functioning in a Confirmatory Cohort Study
Open accessAbstract
OBJECTIVE: Previous studies have offered mixed results regarding the link between digital screen engagement and the psychosocial functioning of young people. In this study, we aimed to determine the magnitude of this relation, to inform the discussion regarding whether amount of digital screen time has a subjectively significant impact on the psychosocial functioning of children and adolescents. METHOD: We analyzed data from primary caregivers participating in the National Survey of Children's Health (NSCH), an annual nationally representative survey fielded by the US Census Bureau between June 2016 and February 2017. NSCH uses an address-based sampling frame and both Web- and paper-based data collection instruments to measure psychosocial functioning and digital engagement, including a modified version of the Strengths and Difficulties questionnaire and caregiver estimates of daily television- and device-based engagement, respectively. RESULTS: The expected parabolic inverted-U-shaped relationship linking digital screen engagement to psychosocial functioning was found. These results replicated past findings suggesting that moderate levels of screen time (1-2 hours a day) were associated with slightly higher levels of psychosocial functioning compared to lower or higher levels of engagement. Furthermore, it indicated that children and adolescents would require 4 hours 40 minutes of television-based engagement and 5 hours 8 minutes of daily device-based engagement before caregivers would be able to notice subjectively significant variations in psychosocial functioning. CONCLUSION: The possible influence of digital screen engagement is likely smaller and more nuanced than we might expect. These findings do not rule out the possibility that parents might only notice very high levels of screen time when their child manifests pronounced psychosocial difficulties. Future work should be guided by transparent and confirmatory programs of research.
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
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?
This aligns to the 'digital Goldilocks hypothesis' and other evidence of a curvilinear relationship between SMU and psychosocial adjustment, whereby moderate SMU is beneficial to well-being (compared to no use at all) but excessive use is associated with negative outcomes.
“This aligns to the 'digital Goldilocks hypothesis' [24] and other evidence of a curvilinear relationship between SMU and psychosocial adjustment [23], whereby moderate SMU is beneficial to well-being (compared to no use at all) but excessive use is associated with negative outcomes.”
From Social media use and social connectedness among adolescents in the United Kingdom: a qualitative exploration of displacement and stimulation (2021) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812 · see citing works
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,469 · see citing works
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195 · see citing works
Norman, G. R., Sloan, J. A., & Wyrwich, K. W. (2003) · Medical Care · doi:10.1097/01.mlr.0000062554.74615.4c · Cited by 4,700 · see citing works
An effect size primer: A guide for clinicians and researchers.
Ferguson, C. J. (2009) · Professional Psychology: Research and Practice · doi:10.1037/a0015808 · Cited by 3,467 · see citing works
A manifesto for reproducible science
Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J. J., & Ioannidis, J. P. A. (2017) · Nature Human Behaviour · doi:10.1038/s41562-016-0021 · Cited by 3,397 · see citing works
Goodman, R., Ford, T., Simmons, H., Gatward, R., & Meltzer, H. (2000) · British Journal of Psychiatry · doi:10.1192/bjp.177.6.534 · Cited by 1,818 · see citing works
Hill, D., Ameenuddin, N., Chassiakos, Y. R., Cross, C., Hutchinson, J. W., Levine, A. E., Boyd, R. W., Mendelson, R. A., Moreno, M. A., & Swanson, W. S. (2016) · PEDIATRICS · doi:10.1542/peds.2016-2591 · Cited by 1,604 · see citing works
The association between adolescent well-being and digital technology use
Orben, A., & Przybylski, A. K. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0506-1 · Cited by 1,500 · cited 3× · see citing works
“These associations speak to the idea that digital engagement, depending on how it is measured, does not necessarily displace positive developmental experiences such as face-to-face socializing.(18) Furthermore, the UNCRC is clear that young people have a right to play and information, if rich analogue opportunities fa…”
