Blog

An umbrella review of the benefits and risks associated with youths’ interactions with electronic screens | Nature Human Behaviour

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Nature Human Behaviour (2023 )Cite this article Electronic Bus Sign

An umbrella review of the benefits and risks associated with youths’ interactions with electronic screens | Nature Human Behaviour

The influence of electronic screens on the health of children and adolescents and their education is not well understood. In this prospectively registered umbrella review (PROSPERO identifier CRD42017076051), we harmonized effects from 102 meta-analyses (2,451 primary studies; 1,937,501 participants) of screen time and outcomes. In total, 43 effects from 32 meta-analyses met our criteria for statistical certainty. Meta-analyses of associations between screen use and outcomes showed small-to-moderate effects (range: r = –0.14 to 0.33). In education, results were mixed; for example, screen use was negatively associated with literacy (r = –0.14, 95% confidence interval (CI) = –0.20 to –0.09, P ≤ 0.001, k = 38, N = 18,318), but this effect was positive when parents watched with their children (r = 0.15, 95% CI = 0.02 to 0.28, P = 0.028, k = 12, N = 6,083). In health, we found evidence for several small negative associations; for example, social media was associated with depression (r = 0.12, 95% CI = 0.05 to 0.19, P ≤ 0.001, k = 12, N = 93,740). Limitations of our review include the limited number of studies for each outcome, medium-to-high risk of bias in 95 out of 102 included meta-analyses and high heterogeneity (17 out of 22 in education and 20 out of 21 in health with I2 > 50%). We recommend that caregivers and policymakers carefully weigh the evidence for potential harms and benefits of specific types of screen use.

This is a preview of subscription content, access via your institution

Access Nature and 54 other Nature Portfolio journals

Get Nature+, our best-value online-access subscription

Receive 12 digital issues and online access to articles

Rent or buy this article

Prices vary by article type

Prices may be subject to local taxes which are calculated during checkout

All data for this review are available from the authors’ GitHub repository (https://github.com/motivation-and-Behaviour/screen_umbrella) or from the Open Science Foundation (https://osf.io/3ubqp/).

All codes used in these analyses are available on the authors’ GitHub repository (https://github.com/motivation-and-Behaviour/screen_umbrella).

Blair, A. Reading strategies for coping with information overload ca. 1550–1700. J. Hist. Ideas 64, 11–28 (2003).

Bell, A. N. The Sanitarian Vol. 11 (AN Bell, 1883).

Dill, K. E. The Oxford Handbook of Media Psychology (Oxford Univ. Press, 2013).

Wartella, E. A. & Jennings, N. Children and computers: new technology. Old concerns. Future Child. 10, 31–43 (2000).

Article  CAS  PubMed  Google Scholar 

Rhodes, A. Top ten child health problems: what the public thinks. RCH National Child Health Poll (2015).

The Lancet. Social media, screen time, and young people’s mental health. Lancet 393, 611 (2019).

Article  CAS  PubMed  Google Scholar 

Hale, L. & Guan, S. Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep Med. Rev. 21, 50–58 (2015).

Sweetser, P., Johnson, D., Ozdowska, A. & Wyeth, P. Active versus passive screen time for young children. Australas. J. Early Child. 37, 94–98 (2012).

Li, X. & Atkins, M. S. Early childhood computer experience and cognitive and motor development. Pediatrics 113, 1715–1722 (2004).

Warburton, W. & Highfield, K. in Children, Families and Communities (eds Grace, R. et al.) 195–221 (Oxford Univ. Press, 2017).

Nature. Screen time: How much is too much? Nature 565, 265–266 (2019).

Guidelines on Physical Activity, Sedentary Behaviour and Sleep for Children under 5 years of Age (World Health Organization, 2019).

Physical Activity and Exercise Guidelines for all Australians (Australian Government, 2021).

Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep (Canadian Society for Exercise Physiology, 2016).

Council on Communications and Media. Media use in school-aged children and adolescents. Pediatrics 138, e20162592 (2016).

Ferguson, C. J. Everything in moderation: moderate use of screens unassociated with child behavior problems. Psychiatr. Q. 88, 797–805 (2017).

Przybylski, A. K. & Weinstein, N. A large-scale test of the Goldilocks hypothesis: quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychol. Sci. 28, 204–215 (2017).

Sanders, T., Parker, P. D., del Pozo-Cruz, B., Noetel, M. & Lonsdale, C. Type of screen time moderates effects on outcomes in 4013 children: evidence from the Longitudinal Study of Australian Children. Int. J. Behav. Nutr. Phys. Act. 16, 117 (2019).

Article  PubMed  PubMed Central  Google Scholar 

Kaye, L. K., Orben, A., Ellis, D. A., Hunter, S. C. & Houghton, S. The conceptual and methodological mayhem of ‘screen time’. Int. J. Environ. Res. Public Health 17, 3661 (2020).

Chassiakos, Y. L. R. et al. Children and adolescents and digital media. Pediatrics 138, e20162593 (2016).

Stiglic, N. & Viner, R. M. Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews. BMJ Open 9, e023191 (2019).

Article  PubMed  PubMed Central  Google Scholar 

Valkenburg, P. M., Meier, A. & Beyens, I. Social media use and its impact on adolescent mental health: an umbrella review of the evidence. Curr. Opin. Psychol. 44, 58–68 (2022).

Arias-de la Torre, J. et al. Relationship between depression and the use of mobile technologies and social media among adolescents: umbrella review. J. Med. Internet Res. 22, e16388 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Orben, A. Teenagers, screens and social media: a narrative review of reviews and key studies. Soc. Psychiatry and Psychiatr. Epidemiol. 55, 407–414 (2020).

Pollock, M., Fernandes, R., Becker, L., Pieper, D. & Hartling, L. in Cochrane Handbook for Systematic Reviews of Interventions (eds Higgins, J. P. et al.) Ch. 4 (Cochrane, 2022).

Öztop, F. & Nayci, Ö. Does the digital generation comprehend better from the screen or from the paper?: a meta-analysis. Int. Online J. Educ. Teach. 8, 1206–1224 (2021).

Abrami, P., Borohkovski, E. & Lysenko, L. The effects of ABRACADABRA on reading outcomes: a meta-analysis of applied field research. J. Interact. Learn. Res. 26, 337–367 (2015).

Abrami, P. C., Lysenko, L. & Borokhovski, E. The effects of ABRACADABRA on reading outcomes: an updated meta-analysis and landscape review of applied field research. J. Comput. Assist. Learn. 36, 260–279 (2020).

Adelantado-Renau, M. et al. Association between screen media use and academic performance among children and adolescents: a systematic review and meta-analysis. JAMA Pediatr. 173, 1058 (2019).

Article  PubMed  PubMed Central  Google Scholar 

Aghasi, M., Matinfar, A., Golzarand, M., Salari-Moghaddam, A. & Ebrahimpour-Koujan, S. Internet use in relation to overweight and obesity: a systematic review and meta-analysis of cross-sectional studies. Adv. Nutr. 11, 349–356 (2019).

