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Does screen time cause short-sightedness in children?

More daily screen time is linked to higher odds of myopia in children, but the evidence is observational and cannot prove screens cause it.

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Covers: This page reviews what research shows about the link between screen time and myopia in children, including observational studies, systematic reviews and trials. It does not cover treatment options for myopia or general screen-time guidance unrelated to eyesight.

Also answers: What is the evidence on screen time and short-sightedness in children? · Is screen time bad for children's eyes? · Does screen time cause myopia in kids? · Screen time and short-sightedness in children

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The short answer

Evidence-backed AI-prepared starting map

Across the largest syntheses, more daily screen time is associated with higher odds of myopia in children, but the evidence is observational and the exposure measures are weak. A dose-response meta-analysis of 45 studies (335,524 participants, mean age 9.3 years) found each additional hour of daily screen time associated with 21% higher odds of myopia (OR 1.21, 95% CI 1.13-1.30), rising from OR 1.05 at 1 hour/day to OR 1.97 at 4 hours/day, with risk climbing steeply between 1 and 4 hours and more gradually after. An earlier meta-analysis of 19 studies reported OR 2.24 (1.47-3.42) for high versus low screen time in cross-sectional studies and OR 2.39 (2.07-2.76) in cohort studies, plus OR 1.07 (1.01-1.13) per additional hour/day in cohorts. A Lancet Digital Health review found smart device screen time alone (OR 1.26, 1.00-1.60) and combined with computer use (OR 1.77, 1.28-2.45) associated with myopia. One systematic review of 15 studies (59,775 participants) found no significant association.1234

What this rests on6 independent sources
  • Evidence 16
  • Interpretation 2

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In brief

  1. Pooled observational evidence links more daily screen time to higher odds of myopia: about 21% higher odds per extra hour per day, rising from roughly OR 1.05 at 1 hour to OR 1.97 at 4 hours.1

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  2. Other syntheses report larger associations (OR 2.24-2.39 for high versus low screen time; OR 1.26-1.77 for smart device and computer use), but one review of 15 studies found no significant association, so the literature is not unanimous.234

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  3. Screen exposure was measured by questionnaire in every study in the largest review, and certainty of evidence is rated low to very low, so these figures cannot be read as proof that screens cause myopia.35

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  4. Outdoor time of 1-2 hours or more per day is the factor most consistently described as protective, and it is the measure the reviews emphasise most strongly.65

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At a glance

The picture in numbers

Live · updated just now

Dose-response meta-analysis of 45 studies, 335,524 children

21%

21 in every 100

of the increase in odds of myopia per extra hour of daily screen time1
Pooled 335,524 children, mean age 9.3 years

45 studies

studies in the largest dose-response meta-analysis1

The evidence behind it

6 sources
  • Reviews of many studies4
  • Other studies and data2

When it was published

Newest from 2026

20212026
Sources on this page by kind and year
SourceKindYear
Childhood myopia in the modern environment: modifiable risk factors and evidence-based prevention.Other studies and data2026
Screen Time and Myopia-Related Outcomes in European Children: A Systematic Review.Reviews of many studies2026
The association between screen time exposure and myopia in children and adolescents: a meta-analysisReviews of many studies2024
Association between digital smart device use and myopia: a systematic review and meta-analysisReviews of many studies2021
Digital Screen Time and MyopiaOther studies and data2025
Prevalence of Myopia Among Schoolchildren and the Impact of Increased Screen Time: A Systematic ReviewReviews of many studies2024

The community around it

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What it means for you

Which fits you?

Pick the situation closest to yours. Each answer says what it rests on.

If you are deciding how much to worry about a child's screen time

treat the association as real but unproven as a cause: the pooled odds ratios are consistent across several syntheses, yet every large review rates the underlying evidence low certainty because exposure is self-reported and near work, outdoor time and parental myopia are entangled with it.153

Interpretation

If you want one change with the strongest support behind it

the reviews point to outdoor time of 1-2 hours or more per day as the most effective preventive measure, described as acting through retinal dopamine release and inhibition of axial elongation.6

Evidence-backed

If you are setting household screen habits

the reviews frame advice around balanced device use, regular breaks from prolonged near work, appropriate viewing distances and more outdoor activity, rather than a single screen-time limit.5

Evidence-backed

If you are weighing which devices to limit first

one meta-analysis found the largest association for computer exposure and a smaller one for television, with smartphones not significantly associated in cross-sectional subgroup analysis, but this device pattern comes from a single synthesis and should not be treated as settled.2

Evidence-backed

If you have a family history of myopia

parental myopia is described as an important risk factor and confounder, so a child's own risk is not determined by screen habits alone.5

Evidence-backed

If you are reading a headline that gives a single screen-time number

check what was measured: in the largest review every study used questionnaires for screen exposure, 21% did not objectively measure myopia and 27% did not adjust for confounders.3

Evidence-backed

The full story · 3 chapters

01

What the pooled estimates show

AI summary:Pooled meta-analyses link each extra hour of daily screen time to higher myopia odds, though one review found no significant association.