BackgroundResultInfluentialSelf-citationCarson, V., Hunter, S., Kuzik, N., Gray, C. E., Poitras, V. J., Chaput, J.-P., Saunders, T. J., Katzmarzyk, P. T., Okely, A. D., Connor Gorber, S., et al. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0630 · Cited by 1,380 · see citing works
Parental Mediation of Children's Internet Use
Livingstone, S., & Helsper, E. J. (2008) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838150802437396 · Cited by 1,352 · cited 1× · see citing works
“Instead, these findings indicate that other dimensions of digital engagement, including the content of and caregiver engagement with screens, provide more promising accounts of psychosocial functioning.(31) These results speak to the larger literature concerned with the potential effects of digital screen time on youn…”
ResultThe conception of the ABCD study: From substance use to a broad NIH collaboration
Volkow, N. D., Koob, G. F., Croyle, R. T., Bianchi, D. W., Gordon, J. A., Koroshetz, W. J., Pérez-Stable, E. J., Riley, W. T., Bloch, M. H., Conway, K., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.10.002 · Cited by 970 · see citing works
Przybylski, A. K., & Weinstein, N. (2017) · Psychological Science · doi:10.1177/0956797616678438 · Cited by 890 · see citing works
Self-citationMedia Use by Children Younger Than 2 Years
Brown, A. (2011) · PEDIATRICS · doi:10.1542/peds.2011-1753 · Cited by 487 · see citing works
Screens, Teens, and Psychological Well-Being: Evidence From Three Time-Use-Diary Studies
Orben, A., & Przybylski, A. K. (2019) · Psychological Science · doi:10.1177/0956797619830329 · Cited by 414 · see citing works
Self-citationEvidence for publication bias in video game violence effects literature: A meta-analytic review
Ferguson, C. J. (2007) · Aggression and Violent Behavior · doi:10.1016/j.avb.2007.01.001 · Cited by 364 · see citing works
Matsuishi, T., Nagano, M., Araki, Y., Tanaka, Y., Iwasaki, M., Yamashita, Y., Nagamitsu, S., Iizuka, C., Ohya, T., Shibuya, K., et al. (2008) · Brain and Development · doi:10.1016/j.braindev.2007.12.003 · Cited by 346 · see citing works
Do smartphone usage scales predict behavior?
Ellis, D. A., Davidson, B. I., Shaw, H., & Geyer, K. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.05.004 · Cited by 326 · see citing works
Przybylski, A. K., & Weinstein, N. (2017) · Child Development · doi:10.1111/cdev.13007 · Cited by 325 · see citing works
Self-citationCostigan, S. A., Barnett, L., Plotnikoff, R. C., & Lubans, D. R. (2013) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2012.07.018 · Cited by 290 · see citing works
The relation between television exposure and executive function among preschoolers.
Nathanson, A. I., Aladé, F., Sharp, M. L., Rasmussen, E. E., & Christy, K. (2014) · Developmental Psychology · doi:10.1037/a0035714 · Cited by 283 · see citing works
Becker, A., Hagenberg, N., Roessner, V., Woerner, W., & Rothenberger, A. (2004) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-004-2004-4 · Cited by 269 · see citing works
Elson, M., & Ferguson, C. J. (2014) · European Psychologist · doi:10.1027/1016-9040/a000147 · Cited by 237 · see citing works
Parkes, A., Sweeting, H. N., Wight, D., & Henderson, M. (2013) · Archives of Disease in Childhood · doi:10.1136/archdischild-2011-301508 · Cited by 196 · see citing works
Television Viewing in Infancy and Child Cognition at 3 Years of Age in a US Cohort
Schmidt, M. E., Rich, M., Rifas-Shiman, S., Oken, E., & Taveras, E. (2009) · Pediatrics · doi:10.1542/peds.2008-3221 · Cited by 178 · see citing works
Virtually impossible: limiting Australian children and adolescents daily screen based media use
Houghton, S., Hunter, S. C., Rosenberg, M., Wood, L., Zadow, C., Martin, K., & Shilton, T. (2015) · BMC Public Health · doi:10.1186/1471-2458-15-5 · Cited by 154 · see citing works
Gervais, R. O., Ben‐Porath, Y. S., Wygant, D. B., & Sellbom, M. (2010) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acq018 · Cited by 107 · see citing works
Digital Screen Time and Pediatric Sleep: Evidence from a Preregistered Cohort Study
Przybylski, A. K. (2019) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.09.054 · Cited by 102 · see citing works
Self-citationEverything in Moderation: Moderate Use of Screens Unassociated with Child Behavior Problems
Ferguson, C. J. (2017) · Psychiatric Quarterly · doi:10.1007/s11126-016-9486-3 · Cited by 86 · see citing works
