Your new experience awaits. Try the new design now and help us make it even better

SYSTEMATIC REVIEW article

Front. Public Health, 11 June 2025

Sec. Children and Health

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1615033

Meta-analysis of the effects of physical activity on ocular biometrics in children and adolescents

  • 1Nantong Institute of Technology, Nantong, China
  • 2Department of Physical Education, Kunsan National University, Gunsan-si, Republic of Korea
  • 3Beijing Sport University, Beijing, China

Introduction: Physical activity is recognized as an effective strategy for preventing myopia and cardiovascular diseases in children and adolescents; however, its impact on ocular biological parameters in this population remains poorly understood. This study systematically evaluates the effects of physical activity on ocular parameters in children and adolescents, aiming to provide a theoretical foundation for myopia and cardiovascular disease prevention.

Methods: The study was registered on PROSPERO (CRD4202454649). A comprehensive search of electronic databases—Web of Science, Embase, Cochrane Library, and PubMed—was conducted from their inception through April 2025. Two reviewers independently performed literature screening, data extraction, and risk-of-bias assessments using predefined inclusion/exclusion criteria. Methodological quality was evaluated using the PEDro and NOS scales, and outcomes were analyzed via network meta-analysis in RevMan 5.3.

Results: Fourteen studies [8 randomized controlled trials (RCTs), 3 cross-sectional studies, 2 non-randomized controlled trials (NRCTs), and 1 cohort study] involving 12,548 participants aged 6–26 years were included. Meta-analysis revealed that physical activity significantly improved KVA (MD = 0.23, 95% CI = 0.18–0.29, p < 0.001), enhanced UDVA (MD = 0.2, 95% CI = 0.08–0.32, p < 0.001), delayed axial length (AL) progression (MD = 0.2, 95% CI = 0.08–0.32, p < 0.001), suppressed spherical equivalent refraction (SER) progression (MD = 0.2, 95% CI = 0.08–0.32, p < 0.001), reduced central retinal venular equivalent (CRVE) (MD = −2.50, 95% CI = −4.86 to −0.13, p = 0.04), and narrowed central retinal arteriolar equivalent (CRAE) (MD = −2.50, 95% CI = −4.86 to −0.13, p = 0.04). Physical activity demonstrably enhances dynamic and uncorrected distance vision, attenuates SER progression, and positively influences retinal vascular parameters.

Conclusion: Regular physical activity effectively slows myopia development and progression in children and adolescents while contributing to the prevention of cardiovascular diseases.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024546449.

1 Introduction

Eye health represents a global public health priority, influencing not only individual well-being but also sustainable development and social equity (1). By 2050, the global myopic population is projected to reach 4.758 billion (49.8% of the global population), with 938 million individuals (9.8%) expected to have high myopia-a significant increase in prevalence from 2000 to 2050 (2). Recent epidemiological studies highlight pronounced geographic disparities in childhood myopia prevalence, with notably elevated rates in East Asian populations (3). While Asia’s prevalence surpasses that of Africa, Europe, and the Americas, regions such as Western Europe, Northern Europe, and the United States have also reported rising myopia rates and a declining age of onset (4, 5). Myopia progression in childhood typically continues through adolescence, exacerbating risks of ocular pathologies such as glaucoma, cataracts, and retinal detachment, which can impair educational and economic opportunities and increase healthcare burdens (6, 7).

Key ocular biometric parameters in pediatric populations include kinetic visual acuity (KVA), uncorrected distance visual acuity (UDVA), axial length (AL), central retinal arteriolar equivalent (CRAE), central retinal venular equivalent (CRVE), arteriolar-to-venular ratio (AVR), and spherical equivalent refraction (SER). KVA and UDVA assess ciliary muscle function (56, 62), with KVA offering predictive value for UDVA (8, 61). AL is a critical determinant of refractive status (9), while CRAE and CRVE serve as early markers of microvascular dysfunction (10). Reduced AVR is associated with hypertension-related morbidity and cardiovascular mortality (11). Myopia is commonly quantified using spherical equivalent refraction (SER), with a cutoff of ≤ − 0.50 diopters (D) indicating myopia (12, 13).

Physical activity —defined as skeletal muscle-driven movement—protects visual function through mechanisms such as improved ciliary muscle accommodation (57) and transient reductions in AL (67). Despite World Health Organization (WHO) recommendations of ≥60 min of daily physical activity for youth, 80% globally fail to meet this threshold (14, 60). Exercise modalities like cycling, walking, and jogging reduce intraocular pressure (IOP) (1517), while moderate-intensity physical activity attenuates IOP and AL progression (67). Cross-sectional studies further link aerobic training to increased CRAE and reduced CRVE, suggesting enhanced retinal microvascular health (18, 19).

