Vuorre, M., Orben, A. & Przybylski, A. K. There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clin. Psychol. Sci. 9, 823–835 (2021).
Google Scholar
Haidt, J. The Anxious Generation: How the Great Rewiring of Childhood Is Causing an Epidemic of Mental Illness (Penguin Press, 2024).
Straker, L., Pollock, C. & Maslen, B. Principles for the development of digital interventions to improve the mental health and well-being of children and young people. J. Child. Serv. 13, 102–113 (2018).
Chong, S. C., Teo, W. Z. & Shorey, S. Exploring the perception of parents on children’s screentime: a systematic review and meta-synthesis of qualitative studies. Pediatr. Res. 94, 915–925 (2023).
Google Scholar
Livingstone, S. & Blum-Ross, A. Parenting for a Digital Future: How Hopes and Fears about Technology Shape Children’s Lives (Oxford Univ. Press, 2020).
Madigan, S., Eirich, R., Pador, P., McArthur, B. A. & Neville, R. D. Assessment of changes in child and adolescent screen time during the COVID-19 pandemic: a systematic review and meta-analysis. JAMA Pediatr. 176, 1188–1198 (2022).
Google Scholar
Tempi Digitali. Atlante dell’infanzia (a rischio) in Italia 2023 (Save the Children, 2023); https://s3-www.savethechildren.it/public/allegati/xiv-atlante-dellinfanzia-rischio-tempi-digitali.pdf
Antheunis, M. L., Schouten, A. P. & Krahmer, E. The role of social networking sites in early adolescents’ social lives. Comput. Hum. Behav. 63, 1–8 (2016).
Faverio, M. & Sidoti, O. Teens, Social Media and Technology 2024 (Pew Research Center, 2024); https://www.pewresearch.org/wp-content/uploads/sites/20/2024/12/PI_2024.12.12_Teens-Social-Media-Tech_REPORT.pdf
Cosma, A. et al. A Focus on Adolescent Mental Health and Well-Being in Europe, Central Asia and Canada. Health Behaviour in School-Aged Children International Report from the 2021/2022 Survey. Vol. 1 (WHO Regional Office for Europe, 2023).
Blanchflower, D. G., Bryson, A. & Xu, X. The declining mental health of the young and the global disappearance of the unhappiness hump shape in age. PLoS ONE 20, e0327858 (2025).
Google Scholar
Child, Adolescent and Youth Mental Health in the 21st Century (OECD, 2026); https://doi.org/10.1787/1092c3cb-en
PISA 2022 Results (Volume I): The State of Learning and Equity in Education (OECD, 2023); https://www.oecd.org/content/dam/oecd/en/publications/reports/2023/12/pisa-2022-results-volume-i_76772a36/53f23881-en.pdf
INVALSI – Istituto nazionale per la valutazione del sistema educativo di istruzione e di formazione Rapporto Nazionale 2024 (INVALSI, 2024); https://invalsi-areaprove.cineca.it/docs/2024/Rilevazioni_Nazionali/Rapporto/Rapporto%20Prove%20INVALSI%202024.pdf
Murthy, D. Social Media and Youth Mental Health. The U.S. Surgeon General’s Advisory (U.S. Department of Health and Human Services (HHS), Office of the Surgeon General, 2023); https://www.hhs.gov/sites/default/files/sg-youth-mental-health-social-media-advisory.pdf
Twenge, J. M., Martin, G. N. & Spitzberg, B. H. Trends in U.S. adolescents’ media use, 1976–2016: the rise of digital media, the decline of TV, and the (near) demise of print. Psychol. Pop. Media Cult. 8, 329–345 (2018).
Google Scholar
Orben, A., Przybylski, A. K., Blakemore, S. J. & Kievit, R. A. Windows of developmental sensitivity to social media. Nat. Commun. 13, 1649 (2022).
Google Scholar
Woods, A. & Scott, B. Exploring social media use in adolescents. J. Soc. Media Stud. 12, 45–62 (2016).
Twenge, J. M. & Campbell, W. K. Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Prev. Med. Rep. 12, 271–283 (2018).
Google Scholar
Brautsch, L. A. et al. Digital media use and sleep in late adolescence and young adulthood: a systematic review. Sleep Med. Rev. 68, 101742 (2023).
Google Scholar
Ndubisi, A., Agyapong-Opoku, F. & Agyapong, B. Social media use and sleep quality in adolescents and young adults: a scoping review of reviews. Children 13, 51 (2025).
Google Scholar
Cain, N. & Gradisar, M. Electronic media use and sleep in school-aged children and adolescents: a review. J. Clin. Psychol. Rev. 30, 755–764 (2010).
van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R. & Valkenburg, P. M. The consequences of media multitasking for youth: a review. Comput. Hum. Behav. 53, 204–215 (2015).
