Article Contents
| Clin Exp Pediatr > Volume 69(10); 2026 |
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Funding
This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Acknowledgments
The authors thank all researchers whose work contributed to this review. We also acknowledge the valuable comments of the reviewers, which helped improve the quality and clarity of the manuscript.
LENA, Language Environment Analysis; MR, Mendelian randomization; ADHD, attention-deficit/hyperactivity disorder; DTI, diffusion tensor imaging; ILF, inferior longitudinal fasciculus; MRI, magnetic resonance imaging; AAP, American Academy of Pediatrics; IAP, Indian Academy of Pediatrics; WHO, World Health Organization; LMIC, low- and middle-income country.
| No. | Study | Country/design | No.; age | Exposure measure | Outcomes | Main finding |
|---|---|---|---|---|---|---|
| 1 | Takahashi et al., [1] 2023 | Japan; prospective cohort study | 7,097; 1-yr exposure → 2- & 4-yr outcomes | Parent-reported daily screen time; Japanese version of the Ages & Stages Questionnaires, Third Edition | Ages & stages domains | Higher screen time at 1 yr → ↑ risk of delays in communication & problem-solving (dose-response). |
| 2 | Brushe et al., [4] 2024 | Australia; prospective cohort with LENA | 220; 12–36 mo | Objective LENA (adult words, child vocalizations, conversational turns) + screen time | Home language environment | Each additional minute of screen time associated with fewer adult words, fewer child vocalizations, and fewer conversational turns. |
| 3 | Strouse et al., [5] 2018 | South United States; prospective cohort study | 88; 28.2–32.3 mo | Video type (contingent vs. prerecorded) with or without parent modeling; child attention and prior screen exposure measured | Novel word learning and color-generalization; familiar object comprehension and visual attention during labeling | Parent modeling significantly supported word learning irrespective of video contingency; attention predicted learning, while child participation did not. |
| 4 | Hutton et al., [6] 2020 | USA; cross-sectional neuroimaging (DTI) | 47; preschoolers | ScreenQ (AAP-based) | White-matter FA; preliteracy tests | Greater screen use ↔ lower white-matter integrity in language tracts; poorer emergent literacy. |
| 5 | Kaur et al., [8] 2022 | India; cross-sectional study | 400; 2–5 yr | Daily screen time; excessive screen time defined as >1 hr/day per AAP 2016 guidelines. | Emotional and behavioral problems, sleep disturbances, and physical activity levels assessed using standardized questionnaires. | Excessive screen time was common (≈60%) and associated with daycare attendance, higher caregiver screen use, and lack of media rules; educational content and lower maternal education were protective. |
| 6 | Gastaud et al., [7] 2023 | Southern Brazil; cross-sectional study | 470 | Daily screen time at 18 mo, categorized by duration (<2 hr vs. ≥2 hr per day), reported by primary caregiver. | Cognitive development assessed using Bayley Scales of Infant Development-III cognitive score | Screen exposure ≥2 hr/day was associated with lower cognitive scores; lower maternal education and male sex were additional risk factors. |
| 7 | McArthur et al., [9] 2021 | Canada; prospective observational study | 2,440 Mother and children | Child screen use and shared reading activities at 24, 36, and 60 mo, reported by mothers. | Frequency of parent-child reading activities and subsequent screen use over time | Higher screen use at 24 mo predicted reduced reading at 36 months, which in turn predicted increased screen use at 60 mo, indicating a reciprocal negative association. |
| 8 | Yamamoto et al., [10] 2023 | Japan/Asia; cohort analyses | Young children | Daily screen duration | Developmental screener | ≥2 hr/day linked with poorer developmental performance vs. lower exposure. |
| 9 | Meng et al., [11] 2024 | China; Bidirectional 2-sample Mendelian randomization analysis | 225,534 Individuals (186,843 healthy controlsand 38,691 ADHD patients) | Screen time was measured using genetic proxies for mobile phone use, television viewing, and computer use based on UK Biobank GWAS data. | Childhood ADHD was defined using GWAS data from the Psychiatric Genomics Consortium with ICD-10–based clinical diagnoses. | Longer mobile phone use and television viewing increased childhood ADHD risk, while computer use showed no association and no reverse causality was observed. |
| 10 | Wallace et al., [12] 2023 | Canada; 5-yr population-based longitudinal cohort using multivariate multilevel mediation models | 3779; 12.8 yr | Self-reported screen time: social media, television, video gaming, computer use (min/day) | ADHD symptom scores; mediators: impulsivity (self-report), response inhibition and working memory (task-based) | Increased screen time linked to concurrent ADHD symptom worsening; impulsivity strongest mediator; social media showed lagged effects via inhibition |
| 11 | Liu et al., [13] 2021 | China; prospective cohort study | 2492; 4 yr | Parent-reported daily screen time at 6 mo, 2.5 yr, and 4 yr, categorized as low vs. high by age-specific cutoffs. | Emotional and behavioral problems at 4 yr measured using Strengths and Difficulties Questionnaire total and subscale scores | Higher and sustained early screen time predicted greater emotional symptoms, hyperactivity, conduct, peer problems, and poorer prosocial behavior at 4 yr. |
| 12 | Webb et al., [14] 2024 | United States; cohort study | 63; mean age 26.1 mo (toddlers) | Type of tablet media content (commercial game, digital toy, video viewing) compared with real toy play in toddlers. | Toddler response to joint attention prompts and response to behavioral requests during structured laboratory tasks | Commercial tablet games reduced joint attention and behavioral responsiveness, especially in older toddlers and in boys. |