As a non-pharmacological intervention, physical activity enhances neurological and cardiovascular function, underscoring its potential for myopia (64) and cardiovascular disease prevention. A prior systematic review (20) postulated that physical activity exerts beneficial effects on central retinal arteriolar and venular equivalents (CRAE, CRVE). However, the included studies exhibited notable limitations, including insufficient empirical data on other ocular biometric parameters (KVA, UDVA, AL, SER) as well as a lack of systematic exploration and comprehensive evaluation of the associations between these parameters and physical activity. To address this critical gap, the present investigation employs a rigorous systematic review and meta-analysis to synthesize empirical evidence on the multifaceted impacts of physical activity across six ocular biometric markers: KVA, UDVA, AL, SER, CRAE, and CRVE. By elucidating the multidimensional mechanisms through which physical activity contributes to myopia prevention and cardiovascular health promotion in children and adolescents, this work provides a more robust evidentiary foundation and lays the theoretical groundwork for the formulation of public health intervention strategies.

2 Materials and methods

This review was conducted and reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (21) and registered prospectively with PROSPERO (CRD42024546449).

2.1 Search strategy

Two investigators independently searched Web of Science, PubMed, Embase, and the Cochrane Library from database inception through April 22, 2025, covering all available literature. Search terms included Boolean combinations of keywords such as (“sport” OR “exercise” OR “physical activity”) AND (“vision” OR “ocular” OR “myopia” OR “nearsightedness”) (Refer to the Supplementary material). To establish the pertinent terminology, keywords were curated from high-caliber empirical studies and comprehensive literature reviews evaluating the effects of physical activity on ocular biophysical parameters (20, 22, 23). Manual screening of titles, abstracts, and full texts identified 51 studies for inclusion.

2.2 Eligibility and study selection

The PICOS (Population, Intervention, Comparison, Outcomes, Study design) framework guided inclusion criteria: (1) Participants aged around 6 to 18 years old; (2) Physical activity or outdoor interventions; (3) Activity-based interventions vs. non-intervention controls; (4) KVA, UDVA, AL, SER, CRAE, or CRVE; (5) Study design: Observational, cohort, randomized, or non-randomized trials. Exclusions included non-English articles, reviews, animal studies, adult/disease-specific cohorts, and studies lacking analyzable data.

2.3 Data screening and extraction

Two reviewers independently screened literature and extracted data following predefined protocols. Discrepancies were resolved through consultation with a third reviewer. Extracted data included study characteristics (author, year, design), participant demographics (age, sample size), intervention details (duration, outcomes, instruments), and outcome metrics (means, SDs, SEs).

2.4 Assessment of study quality

RCTs and non-RCTs were evaluated using the 11-item PEDro scale (54, 58, 63) (scores 0–10), with scores ≥6 indicating high quality, 4–5 moderate, and ≤3 low quality (24). Cohort and cross-sectional studies were assessed via the Newcastle-Ottawa Scale (NOS) (59), which assigns up to 9 stars across selection (4 stars), comparability (2 stars), and outcome (3 stars) domains. Two reviewers independently conducted assessments, with disagreements resolved by a third investigator.

2.5 Data analysis

Analyses were conducted using RevMan 5.3. Mean differences (MD) with 95% confidence intervals (CI) were calculated. Heterogeneity was assessed via the Q test and I2 statistic (I2 < 25% = low; I2 = 50% = moderate). Fixed- or random-effects models were applied based on I2 thresholds (55). Sensitivity analyses excluded individual studies to assess robustness. Publication bias was not evaluated due to limited study counts (<10 per outcome) (25).

3 Results

3.1 Flowchart and findings of literature selection

We identified 2,076 records from five databases and 51 additional sources. After removing 380 duplicates using EndNote X9, 1,747 articles remained for screening. Initial title and abstract screening identified 28 potentially eligible studies, of which 14 were retained following full-text review (10, 13, 18, 22, 23, 2634). The included studies comprised 3 cross-sectional analyses, 1 prospective cohort study, 8 randomized controlled trials (RCTs), and 2 non-randomized controlled trials (NRCTs). The studies assessed the following endpoints: kinetic visual acuity (KVA), uncorrected distance visual acuity (UDVA), axial length (AL), spherical equivalent refraction (SER), central retinal arteriolar equivalent (CRAE), and central retinal venular equivalent (CRVE). Figure 1 outlines the search strategy and study selection process.

Figure 1
www.frontiersin.org

Figure 1. Screening of studies for inclusion.