Article  PubMed Central  Google Scholar 

Alimoradi, Z. et al. Internet addiction and sleep problems: a systematic review and meta-analysis. Sleep Med. Rev. 47, 51–61 (2019).

Allen, M. S., Walter, E. E. & Swann, C. Sedentary behaviour and risk of anxiety: a systematic review and meta-analysis. J. Affect. Disord. 242, 5–13 (2019).

Ameryoun, A., Sanaeinasab, H., Saffari, M. & Koenig, H. G. Impact of game-based health promotion programs on body mass index in overweight/obese children and adolescents: a systematic review and meta-analysis of randomized controlled trials. Child. Obes. 14, 67–80 (2018).

Anderson, C. A. et al. Violent video game effects on aggression, empathy, and prosocial behavior in Eastern and Western countries: a meta-analytic review. Psychol. Bull. 136, 151–173 (2010).

Andrade, A., Correia, C. K. & Coimbra, D. R. The psychological effects of exergames for children and adolescents with obesity: a systematic review and meta-analysis. Cyberpsychol. Behav. Soc. Netw. 22, 724–735 (2019).

Arztmann, M., Hornstra, L., Jeuring, J. & Kester, L. Effects of games in STEM education: a meta-analysis on the moderating role of student background characteristics. Stud. Sci. Educ. 59, 109–145 (2022).

Aspiranti, K. B., Larwin, K. H. & Schade, B. P. iPads/tablets and students with autism: a meta-analysis of academic effects. Assist. Technol. 32, 23–30 (2020).

Baradaran Mahdavi, S., Riahi, R., Vahdatpour, B. & Kelishadi, R. Association between sedentary behavior and low back pain; a systematic review and meta-analysis. Health Promot. Perspect. 11, 393–410 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Barnett, A., Cerin, E. & Baranowski, T. Active video games for youth: a systematic review. J. Phys. Activ. Health 8, 724–737 (2011).

Bartel, K. A., Gradisar, M. & Williamson, P. Protective and risk factors for adolescent sleep: a meta-analytic review. Sleep Med. Rev. 21, 72–85 (2015).

Baumann, H., Fiedler, J., Wunsch, K., Woll, A. & Wollesen, B. mHealth interventions to reduce physical inactivity and sedentary behavior in children and adolescents: systematic review and meta-analysis of randomized controlled trials. JMIR mHealth uHealth 10, e35920 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Bayraktar, S. A meta-analysis of the effectiveness of computer-assisted instruction in science education. J. Res. Technol. Educ. 34, 173–188 (2001).

Beck Silva, K. B., Miranda Pereira, E., Santana, M. L. P., de Costa, P. R. F. & Silva, R. D. C. R. Effects of computer-based interventions on food consumption and anthropometric parameters of adolescents: a systematic review and metanalysis. Crit. Rev. Food Sci. Nutr. https://doi.org/10.1080/10408398.2022.2118227 (2022).

Benavides-Varela, S. et al. Effectiveness of digital-based interventions for children with mathematical learning difficulties: a meta-analysis. Comput. Educ. 157, 103953 (2020).

Beneria, A. et al. Online interventions for cannabis use among adolescents and young adults: systematic review and meta-analysis. Early Interv. Psychiatry 16, 821–844 (2022).

Blok, H., Oostdam, R., Otter, M. E. & Overmaat, M. Computer-assisted instruction in support of beginning reading instruction: a review. Rev. Educ. Res. 72, 101–130 (2002).

Bochner, R. E., Sorensen, K. M. & Belamarich, P. F. The impact of active video gaming on weight in youth: a meta-analysis. Clin. Pediatr. 54, 620–628 (2015).

Bossen, D. et al. Effectiveness of serious games to increase physical activity in children with a chronic disease: systematic review with meta-snalysis. J. Med. Internet Res. 22, e14549 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Boyland, E. J. et al. Advertising as a cue to consume: a systematic review and meta-analysis of the effects of acute exposure to unhealthy food and nonalcoholic beverage advertising on intake in children and adults. Am. J. Clin. Nutr. 103, 519–533 (2016).

Article  CAS  PubMed  Google Scholar 

Boyland, E. et al. Association of food and nonalcoholic beverage marketing with children and adolescents’ eating behaviors and health: a systematic review and meta-analysis. JAMA Pediatr. 176, e221037 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Burkhardt, J. & Lenhard, W. A meta-analysis on the longitudinal, age-dependent effects of violent video games on aggression. Media Psychol. 25, 499–512 (2022).

Byun, J. & Joung, E. Digital game-based learning for K-12 mathematics education: a meta-analysis. Sch. Sci. Math. 118, 113–126 (2018).

Cai, Y., Pan, Z. & Liu, M. Augmented reality technology in language learning: a meta-analysis. J. Comput. Assist. Learn. 38, 929–945 (2022).

Cao, Y., Huang, T., Huang, J., Xie, X. & Wang, Y. Effects and moderators of computer-based training on children’s executive fnctions: a systematic review and meta-analysis. Front. Psychol. 11, 580329 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Cao, X. et al. Risk of accidents or chronic disorders from improper use of mobile phones: a systematic review and meta-analysis. J. Med. Internet Res. 24, e21313 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Carter, B., Rees, P., Hale, L., Bhattacharjee, D. & Paradkar, M. S. Association between portable screen-based media device access or use and sleep outcomes: a systematic review and meta-analysis. JAMA Pediatr. 170, 1202 (2016).

Article  PubMed  PubMed Central  Google Scholar 

Casale, S. et al. A meta-analysis on the association between self-esteem and problematic smartphone use. Comput. Hum. Behav. 134, 107302 (2022).

Champion, K. E. et al. Effectiveness of school-based eHealth interventions to prevent multiple lifestyle risk behaviours among adolescents: a systematic review and meta-analysis. Lancet Digit. Health 1, e206–e221 (2019).

Chan, K. K. & Leung, S. W. Dynamic geometry software improves mathematical achievement: systematic review and meta-analysis. J. Educ. Comput. Res. 51, 311–325 (2014).

Chan, G. et al. The impact of eSports and online video gaming on lifestyle behaviours in youth: a systematic review. Comput. Hum. Behav. 126, 106974 (2022).

Chauhan, S. A meta-analysis of the impact of technology on learning effectiveness of elementary students. Comput. Educ. 105, 14–30 (2017).

Chen, L., Ho, S. S. & Lwin, M. O. A meta-analysis of factors predicting cyberbullying perpetration and victimization: from the social cognitive and media effects approach. N. Media Soc. 19, 1194–1213 (2017).

Chen, C.-H., Shih, C.-C. & Law, V. The effects of competition in digital game-based learning (DGBL): a meta-analysis. Educ. Technol. Res. Dev. 68, 1855–1873 (2020).

Cheung, A. C. K. & Slavin, R. E. How features of educational technology applications affect student reading outcomes: a meta-analysis. Educ. Res. Rev. 7, 198–215 (2012).