| 13 | Agrawal et al., [15] 2022 | India; observational study | 299; 2–5 yr | Daily screen-based media exposure (smartphone, TV, tablets, laptops) | Prevalence, duration, practices of screen use, and parental awareness; language, social, and emotional development screening | Most children exceeded recommended screen time, with early exposure mainly for feeding, chores, and calming, despite low parental monitoring |
| 14 | John et al., [16] 2021 | India; cross-sectional study | 189; 2–5 yr | Parent-reported daily screen time, device type, viewing context, and consistency of parental supervision | Parent-reported suspected cognitive delays (attention, intelligence, social skills) assessed using Werner David Development Pictorial Scale | Inconsistent parental supervision, not screen duration alone, was strongly associated with suspected attention, intelligence, and social interaction delays |
| 15 | Shirley et al., [17] 2019 | India; cross-sectional observational study | 148; 24–60 mo | Parent-reported average daily screen time duration, content, and number of screen devices used | Screen time duration relative to WHO/AAP recommendations and its association with demographic and family characteristics | Most preschool children exceeded recommended screen time, with no significant association between screen duration and demographic factors |
| 16 | Varadarajan et al., [18] 2021 | India; cross-sectional study | 718; <5 yr | Parent-recorded average daily screen time over 7 days, classified using WHO age-specific limits | Developmental delay across motor, language, cognitive, social, emotional, and communication domains assessed by the Communication DEALL Developmental checklist | Excessive screen time (73%) was strongly associated with developmental delay, especially language and communication deficits, across both age groups |
| 17 | Hu et al., [19] 2020 | China; cross-sectional study | 579; 5 yr | Parent-reported passive (TV/video) and active (computer, tablet, smartphone) daily screen time | Cognitive development (math, vocabulary, science, executive function) and social skills/problem behaviors assessed via standardized tests and parent scales | Passive screen time negatively predicted cognition and social skills, while active screen time positively predicted vocabulary and science achievement |
| 18 | Zhao et al., [20] 2022 | China; prospective cohort study | 152 Mother-offspring dyads; 6, 9, 12, 18, 24, 36, 48, and 72 mo of age | Repeated parent-reported daily screen time from ages 6–72 mo, modeled into longitudinal screen-time trajectory groups | Cognitive ability (WISC-IV indices) and social-emotional functioning (SDQ scores) assessed at 72 mo | Early or late increasing screen-time trajectories were associated with poorer cognition, working memory, and greater hyperactivity-inattention than persistently low exposure |
| 19 | de Andrade Leão et al., [21] 2024 | Brazil; prospective birth cohort study | 7391; 2,4 yr | Parent-reported television time at ages 2 and 4 yr and total screen time at age 4 yr | Child neurodevelopment at age 4 assessed using total Battelle Development Inventory score | Screen time showed inconsistent, very small associations with neurodevelopment, suggesting limited clinical relevance in children under 5 yr |
| 20 | Madigan et al., [22] 2019 | Canada; prospective longitudinal cohort study using a 3-wave random-intercepts cross-lagged panel model | 2,441 Mother-child dyads; 24, 36, 60 mo | Children’s screen time (hours per week) reported by mothers at 24, 36, and 60 mo | Developmental performance assessed using Ages and Stages Questionnaire, Third Edition across communication, motor, problem-solving, and socioemotional domains | Higher screen time at 24 and 36 mo was associated with poorer developmental scores at 36 and 60 mo, respectively. |
| The reverse association—delayed development leading to increased screen time—was not observed | ||||||
| 21 | Liu H et al., [23] 2025 | China; cross-sectional study | 2,100 Children; 18–72 mo | Average daily screen exposure (none, occasional, <1, 1–2, 2–3, >3 hr); age at first exposure; content type; caregiver interaction | Language development delay (S-S assessment), Developmental Quotient | Screen time >1 hr/day showed a dose-dependent increase in language delay risk; strongest among children exposed >3 hr/day, during COVID-19 quarantine, and without caregiver interaction. |
LENA, Language Environment Analysis; DTI, diffusion tensor imaging; ScreenQ, ScreenQ questionnaire; AAP, American Academy of Pediatrics; FA, fractional anisotropy; ADHD, attention-deficit/hyperactivity disorder; UK, United Kingdom; GWAS, genome-wide association study; ICD-10, International Classification of Diseases, Tenth Revision; WHO, World Health Organization; DEALL, Developmental Assessment on an E-Platform for Language and Learning; WISC-IV, Wechsler Intelligence Scale for Children, Fourth Edition; SDQ, Strengths and Difficulties Questionnaire; COVID-19, coronavirus disease 2019.
| Organization | Age group | Recommendations |
|---|---|---|
| American Academy of Pediatrics (2016) [34] | <18 mo | No screen exposure except for video chatting. |
| 18–24 mo | Only high-quality content; must be coviewed with caregivers. | |
| 2–5 yr | Limit screen use to ≤1 hr/day; focus on high-quality programming and shared viewing. | |
| Indian Academy of Pediatrics (2022) [35] | <2 yr | Discourages any digital media exposure; highlights risk to language, attention, and socioemotional development. |
| 2–5 yr | Limit screen time to ≤1 hr/day of supervised, age-appropriate, high-quality content. | |
| World Health Organization (2019) [36] | <1 yr | No screen time recommended. |
| 2–4 yr | Screen time should be ≤1 hr/day, with less being better. |