3.2 Characteristics of included studies

This network meta-analysis included 14 studies published between 2008 and 2023. The pooled sample comprised 12,548 children and adolescents. Study characteristics are summarized in Tables 1, 2. By region, seven studies were conducted in mainland China, two in Taiwan, two in Australia, and one each in Germany, Switzerland, and Denmark. Interventions included four outdoor activities (e.g., rope skipping, badminton). Other interventions comprised sports-based games, physical education classes, kinetic visual sports (with cognitive tasks), home-based exercises, and lifestyle education programmes. The interventions lasted from 2 weeks to 3 years, were delivered 3–7 times per week, and consisted of 30-60 min sessions. Furthermore, physical activity influenced multiple ocular biomarkers, including kinetic visual acuity (KVA), uncorrected distance visual acuity (UDVA), axial length (AL), spherical equivalent refraction (SER), arteriole-venule ratio (AVR), central retinal arteriolar equivalent (CRAE), central retinal venular equivalent (CRVE), refractive error (RE), intraocular pressure (IOP), and eyestrain. Of these biomarkers, seven studies measured axial length, five examined spherical equivalent refraction, three investigated the impact on kinetic and uncorrected distance visual acuity, and three assessed effects on central retinal arteriolar and venular equivalents. Additionally, two studies assessed refractive error and arteriole-venule ratio, and one evaluated changes in intraocular pressure and eyestrain following physical activity. By design, eight were randomized controlled trials, two were non-randomized controlled trials, three were cross-sectional studies, and one was a prospective cohort study.

Table 1
www.frontiersin.org

Table 1. Descriptive characteristics of included studies.

Table 2
www.frontiersin.org

Table 2. Descriptive characteristics of included studies.

3.3 Assessment of methodological quality

Quality appraisal was conducted using the Physiotherapy Evidence Database (PEDro) and the Newcastle-Ottawa Scale (NOS); the PEDro scores are shown in Table 3 and the NOS scores in Table 4. All studies scored at least six points on the PEDro scale, with randomized controlled trials averaging seven points, indicating robust methodological quality. Prospective cohort and cross-sectional studies achieved NOS scores ranging from six to nine stars; the NOS classification defines 0–3 stars as low quality, 4–6 as moderate, and 7–9 as high quality (65). The mean NOS score was eight stars, denoting excellent study quality.

Table 3
www.frontiersin.org

Table 3. Summary of methodological quality of the included studies according to the PEDro scale (n = 11).

Table 4
www.frontiersin.org

Table 4. The methodological quality of cohort studies and cross-sectional studies included in the research is summarized according to the NOS (Newcastle-Ottawa Scale) assessment scale (n = 4).

3.4 Results of the meta-analysis

3.4.1 Impact of physical activity on KVA

Three studies examined the impact of physical activity interventions on kinetic visual acuity (KVA) among 399 participants aged 9–11. As shown in Figure 2, physical activity interventions resulted in a significant improvement in KVA within the experimental cohort (MD = 0.23, 95% CI = 0.18–0.29, p < 0.001; I2 = 32%).

Figure 2
www.frontiersin.org

Figure 2. Impact of physical activity on KVA.

3.4.2 Impact of physical activity on UDVA

Three trials evaluated uncorrected distance visual acuity (UDVA). Given that KVA partially predicts UDVA, physical activity interventions significantly improved UDVA (22). Figure 3 demonstrates that physical activity improved UDVA in the intervention group (MD = 0.2, 95% CI = 0.08–0.32, p < 0.001; I2 = 60%). To explore the sources of heterogeneity, sensitivity analysis was performed on the included studies, and each single study was excluded in turn (MD = 0.26, 95% CI = 0.17–0.35, I2 = 0%, p < 0.001; Figure 4).

Figure 3
www.frontiersin.org

Figure 3. Impact of physical activity on UDVA.

Figure 4
www.frontiersin.org

Figure 4. Sensitivity analysis.

3.4.3 Impact of physical activity on AL

Three trials assessed the effects of physical activity on axial length (AL) progression. Figure 5 indicates that sustained outdoor physical activity slowed AL elongation in youth (MD = 0.08, 95% CI = 0.04–0.12, p = 0.0001; I2 = 0%).

Figure 5
www.frontiersin.org

Figure 5. Impact of physical activity on AL.

3.4.4 Impact of physical activity on SER

Four trials investigated the effects of physical activity on spherical equivalent refraction (SER), all featuring intervention durations ≥1 year and focusing on outdoor exercise protocols. As illustrated in Figure 6, outdoor physical activity significantly slowed SER progression and reduced myopia incidence (MD = −0.15, 95% CI = −0.23 to −0.06, p = 0.0007; I2 = 0%).

Figure 6
www.frontiersin.org

Figure 6. Impact of physical activity on SER.

3.4.5 Impact of physical activity on CRVE and CRAE

Two cross-sectional studies investigated central retinal venular/arteriolar equivalents (CRVE/CRAE). Figure 7 shows physical activity was associated with reduced CRVE (MD = −2.50, 95% CI = −4.86 to −0.13, p = 0.04; I2 = 0%), while Figure 8 indicates increased CRAE diameters (MD = −2.99, 95% CI = −5.01 to −0.96, p = 0.004; I2 = −36%).