Cheung, A. C. K. & Slavin, R. E. The effectiveness of educational technology applications for enhancing mathematics achievement in K-12 classrooms: a meta-analysis. Educ. Res. Rev. 9, 88–113 (2013).

Cheung, A. C. K. & Slavin, R. E. Effects of educational technology applications on reading outcomes for struggling readers: a best-evidence synthesis. Read. Res. Q. 48, 277–299 (2013).

Cho, K., Lee, S., Joo, M.-H. & Becker, B. The effects of using mobile devices on student achievement in language learning: a meta-analysis. Educ. Sci. 8, 105 (2018).

Chodura, S., Kuhn, J.-T. & Holling, H. Interventions for children with mathematical difficulties: a meta-analysis. Z. für Psychol. 223, 129–144 (2015).

Claussen, A. H. et al. All in the family? A systematic review and meta-analysis of parenting and family environment as risk factors for attention-deficit/hyperactivity disorder (ADHD) in children. Prev. Sci. https://doi.org/10.1007/s11121-022-01358-4 (2022).

Clinton, V. Reading from paper compared to screens: a systematic review and meta-analysis. J. Res. Read. 42, 288–325 (2019).

Comeras-Chueca, C. et al. The effects of active video games on health-related physical fitness and motor competence in children and adolescents with healthy weight: a systematic review and meta-analysis. Int. J. Environ. Res. Public Health 18, 6965 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Comeras-Chueca, C. et al. Effects of active video games on health-related physical fitness and motor competence in children and adolescents with overweight or obesity: systematic review and meta-analysis. JMIR Serious Games 9, e29981 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Cox, R., Skouteris, H., Rutherford, L. & Fuller-Tyszkiewicz, M. The association between television viewing and preschool child body mass index: a systematic review of English papers published from 1995 to 2010. J. Child. Media 6, 198–220 (2012).

Coyne, S. M. et al. A meta-analysis of prosocial media on prosocial behavior, aggression, and empathic concern: a multidimensional approach. Dev. Psychol. 54, 331–347 (2018).

Cunningham, S., Hudson, C. C. & Harkness, K. Social media and depression symptoms: a meta-analysis. Res. Child Adolesc. Psychopathol. 49, 241–253 (2021).

Cushing, C. C. & Steele, R. G. A meta-analytic review of eHealth interventions for pediatric health promoting and maintaining behaviors. J. Pediatr. Psychol. 35, 937–949 (2010).

Darling, K. E. & Sato, A. F. Systematic review and meta-analysis examining the effectiveness of mobile health technologies in using self-monitoring for pediatric weight management. Child. Obes. 13, 347–355 (2017).

Davey, S. & Davey, A. Assessment of smartphone addiction in Indian adolescents: a mixed method study by systematic-review and meta-analysis approach. Int. J. Prev. Med. 5, 1500–1511 (2014).

PubMed  PubMed Central  Google Scholar 

David, O. A., Costescu, C., Cardos, R. & Mogoaşe, C. How effective are serious games for promoting mental health and health behavioral change in children and adolescents? A systematic review and meta-analysis. Child Youth Care Forum 49, 817–838 (2020).

Oliveira, R. G. D. & Guedes, D. P. Physical activity, sedentary behavior, cardiorespiratory fitness and metabolic syndrome in adolescents: systematic review and meta-analysis of observational evidence. PLoS ONE 11, e0168503 (2016).

Article  PubMed  PubMed Central  Google Scholar 

de Ribera, O. S., Trajtenberg, N., Shenderovich, Y. & Murray, J. Correlates of youth violence in low- and middle-income countries: a meta-analysis. Aggress. Violent Behav. 49, 101306 (2019).

Di, X. & Zheng, X. A meta-analysis of the impact of virtual technologies on students’ spatial ability. Educ. Technol. Res. Dev. 70, 73–98 (2022).

Eirich, R. et al. Association of screen time with internalizing and externalizing behavior problems in children 12 years or younger: a systematic review and meta-analysis. JAMA Psychiatr. 79, 393 (2022).

Erçelik, Z. E. & Çağlar, S. Effectiveness of active video games in overweight and obese adolescents: a systematic review and meta-analysis of randomized controlled trials. Ann. Pediatr. Endocrinol. Metab. 27, 98–104 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Fang, K., Mu, M., Liu, K. & He, Y. Screen time and childhood overweight/obesity: a systematic review and meta-analysis. Child Care Health Dev. 45, 744–753 (2019).

Fedele, D. A., Cushing, C. C., Fritz, A., Amaro, C. M. & Ortega, A. Mobile health interventions for improving health outcomes in youth: a meta-analysis. JAMA Pediatr. 171, 461 (2017).

Article  PubMed  PubMed Central  Google Scholar 

Feng, J., Zheng, C., Sit, C. H.-P., Reilly, J. J. & Huang, W. Y. Associations between meeting 24-hour movement guidelines and health in the early years: a systematic review and meta-analysis. J. Sports Sci. 39, 2545–2557 (2021).

Ferguson, C. J. & Kilburn, J. The public health risks of media violence: a meta-analytic review. J. Pediatr. 154, 759–763 (2009).

Ferguson, C. J. Do angry birds make for angry children? A meta-analysis of video game influences on children’s and adolescents’ aggression, mental health, prosocial behavior, and academic performance. Perspect. Psychol. Sci. 10, 646–666 (2015).

Ferguson, C. J., Nielsen, R. K. L. & Markey, P. M. Does sexy media promote teen sex? A meta-analytic and methodological review. Psychiatr. Q. 88, 349–358 (2017).

Ferguson, C. J. 13 Reasons why not: a methodological and meta-analytic review of evidence regarding suicide contagion by fictional media. Suicide Life-Threat. Behav. 49, 1178–1186 (2019).

Ferguson, C. J., Copenhaver, A. & Markey, P. Reexamining the findings of the American Psychological Association’s 2015 Task Force on Violent Media: a meta-analysis. Persp. Psychol. Sci. 15, 1423–1443 (2020).

Ferguson, C. J. et al. Like this meta-analysis: screen media and mental health. Prof. Psychol. Res. Pr. 53, 205–214 (2022).

Fischer, P., Greitemeyer, T., Kastenmüller, A., Vogrincic, C. & Sauer, A. The effects of risk-glorifying media exposure on risk-positive cognitions, emotions, and behaviors: a meta-analytic review. Psychol. Bull. 137, 367–390 (2011).

Folkvord, F. & van ‘t Riet, J. The persuasive effect of advergames promoting unhealthy foods among children: a meta-analysis. Appetite 129, 245–251 (2018).

Foreman, J. et al. Association between digital smart device use and myopia: a systematic review and meta-analysis. Lancet Digit. Health 3, e806–e818 (2021).

Article  CAS  PubMed  Google Scholar 

Fowler, L. A. et al. Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications. Int. J. Obes. 45, 957–981 (2021).

Furenes, M. I., Kucirkova, N. & Bus, A. G. A comparison of children’s reading on paper versus screen: a meta-analysis. Rev. Educ. Res. 91, 483–517 (2021).

