Impact of Screen Time on Development of Children
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Inclusion Criteria
2.2. Data Collection
2.3. Research Methodology
- Quantitative research: These studies primarily used surveys and questionnaires to assess screen time exposure (length, kind of material, and devices used) to examine developmental outcomes like academic achievement, cognitive abilities, and behavioral changes.
- Qualitative research: To learn more about how parents, guardians, and educators perceive the effects of screen usage on kids, researchers interviewed these participants. Family dynamics and the emotional impacts of screen time were also examined through focus groups.
- Mixed-methods research: Some researchers blended quantitative and qualitative approaches, merging statistical analysis with in-depth interviews and observations to offer a more holistic perspective.
2.4. Measured Outcomes
- Cognitive development: memory, language acquisition, and academic success.
- Emotional and social development: Social skills, emotional control, behavioral adaptations, and the growth of empathy.
- Physical health metrics: Body mass index (BMI), activity level, sleep quality, and the development of motor skills.
- Mental health: Problems such as anxiety, depression, and the psychological effects of excessive screen usage.
2.5. Data Analysis Techniques
2.6. Criteria for Study Selection
Methodology
- Involving children and adolescents aged 0 to 18 years;
- Examining the relationship between screen use (e.g., screen time, digital media exposure) and developmental outcomes (physical, social, emotional, or cognitive);
- Published in peer-reviewed journals within the last 10 years (1 January 2015–31 December 2024);
- Written in English.
3. Results and Discussion
3.1. Understanding Screen Time
3.1.1. Definition of Screen Time
- Smartphones and tablets: Portable devices used for communication, entertainment, and productivity.
- Computers and laptops: Common tools for work, education, and digital entertainment.
- Televisions: Initially used for broadcasting news and entertainment, now widely used for streaming digital content.
- Gaming consoles: Devices primarily designed for video gaming, offering both recreational and social experiences.
3.1.2. Guidelines and Recommendations for Screen Time Usage by Age Group
3.2. Cognitive Development
3.2.1. Positive Aspects of Screen Time on Cognitive Development
3.2.2. Negative Effects of Screen Time on Cognitive Development
3.2.3. Content and Context of Screen Time
3.3. Social and Emotional Development
3.4. Physical Development
3.4.1. Effects on Sleep Patterns and Quality
3.4.2. Visual Health
3.5. Language Development
3.5.1. Role of Screen Time in Language Acquisition and Communication Skills
3.5.2. Comparison Between Passive and Interactive Screen Time
3.5.3. Potential Delays in Language Development Due to Excessive Screen Exposure
3.6. Neurodevelopmental Effects
- Increased risk of ADHD Symptoms:
- Attention and focus: Children’s attention spans have been linked to extended screen time, especially when it comes to fast-paced, interactive media (such as social media or video games). Children may find it more difficult to concentrate on less engaging activities (such as homework or chats) as a result [16].
- Hyperactivity: Excessive screen time, especially when it comprises high-energy content, may be a contributing factor to hyperactive behavior, according to several studies. Although the relationship is complicated and not entirely understood, this is consistent with symptoms of ADHD. While some studies contend that excessive screen time may worsen pre-existing symptoms of ADHD, others imply that children with ADHD may be more drawn to screen-based activities [27].
- Cognitive delays and developmental concerns:
- Delayed language development: Language development delays may occur in young children who spend a lot of time on screens. Activities like reading and in-person interactions that are essential for language learning are frequently replaced by screen usage. Verbal communication, vocabulary development, and other cognitive abilities may be impacted by these delays [16].
- Impact on executive function: Overuse of screens, particularly during early childhood, has been associated with a decline in the development of executive skills like memory, self-control, and problem-solving. Given the importance of executive processes to both academic achievement and general cognitive development, this is especially worrisome [23,42].
3.7. Parental Mediation and Screen Time Management
3.7.1. The Role of Parents in Moderating Screen Time Usage
3.7.2. Mediation Strategies
Impact of Parental Screen Time Habits on Children
3.8. Cultural and Socioeconomic Factors
- Perceptions of technology’s role in development
- o
- Positive attitudes: Screen time may be more acceptable in societies that view technology as a necessary educational tool. Increased screen time for activities like learning apps, online learning, and virtual classrooms may be permitted or even encouraged by parents and educators. This is frequently observed in settings that place a high value on the potential of technology to improve education.
- o
- Negative attitudes: In cultures where there is skepticism about the effects of screen time on child development, particularly its impact on attention span, physical health, and social skills, there may be more restrictions. For instance, some societies place a high value on outdoor play, face-to-face interactions, or hands-on learning, leading to limited use of screens [22].
- Technological accessibility and affordability
- o
- Wealthier countries: In more affluent societies where access to personal devices (smartphones, tablets, computers) is widespread, screen time may be higher, with children using technology for entertainment, socializing, and schoolwork. Technology may be integrated into daily life as a necessity, with cultural expectations that children will be adept at using these devices from a young age [33].
- o
- Developing regions: In lower-income or developing areas, the use of technology may be less common or more restricted. Cultural norms in these areas may prioritize physical activities, community-based education, or traditional play, which can result in less screen time for children. However, access to technology may be increasing, and in some cases, the influence of global trends may shift attitudes.
Global Perspectives on Screen Time and Child Development
3.9. Potential Benefits of Screen Time
3.9.1. Educational Content and Digital Literacy
3.9.2. Development of Technological Skills and Preparedness for Future Careers
3.10. Interventions and Recommendations
Study Limitations
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- American Psychological Association. Screen Time and Children. 2020. Available online: https://share.google/81yZbE4tnToPgBnmQ (accessed on 1 January 2024).