Figure 7
www.frontiersin.org

Figure 7. Impact of physical activity on CRVE.

Figure 8
www.frontiersin.org

Figure 8. Impact of physical activity on CRAE.

In a secondary analysis of 432 children aged 10–11, 18-month physical activity interventions resulted in significant arteriole-to-venule ratio (AVR) improvements in 83% of participants (mean increase: 0.88 ± 0.06 to 0.91 ± 0.06) and reduced CRVE dilation (p = 0.019) (10). Cross-sectional data associated increased outdoor time with higher mean SER in 12-year-olds (p = 0.003), though this trend was nonsignificant in 6-year-olds (p = 0.09) (13). physical activity levels were inversely associated with myopia severity (p = 0.015). Additionally, physical activity interventions reduced eyestrain severity in 896 adolescents aged 12–13 (MD = −0.15, 95% CI = −0.26 to −0.03, p = 0.02).

4 Discussion

Eye health constitutes a critical component of sustainable human development and universal health coverage, as visual acuity undergoes rapid postnatal development with age-specific patterns: UDVA exhibits a critical developmental window before age 6 and typically reaches full maturation by approximately 8 years of age (1). During ocular development and biometric changes throughout childhood and adolescence, this phase is particularly vulnerable; prolonged screen exposure, insufficient exercise, and reduced outdoor time may precipitate myopia onset, which progresses with age and accelerates markedly between 7 and 12 years (22, 35). Without timely intervention, myopia progression accumulates, increasing the likelihood of high-degree and pathological myopia, while visual impairment is itself associated with elevated cardiovascular and systemic health risks (36). We selected kinetic visual acuity (KVA), uncorrected distance visual acuity (UDVA), axial length (AL), spherical equivalent refraction (SER), CRAE, and CRVE as endpoints, as these metrics serve as comprehensive and objective biomarkers of ocular health and visual function. To address this, we conducted a systematic review and meta-analysis to evaluate how physical activity and outdoor interventions influence myopia prevention and retinal microvascular outcomes in children and adolescents.

Meta-analysis results demonstrate that structured physical activity interventions significantly improve both KVA and UDVA among young participants. These findings align with prior meta-analytic evidence (20) showing that exercise positively influences ocular biometrics in children and adolescents. Notably, our review highlights the integration of visual-cognitive tasks into school-based physical education-leveraging the structured, sustained framework of school PE-to effectively prevent and decelerate myopia progression in youth. Kinetic visual acuity, the ability to perceive details of objects moving backward and forward toward the eye, relies greatly on the ciliary muscle and is closely linked to its regulation (22, 66). The perception of moving objects is primarily dependent on the accommodative function of the ciliary muscle. Myopia development frequently coincides with impaired or dysregulated ciliary muscle accommodative function (23). Research indicates that specific accommodation exercises enhance ciliary muscle contractions and relaxations, thereby improving ocular perfusion and retinal image resolution. Following accommodation training, myopic patients exhibit enhanced positive relative accommodation (PRA), accommodative responsiveness, and precision-factors strongly associated with myopia improvement (37). Given that both targeted ciliary training and integrated visual-cognitive tasks during exercise incorporate distance-shifting mechanisms (67), specialized exercise regimens may substitute traditional accommodation training, enhancing ciliary muscle responsiveness, driving favorable biometric changes, and preserving vision (33). In pediatric and adolescent populations, exercise represents the most effective method for ciliary muscle conditioning (22). Following the integration of visual-cognitive components, both open- and closed-skill exercises significantly improve KVA and UDVA among youth, with dynamic acuity positively correlating with static acuity and KVA acting as a mediator-thereby facilitating UDVA improvement (38).

The analysis further revealed that outdoor activity interventions significantly inhibit axial length (AL) elongation, thus preventing myopia onset and progression in young populations. Research on the light-dopamine mechanism confirms the protective effects of outdoor light: intense illumination stimulates dopamine secretion, which suppresses AL growth, mitigating myopia onset and progression, whereas even low-intensity light in dim environments can inhibit myopia (39). Exposure to two hours of daily outdoor sunlight significantly reduces the risk of form-deprivation myopia and prevents myopia onset (40). Additionally, evidence indicates that light quality parameters (e.g., intensity, wavelength, distribution) differentially influence myopia development and progression. Modulation of illumination intensity, spectral composition, and distribution patterns represents an effective strategy to prevent and control myopia (41). In animal models, non-uniform illumination induces visual fatigue, leading to form deprivation, pronounced myopic shifts, and AL elongation, which promote myopia development (42). Evidence suggests that intermittent high-intensity illumination is more effective than continuous exposure in suppressing myopia progression (43). The study emphasizes the critical role of light regimens in myopia prevention, proposing that intermittent lighting enhances dopamine secretion and positively modulates ocular biometrics. Outdoor exercise naturally provides intermittent high-intensity illumination, corroborating its efficacy in protecting against myopia among youth.