Gao, Z., Chen, S., Pasco, D. & Pope, Z. A meta-analysis of active video games on health outcomes among children and adolescents: a meta-analysis of active video games. Obes. Rev. 16, 783–794 (2015).

Article  CAS  PubMed  Google Scholar 

Gardella, J. H., Fisher, B. W. & Teurbe-Tolon, A. R. A systematic review and meta-analysis of cyber-victimization and educational outcomes for adolescents. Rev. Educ. Res. 87, 283–308 (2017).

Garzón, J., Pavón, J. & Baldiris, S. Systematic review and meta-analysis of augmented reality in educational settings. Virtual Real. 23, 447–459 (2019).

Garzón, J. & Acevedo, J. Meta-analysis of the impact of augmented reality on students’ learning gains. Educ. Res. Rev. 27, 244–260 (2019).

Ghobadi, S. et al. Association of eating while television viewing and overweight/obesity among children and adolescents: a systematic review and meta-analysis of observational studies: television viewing, overweight, obesity, children. Obes. Rev. 19, 313–320 (2018).

Article  CAS  PubMed  Google Scholar 

Grabe, S., Ward, L. M. & Hyde, J. S. The role of the media in body image concerns among women: a meta-analysis of experimental and correlational studies. Psychol. Bull. 134, 460–476 (2008).

Graham, S., Hebert, M. & Harris, K. R. Formative assessment and writing: a meta-analysis. Elem. Sch. J. 115, 523–547 (2015).

Haghjoo, P., Siri, G., Soleimani, E., Farhangi, M. A. & Alesaeidi, S. Screen time increases overweight and obesity risk among adolescents: a systematic review and dose-response meta-analysis. BMC Prim. Care 23, 161 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Hammersley, M. L., Jones, R. A. & Okely, A. D. Parent-focused childhood and adolescent overweight and obesity eHealth interventions: a systematic review and meta-analysis. J. Med. Internet Res. 18, e203 (2016).

Article  PubMed  PubMed Central  Google Scholar 

Hao, T., Wang, Z. & Ardasheva, Y. Technology-assisted vocabulary learning for EFL learners: a meta-analysis. J. Res. Educ. Eff. 14, 645–667 (2021).

Mahdi, H. S. & Al Khateeb, A. A. The effectiveness of computer-assisted pronunciation training: a meta-analysis. Rev. Educ. 7, 733–753 (2019).

He, Z. et al. Effects of smartphone-based interventions on physical activity in children and adolescents: systematic review and meta-analysis. JMIR mHealth uHealth 9, e22601 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Hernández-Jiménez, C. et al. Impact of active video games on body mass index in children and adolescents: systematic review and meta-analysis evaluating the quality of primary studies. Int. J. Environ. Res. Public Health 16, 2424 (2019).

Article  PubMed  PubMed Central  Google Scholar 

Ho, R. S.-T., Chan, E. K.-Y., Liu, K. K.-Y. & Wong, S. H.-S. Active video game on children and adolescents’ physical activity and weight management: a network meta-analysis. Scand. J. Med. Sci. Sports 32, 1268–1286 (2022).

Huang, Q., Peng, W. & Ahn, S. When media become the mirror: a meta-analysis on media and body image. Media Psychol. 24, 437–489 (2021).

Hurwitz, L. B. Getting a read on ready to learn media: a meta-analytic review of effects on literacy. Child Dev. 90, 1754–1771 (2019).

Kristensen, J. H., Pallesen, S., King, D. L., Hysing, M. & Erevik, E. K. Problematic gaming and sleep: a systematic review and meta-analysis. Front. Psychiatry 12, 675237 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Ivie, E. J., Pettitt, A., Moses, L. J. & Allen, N. B. A meta-analysis of the association between adolescent social media use and depressive symptoms. J. Aff. Disord. 275, 165–174 (2020).

Janssen, X. et al. Associations of screen time, sedentary time and physical activity with sleep in under 5s: a systematic review and meta-analysis. Sleep Med. Rev. 49, 101226 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Kates, A. W., Wu, H. & Coryn, C. L. S. The effects of mobile phone use on academic performance: a meta-analysis. Comput. Educ. 127, 107–112 (2018).

Kim, J., Gilbert, J., Yu, Q. & Gale, C. Measures matter: a meta-analysis of the effects of educational apps on preschool to grade 3 children’s literacy and math skills. AERA Open 7, 233285842110041 (2021).

Kong, Y., Seo, Y. S. & Zhai, L. Comparison of reading performance on screen and on paper: a meta-analysis. Comput. Educ. 123, 138–149 (2018).

Kroesbergen, E. H. & Van Luit, J. E. H. Mathematics interventions for children with special educational needs: a meta-Analysis. Remedial Spec. Educ. 24, 97–114 (2003).

Küçükalkan, K., Beyazsaçli, M. & Öz, A. Ş. Examination of the effects of computer-based mathematics instruction methods in children with mathematical learning difficulties: a meta-analysis. Behav. Inf. Technol. 38, 913–923 (2019).

Lamb, R. L., Annetta, L., Firestone, J. & Etopio, E. A meta-analysis with examination of moderators of student cognition, affect, and learning outcomes while using serious educational games, serious games, and simulations. Comput. Hum. Behav. 80, 158–167 (2018).

Lanca, C. & Saw, S.-M. The association between digital screen time and myopia: a systematic review. Ophthalmic and Physiol. Opt. 40, 216–229 (2020).

Larwin, K. H. & Aspiranti, K. B. Measuring the academic outcomes of iPads for students with autism: a meta-analysis. Rev. J. Autism Dev. Disord. 6, 233–241 (2019).

Lee, J., Piao, M., Byun, A. & Kim, J. A systematic review and meta-analysis of intervention for pediatric obesity using mobile technology. Nurs. Inform. 225, 491–494 (2016).

Li, Q. & Ma, X. A meta-analysis of the effects of computer technology on school students’ mathematics learning. Educ. Psychol. Rev. 22, 215–243 (2010).

Li, C., Cheng, G., Sha, T., Cheng, W. & Yan, Y. The relationships between screen use and health indicators among infants, toddlers, and preschoolers: a meta-analysis and systematic review. Int. J. Environ. Res. Public Health 17, 7324 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Li, S., Song, Y., Cai, Z. & Zhang, Q. Are active video games useful in the development of gross motor skills among non-typically developing children? A meta-analysis. BMC Sports Sci. Med. Rehabilitation 14, 140 (2022).

Li, F., Wang, X., He, X., Cheng, L. & Wang, Y. The effectiveness of unplugged activities and programming exercises in computational thinking education: a meta-analysis. Educ. Inf. Technol. 27, 7993–8013 (2022).

Liao, Y.-K. Effects of computer-assisted instruction on cognitive outcomes: a meta-analysis. J. Res. Comput. Educ. 24, 367–80 (1992).

Liao, Y.-K. C., Chang, H.-W. & Chen, Y.-W. Effects of computer application on elementary Schook student’s achievement: a meta-analysis of students in Taiwan. Comput. Sch. 24, 43–64 (2007).