- American Academy of Pediatrics. Healthy Digital Habits. Available online: https://www.aap.org/en/news-room/campaigns-and-toolkits/healthy-digital-habits/?srsltid=AfmBOorU0D6GWA25lXQWkwXjz64BzQXQUqc5IUDGjW6AsY-0SD8EJ1jn (accessed on 10 May 2024).
- McArthur, B.A.; Tough, S.; Madigan, S. Screen time and developmental and behavioral outcomes for preschool children. Pediatr. Res. 2022, 91, 1616–1621. [Google Scholar] [CrossRef]
- Fardouly, J.; Magson, N.R.; Johnco, C.J.; Oar, E.L.; Rapee, R.M. Parental Control of the Time Preadolescents Spend on Social Media: Links with Preadolescents’ Social Media Appearance Comparisons and Mental Health. J. Youth Adolesc. 2018, 47, 1456–1468. [Google Scholar] [CrossRef]
- Divan, H.A.; Kheifets, L.; Obel, C.; Olsen, J. Prenatal and Postnatal Exposure to Cell Phone Use and Behavioral Problems in Children. Epidemiology 2008, 19, 523–529. [Google Scholar] [CrossRef]
- Dube, R.; Kar, S.S.; Bahutair, S.N.M.; Kuruba, M.G.B.; Shafi, S.; Zaidi, H.; Garg, H.C.; Almas, Y.M.; Kidwai, A.; Zalat, R.A.F.; et al. The Fetal Effect of Maternal Caffeine Consumption During Pregnancy—A Review. Biomedicines 2025, 13, 390. [Google Scholar] [CrossRef] [PubMed]
- Fatima, A.; Abuhijleh, S.A.; Fatah, A.; Mohsin, M.M.; Kar, S.S.; Dube, R.; George, B.T.; Kuruba, M.G.B. Infantile Neuroaxonal Dystrophy: Case Report and Review of Literature. Medicina 2024, 60, 1322. [Google Scholar] [CrossRef] [PubMed]
- Sudan, M.; Kheifets, L.; Arah, O.A.; Olsen, J. Cell phone exposures and hearing loss in children in the Danish National Birth Cohort. Paediatr. Perinat. Epidemiol. 2013, 27, 247–257. [Google Scholar] [CrossRef]
- Papadopoulou, E.; Haugen, M.; Schjølberg, S.; Magnus, P.; Brunborg, G.; Vrijheid, M.; Vrijheid, M.; Alexander, J. Maternal Cell Phone Use in Early Pregnancy and Child’s Language, Communication and Motor Skills at 3 and 5 Years: The Norwegian Mother and Child Cohort Study (MoBa). BMC Public Health 2017, 17, 685. [Google Scholar] [CrossRef] [PubMed]
- Sahyouni, J.K.; Odeh, L.B.M.; Mulla, F.; Junaid, S.; Kar, S.S.; Al Boot Almarri, N.M.J. Infantile Sandhoff disease with ventricular septal defect: A case report. J. Med. Case Rep. 2022, 16, 317. [Google Scholar] [CrossRef]
- Alshehhi, N.T.; Alnuaimi, A.Y.; Sahib, T.K.; Bazar, K.A.O.; Kar, S.S.; Dube, R. Pattern and profile of different thyroid dysfunctions in Down Syndrome. J. Adv. Pharm. Educ. Res. 2025, 15, 1–7. [Google Scholar] [CrossRef]
- Fardouly, J.; Diedrichs, P.C.; Vartanian, L.R.; Halliwell, E. Social comparisons on social media: The impact of Facebook on young women’s body image concerns and mood. Body Image 2015, 13, 38–45. [Google Scholar] [CrossRef]
- Nesi, J.; Prinstein, M.J. Using social media for social comparison and feedback-seeking: Gender and popularity moderate associations with depressive symptoms. J. Abnorm. Child Psychol. 2015, 43, 1427–1438. [Google Scholar] [CrossRef]
- Coyne, S.M.; Rogers, A.A.; Zurcher, J.D.; Stockdale, L.; Booth, M. Does time spent using social media impact mental health?: An eight year longitudinal study. Comput. Hum. Behav. 2020, 104, 106160. [Google Scholar] [CrossRef]
- Christakis, D.A.; Ramirez, J.S.B.; Ferguson, S.M.; Ravinder, S. How early media exposure may affect cognitive function: A review of results from observations inhumans and experiments in mice. Proc. Natl. Acad. Sci. USA 2018, 115, 9851–9858. [Google Scholar] [CrossRef]
- Hutton, J.S.; Dudley, J.; Horowitz-Kraus, T.; DeWitt, T.; Holland, S.K. Associations between screen-based media use and brain white matter integrity in preschool-aged children. JAMA Pediatr. 2020, 174, e193869. [Google Scholar] [CrossRef]
- Horowitz-Kraus, T.; Hutton, J.S. Brain connectivity in children is increased by the time they spend reading books and decreased by the length of exposure to screen-based media. Acta Paediatr. Int. J. Paediatr. 2018, 107, 685–693. [Google Scholar] [CrossRef]
- Chng, G.S.; Li, D.D.; Liau, A.K.; Khoo, A. Moderating effects of the family environment for parental mediation and pathological Internet use in youths. Cyberpsychol. Behav. Soc. Netw. 2015, 18, 30–36. [Google Scholar] [CrossRef] [PubMed]
- Lillard, A.S.; Drell, M.B.; Richey, E.M.; Boguszewski, K.; Smith, E.D. Further examination of the immediate impact of television on children’s executive function. Dev. Psychol. 2015, 51, 792–805. [Google Scholar] [CrossRef]
- Chou, C.; Lee, Y.H. The moderating effects of Internet parenting styles on the relationship between Internet parenting behavior, Internet expectancy, and Internet addiction tendency. Asia-Pac. Educ. Res. 2017, 26, 137–146. [Google Scholar] [CrossRef]
- Collier, K.M.; Coyne, S.M.; Rasmussen, E.E.; Hawkins, A.J.; Padilla-Walker, L.M.; Erickson, S.E.; Memmott-Elison, M.K. Does parental mediation of media influence child outcomes? A meta-analysis on media time, aggression, substance use, and sexual behavior. Dev. Psychol. 2016, 52, 798–812. [Google Scholar] [CrossRef] [PubMed]
- Canadian Paediatric Society. Screen time and young children: Promoting health and development in a digital world. Paediatr. Child Health 2019, 24, 355–357. [Google Scholar] [CrossRef]
- American Academy of Pediatrics. Media and young minds. Pediatrics 2016, 138, e20162591. [Google Scholar] [CrossRef]
- NHS. How Much Screen Time Should Children Have? Available online: https://share.google/dJbpR62EoewbfGFqz (accessed on 1 January 2024).