Google Scholar
Boer, M., Stevens, G. W. J. M., Finkenauer, C. & van den Eijnden, R. J. J. M. Social media use intensity, social media use problems, and mental health among adolescents: investigating directionality and underlying mechanisms. Comput. Hum. Behav. 116, 106645 (2020).
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. Affect. Disord. 275, 165–174 (2020).
Google Scholar
Twenge, J. M. iGen: Why Today’s Super-Connected Kids Are Growing Up Less Rebellious, More Tolerant, Less Happy – and Completely Unprepared for Adulthood – and What That Means for the Rest of Us (Simon and Schuster, 2017).
Valkenburg, P. M. Social media use and well-being: what we know and what we need to know. Curr. Opin. Psychol. 45, 101294 (2022).
Google Scholar
Orben, A. Teenagers, screens and social media: a narrative review of reviews and key studies. Soc. Psychiatry Psychiatr. Epidemiol. 55, 407–414 (2020).
Google Scholar
Odgers, C. L. & Jensen, M. R. Annual research review: adolescent mental health in the digital age: facts, fears, and future directions. J. Child Psychol. Psychiatry 61, 336–348 (2020).
Google Scholar
Orben, A. & Przybylski, A. K. The association between adolescent well-being and digital technology use. Nat. Hum. Behav. 3, 173–182 (2019).
Google Scholar
Haidt, J. Social media is a major cause of the mental illness epidemic in teen girls. Here’s the evidence. After Babel https://www.afterbabel.com/p/social-media-mental-illness-epidemic (2023).
Huang, C. Social network site use and academic achievement: a meta-analysis. Comput. Educ. 119, 76–83 (2018).
Google Scholar
Marker, C., Gnambs, T. & Appel, M. Active on Facebook and failing at school? Meta-analytic findings on the relationship between online social networking activities and academic achievement. Educ. Psychol. Rev. 30, 651–677 (2018).
Google Scholar
Doleck, T. & Lajoie, S. Social networking and academic performance: a review. Educ. Inf. Technol. 23, 435–465 (2018).
Google Scholar
Giunchiglia, F., Zeni, M., Gobbi, E., Bignotti, E. & Bison, I. Mobile social media usage and academic performance. Comput. Hum. Behav. 82, 177–185 (2018).
Google Scholar
Al-Menayes, J. The relationship between mobile social media use and academic performance in university students. New Media Mass Commun. 25, 23–29 (2014).
Barton, B. A., Adams, K. S., Browne, B. L. & Arrastia-Chisholm, M. C. The effects of social media usage on attention, motivation, and academic performance. Act. Learn. High. Educ. 22, 11–22 (2021).
Google Scholar
Sampasa-Kanyinga, H., Chaput, J. P. & Hamilton, H. A. Social media use, school connectedness, and academic performance among adolescents. J. Prim. Prev. 40, 189–211 (2019).
Google Scholar
Amez, S. & Baert, S. Smartphone use and academic performance: a literature review. Int. J. Educ. Res. 103, 101–112 (2020).
Google Scholar
Mansfield, K. L. et al. From social media to artificial intelligence: improving research on digital harms in youth. Lancet Child Adolesc. Health 9, 194–204 (2025).
Google Scholar
Shapiro, J. The New Childhood: Raising Kids to Thrive in a Digitally Connected World (Little, Brown Spark, 2019).
Moreno, M. A. & Radesky, J. Putting forward a new narrative for adolescent media: the American Academy of Pediatrics Center of Excellence on Social Media and Youth Mental Health. J. Adolesc. Health 73, 227–229 (2023).
Google Scholar
Gerosa, T., Losi, L. & Gui, M. The age of the smartphone: an analysis of social predictors of children’s age of access and potential consequences over time. Youth Soc. 56, 1117–1143 (2024).
Google Scholar
Gerosa, T. & Gui, M. Earlier smartphone acquisition negatively impacts language proficiency, but only for heavy media users. Results from a longitudinal quasi-experimental study. Soc. Sci. Res. 114, 102915 (2023).
Google Scholar
Dempsey, A., Falke, C., Skippington, T. & Ireland, M. Early smartphone acquisition and academic performance in adolescents: a longitudinal study. J. Adolesc. Health 65, 760–767 (2019).
Tang, S. & Patrick, M. E. Technology and interactive social media use among 8th and 10th graders in the US and associations with homework and school grades. Comput. Hum. Behav. 86, 34–44 (2018).
Google Scholar
Mrazek, A. J. et al. Teenagers’ smartphone use during homework: an analysis of beliefs and behaviors around digital multitasking. Educ. Sci. 11, 713 (2021).
Google Scholar
Hall, J. A., Johnson, R. M. & Ross, E. M. Where does the time go? An experimental test of what social media displaces and displaced activities’ associations with affective well-being and quality of day. New Media Soc. 21, 674–692 (2019).