Using CRAE and CRVE as endpoints, we found that physical activity interventions significantly improved retinal arterial and venular calibers. These parameters are recognized early biomarkers of microvascular dysfunction (10) and may evaluate cardiovascular risk in children and adolescents (44). Research indicates that altered retinal microvasculature (characterized by arteriolar narrowing and venular widening) is associated with cardiovascular disease risk (45). Nonetheless, the mode and intensity of physical activity interventions differentially influence CRAE and CRVE, with children who engage in greater outdoor activity and higher-intensity exercise exhibiting increased arteriolar caliber (26). The mechanism may involve exercise-induced enhancement of endothelial function (46), in which increased blood flow elevates shear stress, enhances nitric oxide synthesis, and improves endothelium-mediated vasodilation (47, 48). Thus, the association between outdoor activity and arteriolar enlargement suggests microvascular structural adaptation and modulation of endothelial dysfunction (49). In contrast, greater endurance capacity in children is associated with reduced venular caliber (18). Systemic inflammatory processes contribute to microvascular impairment in children, and the anti-inflammatory effects of exercise likely underpin the favorable relationship between endurance and venular narrowing (50). Among pediatric subjects, endurance activities may constrict retinal venules via anti-inflammatory pathways, distinct from endothelium-mediated arteriolar responses (51). In pediatric populations, increased CRVE is associated with elevated hypertension risk (52), suggesting that higher endurance capacity could mitigate cardiovascular risk and improve retinal microvascular integrity.

This study also has some limitations and shortcomings: (1) Although this study includes fourteen studies encompassing randomized controlled trials, non-randomized controlled trials, cross-sectional studies, and cohort studies, the small number of each type of study hinders the interpretation of heterogeneity and publication bias. (2) The significant differences in the forms and dosages of physical activity interventions (such as types of exercise, intensity, frequency, etc.) may affect the accuracy of the combined effect. (3) The physical activities included range from short-term live home exercises to medium to long-term outdoor running, jumping, and break activities, with durations varying from 2 weeks to 3 years; different types of physical activities may lead to content bias. (4) Nearly half of the included studies focus on mainland China and Taiwan, while other studies are distributed in Europe and Australia. There is still insufficient understanding of the relationship between vision and physical activity in non-East Asian or Western populations; cultural differences and variations in outdoor activity styles may affect the generalizability of the results. These shortcomings need further exploration and resolution in future research.

5 Conclusion

Our systematic review found that physical activity interventions positively influence six ocular biometric parameters: keratometric values (KVA), axial length (AL), uncorrected distance visual acuity (UDVA), spherical equivalent refraction (SER), central retinal arteriolar equivalent (CRAE), and central retinal venular equivalent (CRVE). Regular physical activity may help prevent the onset of myopia in children and adolescents, slow its progression, and contribute to favorable remodeling of the retinal microvasculature, thereby reducing future cardiovascular risk. Further research is needed to investigate the differential effects of various types of physical activity on specific ocular biometric indicators and to conduct long-term follow-up studies to confirm these positive impacts on visual health in pediatric populations.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.

Author contributions

PN: Methodology, Visualization, Data curation, Software, Conceptualization, Writing – original draft, Writing – review & editing. TF: Software, Project administration, Data curation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Acknowledgments

We thank Dr. Shiwei Yuan (Wuhan Sports University) for stimulating discussions and for providing project support.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2025.1615033/full#supplementary-material

References

1. Burton, MJ, Ramke, J, Marques, AP, Bourne, RRA, Congdon, N, Jones, I, et al. The lancet Global Health Commission on global eye health: vision beyond 2020. Lancet Glob Health. (2021) 9:e489–551. doi: 10.1016/S2214-109X(20)30488-5

PubMed Abstract | Crossref Full Text | Google Scholar

2. Holden, BA, Fricke, TR, Wilson, DA, Jong, M, Naidoo, KS, Sankaridurg, P, et al. Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050. Ophthalmology. (2016) 123:1036–42. doi: 10.1016/j.ophtha.2016.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

3. Ding, BY, Shih, YF, Lin, LLK, Hsiao, CK, and Wang, IJ. Myopia among schoolchildren in East Asia and Singapore. Surv Ophthalmol. (2017) 62:677–97. doi: 10.1016/j.survophthal.2017.03.006

PubMed Abstract | Crossref Full Text | Google Scholar

4. Galvis, V, Tello, A, and Parra, MM. Increasing prevalence of myopia in Europe and the impact of education. Ophthalmology. (2016) 122:1489–97.