- Bedford, R.; Urabain, I.R.S.; Cheung, C.H.M.; Karmiloff-Smith, A.; Smith, T.J. Toddlers’ Fine Motor Milestone Achievement Is Associated with Early Touchscreen Scrolling. Front. Psychol. 2016, 7, 1108. [Google Scholar] [CrossRef] [PubMed]
- Anderson, D.R.; Subrahmanyam, K.; Cognitive Impacts of Digital Media Workgroup. Digital Screen Media and Cognitive Development. Pediatrics 2017, 140 (Suppl. S2), S57–S61. [Google Scholar] [CrossRef]
- Madigan, S.; Browne, D.; Racine, N.; Mori, C.; Tough, S. Association Between Screen Time and Children’s Performance on a Developmental Screening Test. JAMA Pediatr. 2019, 173, 244–250. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Twenge, J.M.; Spitzberg, B.H.; Campbell, W.K. Less in-person social interaction with peers among U.S. adolescents in the 21st century and links to loneliness. J. Soc. Pers. Relatsh. 2019, 36, 1892–1913. [Google Scholar] [CrossRef]
- Paulus, M.P.; Squeglia, L.M.; Bagot, K.; Jacobus, J.; Kuplicki, R.; Breslin, F.J.; Bodurka, J.; Morris, A.S.; Thompson, W.K.; Bartsch, H.; et al. Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study. Neuroimage 2019, 185, 140–153. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Crone, E.A.; Konijn, E.A. Media use and brain development during adolescence. Nat. Commun. 2018, 9, 588. [Google Scholar] [CrossRef] [PubMed]
- 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. 2016, 170, 1202–1208. [Google Scholar] [CrossRef] [PubMed]
- Cheung, C.H.M.; Bedford, R.; de Urabain, I.R.S.; Karmiloff-Smith, A.; Smith, T.J. Daily touchscreen use in infants and toddlers is associated with reduced sleep and delayed sleep onset. Sci. Rep. 2017, 7, 46104. [Google Scholar] [CrossRef]
- Twenge, J.M.; Krizan, Z.; Hisler, G. Decreases in self-reported sleep duration among U.S. adolescents 2009-2015 and association with new media screen time. Sleep Med. 2017, 39, 47–53. [Google Scholar] [CrossRef] [PubMed]
- Vernon, L.; Modecki, K.L.; Barber, B.L. Mobile phones in the bedroom: Trajectories of sleep habits and subsequent adolescent psychosocial development. Child Dev. 2018, 89, 66–77. [Google Scholar] [CrossRef] [PubMed]
- Grover, K.; Pecor, K.; Malkowski, M.; Kang, L.; Machado, S.; Lulla, R.; Heisey, D.; Ming, X. Effects of instant messaging on school performance in adolescents. J. Child Neurol. 2016, 31, 850–857. [Google Scholar] [CrossRef]
- 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. 2018, 12, 271–293. [Google Scholar] [CrossRef]
- Grøntved, A.; Singhammer, J.; Froberg, K.; Møller, N.C.; Pan, A.; Pfeiffer, K.A.; Kristensen, P.L. A prospective study of screen time in adolescence and depression symptoms in young adulthood. Prev. Med. 2015, 81, 108–113. [Google Scholar] [CrossRef]
- Maras, D.; Flament, M.F.; Murray, M.; Buchholz, A.; Henderson, K.A.; Obeid, N.; Goldfield, G.S. Screen time is associated with depression and anxiety in Canadian youth. Prev. Med. 2015, 73, 133–138. [Google Scholar] [CrossRef]
- 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. 2016, 50, 1252–1258. [Google Scholar] [CrossRef] [PubMed]
- Twenge, J.M.; Martin, G.N.; Campbell, W.K. Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology. Emotion 2018, 18, 765–780. [Google Scholar] [CrossRef] [PubMed]
- Parent, J.; Sanders, W.; Forehand, R. Youth screen time and behavioral health problems: The role of sleep duration and disturbances. J. Dev. Behav. Pediatr. 2016, 37, 277–284. [Google Scholar] [CrossRef]
- Radesky, J.S.; Christakis, D.A. Increased screen time: Implications for early childhood development and behavior. Pediatr. Clin. N. Am. 2016, 63, 827–839. [Google Scholar] [CrossRef]
- 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. 2020, 174, 665–675. [Google Scholar] [CrossRef]
- Rideout, V.J.; Foehr, U.G.; Roberts, D.F. Generation M2: Media in the Lives of 8- to 18-Year-Olds; Henry, J. Kaiser Family Foundation: Menlo Park, CA, USA, 2010; Available online: https://www.kff.org/other/event/generation-m2-media-in-the-lives-of-8-to-18-year-olds/ (accessed on 3 February 2025).