Choi, J., Cho, H., Lee, S.-M., Kim, J., & Park, E. (2018) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2017.11.291 · Cited by 68 · see citing works
A prospective study of the motivational and health dynamics of Internet Gaming Disorder
Weinstein, N., Przybylski, A. K., & Murayama, K. (2017) · PeerJ · doi:10.7717/peerj.3838 · Cited by 66 · see citing works
Self-citationMcCarthy, R. J., Coley, S. L., Wagner, M. F., Zengel, B., & Basham, A. (2016) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2015.10.009 · Cited by 64 · see citing works
Beyond ‘turn it off’: How to advise families on media use
Brown, A., Shifrin, D. L., & Hill, D. (2015) · AAP News · doi:10.1542/aapnews.20153610-54 · Cited by 62 · see citing works
Ferguson, C. J., & Donnellan, M. B. (2013) · Developmental Psychology · doi:10.1037/a0033628 · Cited by 44 · see citing works
The Science of Technology and Human Behavior
Elson, M., & Przybylski, A. K. (2017) · Journal of Media Psychology Theories Methods and Applications · doi:10.1027/1864-1105/a000212 · Cited by 26 · see citing works
Self-citationThe Science of Technology and Human Behavior: Standards, Old and NewPreprint
Elson, M., & Przybylski, A. K. (2017) · doi:10.31234/osf.io/u58mq · Cited by 2 · see citing works
Self-citationCode for Restructuring and AnalysisPreprint
Przybylski, A. K., Orben, A. C., & Weinstein, N. (2018) · doi:10.17605/osf.io/2xr95 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Internet use and attitudes. Metrics Bull. 2017;2017:22.
Cited by
Sorted by citations
Loades, M. E., Chatburn, E., Higson-Sweeney, N., Reynolds, S., Shafran, R., Brigden, A., Linney, C., McManus, M. N., Borwick, C., & Crawley, E. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.05.009 · Cited by 2,906 · see citing works
“The effect of widespread social distancing could mitigate against the social isolation described with increased use of Internet-mediated relationships, which can be beneficial to adolescents.(92) Most studies were cross-sectional, and therefore the direction of the association cannot be inferred.”
BackgroundThe impact of digital technology use on adolescent well-being
Dienlin, T., & Johannes, N. (2020) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2020.22.2/tdienlin · Cited by 393 · see citing works
Madigan, S., Eirich, R., Pador, P., McArthur, B. A., & Neville, R. D. (2022) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2022.4116 · Cited by 272 · see citing works
The Impact of Social Media on the Mental Health of Adolescents and Young Adults: A Systematic Review
Khalaf, A. M., Alubied, A. A., Khalaf, A. M., & Rifaey, A. A. (2023) · Cureus · doi:10.7759/cureus.42990 · Cited by 252 · see citing works
The Association Between Smartphone Addiction and Sleep: A UK Cross-Sectional Study of Young Adults
Sohn, S. Y., Krasnoff, L., Rees, P., Kalk, N. J., & Carter, B. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.629407 · Cited by 169 · see citing works
Coping with crisis: The paradox of technology and consumer vulnerability
Yap, S. F., Xu, Y., & Tan, L. P. (2021) · International Journal of Consumer Studies · doi:10.1111/ijcs.12724 · Cited by 172 · see citing works
Selwyn, N., & Aagaard, J. (2021) · British Journal of Educational Technology · doi:10.1111/bjet.12943 · Cited by 119 · see citing works
Neville, R. D., McArthur, B. A., Eirich, R., Lakes, K. D., & Madigan, S. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13425 · Cited by 109 · see citing works
Sociodemographic Correlates of Contemporary Screen Time Use among 9- and 10-Year-Old Children
Nagata, J. M., Ganson, K. T., Iyer, P., Chu, J., Baker, F. C., Pettee Gabriel, K., Garber, A. K., Murray, S. B., & Bibbins-Domingo, K. (2022) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2021.08.077 · Cited by 117 · see citing works
Winstone, L., Mars, B., Haworth, C. M. A., & Kidger, J. (2021) · BMC Public Health · doi:10.1186/s12889-021-11802-9 · Cited by 111 · see citing works
Nagata, J. M., Al-Shoaibi, A. A. A., Leong, A. W., Zamora, G., Testa, A., Ganson, K. T., & Baker, F. C. (2024) · BMC Public Health · doi:10.1186/s12889-024-20102-x · Cited by 103 · see citing works
“…longitudinal data and larger cohorts other than the ABCD Study cohort, we found weak but significant correlations between screen time and adolescents’ internalizing and externalizing behavior symptoms, including depression, anxiety, ADHD, somatic, ODD, and conduct symptoms [12, 57, 84, 110, 111].”