Google Scholar

5. Jones, LA, Sinnott, LT, Mutti, DO, Mitchell, GL, Moeschberger, ML, and Zadnik, K. Parental history of myopia, sports and outdoor activities, and future myopia. Invest Ophthalmol Vis Sci. (2007) 48:3524–32. doi: 10.1167/iovs.06-1118

PubMed Abstract | Crossref Full Text | Google Scholar

6. Chua, SYL, Sabanayagam, C, Cheung, YB, Chia, A, Valenzuela, RK, Tan, D, et al. Age of onset of myopia predicts risk of high myopia in later childhood in myopic Singapore children. Ophthalmic Physiol Opt. (2016) 36:388–94. doi: 10.1111/opo.12305

PubMed Abstract | Crossref Full Text | Google Scholar

7. Holden, B, Sankaridurg, P, Smith, E, Aller, T, Jong, M, and He, M. Myopia, an underrated global challenge to vision: where the current data takes us on myopia control. Eye. (2014) 28:142–6. doi: 10.1038/eye.2013.256

PubMed Abstract | Crossref Full Text | Google Scholar

8. Sun, L, Cai, G, Yin, RB, Pan, JL, Wang, GX, Chen, G, et al. (2018). Correlation of static visual acuity and kinetic visual acuity in children and its implication to physical Activity. Chin Rehabil Theory Pract. 24:1485–8.

Google Scholar

9. Drexler, W, Findl, O, Schmetterer, L, Hitzenberger, CK, and Fercher, AF. Eye elongation during accommodation in humans: differences between emmetropes and myopes. SPIE Milestone Series. (1998) 39:2140–7. Available online at: https://pubmed.ncbi.nlm.nih.gov/9761293/

Google Scholar

10. Siegrist, M, Hanssen, H, Lammel, C, Haller, B, Koch, AM, Stemp, P, et al. Effects of a cluster-randomized school-based prevention program on physical activity and microvascular function (JuvenTUM 3). Atherosclerosis. (2018) 278:73–81. doi: 10.1016/j.atherosclerosis.2018.09.003

PubMed Abstract | Crossref Full Text | Google Scholar

11. Wang, JJ, Liew, G, Klein, R, Rochtchina, E, Knudtson, MD, Klein, BEK, et al. Retinal vessel diameter and cardiovascular mortality: Pooled data analysis from two older populations. Eur. Heart J. (2007) 28:1984–92

Google Scholar

12. Mei, Z, Zhang, Y, Jiang, W, Lam, C, Luo, S, Cai, C, et al. Efficacy of outdoor interventions for myopia in children and adolescents: a systematic review and meta-analysis of randomized controlled trials. Front Public Health. (2024) 12:1452567. doi: 10.3389/fpubh.2024.1452567

PubMed Abstract | Crossref Full Text | Google Scholar

13. Rose, KA, Morgan, IG, Ip, J, Kifley, A, Huynh, S, Smith, W, et al. Outdoor activity reduces the prevalence of myopia in children. Ophthalmology. (2008) 115:1279–85. doi: 10.1016/j.ophtha.2007.12.019

PubMed Abstract | Crossref Full Text | Google Scholar

14. Strong, WB, Malina, RM, Blimkie, CJ, Daniels, SR, Dishman, RK, Gutin, B, et al. Evidence based physical Activity for school-age youth. J Pediatr. (2005) 146:732–7. doi: 10.1016/j.jpeds.2005.01.055

PubMed Abstract | Crossref Full Text | Google Scholar

15. Hamilton-Maxwell, KE, and Feeney, LJJog. Walking for a short distance at a brisk pace reduces intraocular pressure by a clinically significant amount. J Glaucoma. (2012) 21:421–5. doi: 10.1097/IJG.0b013e31821826d0

PubMed Abstract | Crossref Full Text | Google Scholar

16. Karabatakis, V, Natsis, K, Chatzi, TE, Lake, S, Bisbas, I, Kallinderis, K, et al. Correlating intraocular pressure, blood pressure, and heart rate changes after jogging (2004) 14:117–22. doi: 10.1177/112067210401400206

Crossref Full Text | Google Scholar

17. Ozmerdivenli, R, Simsek, E, Bulut, S, Karacabey, K, and Saygin, OJIjon. Comparison of the effects of acute and regular exercise on intraocular pressure in Turkish athlete and sedentarians. Int J Neurosci. (2006) 116:351–60. doi: 10.1080/00207450500442288

PubMed Abstract | Crossref Full Text | Google Scholar

18. Imhof, K, Zahner, L, Schmidt-Trucksass, A, Faude, O, and Hanssen, H. Influence of physical fitness and activity behavior on retinal vessel diameters in primary schoolchildren. Scand J Med Sci Sports. (2016) 26:731–8. doi: 10.1111/sms.12499