Liao, Y., Liao, J., Durand, C. P. & Dunton, G. F. Which type of sedentary behaviour intervention is more effective at reducing body mass index in children? A meta-analytic review: sedentary behaviour intervention effects. Obes. Rev. 15, 159–168 (2014).

Article  CAS  PubMed  Google Scholar 

Liu, M., Wu, L. & Yao, S. Dose–response association of screen time-based sedentary behaviour in children and adolescents and depression: a meta-analysis of observational studies. Br. J. Sports Med. 50, 1252–1258 (2016).

Liu, D. & Baumeister, R. F. Social networking online and personality of self-worth: a meta-analysis. J. Res. Pers. 64, 79–89 (2016).

Liu, D., Ainsworth, S. E. & Baumeister, R. F. A meta-analysis of social networking online and social capital. Rev. Gen. Psychol. 20, 369–391 (2016).

Liu, D., Baumeister, R. F., Yang, C.-C. & Hu, B. Digital communication media use and psychological well-being: a meta-analysis. J. Comput.-Med. Commun. 24, 259–273 (2019).

Liu, M., Pang, W., Guo, J. & Zhang, Y. A meta-analysis of the effect of multimedia technology on creative performance. Educ. Inf. Technol. 27, 8603–8630 (2022).

Liu, M. et al. Time spent on social media and risk of depression in adolescents: a dose–response meta-analysis. Int. J. Environ. Res. Public Health 19, 5164 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Lu, G.-L. et al. The correlation between mobile phone addiction and coping style among Chinese adolescents: a meta-analysis. Child Adolesc. Psychiatry Ment. Health 15, 60 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Luckner, H., Moss, J. R. & Gericke, C. A. Effectiveness of interventions to promote healthy weight in general populations of children and adults: a meta-analysis. Eur. J. Public Health 22, 491–497 (2012).

Luo, Y. et al. Is increased video game participation associated with reduced sense of loneliness? A systematic review and meta-snalysis. Front. Public Health 10, 898338 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Madigan, S., McArthur, B. A., Anhorn, C., Eirich, R. & Christakis, D. A. Associations between screen use and child language skills: a systematic review and meta-analysis. JAMA Pediatr. 174, 665 (2020).

Major, L., Francis, G. A. & Tsapali, M. The effectiveness of technology-supported personalised learning in low- and middle-income countries: a meta-analysis. Br. J. Educ. Technol. 52, 1935–1964 (2021).

Mallawaarachchi, S. R., Anglim, J., Hooley, M. & Horwood, S. Associations of smartphone and tablet use in early childhood with psychosocial, cognitive and sleep factors: a systematic review and meta-analysis. Early Child. Res. Q. 60, 13–33 (2022).

Marciano, L., Schulz, P. J. & Camerini, A.-L. Cyberbullying perpetration and victimization in youth: a meta-analysis of longitudinal studies. J. Comput.-Med. Commun. 25, 163–181 (2020).

Marciano, L., Ostroumova, M., Schulz, P. J. & Camerini, A.-L. Digital media use and adolescents’ mental health during the Covid-19 pandemic: a systematic review and meta-analysis. Front. Public Health 9, 793868 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Mares, M.-L. & Woodard, E. Positive effects of television on children’s social interactions: a meta-analysis. Media Psychol. 7, 301–322 (2005).

Mares, M.-L. & Pan, Z. Effects of Sesame Street: a meta-analysis of children’s learning in 15 countries. J. Appl. Dev. Psychol. 34, 140–151 (2013).

Marino, C., Gini, G., Vieno, A. & Spada, M. M. The associations between problematic Facebook use, psychological distress and well-being among adolescents and young adults: a systematic review and meta-analysis. J. Aff. Disord. 226, 274–281 (2018).

Marker, C., Gnambs, T. & Appel, M. Exploring the myth of the chubby gamer: a meta-analysis on sedentary video gaming and body mass. Soc. Sci. Med. 301, 112325 (2022).

Marshall, S. J., Biddle, S. J. H., Gorely, T., Cameron, N. & Murdey, I. Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis. Int. J. Obes. 28, 1238–1246 (2004).

Martins, N. & Weaver, A. The role of media exposure on relational aggression: a meta-analysis. Aggress. Violent Behav. 47, 90–99 (2019).

Martins, N. C. et al. Influence of eating with distractors on caloric intake of children and adolescents: a systematic review and meta-analysis of interventional controlled studies. Criti. Rev. Food Sci. Nutr. https://doi.org/10.1080/10408398.2022.2055525 (2022).

Mazeas, A., Duclos, M., Pereira, B. & Chalabaev, A. Evaluating the effectiveness of gamification on physical activity: systematic review and meta-analysis of randomized controlled trials. J. Med. Internet Res. 24, e26779 (2022).

Article  PubMed  PubMed Central  Google Scholar 

McArthur, G. et al. Phonics training for English-speaking poor readers. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.CD009115.pub2 (2012).

McArthur, G. et al. Phonics training for English-speaking poor readers. Cochrane Database of Systematic Reviews https://doi.org/10.1002/14651858.CD009115.pub3 (2018).

Mei, X. et al. Sleep problems in excessive technology use among adolescent: a systemic review and meta-analysis. Sleep Sci. Pract. 2, 9 (2018).

Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W. & Davis, T. J. Effectiveness of virtual reality-based instruction on students’ learning outcomes in K-12 and higher education: a meta-analysis. Comput. Educ. 70, 29–40 (2014).

Moran, J., Ferdig, R. E., Pearson, P. D., Wardrop, J. & Blomeyer, R. L. Technology and reading performance in the middle-school grades: a meta-analysis with recommendations for policy and practice. J. Lit. Res. 40, 6–58 (2008).

Mori, C., Temple, J. R., Browne, D. & Madigan, S. Association of sexting with sexual behaviors and mental health among adolescents: a systematic review and meta-analysis. JAMA Pediatr. 173, 770 (2019).

Article  PubMed  PubMed Central  Google Scholar 

Neitzel, A. J., Lake, C., Pellegrini, M. & Slavin, R. E. A synthesis of quantitative research on programs for struggling readers in elementary schools. Read. Res. Q. 57, 149–179 (2022).

Nesi, J. et al. Social media use and self-injurious thoughts and behaviors: a systematic review and meta-analysis. Clin. Psychol. Rev. 87, 102038 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Nikkelen, S. W. C., Valkenburg, P. M., Huizinga, M. & Bushman, B. J. Media use and ADHD-related behaviors in children and adolescents: a meta-analysis. Dev. Psychol. 50, 2228–2241 (2014).

Oh, C., Carducci, B., Vaivada, T. & Bhutta, Z. A. Digital interventions for universal health promotion in children and adolescents: a systematic review. Pediatrics 149, e2021053852H (2022).

Oldrati, V. et al. Effectiveness of computerized cognitive training programs (CCTP) with game-like features in children with or without neuropsychological disorders: a meta-analytic investigation. Neuropsychol. Rev. 30, 126–141 (2020).