BackgroundFirth, J., Torous, J. B., López‐Gil, J. F., Linardon, J., Milton, A. C., Lambert, J. D., Smith, L., Jarić, I., Fabian, H., Vancampfort, D., et al. (2024) · World Psychiatry · doi:10.1002/wps.21188 · Cited by 99 · see citing works
Reisdorf, B. C., Fernandez, L., Hampton, K. N., Shin, I., & Dutton, W. H. (2020) · Social Science Computer Review · doi:10.1177/0894439320909446 · Cited by 77 · see citing works
Reviewing the Impact of Social Media on the Mental Health of Adolescents and Young Adults
Gupta, C., Jogdand, S., & Kumar, M. (2022) · Cureus · doi:10.7759/cureus.30143 · Cited by 123 · see citing works
Schmidt-Persson, J., Rasmussen, M. G. B., Sørensen, S. O., Mortensen, S. R., Olesen, L. G., Brage, S., Kristensen, P. L., Bilenberg, N., & Grøntved, A. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.19881 · Cited by 73 · see citing works
Nagata, J. M., Iyer, P., Chu, J., Baker, F., Gabriel, K. P., Garber, A., Murray, S. B., Bibbins-Domingo, K., & Ganson, K. (2021) · International Journal of Eating Disorders · doi:10.1002/eat.23489 · Cited by 60 · see citing works
Goodyear, V. A., Randhawa, A., Adab, P., Al-Janabi, H., Fenton, S., Jones, K., Michail, M., Morrison, B., Patterson, P., Quinlan, J., et al. (2025) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2025.101211 · Cited by 72 · see citing works
Directing smartphone use through the self-nudge app one sec
Grüning, D. J., Riedel, F., & Lorenz-Spreen, P. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2213114120 · Cited by 67 · see citing works
McNamee, P., Mendolia, S., & Yerokhin, O. (2021) · Economics & Human Biology · doi:10.1016/j.ehb.2021.100992 · Cited by 62 · see citing works
Adolescents’ real-time social and affective experiences of online and face-to-face interactions
Achterhof, R., Kirtley, O. J., Schneider, M., Hagemann, N., Hermans, K. S. F. M., Hiekkaranta, A. P., Lecei, A., Lafit, G., & Myin-Germeys, I. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107159 · Cited by 62 · see citing works
Teenage sleep and technology engagement across the week
Orben, A. C., & Przybylski, A. K. (2020) · PeerJ · doi:10.7717/peerj.8427 · Cited by 61 · see citing works
Self-citationGaming and social media use among adolescents in the midst of the COVID-19 pandemic
Nilsson, A., Rosendahl, I. K., & Jayaram‐Lindström, N. (2022) · Nordic Studies on Alcohol and Drugs · doi:10.1177/14550725221074997 · Cited by 58 · see citing works
Koban, K., Biehl, J., Bornemeier, J., & Ohler, P. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1946154 · Cited by 57 · see citing works
Smartphone screen time reduction improves mental health: a randomized controlled trial
Pieh, C., Humer, E. C., Hoenigl, A., Schwab, J., Mayerhofer, D., Dale, R., & Haider, K. (2025) · BMC Medicine · doi:10.1186/s12916-025-03944-z · Cited by 64 · see citing works
Screen media activity in youth: A critical review of mental health and neuroscience findings
Paulus, M. P., Zhao, Y., Potenza, M. N., Aupperle, R. L., Bagot, K. S., & Tapert, S. F. (2023) · Journal of Mood and Anxiety Disorders · doi:10.1016/j.xjmad.2023.100018 · Cited by 44 · see citing works
Hartanto, A., Lua, V. Y. Q., Quek, F. Y. X., Yong, J. C., & Ng, M. H. S. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100135 · Cited by 45 · see citing works
Nagata, J. M., Chu, J., Ganson, K. T., Murray, S. B., Iyer, P., Gabriel, K. P., Garber, A. K., Bibbins‐Domingo, K., & Baker, F. C. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13673 · Cited by 39 · see citing works
From social media to artificial intelligence: improving research on digital harms in youth