Evidence-backed

Evidence-backed: The largest dose-response meta-analysis pooled 45 studies and 335,524 children (mean age 9.3 years). Each extra hour of daily screen time was associated with 21% higher odds of myopia (OR 1.21, 95% CI 1.13-1.30). In the nonlinear analysis of 34 studies (314,910 participants), odds rose from 1.05 (1.01-1.09) at 1 hour/day to 1.97 (1.56-2.40) at 4 hours/day; the curve was sigmoidal, increasing markedly between 1 and 4 hours and then more gradually. The authors describe a potential safety threshold of under 1 hour per day.1

Evidence-backed

Evidence-backed: An earlier meta-analysis of 19 studies (14 rated high quality, 5 moderate) found high versus low screen time associated with myopia in both cross-sectional studies (OR 2.24, 95% CI 1.47-3.42) and cohort studies (OR 2.39, 2.07-2.76), and a smaller but significant association per 1 hour/day increase in cohorts (OR 1.07, 1.01-1.13). In device-specific subgroup analysis of cross-sectional studies, computer exposure showed the largest association (categorical OR 8.19, 4.78-14.04; continuous OR 1.22, 1.10-1.35) and television a smaller one (OR 1.46, 1.02-2.10), while smartphones were not significantly associated.2

Evidence-backed

Evidence-backed: The Lancet Digital Health review screened 3,325 articles, included 33 in the systematic review and 11 in the meta-analysis. Smart device screen time alone was associated with myopia (OR 1.26, 95% CI 1.00-1.60, I²=77%) and smart device plus computer use more strongly (OR 1.77, 1.28-2.45, I²=87%). Associations with prevalent or incident myopia, increased myopic spherical equivalent, or longer axial length were reported in 5 of 10 category one articles and 6 of 10 category two articles.3

Evidence-backed

Evidence-backed: Not all syntheses agree. A systematic review of 15 studies covering 59,775 participants in China, Singapore and the United States concluded that the evidence overall did not support a significant association between screen time and myopia in school children and young adults, and its authors describe the evidence as conflicting and the association as not fully understood.4

02

Screen time sits alongside outdoor time and near work

AI summary:Reviews place screen time alongside near work and outdoor time, with outdoor activity the most consistently protective factor.

Evidence-backed

Evidence-backed: A review of modifiable risk factors identifies reduced outdoor activity, excessive near work and screen exposure, urban residence, insufficient sleep and gene-environment interaction as major risk factors for childhood myopia. It reports that 1-2 hours or more of daily outdoor activity is protective, acting through retinal dopamine release and inhibition of axial elongation, while prolonged close work and excessive screen time notably raise risk. It concludes that increased outdoor exposure is the most effective preventive measure and that combined behavioural and policy interventions are needed.6

Evidence-backed

Evidence-backed: The European systematic review reached a similar split: screen-related behaviours and prolonged near work were associated with myopia-related outcomes, outdoor activity appeared protective, and parental myopia was an important risk factor and confounder. Because screen time, near work and outdoor time are entangled in the same children, the review frames practical advice around balanced device use, regular breaks from prolonged near work, appropriate viewing distances and more outdoor activity rather than around a screen-time number alone.5

03

What would settle the question

AI summary:Reviews call for longitudinal studies with objective screen measures and cycloplegic refraction to clarify the question.

Interpretation

Interpretation: Both the European review and the Lancet Digital Health review call for longitudinal studies using objective screen-use measures together with cycloplegic refraction and axial length outcomes, which would separate true exposure from recall and separate refractive error from eyeball growth. The modifiable-risk-factor review points to wearable devices and objective biomarkers as ways to manage behaviour and evaluate interventions. Until such studies exist, the reported odds ratios describe who tends to be myopic, not what screen time does to a child's eyes.536

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What to remember

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  1. Pooled observational evidence links more daily screen time to higher odds of myopia: about higher odds per extra hour per day, rising from roughly OR 1.05 at 1 hour to OR 1.97 at 4 hours.