Oliveira, C. B. et al. Effects of active video games on children and adolescents: a systematic review with meta-analysis. Scand. J. Med. Sci. Sports 30, 4–12 (2020).

Ozdemir, M., Sahin, C., Arcagok, S. & Demir, M. K. The effect of augmented reality applications in the learning process: a meta-analysis study. Eurasian J. Educ. Res. 18, 165–186 (2018).

Paik, H. & Comstock, G. The effects of television violence on antisocial behavior: a meta-analysis. Commun. Res. 21, 516–546 (1994).

Park, J., Park, M.-J. & Seo, Y.-G. Effectiveness of information and communication technology on obesity in childhood and adolescence: systematic review and meta-analysis. J. Med. Internet Res. 23, e29003 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Pearce, L. J. & Field, A. P. The impact of ‘scary’ TV and film on children’s internalizing emotions: a meta-analysis. Hum. Commun. Res. 42, 98–121 (2016).

Peng, W., Lin, J.-H. & Crouse, J. Is playing exergames really exercising? A meta-analysis of energy expenditure in active video games. Cyberpsychol. Behav. Social Netw. 14, 681–688 (2011).

Poorolajal , J. , Sahraei , F. , Mohamdadi , Y. , Doosti-Irani , A. & Moradi , L. Behavioral factors influencing childhood obesity: a systematic review and meta-analysis .Obes.Res.Clin.Pract.14, 109–118 (2020).

Powers, K. L., Brooks, P. J., Aldrich, N. J., Palladino, M. A. & Alfieri, L. Effects of video-game play on information processing: a meta-analytic investigation. Psychonom. Bull. Rev. 20, 1055–1079 (2013).

Prescott, A. T., Sargent, J. D. & Hull, J. G. Metaanalysis of the relationship between violent video game play and physical aggression over time. Proc. Natl Acad. Sci. USA 115, 9882–9888 (2018).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Prizant-Passal, S., Shechner, T. & Aderka, I. M. Social anxiety and internet use—a meta-analysis: What do we know? What are we missing? Comput. Hum. Behav. 62, 221–229 (2016).

Reynard, S., Dias, J., Mitic, M., Schrank, B. & Woodcock, K. A. Digital interventions for emotion regulation in children and early adolescents: systematic review and meta-analysis. JMIR Serious Games 10, e31456 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Rodriguez Rocha, N. P. & Kim, H. eHealth interventions for fruit and vegetable intake: a meta-analysis of effectiveness. Health Educ. Behav. 46, 947–959 (2019).

Russell, S. J., Croker, H. & Viner, R. M. The effect of screen advertising on children’s dietary intake: a systematic review and meta-analysis. Obes. Rev. 20, 554–568 (2019).

Ryan, A. W. Meta-analysis of achievement effects of microcomputer applications in elementary schools. Educ. Adm. Q. 27, 161–184 (1991).

Sadeghirad, B., Duhaney, T., Motaghipisheh, S., Campbell, N. R. C. & Johnston, B. C. Influence of unhealthy food and beverage marketing on children’s dietary intake and preference: a systematic review and meta-analysis of randomized trials. Obes. Rev. 17, 945–959 (2016).

Article  CAS  PubMed  Google Scholar 

Saiphoo, A. N., Dahoah Halevi, L. & Vahedi, Z. Social networking site use and self-esteem: a meta-analytic review. Pers. Individ. Differ. 153, 109639 (2020).

Scherer, R., Siddiq, F. & Sánchez Viveros, B. A meta-analysis of teaching and learning computer programming: effective instructional approaches and conditions. Comput. Hum. Behav. 109, 106349 (2020).

Scherer, R., Siddiq, F. & Sánchez Viveros, B. The cognitive benefits of learning computer programming: a meta-analysis of transfer effects. J. Educ. Psychol. 111, 764–792 (2019).

Schroeder, N. L., Adesope, O. O. & Gilbert, R. B. How effective are pedagogical agents for learning? A meta-Analytic review. J. Educ. Comput. Res. 49, 1–39 (2013).

Scionti, N., Cavallero, M., Zogmaister, C. & Marzocchi, G. M. Is cognitive training effective for improving executive functions in preschoolers? A systematic review and meta-analysis. Front. Psychol. 10, 2812 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Shahab, L. & McEwen, A. Online support for smoking cessation: a systematic review of the literature. Addiction 104, 1792–1804 (2009).

Shannon, H., Bush, K., Villeneuve, P. J., Hellemans, K. G. & Guimond, S. Problematic social media use in adolescents and young adults: systematic review and meta-analysis. JMIR Mental Health 9, e33450 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Shin, Y., Kim, S. K. & Lee, M. Mobile phone interventions to improve adolescents’ physical health: a systematic review and meta-analysis. Public Health Nurs. 36, 787–799 (2019).

Shin, M., Juventin, M., Wai Chu, J. T., Manor, Y. & Kemps, E. Online media consumption and depression in young people: a systematic review and meta-analysis. Comput. Hum. Behav. 128, 107129 (2022).

Slavin, R. E. Reading effects of IBM’s “Writing to Read” program: a review of evaluations. Educ. Eval. Policy Anal. 13, 1 (1991).

Slavin, R. E. & Lake, C. Effective programs in elementary mathematics: a best-evidence synthesis. Rev. Educ. Res. 78, 427–515 (2008).

Slavin, R. E., Lake, C. & Groff, C. Effective programs in middle and high school mathematics: a best-evidence synthesis. Rev. Educ. Res. 79, 839–911 (2009).

Slavin, R. E., Lake, C., Hanley, P. & Thurston, A. Experimental evaluations of elementary science programs: a best-evidence synthesis. J. Res. Sci. Teach. 51, 870–901 (2014).

Soo Jung, K. & Yan Ping, X. A synthesis of computer-assisted mathematical word problem-solving instruction for students with learning disabilities or difficulties. Learn. Disabil. Contemp. J. 20, 27–45 (2022).

Stavrinos, D., Pope, C. N., Shen, J. & Schwebel, D. C. Distracted walking, bicycling, and driving: systematic review and meta-analysis of mobile technology and youth crash risk. Child Dev. 89, 118–128 (2018).

Steele, J. L., Bozick, R. & Davis, L. M. Education for incarcerated juveniles: a meta-analysis. J. Educ. Stud. Placed Risk 21, 65–89 (2016).

Strong, G. K., Torgerson, C. J., Torgerson, D. & Hulme, C. A systematic meta-analytic review of evidence for the effectiveness of the ‘Fast ForWord’ language intervention program. J. Child Psychol. Psychiatry 52, 224–235 (2011).

Article  PubMed  PubMed Central  Google Scholar 

Strouse, G. A. & Samson, J. E. Learning from video: a meta-analysis of the video deficit in children ages 0 to 6 years. Child Dev. 92, E20–E38 (2021).

Suleiman-Martos, N. et al. Gamification for the improvement of diet, nutritional habits, and body composition in children and adolescents: a systematic review and meta-analysis. Nutrients 13, 2478 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sun, L., Hu, L. & Zhou, D. Which way of design programming activities is more effective to promote K-12 students’ computational thinking skills? A meta-analysis. J. Comput. Assist. Learn. 37, 1048–1062 (2021).