Mansfield, K. L., Ghai, S., Hakman, T., Ballou, N., Vuorre, M., & Przybylski, A. K. (2025) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(24)00332-8 · Cited by 46 · see citing works
Self-citationThe impact of media on children during the COVID-19 pandemic: A narrative review
Mesce, M., Ragona, A., Cimino, S., & Cerniglia, L. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e12489 · Cited by 45 · see citing works
To use or be used? The role of agency in social media use and well-being
Lee, A. Y., Ellison, N. B., & Hancock, J. T. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2023.1123323 · Cited by 34 · see citing works
Associations of Passive and Active Screen Time With Psychosomatic Complaints of Adolescents
Khan, A., Lee, E., Janssen, I., & Tremblay, M. S. (2022) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2022.01.008 · Cited by 30 · see citing works
Hjetland, G. J., Finserås, T. R., Sivertsen, B., Colman, I., Hella, R. T., Andersen, A. I. O., & Skogen, J. C. (2024) · BMC Public Health · doi:10.1186/s12889-024-20052-4 · Cited by 28 · see citing works
Song, K., Zhang, J., Zhou, N., Fu, Y., Zou, B., Xu, L., Wang, Z., Li, X., Zhao, Y., Potenza, M. N., et al. (2023) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2023.02.014 · Cited by 28 · see citing works
McArthur, B. A., Browne, D., Racine, N., Tough, S., & Madigan, S. (2022) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-021-00895-w · Cited by 26 · see citing works
Ballou, N., & Zendle, D. I. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107140 · Cited by 25 · see citing works
Lieberoth, A., & Fiskaali, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.586699 · Cited by 25 · see citing works
Ganson, K. T., Nguyen, L., Ali, A. R. H., Hallward, L., Jackson, D. B., Testa, A. M., & Nagata, J. M. (2023) · Eating Behaviors · doi:10.1016/j.eatbeh.2023.101736 · Cited by 23 · see citing works
Skripkauskaite, S., Fazel, M., & the OxWell Study Team (2022) · JMIR Pediatrics and Parenting · doi:10.2196/41480 · Cited by 29 · see citing works
Regehr, K., Shaughnessy, C., Zhao, M., Cambazoglu, I., Turner, A., & Shaughnessy, N. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1523649 · Cited by 20 · see citing works
Ten Myths About the Effect of Social Media Use on Well-Being
Hall, J. A. (2024) · Journal of Medical Internet Research · doi:10.2196/59585 · Cited by 19 · see citing works
Hong, J., Su, Y., Wang, J., Xu, X., Qu, W., Fan, H., Tan, Y., Wang, Z., Zhao, Y., & Tan, S. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103584 · Cited by 18 · see citing works
Madigan, S., & Reich, S. M. (2023) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2023.3670 · Cited by 18 · see citing works
Evaluating the Role of a Socially Assistive Robot in Children’s Mental Health Care
Kitt, E. R., Crossman, M. K., Matijczak, A., Burns, G. B., & Kazdin, A. E. (2021) · Journal of Child and Family Studies · doi:10.1007/s10826-021-01977-5 · Cited by 18 · see citing works
Nagata, J. M., Cortez, C. A., Iyer, P., Ganson, K., Chu, J., & Conroy, A. A. (2021) · Academic pediatrics · doi:10.1016/j.acap.2021.12.008 · Cited by 16 · see citing works
Wood, G., Goodyear, V. A., Adab, P., Al‐Janabi, H., Fenton, S. A. M., Jones, K., Michail, M., Morrison, B., Patterson, P. H., Sitch, A. J., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-075832 · Cited by 22 · see citing works
Internal and external factors influencing Gen Z wellbeing
Dwidienawati, D., Pradipto, Y. D., Indrawati, L., & Gandasari, D. (2025) · BMC Public Health · doi:10.1186/s12889-025-22124-5 · Cited by 15 · see citing works
Engberg, E., Hietajärvi, L., Maksniemi, E., Lahti, J. M. T., Lonka, K., Salmela‐Aro, K., & Viljakainen, H. T. (2022) · Mental health and physical activity · doi:10.1016/j.mhpa.2022.100448 · Cited by 13 · see citing works