Google Scholar
Shimoga, S. V., Erlyana, E. & Rebello, V. Associations of social media use with physical activity and sleep adequacy among adolescents: cross-sectional survey. J. Med. Internet Res. 21, e14290 (2019).
Google Scholar
Hershner, S. Sleep and academic performance: measuring the impact of sleep. Curr. Opin. Behav. Sci. 33, 51–56 (2020).
Google Scholar
Gomes, A. A., Tavares, J. & de Azevedo, M. H. P. Sleep and academic performance in undergraduates: a multi-measure, multi-predictor approach. Chronobiol. Int. 28, 786–801 (2011).
Google Scholar
Erwin, H., Fedewa, A., Beighle, A. & Ahn, S. A quantitative review of physical activity, health, and learning outcomes associated with classroom-based physical activity interventions. J. Appl. Sch. Psychol. 28, 14–36 (2012).
Google Scholar
McLeod, J. D., Uemura, R. & Rohrman, S. Adolescent mental health, behavior problems, and academic achievement. J. Health Soc. Behav. 53, 482–497 (2012).
Google Scholar
Suldo, S. M., Gormley, M. J., DuPaul, G. J. & Anderson-Butcher, D. The impact of school mental health on student and school-level academic outcomes: current status of the research and future directions. Sch. Ment. Health 6, 84–98 (2014).
Google Scholar
Koch, T. & Arendt, F. in The International Encyclopedia of Media Effects (eds Rössler, P. et al.) 1–11 (Wiley, 2017).
Pellai, A. & Tamborini, B. Vietato ai minori di 14 anni (De Agostini, 2021).
Bambini troppo digitali, troppo presto: ogni ora di schermo è un rischio per corpo e mente (SIP – Società Italiana di Pediatria, 2025); https://sip.it/wp-content/uploads/2025/11/comunicato-stampa_1.pdf
Zhang, D. & Livingstone, S. Inequalities in How Parents Support Their Children’s Development with Digital Technologies (LSE Department of Media and Communications, 2019).
Martinot, P. et al. Rapid emergence of a maths gender gap in first grade. Nature 643, 1020–1029 (2025).
Google Scholar
Amato, P. R., Patterson, S. & Beattie, B. Single-parent households and children’s educational achievement: a state-level analysis. Soc. Sci. Res. 53, 191–202 (2015).
Google Scholar
Liu, J., Peng, P., Zhao, B. & Luo, L. Socioeconomic status and academic achievement in primary and secondary education: a meta-analytic review. Educ. Psychol. Rev. 34, 2867–2896 (2022).
Google Scholar
Ghirardi, G., Baier, T., Kleinert, C. & Triventi, M. Unequal since the beginning? How childcare amongst under-threes affects early children’s cognitive and socio-emotional skills in Germany. Eur. Sociol. Rev. 39, 692–707 (2023).
Google Scholar
Azzolini, D. & Barone, C. Do they progress or do they lag behind? Educational attainment of immigrants’ children in Italy: the role played by generational status, country of origin and social class. Res. Soc. Stratif. Mobil. 31, 82–96 (2013).
Angrist, J. D. & Pischke, J. S. Mastering Metrics: The Path from Cause to Effect (Princeton Univ. Press, 2014).
Kraft, M. A. Interpreting effect sizes of education interventions. Educ. Res. 49, 241–253 (2020).
Google Scholar
Kraft, M. A. The effect-size benchmark that matters most: education interventions often fail. Educ. Res. 52, 183–187 (2023).
Google Scholar
Gavosto, A. & Romano, B. Dalla pandemia la scuola italiana esce a pezzi. Lavoce.info https://lavoce.info/archives/88665/dalla-pandemia-la-scuola-italiana-esce-a-pezzi/ (2021).
Nickow, A., Oreopoulos, P. & Quan, V. The Impressive Effects of Tutoring on PreK-12 Learning: A Systematic Review and Meta-Analysis of the Experimental Evidence NBER Working Paper 27476 (NBER, 2020); https://doi.org/10.3386/w27476
Rambachan, A. & Roth, J. A more credible approach to parallel trends. Rev. Econ. Stud. 90, 2555–2591 (2023).
Google Scholar
Liu, Y. & Gu, X. Media multitasking, attention, and comprehension: a deep investigation into fragmented reading. Educ. Technol. Res. Dev. 68, 67–87 (2020).
Google Scholar
McCrae, N., Gettings, S. & Purssell, E. Social media and depressive symptoms in childhood and adolescence: a systematic review. Adolesc. Res. Rev. 2, 315–330 (2017).