Sung, Y.-T., Chang, K.-E. & Yang, J.-M. How effective are mobile devices for language learning? A meta-analysis. Educ. Res. Rev. 16, 68–84 (2015).

Takacs, Z. K., Swart, E. K. & Bus, A. G. Can the computer replace the adult for storybook reading? A meta-analysis on the effects of multimedia stories as compared to sharing print stories with an adult. Front. Psychol. 5, 1366 (2014).

Article  PubMed  PubMed Central  Google Scholar 

Takacs, Z. K., Swart, E. K. & Bus, A. G. Benefits and pitfalls of multimedia and interactive features in technology-enhanced storybooks: a meta-analysis. Rev. Educ. Res. 85, 698–739 (2015).

Article  PubMed  PubMed Central  Google Scholar 

Takacs, Z. K. & Kassai, R. The efficacy of different interventions to foster children’s executive function skills: a series of meta-analyses. Psychol. Bull. 145, 653–697 (2019).

Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C. & Schmid, R. F. What forty years of research says about the impact of technology on learning: a second-order meta-analysis and validation study. Rev. Educ. Res. 81, 4–28 (2011).

Tekedere, H. & Göke, H. Examining the effectiveness of augmented reality applications in education: a meta-analysis. Int. J. Environ. Sci. Educ. 11, 9469–9481 (2016).

Tingir, S., Cavlazoglu, B., Caliskan, O., Koklu, O. & Intepe-Tingir, S. Effects of mobile devices on K-12 students’ achievement: a meta-analysis: effects of mobile devices. J. Comput. Assist. Learn. 33, 355–369 (2017).

Tokac, U., Novak, E. & Thompson, C. G. Effects of game-based learning on students’ mathematics achievement: a meta-analysis. J. Comput. Assist. Learn. 35, 407–420 (2019).

Tokunaga, R. S. A meta-analysis of the relationships between psychosocial problems and internet habits: synthesizing internet addiction, problematic internet use, and deficient self-regulation research. Commun. Monogr. 84, 423–446 (2017).

Tremblay, M. S. et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 8, 98 (2011).

Article  PubMed  PubMed Central  Google Scholar 

Tsai, Y.-L. & Tsai, C.-C. Digital game-based second-language vocabulary learning and conditions of research designs: a meta-analysis study. Comput. Educ. 125, 345–357 (2018).

Vahedi, Z., Sibalis, A. & Sutherland, J. E. Are media literacy interventions effective at changing attitudes and intentions towards risky health behaviors in adolescents? A meta-analytic review. J. Adolesc. 67, 140–152 (2018).

Vahedi, Z. & Zannella, L. The association between self-reported depressive symptoms and the use of social networking sites (SNS): a meta-analysis. Curr. Psychol. 40, 2174–2189 (2021).

van ’t Riet, J., Crutzen, R. & Lu, A. S. How effective are active videogames among the young and the old? Adding meta-analyses to two recent systematic reviews. Games Health J. 3, 311–318 (2014).

Article  PubMed  PubMed Central  Google Scholar 

van Ekris, E. et al. An evidence-update on the prospective relationship between childhood sedentary behaviour and biomedical health indicators: a systematic review and meta-analysis. Obes. Rev. 17, 833–849 (2016).

van Grieken, A., Ezendam, N. P., Paulis, W. D., van der Wouden, J. C. & Raat, H. Primary prevention of overweight in children and adolescents: a meta-analysis of the effectiveness of interventions aiming to decrease sedentary behaviour. Int. J. Behav. Nutr. Phys. Act. 9, 61 (2012).

Article  PubMed  PubMed Central  Google Scholar 

Vannucci, A., Simpson, E. G., Gagnon, S. & Ohannessian, C. M. Social media use and risky behaviors in adolescents: a meta-analysis. J. Adolesc. 79, 258–274 (2020).

Villegas-Navas, V., Montero-Simo, M.-J. & Araque-Padilla, R. A. The effects of foods embedded in entertainment media on children’s food choices and food intake: a systematic review and meta-analyses. Nutrients 12, 964 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Wahi, G. Effectiveness of interventions aimed at reducing screen time in children: a systematic review and meta-analysis of randomized controlled trials. Arch. Pediatr. Adolesc. Med. 165, 979 (2011).

Wang, S., Jiao, H., Young, M. J., Brooks, T. & Olson, J. Comparability of computer-based and paper-and-pencil testing in K reading assessments: a meta-analysis of testing mode effects. Educ. Psychol. Meas. 68, 5–24 (2008).

Wang, J., Li, M., Zhu, D. & Cao, Y. Smartphone overuse and visual impairment in children and young adults: systematic review and meta-analysis. J. Med. Internet Res. 22, e21923 (2020).

Article  PubMed  PubMed Central  Google Scholar 

Wang, C.-P., Lan, Y.-J., Tseng, W.-T., Lin, Y.-T. R. & Gupta, K. C.-L. On the effects of 3D virtual worlds in language learning a meta-analysis. Comput. Assist. Lang. Learn. 33, 891–915 (2020).

Weng, P.-L., Maeda, Y. & Bouck, E. C. Effectiveness of cognitive skills-based computer-assisted instruction for students with disabilities: a synthesis. Remed. Spec. Educ. 35, 167–180 (2014).

Williams, P. A., Haertel, E. H., Haertel, G. D. & Walberg, H. J. The impact of leisure-time television on school learning: a research synthesis. Am. Educ. Res. J. 19, 19–50 (1982).

Wood, W., Wong, F. Y. & Chachere, J. G. Effects of media violence on viewers’ aggression in unconstrained social interaction. Psychol. Bull. 109, 371–383 (1991).

Article  CAS  PubMed  Google Scholar 

Wouters, P., van Nimwegen, C., van Oostendorp, H. & van der Spek, E. D. A meta-analysis of the cognitive and motivational effects of serious games. J. Educ. Psychol. 105, 249–265 (2013).

Wouters, P. & van Oostendorp, H. A meta-analytic review of the role of instructional support in game-based learning. Comput. Educ. 60, 412–425 (2013).

Wu, Y., Amirfakhraei, A., Ebrahimzadeh, F., Jahangiry, L. & Abbasalizad-Farhangi, M. Screen time and body mass index among children and adolescents: a systematic review and meta-analysis. Front. Pediatr. 10, 822108 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Xie, H. et al. Can touchscreen devices be used to facilitate young children’s learning? A meta-analysis of touchscreen learning effect. Front. Psychol. 9, 2580 (2018).

Article  PubMed  PubMed Central  Google Scholar 

Yang, Q., Liu, J. & Rui, J., Association between social network sites use and mental illness: a meta-analysis. Cyberpsychology https://doi.org/10.5817/CP2022-1-1 (2022).

Yin, X.-Q., de Vries, D. A., Gentile, D. A. & Wang, J.-L. Cultural background and measurement of usage moderate the association between social networking sites (SNSs) usage and mental health: a meta-analysis. Soc. Sci. Comput. Rev. 37, 631–648 (2019).