Brannigan, R., Cronin, F. M., McEvoy, O., Stanistreet, D., & Layte, R. (2022) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-022-02352-5 · Cited by 13 · see citing works
Ganson, K. T., Nagata, J. M., Jones, C., Testa, A. M., Jackson, D. B., & Hammond, D. G. (2023) · Preventive Medicine · doi:10.1016/j.ypmed.2023.107450 · Cited by 13 · see citing works
Brockmeier, L. C., Keller, J., Dingler, T., Paduszyńska, N., Łuszczyńska, A., & Radtke, T. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108624 · Cited by 15 · see citing works
Hung, M.-W., Yuan, C. W., Bi, N., Chen, Y., Lee, W., Huang, M., & You, C.-W. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512972 · Cited by 11 · see citing works
Socioemotional Development in the Digital Age
Hollenstein, T., & Colasante, T. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1820224 · Cited by 13 · see citing works
Identifying protective and risk behavior patterns of online communication in young people
Lowthian, E., Fee, G., Wakeham, C., Clegg, Z., Crick, T., & Anthony, R. (2023) · Journal of Adolescence · doi:10.1002/jad.12270 · Cited by 11 · see citing works
Ho, S. N. J., Yu, M., & Brown, T. (2024) · Journal of Occupational Therapy Schools & Early Intervention · doi:10.1080/19411243.2024.2333276 · Cited by 10 · see citing works
Developmental structure of digital maturity
Hofmans, L., van der Stappen, A., & van den Bos, W. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108239 · Cited by 10 · see citing works
Guțu, I., Medeleanu, C., & Asiminei, R. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306079 · Cited by 20 · see citing works
Alves, M. I., Júnior, S. A. D., Martins, T., Felipe, A. O. B., Freitas, P. S., & Moreira, D. D. S. (2025) · Journal of Child and Adolescent Psychiatric Nursing · doi:10.1111/jcap.70015 · Cited by 10 · see citing works
Wilkins, L., Beukes, E. W., Dowsett, R., & Allen, P. M. (2023) · Entertainment Computing · doi:10.1016/j.entcom.2023.100547 · Cited by 10 · see citing works
Asarnow, L. D., Gasperetti, C. E., Gumport, N. B., & Harvey, A. G. (2021) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.9380 · Cited by 9 · see citing works
Systems-theoretical observations of moral media panic debates
Tække, J. (2021) · Kybernetes · doi:10.1108/k-11-2020-0724 · Cited by 9 · see citing works
Metagenomic detection of central nervous system infections missedby conventional testing
Ferreira, N. E., Berg, M. G., da Costa, A. C., Rodgers, M. A., Kallas, E. G., Silveira, C. G. T., Thomazella, M. V., de Oliveira, A. C. S., Honorato, L., Paião, H. G. O., et al. (2025) · JCI Insight · doi:10.1172/jci.insight.189295 · Cited by 10 · see citing works
Gumport, N. B., Gasperetti, C. E., Silk, J. S., & Harvey, A. G. (2021) · Journal of Youth and Adolescence · doi:10.1007/s10964-021-01429-9 · Cited by 8 · see citing works
Digital measures of activity and motivation impact depression and anxiety in the real world
Beltrán, J., Jacob, Y., Mehta, M., Hossain, T., Adams, A., Fontaine, S., Torous, J. B., McDonough, C., Johnson, M., Delgado, A. D., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01669-0 · Cited by 7 · see citing works
Frei, E., Frei, O., Jaholkowski, P. P., Parker, N., Parekh, P., Shadrin, A. A., Hagen, E., Bakken, N. R., Birkenæs, V., Ask, H., et al. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116761 · Cited by 7 · see citing works
Are smartphones addictive? An urgent question in the pandemic age
Kalk, N. J., Carter, B., & Sohn, S. Y. (2021) · Health Policy and Technology · doi:10.1016/j.hlpt.2021.02.004 · Cited by 7 · see citing works