Gonzalez-DeHass, A. R., Willems, P. P., Powers, J. R. & Musgrove, A. T. Parental involvement in supporting students’ digital learning. Educ. Psychol. 57, 281–294 (2022).
Google Scholar
Wilcockson, T. D. W., Ellis, D. A. & Shaw, H. Determining typical smartphone usage: what data do we need? Cyberpsychol. Behav. Soc. Netw. 21, 395–398 (2018).
Google Scholar
Andrews, S., Ellis, D. A., Shaw, H. & Piwek, L. Beyond self-report: tools to compare estimated and real-world smartphone use. PLoS ONE 10, e0139004 (2015).
Google Scholar
Gerosa, T., Gui, M. & Büchi, M. Smartphone use and academic performance: a pervasiveness approach beyond addiction. Soc. Sci. Comput. Rev. 40, 1542–1561 (2022).
Google Scholar
Chakraborty, S., Gui, M., Gerosa, T. & Marciano, L. Testing the validity of the smartphone pervasiveness scale for adolescents with self-reported objective smartphone use data. Digit. Health 10, 1–10 (2024).
Gui, M., Gerosa, T., Argentin, G. & Losi, L. Mobile media education as a tool to reduce problematic smartphone use: results of a randomised impact evaluation. Comput. Educ. 194, 104705 (2023).
Google Scholar
Pyhältö, K., Rekola, H., Salovuori, S., Kosola, S. & Anttila, H. The relationship between academic achievement and off-task social media and smartphone usage: evidence from a systematic literature review. Acta Psychol. 260, 105645 (2025).
Google Scholar
Salari, N. et al. The impact of social networking addiction on the academic achievement of university students globally: a meta-analysis. Public Health Pract. 9, 100584 (2025).
Google Scholar
Silver, L. et al. Mobile Connectivity in Emerging Economies (Pew Research Center, 2019); https://www.pewresearch.org/internet/wp-content/uploads/sites/9/2019/03/PI_2019.03.07_Mobile-Connectivity_FINAL.pdf
Conway, M. A. & Pleydell-Pearce, C. W. The construction of autobiographical memories in the self-memory system. Psychol. Rev. 107, 261 (2000).
Google Scholar
Loftus, E. F. & Marburger, W. Since the eruption of Mt. St. Helens, has anyone beaten you up? Improving the accuracy of retrospective reports with landmark events. Memory Cogn. 11, 114–120 (1983).
Google Scholar
Bandura, A. Self-Efficacy: The Exercise of Control (W. H. Freeman/Times Books/Henry Holt & Co., 1997).
Su, R., Tay, L. & Diener, E. The development and validation of the Comprehensive Inventory of Thriving (CIT) and the Brief Inventory of Thriving (BIT). Appl. Psychol. Health Well-Being 6, 251–279 (2014).
Google Scholar
Andolfi, V. R., Tay, L., Confalonieri, E. & Traficante, D. Assessing well-being in children: Italian adaptation of the Comprehensive Inventory of Thriving for Children (CIT-Child). TPM Test. Psychom. Methodol. Appl. Psychol. 24, 127–145 (2017).
Report livelli di istruzione e ritorni occupazionali (ISTAT, 2023); https://www.istat.it/wp-content/uploads/2024/07/REPORT-livelli-istruzione.pdf
Livingstone, S., Haddon, L. & Vincent, J. Children’s rights to participate in the digital world. J. Child. Media 11, 56–63 (2017).
Kurten, S., Ghai, S., Odgers, C., Kievit, R. A. & Orben, A. Deprivation’s role in adolescent social media use and its links to life satisfaction. Comput. Hum. Behav. 165, 108541 (2025).
Google Scholar
Odgers, C. & Robb, M. B. Tweens, Teens, Tech, and Mental Health: Coming of Age in an Increasingly Digital, Uncertain, and Unequal World, 2020 (Common Sense Media, 2020).
Annuario Statistico Italiano 2024 (ISTAT, 2024); https://www.istat.it/wp-content/uploads/2024/12/ASI_2024.pdf
Hainmueller, J. Entropy balancing for causal effects: a multivariate reweighting method to produce balanced samples in observational studies. Political Anal. 20, 25–46 (2012).
Google Scholar
Lundberg, I., Johnson, R. & Stewart, B. M. What is your estimand? Defining the target quantity connects statistical evidence to theory. Am. Sociol. Rev. 86, 532–565 (2021).
Google Scholar
de Chaisemartin, C. & d’Haultfoeuille, X. Two-way fixed effects estimators with heterogeneous treatment effects. Am. Econ. Rev. 110, 2964–2996 (2020).
Google Scholar
Roth, J., Sant’Anna, P. H., Bilinski, A. & Poe, J. What’s trending in difference-in-differences? A synthesis of the recent econometrics literature. J. Econom. 235, 2218–2244 (2023).
Google Scholar