- Greenfield, P.M. Mind and Media: The Effects of Television, Video Games, and Computers; Routledge: Oxfordshire, UK, 2017. [Google Scholar]
- Hirsh-Pasek, K.; Zosh, J.M.; Golinkoff, R.M.; Gray, J.H.; Robb, M.B.; Kaufman, J. Putting education in “educational” apps: Lessons from the science of learning. Psychol. Sci. Public Interest 2015, 16, 3–34. [Google Scholar] [CrossRef]
- Linebarger, D.L.; Piotrowski, J.T. TV as storyteller: How exposure to television narratives impacts at-risk preschoolers’ story knowledge and narrative skills. Br. J. Dev. Psychol. 2009, 27, 47–69. [Google Scholar] [CrossRef]
- Zimmerman, F.J.; Christakis, D.A. Children’s television viewing and cognitive outcomes: A longitudinal analysis of national data. Arch. Pediatr. Adolesc. Med. 2005, 159, 619–625. [Google Scholar] [CrossRef]
- Nathanson, A.I.; Alade, F.; Sharp, M.L.; Rasmussen, E.E.; Christy, K. The relation between television exposure and executive function among preschoolers. Dev. Psychol. 2014, 50, 1497–1506. [Google Scholar] [CrossRef]
- Takeuchi, L.M.; Stevens, R. The New Coviewing: Designing for Learning Through Joint Media Engagement; The Joan Ganz Cooney Center: New York, NY, USA, 2011; Available online: http://www.joanganzcooneycenter.org/publication/the-new-coviewing/ (accessed on 3 February 2025).
- Vandewater, E.A.; Bickham, D.S.; Lee, J.H. Time well spent? Relating television use to children’s free-time activities. Pediatrics 2006, 117, e181–e191. [Google Scholar] [CrossRef]
- Uhls, Y.T.; Michikyan, M.; Morris, J.; Garcia, D.; Small, G.W.; Zgourou, E.; Greenfield, P.M. Five days at outdoor education camp without screens improves preteen skills with nonverbal emotion cues. Comput. Hum. Behav. 2014, 39, 387–392. [Google Scholar] [CrossRef]
- Konrath, S.; O’Brien, E.H.; Hsing, C. Changes in dispositional empathy in American college students over time: A meta-analysis. Pers. Soc. Psychol. Rev. 2011, 15, 180–198. [Google Scholar] [CrossRef]
- American Psychological Association. Resolution on Violent Video Games. 2015. Available online: https://www.apa.org/news/press/releases/2015/08/violent-video-games (accessed on 1 January 2020).
- APA Stress in America. Stress in America™ 2017: Technology and Social Media. Available online: https://share.google/ERWf4yYOiUmcTCYzg (accessed on 10 May 2025).
- Christakis, D.A. The effects of infant media usage: What do we know and what should we learn? Acta Paediatr. 2009, 98, 8–16. [Google Scholar] [CrossRef] [PubMed]
- Domoff, S.E.; Harrison, K.; Gearhardt, A.N.; Gentile, D.A.; Lumeng, J.C.; Miller, A.L. Development and Validation of the Problematic Media Use Measure: A Parent Report Measure of Screen Media “Addiction” in Children. Psychol. Pop. Media Cult. 2019, 8, 2–11. [Google Scholar] [CrossRef] [PubMed]
- Kowalski, R.M.; Giumetti, G.W.; Schroeder, A.N.; Lattanner, M.R. Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychol. Bull. 2014, 140, 1073–1137. [Google Scholar] [CrossRef] [PubMed]
- 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 2020, 61, 336–348. [Google Scholar] [CrossRef]
- Subrahmanyam, K.; Reich, S.M.; Waechter, N.; Espinoza, G. Online and offline social networks: Use of social networking sites by emerging adults. J. Appl. Dev. Psychol. 2008, 29, 420–433. [Google Scholar] [CrossRef]
- Centers for Disease Control and Prevention. Benefits of Physical Activity and Health. 2024. Available online: https://share.google/pdGsBrk6lSm8ymyY9 (accessed on 10 May 2024).
