Does screen time in classrooms cause short-sightedness?

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1. 1

   The association between screen time exposure and myopia in children and adolescents: a meta-analysis

   BMC Public Health (Zong et al.)Published Jun 18, 2024Checked Oct 13, 2026

   “We searched 7,571 records from three databases and identified 19 eligible studies, including 14 high-quality studies and 5 moderate-quality studies. Meta-analyses suggested that there was a statistically significant correlation between screen time (high vs. low) and myopia. The pooled ORs with 95%CIs were respectively 2.24 (1.47-3.42) for cross-sectional studies, and 2.39 (2.07-2.76) for cohort studies. We also found a significant association between continuous exposure to screen time (per 1 h/d increase) and myopia in cohort studies. The pooled ORs with 95%CIs were 1.07 (1.01-1.13). In subgroup analysis stratified by screen device type in cross-sectional studies, screen time exposures from computers (categorical: OR = 8.19, 95%CI: 4.78-14.04; continuous: OR = 1.22, 95%CI: 1.10-1.35) and televisions (categorical: OR = 1.46, 95%CI: 1.02-2.10) were associated with myopia, while smartphones were not. Our findings support that screen time exposure was significantly associated with myopia in children and adolescents. Notably, screen time exposure from computers may have the most significant impact on myopia.”

2. 2

   Screen Time and Myopia-Related Outcomes in European Children: A Systematic Review.

   Vision (Basel, Switzerland) (Khalid et al.)Published Jul 13, 2026Checked Oct 13, 2026

   “Overall, the evidence suggested an association between screen-related behaviours, prolonged near work, reduced outdoor exposure and myopia-related outcomes in European children. However, findings were heterogeneous, and screen exposure was often measured using broad or proxy variables, including total screen time, smartphone use, internet data consumption, computer use, handheld near-screen use and COVID-19-related lifestyle change. Outdoor activity appeared to be a protective factor, while parental myopia was an important risk factor and confounder. Most included studies were observational, many were cross-sectional, and several relied on self- or parent-reported exposure measures, limiting causal inference and introducing potential recall bias. Overall, the certainty of evidence was low to very low. Practical advice should therefore be framed around balanced digital device use, regular breaks from prolonged near work, appropriate viewing distances and increased outdoor activity, while further longitudinal studies using objective screen-use measures, cycloplegic refraction and axial length outcomes are needed to clarify causality.”

3. 3

   Childhood myopia in the modern environment: modifiable risk factors and evidence-based prevention.

   International journal of ophthalmology (Tariq et al.)Published Sep 18, 2026Checked Oct 13, 2026

   “Reduced outdoor activity, excessive near-work and screen exposure, urban residence, insufficient sleep, and gene-environment interaction are major risk factors for childhood myopia. Daily outdoor activity of 1-2h or longer confers protective effects via promoting retinal dopamine release and inhibiting axial elongation, whereas prolonged close work and excessive screen time notably elevate myopia risk. Optimizing outdoor time, regulating ocular use habits, ensuring sufficient sleep, and implementing school-based interventions are core evidence-based preventive measures, and wearable devices and objective biomarkers can facilitate behavioral management and intervention evaluation. In conclusion, childhood myopia is influenced by multiple adjustable factors; increased outdoor exposure is the most effective preventive measure, and combined behavioral and policy interventions are essential to curb the global prevalence of childhood myopia and prevent subsequent severe visual complications.”

4. 4

   Cut screen time in classrooms to avoid long-term health issues, clinicians urge

   BBC NewsPublished Oct 13, 2026Checked Oct 13, 2026

   “A group of clinicians warns technology use in English schools is driving a rise in health problems like short-sightedness.”

5. 5

   The Relationship between Screen Time and Myopia in Children: A Narrative Review

   INTERNATIONAL JOURNAL OF CLINICAL SCIENCE AND MEDICAL RESEARCH (Sharkiya et al.)Published Dec 11, 2024Checked Oct 13, 2026

   “Seven longitudinal studies conducted in various countries met the eligibility criteria. Four studies investigated the prevalence, incidence, and progression of myopia before and after the COVID-19 pandemic. Before the pandemic, it was considered a non-exposure period. In contrast, during the pandemic, it was considered an exposure period because students were learning using digital devices, and due to home confinement, they spent more time on screen. The four studies found that the prevalence, incidence, and myopia progression increased significantly during the pandemic compared to before the pandemic. The other three studies were conducted long before the pandemic. They also revealed that ST was a significant predictor of myopia in children. All seven longitudinal studies revealed a significant association between ST and myopia development among children. Therefore, policies should be formulated to increase public awareness amongst parents regarding ST regulation for children”

6. 6

   Beyond Screen Time: A Measurement Framework for Behavioral Exposures in Childhood Myopia.

   Life (Basel, Switzerland) (Park et al.)Published Jul 16, 2026Checked Oct 13, 2026

   “Sleep and circadian timing remain biologically plausible, albeit lower-certainty modifiers. Digital device metrics are best interpreted as contextual measurement markers that can recover timing, bout structure, task context, substitution, and adherence, rather than as standalone causal surrogates (stand-ins for a true cause). The proposed framework prioritizes direct measurement of outdoor light, near work intensity, sleep/circadian timing, and axial-growth outcomes, using device-related behavior only when it clarifies daily exposure patterns. This is a narrative review of previously described behavioral factors; it does not identify new risk factors or propose a novel causal model. For measurement, it groups these behaviors by how they occur together across a single day and separates substitution, mediation, interaction, and temporal clustering as distinct estimands (the specific quantities to be estimated). Its purpose is to improve exposure measurement and hypothesis testing, not to establish digital device use, sleep timing, or clustered routines as independent causal risk factors.”