Yoon, S., Kleinman, M., Mertz, J. & Brannick, M. Is social network site usage related to depression? A meta-analysis of Facebook depression relations. J. Affect. Disord. 248, 65–72 (2019).

Zhang, G., Wu, L., Zhou, L., Lu, W. & Mao, C. Television watching and risk of childhood obesity: a meta-analysis. Eur. J. Public Health 26, 13–18 (2016).

Zhang, Y., Li, S. & Yu, G. The relationship between social media use and fear of missing out: a meta-analysis. Acta Psychol. Sinica 53, 273–290 (2021).

Zhang, J., Yang, S. X., Wang, L., Han, L. H. & Wu, X. Y. The influence of sedentary behaviour on mental health among children and adolescents: a systematic review and meta-analysis of longitudinal studies. J. Affect. Disord. 306, 90–114 (2022).

Zhang, Y., Tian, S., Zou, D., Zhang, H. & Pan, C.-W. Screen time and health issues in Chinese school-aged children and adolescents: a systematic review and meta-analysis. BMC Public Health 22, 810 (2022).

Article  PubMed  PubMed Central  Google Scholar 

Zhang, J. et al. An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder. J. Affect. Disord. 305, 94–101 (2022).

Zheng, B., Warschauer, M., Lin, C.-H. & Chang, C. Learning in one-to-one laptop environments: a meta-analysis and research synthesis. Rev. Educ. Res. 86, 1052–1084 (2016).

Zhou, C., Occa, A., Kim, S. & Morgan, S. A meta-analysis of narrative game-based interventions for promoting healthy behaviors. J. Health Commun. 25, 54–65 (2020).

Zou, Z., Xiang, J., Wang, H., Wen, Q. & Luo, X. Association of screen time-based sedentary behavior and the risk of depression in children and adolescents: dose–response meta-analysis. Arch. Clin. Psychiatry 48, 235–244 (2022).

Zucker, T. A., Moody, A. K. & McKenna, M. C. The effects of electronic books on pre-kindergarten-to-grade 5 students’ literacy and language outcomes: a research synthesis. J. Educ. Comput. Res. 40, 47–87 (2009).

Wells, G., Horwitz, J. & Seetharaman, D. Facebook knows Instagram is toxic for teen girls, company documents show. Wall Street Journal (2021).

Elson, M. et al. Do policy statements on media effects faithfully represent the science? Adv. Methods Pract. Psychol. Sci. 2, 12–25 (2019).

Ashton, J. J. & Beattie, R. M. Screen time in children and adolescents: is there evidence to guide parents and policy? Lancet Child Adolesc. Health 3, 292–294 (2019).

The Health Impacts of Screen Time: A Guide for Clinicians and Parents (Royal College of Paediatrics and Child Health, 2019).

Page, M. J. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Int. Surg. J. 88, 105906 (2021).

Parry, D. A. et al. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nat. Hum. Behav. 5, 1535–1547 (2021).

Byrne, R., Terranova, C. O. & Trost, S. G. Measurement of screen time among young children aged 0 years: a systematic review. Obes. Rev. 22, e13260 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Smith, C., Galland, B. C., de Bruin, W. E. & Taylor, R. W. Feasibility of automated cameras to measure screen use in adolescents. Am. J. Prev. Med. 57, 417–424 (2019).

Ryding, F. C. & Kuss, D. J. Passive objective measures in the assessment of problematic smartphone use: a systematic review. Addict. Behav. Rep. 11, 100257 (2020).

PubMed  PubMed Central  Google Scholar 

Guyatt, G. et al. GRADE guidelines: 1. Introduction GRADE evidence profiles and summary of findings tables. J. Clin. Epidemiol. 64, 383–394 (2011).

Twenge, J. M. More time on technology, less happiness? Associations between digital-media use and psychological well-being. Curr. Dir. Psychol. Sci. 28, 372–379 (2019).

Kelly, Y., Zilanawala, A., Booker, C. & Sacker, A. Social media use and adolescent mental health: findings from the UK millennium cohort study. eClinicalMedicine 6, 59–68 (2018).

Quality Assessment of Systematic Reviews and Meta-Analyses (National Health, Lung, and Blood Institute, 2014).

Bowman, N. A. Effect sizes and statistical methods for meta-analysis in higher education. Res. High. Educ. 53, 375–382 (2012).

Jacobs, P. & Viechtbauer, W. Estimation of the biserial correlation and its sampling variance for use in meta-analysis: biserial correlation. Res. Synth. Methods 8, 161–180 (2017).

Funder, D. C. & Ozer, D. J. Evaluating effect size in psychological research: sense and nonsense. Adv. Methods Pract. Psychol. Sci. 2, 156–168 (2019).

Gignac, G. E. & Szodorai, E. T. Effect size guidelines for individual differences researchers. Person. Indiv. Diff. 102, 74–78 (2016).

Viechtbauer, W. metafor: meta-analysis package for R. R package version 4.2-0 (2023).

The R Developmemt Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2023).

Egger, M., Smith, G. D., Schneider, M. & Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629–634 (1997).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Page, M. J., Higgins, J. P. & Sterne, J. A. in Cochrane Handbook for Systematic Reviews of Interventions (eds Higgins, J. P. et al.) Ch. 13 (Cochrane, 2021).

Ioannidis, J. P. & Trikalinos, T. A. An exploratory test for an excess of significant findings. Clin. Trials 4, 245–253 (2007).

Papadimitriou, N. et al. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nat. Commun. 12, 4579 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

The authors received no specific funding for this work.

Institute for Positive Psychology and Education, Australian Catholic University, North Sydney, New South Wales, Australia

Taren Sanders, Philip Parker, Nicole Weeks, Hugh Arnott, Roberta Vasconcellos, James Conigrave & Chris Lonsdale

School of Psychology, University of Queensland, Brisbane, Queensland, Australia

Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

Department of Physical Education, Faculty of Education, University of Cádiz, Cádiz, Spain

Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital, University of Cádiz, Cádiz, Spain

Centre for Health Research, University of Southern Queensland, Springfield, Queensland, Australia

Faculty of Sport and Health Scienchresholds for statistical credibilites, University of Jyväskylä, Jyväskylä, Finland

Department of Health Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, New South Wales, Australia

School of Kinesiology, Louisiana State University, Baton Rouge, LA, USA

The Centre for Social Impact, University of New South Wales, Sydney, New South Wales, Australia

The Health and Wellbeing Centre for Research Innovation, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia

Department of Movement and Sport Science, Ghent University, Ghent, Belgium

Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia

Jo Salmon & Kylie Hesketh

The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, New South Wales, Australia

School of Education, Australian Catholic University, North Sydney, New South Wales, Australia

Rebecca Pagano & Jamie Sherson

You can also search for this author in PubMed  Google Scholar

An umbrella review of the benefits and risks associated with youths’ interactions with electronic screens | Nature Human Behaviour

3d Projector Hologram Fan You can also search for this author in