- Pearson, N.; Biddle, S.J. Sedentary behavior and dietary intake in children, adolescents, and adults. Am. J. Prev. Med. 2011, 41, 178–188. [Google Scholar] [CrossRef] [PubMed]
- Tremblay, M.S.; LeBlanc, A.G.; Kho, M.E.; Saunders, T.J.; Larouche, R.; Colley, R.C.; Goldfield, G.; Gorber, S.C. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 98. [Google Scholar] [CrossRef] [PubMed]
- Chang, A.M.; Aeschbach, D.; Duffy, J.F.; Czeisler, C.A. Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proc. Natl. Acad. Sci. USA 2015, 112, 1232–1237. [Google Scholar] [CrossRef]
- Owens, J.A. Insufficient Sleep in Adolescents and Young Adults: An Update on Causes and Consequences. Pediatrics 2014, 134, e921–e932. [Google Scholar] [CrossRef]
- Holden, B.A.; Fricke, T.R.; Wilson, D.A.; Jong, M.; Naidoo, K.S.; Sankaridurg, P.; Wong, T.Y.; Naduvilath, T.; Resnikoff, S. Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050. Ophthalmology 2016, 123, 1036–1042. [Google Scholar] [CrossRef]
- Zimmerman, F.J.; Christakis, D.A.; Meltzoff, A.N. Associations between media viewing and language development in children under age 2 years. J. Pediatr. 2007, 151, 364–368. [Google Scholar] [CrossRef]
- Linebarger, D.L.; Walker, D. Infants’ and toddlers’ television viewing and language outcomes. Am. Behav. Sci. 2005, 48, 624–645. [Google Scholar] [CrossRef]
- Neuman, S.B.; Dwyer, J. Developing vocabulary and conceptual knowledge for low-income preschoolers: A design experiment. J. Lit. Res. 2011, 43, 103–129. [Google Scholar] [CrossRef]
- Weisleder, A.; Fernald, A. Talking to children matters: Early language experience strengthens processing and builds vocabulary. Psychol. Sci. 2013, 24, 2143–2152. [Google Scholar] [CrossRef] [PubMed]
- Vandewater, E.A.; Rideout, V.J.; Wartella, E.A.; Huang, X.; Lee, J.H.; Shim, M.S. Digital childhood: Electronic media and technology use among infants, toddlers, and preschoolers. Pediatrics 2007, 119, e1006–e1015. [Google Scholar] [CrossRef]
- Roseberry, S.; Hirsh-Pasek, K.; Golinkoff, R.M. Skype me! Socially contingent interactions help toddlers learn language. Child Dev. 2014, 85, 956–970. [Google Scholar] [CrossRef]
- Christakis, D.A. Interactive media use at younger than the age of 2 years: Time to rethink the American Academy of Pediatrics guideline? JAMA Pediatr. 2011, 165, 559–560. [Google Scholar] [CrossRef]
- Tandon, P.S.; Saelens, B.E.; Christakis, D.A. Active play opportunities at child care. Pediatrics 2015, 135, e1425–e1431. [Google Scholar] [CrossRef]
- Valkenburg, P.M.; Piotrowski, J.T. Plugged in: How Media Attract and Affect Youth; Yale University Press: New Haven, CT, USA, 2017. [Google Scholar]
- Clark, L.S. Parental mediation theory for the digital age. Commun. Theory 2011, 21, 323–343. [Google Scholar] [CrossRef]
- Choo, H.; Sim, T.; Liau, A.K.F.; Gentile, D.A.; Khoo, A. Parental influences on pathological symptoms of video-gaming among children and adolescents: A prospective study. J. Child Fam. Stud. 2014, 24, 1429–1441. [Google Scholar] [CrossRef]
- Kwon, M.; Kim, D.J.; Cho, H.; Yang, S. The smartphone addiction scale: Development and validation of a short version for adolescents. PLoS ONE 2013, 8, e83558. [Google Scholar] [CrossRef] [PubMed]
- BBC News. China cuts children’s online gaming to one hour. BBC News, 30 August 2021. Available online: https://share.google/5uFjNuwIk3LjBul0E (accessed on 3 March 2022).
- Greenfield, P.M. Technology and informal education: What is taught, what is learned. Science 2009, 323, 69–71. [Google Scholar] [CrossRef]
- Anderson, C.A.; Dill, K.E. Video games and aggressive thoughts, feelings, and behavior in the laboratory and in life. J. Pers. Soc. Psychol. 2000, 78, 772–790. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. WHO Guidelines on Physical Activity, Sedentary Behaviour and Sleep for Children Under 5 Years of Age; World Health Organization: Geneva, Switzerland, 2019; Available online: https://www.who.int/publications/i/item/9789241550536 (accessed on 1 December 2024).