Beltrán, J., Jacob, Y., Mehta, M., Hossain, M. T., Adams, A., Fontaine, S., Torous, J. B., McDonough, C., Johnson, M., Delgado, A. D., et al. (2024) · medRxiv · doi:10.1101/2024.08.06.24311477 · Cited by 7 · see citing works
Brockmeier, L. C., Mertens, L., Roitzheim, C., Radtke, T., Dingler, T., & Keller, J. (2025) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12646 · Cited by 7 · see citing works
Filtering reality: Navigating Instagram’s influence on adolescent mental health
Balamurugan, G., & Vijayarani, M. (2025) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_483_24 · Cited by 6 · see citing works
The effect of social media engagement on telemedicine adoption: an empirical study
Dass, J., Yeravdekar, R., & Singh, A. (2024) · International Journal of Pharmaceutical and Healthcare Marketing · doi:10.1108/ijphm-08-2023-0072 · Cited by 6 · see citing works
Digital Media and the Developing Brain
Chiu, M. Y., & Chein, J. M. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108976237.008 · Cited by 6 · see citing works
Eales, L., Giammanco, O., & Ferguson, G. M. (2024) · Journal of Children and Media · doi:10.1080/17482798.2024.2431968 · Cited by 5 · see citing works
Mental Health Effects of Social Media on Adolescents
Tiwari, R. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.57651 · Cited by 5 · see citing works
A scoping review of parental stress related to children’s screen time
Sowmya, S., & Vithya, V. (2025) · Discover Psychology · doi:10.1007/s44202-025-00395-8 · Cited by 7 · see citing works
Gervilla, E., Irles, D. L., Cabrera‐Perona, V., Fernández‐Martínez, I., & Anupol, J. (2023) · Journal for the Study of Education and Development Infancia y Aprendizaje · doi:10.1080/02103702.2023.2191428 · Cited by 6 · see citing works
Wang, X., Tang, L., Zhang, M., He, Z.-X., Zhu, N., Du, X., Liang, H., Luo, T., & Liu, Y. (2025) · British Journal of Developmental Psychology · doi:10.1111/bjdp.70014 · Cited by 4 · see citing works
Digital Acculturation or Displacement?: Examining the Link Between Social Media and Well-Being
Guan, S. A. (2021) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2021.585906 · Cited by 4 · see citing works
Critically appraising the pitfalls of screen time effects research
Pontes, H. M. (2020) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867420963736 · Cited by 4 · see citing works
Langton, K., Jayakumar, E., See, H. W., Archer, C. J., & Woodley, G. (2025) · Media International Australia · doi:10.1177/1329878x251330298 · Cited by 3 · see citing works
Cyberbullying and Mental Health in Children and Adolescents
Nickerson, A. B., & Fredrick, S. S. (2025) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-061324-073435 · Cited by 8 · see citing works
The Effects of Digital Detox on Digital Phobias, Motivation, Self-Efficacy, and Academic Performance
Özbay, Ö., Sarıkahya, S. D., & Özbay, S. Ç. (2026) · Participatory Educational Research · doi:10.17275/per.26.26.13.2 · Cited by 3 · see citing works
Analysis of Child Engagement with Digital using the Digital SPSS Method
(2023) · Journal on Innovations in Teaching and Learning · doi:10.46632/jitl/2/1/2 · Cited by 3 · see citing works
Li, S., Chai, L., Ma, L., Gu, S., Wang, T., Wang, L., & Zhou, J. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108847 · Cited by 3 · see citing works
Leveraging family force to assist adolescent patients in the treatment of technology abuse
Hung, M.-W., Yuan, C. W., Chen, Y., Bi, N., Lee, W., Huang, M., & You, C.-W. (2020) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3410530.3414391 · Cited by 3 · see citing works
Editorial: Did Goldilocks Have It Right? How Do We Define Too Little, Too Much, or Just Right?