PubMed Abstract | Crossref Full Text | Google Scholar

19. Ludyga, S, Kochli, S, Puhse, U, Gerber, M, and Hanssen, H. Effects of a school-based physical activity program on retinal microcirculation and cognitive function in adolescents. J Sci Med Sport. (2019) 22:672–6. doi: 10.1016/j.jsams.2018.11.029

PubMed Abstract | Crossref Full Text | Google Scholar

20. Dastamooz, S, Yam, JC, Tham, CCY, Wong, SHS, Farahani, MHD, Xueting, K, et al. The effects of physical activity on pediatric eyes: a systematic review and meta-analysis. Prev Med. (2024) 179:107845. doi: 10.1016/j.ypmed.2023.107845

PubMed Abstract | Crossref Full Text | Google Scholar

21. Moher, D, Liberati, A, Tetzlaff, J, and Altman, DGsurgeryP.G.J.I.j.o. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg. (2010) 8:336–41. doi: 10.1016/j.ijsu.2010.02.007

PubMed Abstract | Crossref Full Text | Google Scholar

22. Yin, R, Xu, J, Wang, H, Zhou, S, Zhang, M, and Cai, G. Effect of physical activity combined with extra ciliary-muscle training on visual acuity of children aged 10-11. Front Public Health. (2022) 10:949130. doi: 10.3389/fpubh.2022.949130

PubMed Abstract | Crossref Full Text | Google Scholar

23. Zhou, S, Zhang, M, Zheng, W, Yin, R, and Chen, G. Effects of physical activity combined with different visual target presentation durations of ciliary-muscle training on visual acuity in children. Front Public Health. (2023) 11:1191112. doi: 10.3389/fpubh.2023.1191112

PubMed Abstract | Crossref Full Text | Google Scholar

24. Armijo-Olivo, S, da Costa, BR, Cummings, GG, Ha, C, Fuentes, J, Saltaji, H, et al. PEDro or Cochrane to assess the quality of clinical trials? A meta-epidemiological study. PloS one. (2015) 10:e0132634. doi: 10.1371/journal.pone.0132634

Crossref Full Text | Google Scholar

25. Dalton, JE, Bolen, SD, and Mascha, EJ. Publication bias: the elephant in the review. Anesthesia and analgesia. (2016) 123:812–3.

Google Scholar

26. Gopinath, B, Baur, LA, Wang, JJ, Hardy, LL, Teber, E, Kifley, A, et al. Influence of physical activity and screen time on the retinal microvasculature in young children. Arterioscler Thromb Vasc Biol. (2011) 31:1233–9. doi: 10.1161/ATVBAHA.110.219451

PubMed Abstract | Crossref Full Text | Google Scholar

27. Guo, Y, Liu, L, Lv, Y, Tang, P, Feng, Y, Wu, M, et al. Outdoor jogging and myopia progression in school children from rural Beijing: the Beijing children eye study. Transl Vis Sci Technol. (2019) 8:2. doi: 10.1167/tvst.8.3.2

PubMed Abstract | Crossref Full Text | Google Scholar

28. He, M, Xiang, F, Zeng, Y, Mai, J, Chen, Q, Zhang, J, et al. Effect of time spent outdoors at school on the development of myopia among children in China: a randomized clinical trial. JAMA. (2015) 314:1142–8. doi: 10.1001/jama.2015.10803

PubMed Abstract | Crossref Full Text | Google Scholar

29. Jacobsen, N, Jensen, H, and Goldschmidt, E. Does the level of physical activity in university students influence development and progression of myopia? A 2-year prospective cohort study. Invest Ophthalmol Vis Sci. (2008) 49:1322–7. doi: 10.1167/iovs.07-1144

PubMed Abstract | Crossref Full Text | Google Scholar

30. Jin, JX, Hua, WJ, Jiang, X, Wu, XY, Yang, JW, Gao, GP, et al. Effect of outdoor activity on myopia onset and progression in school-aged children in Northeast China: the Sujiatun eye care study. BMC Ophthalmol. (2015) 15:73. doi: 10.1186/s12886-015-0052-9

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wu, PC, Chen, CT, Lin, KK, Sun, CC, Kuo, CN, Huang, HM, et al. Myopia prevention and outdoor light intensity in a school-based cluster randomized trial. Ophthalmology. (2018) 125:1239–50. doi: 10.1016/j.ophtha.2017.12.011

PubMed Abstract | Crossref Full Text | Google Scholar

32. Wu, PC, Tsai, CL, Wu, HL, Yang, YH, and Kuo, HK. Outdoor activity during class recess reduces myopia onset and progression in school children. Ophthalmology. (2013) 120:1080–5. doi: 10.1016/j.ophtha.2012.11.009

PubMed Abstract | Crossref Full Text | Google Scholar

33. Yin, R, Zhu, G, Liu, A, Wang, M, Li, L, and Dai, S. The impact of additional visual tasks in physical exercise on balance ability among 9-10-year-old children: the mediating effect of visual acuity. Front Public Health. (2023) 11:1270947. doi: 10.3389/fpubh.2023.1270947