- Raghavan, R.; Almas, Y.M.; Sheikh, M.; Alramah, A.K.; Kar, S.S.; Dube, R.; Goud, B.K.M. Effect of obesity on the Health and Quality of life in Late Adolescents. Rev. Educ. 2024, 407. [Google Scholar] [CrossRef]
Author and Year [Reference Number] | Country | Study Design | Screen Type | Sample Size | Key Findings |
---|---|---|---|---|---|
Fardouly, 2015 [12] | Australia, UK | RCT | 112 females | Participants who spent time on Facebook reported being in a more negative mood than those who spent time on the control (fashion magazine; neutral control website) | |
Nesi, 2015 [13] | USA | Longitudinal study | Cell phones, Facebook, and Instagram | 619; (57.3% females) ages of 12 and 16 (mean age 14.6) | Short Mood and Feelings Questionnaire was used to assess depressive symptoms. Significant positive associations were found between the frequency of technology use, technology-based SCFS, and offline excessive reassurance-seeking behaviors. Popularity was positively associated with frequency of technology use and technology-based SCFS; however, it was negatively associated with depressive symptoms. |
Coyne, 2020 [14] | USA | Longitudinal study | Social media (Facebook, Instagram) | 500; 10 and 13 years (51.6% female) | Self-reported Center for Epidemiological Studies Depression Scale for Children, and generalized anxiety disorder subscale from the Spence Child Anxiety Inventory were used. Time spent using SNSs were moderately related to anxiety and depression. |
Christakis, 2018 [15] | USA | Longitudinal study | Television | 1278 children at age 1 and 1345 children at age 3 | Increased television viewing before the age of 3 was associated with increased risk of attentional problems at 7 years of age. The pacing of shows drove these effects, with faster pacing having stronger associations with subsequent attentional problems. |
Hutton, 2020 [16] | USA | Cross-sectional study | Screen time | 47; aged 3 to 5 years (54.3 ± 7.5 months) | In healthy prekindergarten children, screen use greater than that recommended was associated with (1) lower measures of microstructural organization and myelination of brain white matter tracts that support language and emergent literacy skills and (2) corresponding cognitive assessments. |
Horowitz-Kraus, 2015 [17] | USA | Comparative study | Screen-based media time (smartphones/tablets/desktop/laptop computers/television) | 19; aged 8–12 years | MRI assessed resting-state connectivity between the left visual word form area, as the seed area, and other brain regions. Time spent reading was positively correlated with higher functional connectivity between the seed area and left-sided language, visual, and cognitive control regions. Screen time was related to lower connectivity between the seed area and regions related to language and cognitive control. |
McArthur, 2021 [3] | Canada | Cohort | TV, computer, video games | 1994 mothers and children; 36 months | Duration of screen time is associated with poor child development outcomes. Compared to ≤1 h/day, children using screens 2 h or ≥3 h/day had an increased likelihood of reported behavioral problems (adjusted odds ratio (AOR) 1.30–1.90), delayed achievement of developmental milestones (AOR 1.41–1.68), and poorer vocabulary acquisition (AOR 1.94). |
Chng, 2015 [18] | Singapore | Interventional study | Internet use | 3079 | Restrictive mediation was found to be negatively associated with pathological Internet use. This relation was stronger for higher levels of attachment, communication, and comfort at home, implying that the effectiveness of restrictive mediation varies with the degree of warmth and support in the general family environment. |
Lillard, 2015 [19] | USA | Observational 3 studies | Shows on screen; fast fantastical shows vs. slow, realistic shows | 300; aged 4–6 years | Executive function is impaired after watching fast and fantastical shows, relative to that of children who watched a slow, realistic show or played. Only fantastical shows, regardless of their pacing, disrupted 4-year-olds’ executive function. |
Chou, 2017 [20] | Taiwan | Cross-sectional survey | Internet use | 3169; aged d13–16 | Quality of Internet parenting behaviors may be related to changes in students’ internet expectancy and addiction. Children’s amount of Internet use, their gender, and parental education level are additional factors. |
Collier, 2016 [21] | USA | Meta-analyses | Effect of parental mediation of media on child outcomes (aggression, sexual behaviors) | - | Small but significant relationships between child outcomes and restrictive mediation (r+ = −0.06), and co-viewing (r+ = 0.09). Active mediation was individually related to lower levels of aggression (r+ = −0.08), sexual behavior (r+ = −0.06), and substance use (r+ = −0.11) |
Fardouly, 2018 [4] | Australia | Observational study | Parental control over the time their child spends on social media | N = 284; aged 10–12 | Preadolescents, whose parents reported greater control over their child’s time on social media, reported better mental health. This relationship was mediated by preadolescents spending less time browsing and making fewer appearance comparisons on social media. |
Canadian Paediatric Society, 2019 [22] | Canada | Guidance | Promoting health and development | Children less than 5 years of age | Co-viewing quality screen content can positively influence children’s social adaptive skills, sleep patterns, and behaviors by being involved with and setting limits on their screen time. TV viewing negatively associated with school readiness skills. |
American Academy of Pediatrics, 2016, 2022 [23] | USA | Review | Television, videos, and mobile/interactive technologies | Children less than 5 years of age | Heavy media use during preschool years is associated with small but significant increases in BMI; fewer minutes of sleep per night; and cognitive, language, and social/emotional delays. Excessive exposure to screens (television, tablets, smartphones, computers, and video game consoles), especially at young ages, is associated with lower academic performance, sleep disturbances, obesity, attention deficit, increased aggression, lower self-esteem, depression, and increased rates of high-risk behaviors. |
National Health Service guidance, 2023 [24] | UK | Advice | Television, video games, electronic devices | School-age children | Recommended no more than 2 h of screen time for good sleep and the prevention of obesity, alongside other measures. |