Belfort, E. L. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2019.11.023 · Cited by 3 · see citing works
Impact of the COVID-19 lockdown in the United Kingdom on adolescent’s time use (CONTRAST study)
Pokhilenko, I., Frew, E., Murphy, M., & Pallan, M. (2025) · PLOS ONE · doi:10.1371/journal.pone.0310597 · Cited by 2 · see citing works
Xu, M., Liu, S., Xu, J., Zhou, Y., & Xu, L. (2024) · Journal of Pediatric Health Care · doi:10.1016/j.pedhc.2024.11.009 · Cited by 2 · see citing works
Eicher, M., Johannessen, R., & Jokeit, H. (2025) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2025.110336 · Cited by 3 · see citing works
McAlister, K. L., Lawrence‐Sidebottom, D., McCutchen, D., Roots, M., & Huberty, J. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1556468 · Cited by 2 · see citing works
Kovačič, M., & Orso, C. E. (2025) · Review of Economics of the Household · doi:10.1007/s11150-025-09796-z · Cited by 3 · see citing works
Fonseca, X. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.1001438 · Cited by 2 · see citing works
Testing Concerns about Technology's Behavioral Impacts with N-of-one Trials
Matias, J. N., Pennington, E., & Chan, Z. T. (2022) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3531146.3533227 · Cited by 2 · see citing works
Štemberger, V., & Petrušič, T. (2023) · Sport — nauka i praksa = Sport — Science And Practice · doi:10.5937/snp13-1-44828 · Cited by 1 · see citing works
Cristovão, F., Senna, L. A. S., Mendes, D., Veiga, E., Valente, A., & Peixoto, V. R. (2025) · Acta Médica Portuguesa · doi:10.20344/amp.23409 · Cited by 1 · see citing works
Eales, L., Wiglesworth, A., Cullen, K. R., & Klimes‐Dougan, B. (2025) · Development and Psychopathology · doi:10.1017/s0954579425100655 · Cited by 1 · see citing works
Kyei‐Gyamfi, S., & Kyei‐Gyamfi, Z. (2025) · Child Abuse Review · doi:10.1002/car.70073 · Cited by 1 · see citing works
Learning in the Loop: AI, Feedback, and the Future of Human Thought
Dingler, T. (2026) · Springer eBooks · doi:10.1007/978-981-95-1622-3_9 · Cited by 1 · see citing works
Klintwall, L., Nilsson, A., Bellander, M., Magnusson, K., & Jayaram‐Lindström, N. (2026) · Scandinavian Journal of Child and Adolescent Psychiatry and Psychology · doi:10.2478/sjcapp-2026-0002 · Cited by 1 · see citing works
Qamar, A., & Ali, I. (2026) · PLOS Global Public Health · doi:10.1371/journal.pgph.0005529 · Cited by 3 · see citing works
Screen Use and Emotional, Behavioral, and Social Development in Children
McQuaid, F., Skafida, V., McQuillan, R., & Lee, B. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.26804 · Cited by 1 · see citing works
- Authors
- Przybylski, A. K., Orben, A., & Weinstein, N.
- Affiliations
- University of Oxford (GB)
- Cardiff University (GB)
- Corresponding author
- Przybylski, Andrew K.
- Venue
- Journal of the American Academy of Child & Adolescent Psychiatry
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 59
- Issue
- 9
- Pages
- 1080-1088
- ISSN
- 0890-8567 (ISSN-L)
- OpenAlex
- W2964864378
- Cited by
- 142
- References
- 37
- Citations by year
- 2026: 18 · 2025: 31 · 2024: 16 · 2023: 21 · 2022: 20 · 2021: 21 · 2020: 14 · 2014: 1
- FWCI
- 37.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of the American Academy of Child & Adolescent Psychiatry (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- CentAUR (University of Reading) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- Funders
- Economic and Social Research Council
- Topics
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- screen time, psychosocial functioning, children and adolescents, television viewing, inverted U-shaped relationship, Strengths and Difficulties Questionnaire, National Survey of Children's Health
- MeSH terms
- Child Health, Psychosocial Functioning, Adolescent, Child, Humans, Parents, Television, Cohort Studies
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