  2. Other syntheses report larger associations (OR 2.24-2.39 for high versus low screen time; OR 1.26-1.77 for smart device and computer use), but one review of studies found no significant association, so the literature is not unanimous.

  3. Outdoor time of hours or more per day is the factor most consistently described as protective, and it is the measure the reviews emphasise most strongly.

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Teacher instructing children at tables in a classroomUp nextDoes screen time in classrooms cause short-sightedness?Does screen time in classrooms cause short-sightedness (myopia) in children?

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  1. 1
    Digital Screen Time and Myopia
    JAMA Network Open (Ha et al.)Published Feb 21, 2025Checked Oct 13, 2026
    “In the linear DRMA of 45 studies with 335 524 participants (mean [SD] age, 9.3 [4.3] years), an additional hour of daily screen time was associated with higher odds of myopia (odds ratio [OR], 1.21; 95% CI, 1.13-1.30). The nonlinear DRMA of 34 studies with 314 910 participants also indicated higher odds of myopia with increasing screen time, ranging from 1 hour of daily exposure (OR, 1.05; 95% CI, 1.01-1.09) to 4 hours (OR, 1.97; 95% CI, 1.56-2.40). The dose-response curve showed myopia risk increasing significantly between 1 to 4 hours of daily screen time, and then rising more gradually after 4 hours. Conclusions and Relevance: In this systematic review and DRMA, a daily 1-hour increment in digital screen time was associated with 21% higher odds of myopia and the dose-response pattern exhibited a sigmoidal shape, indicating a potential safety threshold of less than 1 hour per day of exposure, with an increase in odds up to 4 hours. These findings can offer guidance to clinicians and researchers regarding myopia risk.”
  2. 2
    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.”
  3. 3
    Association between digital smart device use and myopia: a systematic review and meta-analysis
    The Lancet Digital Health (Foreman et al.)Published Oct 6, 2021Checked Oct 13, 2026
    “3325 articles were identified, of which 33 were included in the systematic review and 11 were included in the meta-analysis. Four (40%) of ten category one articles, eight (80%) of ten category two articles, and all 13 category three articles used objective measures to identify myopia (refraction), whereas the remaining studies used questionnaires to identify myopia. Screen exposure was measured by use of questionnaires in all studies, with one also measuring device-recorded network data consumption. Associations between screen exposure and prevalent or incident myopia, an increased myopic spherical equivalent, and longer axial length were reported in five (50%) category one and six (60%) category two articles. Smart device screen time alone (OR 1·26 [95% CI 1·00–1·60]; I 2 =77%) or in combination with computer use (1·77 [1·28–2·45]; I 2 =87%) was significantly associated with myopia. The most common sources of risk of bias were that all 33 studies did not include reliable measures of screen time, seven (21%) did not objectively measure myopia, and nine (27%) did not identify or adjust for confounders in the analysis.”
  4. 4
    Prevalence of Myopia Among Schoolchildren and the Impact of Increased Screen Time: A Systematic Review
    Cureus (Khalaf et al.)Published Aug 13, 2024Checked Oct 13, 2026
    “Studies reporting an association between myopia and time spent in front of screens in children and young adults were considered eligible. The initial search yielded a total of 1,251 studies. After eliminating duplicates and reviewing the titles and abstracts, 64 full-text articles were evaluated for eligibility. Ultimately, 15 of these studies were included in the final analysis. The 15 studies involved a total of 59,775 participants and were conducted in various countries, including China, Singapore, and the United States. Overall, the evidence did not support a significant association between screen time and myopia in school children and young adults. There is conflicting evidence on the link between screen time and myopia in children and adolescents. More research is needed to determine whether or not digital screen use is a risk factor for myopia. The complex association between screen time and myopia is not fully understood at this time because of the variability of the included studies. These results have significant public health implications since they may be used to guide recommendations for screen time use in children and the young population.”
  5. 5
    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.”
  6. 6
    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.”

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  • Does screen time itself drive myopia, or does it mainly mark children who spend less time outdoors and more time on near work?

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  • How large is the association when screen exposure is measured by device logs rather than by parent or child recall?

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  • Why do computers show a larger association than smartphones in some analyses, and does viewing distance or duration explain it?

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  • Is there a real safety threshold below 1 hour of daily screen time, and does it hold in longitudinal or intervention data?

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  • Do the associations differ by age, region, urban versus rural residence, or school policies?

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