Bedford, 2016 [25] | UK | Observational study | Touchscreen | 366; aged 19–36 months | In toddlers, aged 19–36 months, age of first touchscreen use was significantly associated with fine motor skills (stacking blocks) (p = 0.03) after controlling for covariates age, sex, mother’s education (a proxy for socioeconomic status) as well as age of early fine motor milestone achievement (pincer grip). This effect was only present for active scrolling of the touchscreen (p = 0.04), not for video watching. No significant relationships were found between touchscreen use and either gross motor or language milestones. |
Anderson, 2017 [26] | USA | Review | Screen and media | Age group: toddlers to adolescents | For children <2 years old, television viewing has mostly negative associations, especially for language and executive function. For preschool-aged children, television viewing has been found to have both positive and negative outcomes, and a large body of research suggests that educational television has a positive impact on cognitive development. |
Madigan, 2019 [27] | Canada | Longitudinal cohort study | Screen time | 2441; 24, 36, and 60 months | Higher levels of screen time at 24 and 36 months were significantly associated with poorer performance on developmental screening tests at 36 months (β, −0.06; 95% CI, −0.10 to −0.01) and 60 months (β, −0.08; 95% CI, −0.13 to −0.02), respectively. These within-person (time-varying) associations were statistically controlled for between-person (stable) differences. |
Twenge, 2019 [28] | USA | Observational study | Screen time | 8.2 million; aged 13–18 years | Adolescents low in in-person social interaction and high in social media use reported the most loneliness. |
Paulus, 2019 [29] | USA | Cohort | Screen media activity (SMA) | 4524; adolescents | Some SMA-related factors corresponded with higher externalizing (Cohen’s d effect size (ES) 0.06–0.1) but not internalizing psychopathology and lower crystalized (ES: 0.08–0.1) and fluid intelligence (ES: 0.04–0.09). Findings support the notion of SMA-related maturational coupling or structural correlation networks in the brain and provide evidence that individual differences of these networks have mixed consequences for psychopathology and cognitive performance. |
Crone, 2018 [30] | Netherland | Review | Media use | - | Neural systems that are associated with behaviors that are important for social media use, including social reward processing, emotion-based processing, regulation, and mentalizing about others. As these neural systems are still underdeveloped and undergoing significant changes during adolescence, they may contribute to sensitivity to online rejection, acceptance, peer influence, and emotion-loaded interactions in media environments. |
Carter, 2016 [31] | UK | Review | Media device use | 125 198; mean [SD] age, 14.5 [2.2] years | There was a strong and consistent association between bedtime media device use and inadequate sleep quantity (odds ratio [OR], 2.17; 95% CI, 1.42–3.32) (p < 0.001, I2 = 90%), poor sleep quality (OR, 1.46; 95% CI, 1.14–1.88) (p = 0.003, I2 = 76%), and excessive daytime sleepiness (OR, 2.72; 95% CI, 1.32–5.61) (p = 0.007, I2 = 50%). |
Cheung, 2017 [32] | UK | Observational study | Television and touchscreens | 715; 6–36 months | Increased TV exposure associated with less sleep during the day. Increased touchscreen use was associated with decreased overall amount of sleep (beta = −0.146, SE = 0.049, p = 0.003). The unstandardized beta value (−0.26) means that every additional hour of touchscreen use is associated with an overall reduction in sleep of 15.6 minutes. |
Twenge, 2017 [33] | USA | Observational study | Electronic device use, social media, and reading online | 369,595; adolescents | Clear exposure–response relationship of short sleep duration with the use of electronic devices after 2 or more hours per day |
Vernon, 2018 [34] | Australia | Observational study | Mobile phone | 1101; aged 13–16 years | Increased night-time mobile phone use was directly associated with increased externalizing behavior and decreased self-esteem and coping. Changes in sleep behavior increase depressed mood and externalizing behavior, and later declines in self-esteem and coping. |
Grover, 2016 [35] | USA | Observational study | Mobile phone | 2353; adolescents | Longer duration of messaging after lights out was more likely to lead to a shorter sleep duration, a higher rate of daytime sleepiness, and poorer academic performance. |
Twenge, 2018 [36] | USA | Observational study | Cell phones, computers, electronic devices, games, and TV | 40,337; aged 2–17 years | After 1 h/day of use, more hours of daily screen time were associated with lower psychological well-being, including less curiosity, lower self-control, more distractibility, more difficulty making friends, less emotional stability, being more difficult to care for, and inability to finish tasks. Among 14- to 17-year-olds, high users of screens (7+ h/day vs. low users of 1 h/day) were more than twice as likely to ever have been diagnosed with depression (RR 2.39, 95% CI 1.54, 3.70), ever diagnosed with anxiety (RR 2.26, CI 1.59, 3.22), treated by a mental health professional (RR 2.22, CI 1.62, 3.03) or have taken medication for a psychological or behavioral issue (RR 2.99, CI 1.94, 4.62) in the last 12 months. Moderate use of screens (4 h/day) was also associated with lower psychological well-being |
Grontved, 2015 [37] | Denmark | Longitudinal cohort | Television, computer, total screen time | 435; up to 12 years | Each additional hour/day spent screen viewing in adolescence was associated with 1.36 (95% CI 0.73–1.98) and 1.05 (95% CI 0.50–1.60), respectively, greater depression summary score in young adulthood (p < 0.001), and 1.64 (95% CI 1.18–2.27) and 1.58 (95% CI 1.18–2.12), respectively, greater odds of prevalent depression in young adulthood, and dose–response relationships were indicated. |
Maras, 2015 [38] | Canada | Observational Study | Television, video games, and computers | 2482; Grade 7 to 12 students | Duration of screen time was associated with severity of depression (β = 0.23, p < 0.001) and anxiety (β = 0.07, p < 0.01). Video game playing (β = 0.13, p < 0.001) and computer use (β = 0.17, p < 0.001) but not TV viewing were associated with more severe depressive symptoms. Video game playing (β = 0.11, p < 0.001) was associated with the severity of anxiety. |
Liu, 2015 [39] | China | Systematic review | Total screen time | 127,714 | Higher screen time (ST) in preadolescent children and adolescents was significantly associated with a higher risk of depression (OR = 1.12; 95% CI 1.03 to 1.22). Screen type, age, population and reference category acted as significant moderators. Compared with those with no ST, there was a non-linear dose–response association of ST with a decreasing risk of depression at ST < 2 h/day, with the lowest risk being observed for 1 h/day (OR = 0.88; 95% CI 0.84 to 0.93). |
Twenge, 2018 [40] | USA | Observational study | Screen time | 1.1 million; 8th, 10th, and 12th graders | Adolescents who spent more time on electronic communication and screens (e.g., social media, the Internet, texting, gaming) and less time on non-screen activities had lower psychological well-being. |
Parent, 2016 [41] | USA | Observational study | Television, computers, smartphones, video games, tablets | 3–7 yrs; [N = 209], 8–12 yrs; [N = 202], 13–17 yrs; [N = 210] | Higher levels of youth screen time were associated with more sleep disturbances, which, in turn, were linked to higher levels of youth behavioral health problems. |
Radesky, 2016 [42] | USA | Review | Mobile and interactive media | 0–8 years | Excessive media use negatively affects child cognitive, language, literacy, and social–emotional development. |
Madigan, 2020 [43] | Canada | Systematic review and meta-analysis | Total screen time | 18,905; aged up to 12 years | According to data from 42 studies, greater quantity of screen use (i.e., hours per day/week) was negatively associated with child language, while better quality of screen use (i.e., educational programs and co-viewing with caregivers) was positively associated with child language skills (screen time [n = 38; r = −0.14; 95% CI, −0.18 to −0.10]; background television [n = 5; r = −0.19; 95% CI, −0.33 to −0.05]), while better-quality screen use (educational programs [n = 13; r = 0.13; 95% CI, 0.02–0.24]; co-viewing [n = 12; r = 0.16; 95% CI, 0.07–.24]) were associated with stronger child language skills. Later age at screen use onset was also associated with stronger child language skills [n = 4; r = 0.17; 95% CI, 0.07–0.27]. |
Age Group | Recommendation | Rationale |
---|---|---|
Children under 18 months | Avoid screen time, except for video chatting. | Sensory-rich and interactive play promotes brain development more effectively than screens [2]. |
Children 18 to 24 months | Introduce high-quality digital content only with caregiver co-viewing | Adult interaction enhances learning and understanding [2]. |
Children 2 to 5 years | Limit screen use to one hour daily of high-quality content, with active adult involvement | Encourages better comprehension and mitigates passive use [2]. |
Children 6 years and older | Create consistent screen time limits; prioritize physical activity, sleep, and interpersonal interaction | Helps develop healthy life balance and habits [2]. |
Teens | Allow screen use for education and social connection but set clear limits on entertainment and bedtime usage | Promotes sleep hygiene and family engagement [3]. |
Domains | Effect on Social and Emotional Development |
---|---|
Influence on social skills and relationships |
|
Effects on emotional regulation and behavioral issues |
|
Impact of excessive screen time on self-esteem and body image |
|
Social isolation and screen time’s role in social skills development |
|
Domains | Description | Potential Positive Effects | Potential Negative Effects |
---|---|---|---|
Neuroplasticity and screen time | The brain’s capacity to rearrange itself by creating new synaptic connections throughout life, particularly in reaction to experience and learning, is known as neuroplasticity. Numerous factors, including environmental stressors like screen time, influence the nature of these alterations. |
|
|
Gray matter and screen time | Neuronal cell bodies make up gray matter, which is essential for information processing and cognitive processes like decision making, muscle control, and sensory perception. Changes in gray matter density or volume may be a reflection of changes in how the brain develops and functions. |
|
|
Strategy | Description |
---|---|
1. Setting clear boundaries and guidelines | Given the child’s age, needs, and activities, parents should establish clear and sensible screen time limitations. While older children may need limitations that balance screen time with other important activities like homework, housework, and physical activity, the AAP recommends that children aged 2 to 5 should not spend more than an hour a day on screens [26]. |
2. Modeling healthy screen habits | Kids pick up a lot of knowledge from watching their parents. Good screen habits, such as setting screen time limits and emphasizing in-person interactions, should be modeled by parents. Children are more inclined to follow their parents’ example of responsible technology use [74]. |
3. Promoting physical and social activities | Social contacts, outdoor play, and physical activity should all be promoted by parents. In addition to supporting the child’s general development, both socially and physically, these activities can help balance screen usage. Children’s excessive screen time can be avoided by promoting pastimes like reading, athletics, or artistic endeavors like music or sketching [75]. |
Positive mediation strategies |
|
Negative mediation strategies |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kar, S.S.; Dube, R.; Goud, B.K.M.; Gibrata, Q.S.; El-Balbissi, A.A.; Al Salim, T.A.; Fatayerji, R.N.M.A.K. Impact of Screen Time on Development of Children. Children 2025, 12, 1297. https://doi.org/10.3390/children12101297
Kar SS, Dube R, Goud BKM, Gibrata QS, El-Balbissi AA, Al Salim TA, Fatayerji RNMAK. Impact of Screen Time on Development of Children. Children. 2025; 12(10):1297. https://doi.org/10.3390/children12101297
Chicago/Turabian StyleKar, Subhranshu Sekhar, Rajani Dube, Bellary Kuruba Manjunatha Goud, Qonitah Syadida Gibrata, Adlen Adnan El-Balbissi, Tasnimm Ahmad Al Salim, and Rand Nedal Mohammad Al Khaled Fatayerji. 2025. "Impact of Screen Time on Development of Children" Children 12, no. 10: 1297. https://doi.org/10.3390/children12101297
APA StyleKar, S. S., Dube, R., Goud, B. K. M., Gibrata, Q. S., El-Balbissi, A. A., Al Salim, T. A., & Fatayerji, R. N. M. A. K. (2025). Impact of Screen Time on Development of Children. Children, 12(10), 1297. https://doi.org/10.3390/children12101297