Crossref Full Text | Google Scholar

34. Zheng, Y, Wang, W, Zhong, Y, Wu, F, Zhu, Z, Tham, YC, et al. A peer-to-peer live-streaming intervention for children during COVID-19 homeschooling to promote physical Activity and reduce anxiety and eye strain: cluster randomized controlled trial. J Med Internet Res. (2021) 23:e24316. doi: 10.2196/24316

PubMed Abstract | Crossref Full Text | Google Scholar

35. Tricard, D, Marillet, S, Ingrand, P, Bullimore, MA, Bourne, RR, and Leveziel, NJBJoO. Progression of myopia in children and teenagers: a nationwide longitudinal study. Br J Ophthalmol. (2022) 106:1104. doi: 10.1136/bjophthalmol-2020-318256

PubMed Abstract | Crossref Full Text | Google Scholar

36. Crews, JE, Chou, C-F, Sekar, S, and Saaddine, JBJAJOO. The prevalence of chronic conditions and poor health among people with and without vision impairment, aged≥ 65 years, 2010–2014. Am J Ophthalmol. (2017) 182:18–30. doi: 10.1016/j.ajo.2017.06.038

PubMed Abstract | Crossref Full Text | Google Scholar

37. Yuda, K, Uozato, H, Hara, N, Tetzlaff, W, Hisahara, S, Horie, H, et al. Training regimen involving cyclic induction of pupil constriction during far accommodation improves visual acuity in myopic children. Clin Ophthalmol. (2010) 4:251–60. doi: 10.2147/opth.s9249

PubMed Abstract | Crossref Full Text | Google Scholar

38. Jin, G, Pan, JL, and Cai, G. Practical significance and empirical research of physical exercise on pupils' visual health. J Cap Inst Phys Educ. (2021) 33:40–8.

Google Scholar

39. Chen, S, Zhi, Z, Ruan, Q, Liu, Q, Li, F, Wan, F, et al. Bright light suppresses form-deprivation myopia development with activation of dopamine D1 receptor signaling in the ON pathway in retina. Investig Ophthalmol. (2017) 58:2306–16. doi: 10.1167/iovs.16-20402

Crossref Full Text | Google Scholar

40. Wu, PC, Tsai, CL, Hu, CH, and Yang, YH. (2010). Effects of outdoor activities on myopia among rural school children in Taiwan. Ophthalmic epidemiology. 17:338–342.

Google Scholar

41. Hye, O, Ji, S, and Rag, Y. Healthy, natural, efficient and tunable lighting. LSA. (2014) 3:e141. doi: 10.1038/lsa.2014.22

PubMed Abstract | Crossref Full Text | Google Scholar

42. Lin, Y, Liu, Y, Sun, Y, Zhu, X, Lai, J, and Heynderickx, I. Model predicting discomfort glare caused by LED road lights. Opt Express. (2014) 22:18056–71. doi: 10.1364/OE.22.018056

PubMed Abstract | Crossref Full Text | Google Scholar

43. Lan, W, Yang, Z, Feldkaemper, M, and Schaeffel, FJEer. Changes in dopamine and ZENK during suppression of myopia in chicks by intense illuminance. Exp Eye Res. (2016) 145:118. doi: 10.1016/j.exer.2015.11.018

PubMed Abstract | Crossref Full Text | Google Scholar

44. Boillot, A, Zoungas, S, Mitchell, P, Klein, R, Klein, B, Ikram, MK, et al. Obesity and the microvasculature. PloS one. (2013) 8:e52708. doi: 10.1371/journal.pone.0052708

Crossref Full Text | Google Scholar

45. Ikram, MK, de Jong, FJ, Vingerling, JR, Witteman, JC, Hofman, A, Breteler, MM, et al. Are retinal arteriolar or venular diameters associated with markers for cardiovascular disorders? The Rotterdam study. Investig. Ophthalmol. Visual Sci. (2004) 45:2129–34.

Google Scholar

46. Gokce, N, Vita, JA, Bader, DS, Sherman, DL, Hunter, LM, Holbrook, M, et al. Effect of exercise on upper and lower extremity endothelial function in patients with coronary artery disease. Am J Cardiol. (2002) 90:124–7. doi: 10.1016/S0002-9149(02)02433-5

PubMed Abstract | Crossref Full Text | Google Scholar

47. Laughlin, MH, and Joseph, B. Wolfe Memorial lecture. Physical activity in prevention and treatment of coronary disease: the battle line is in exercise vascular cell biology. Med Sci Sports Exercise. (2004) 36:352–62.

Google Scholar

48. Pahkala, K, Heinonen, OJ, Lagström, H, Hakala, P, Simell, O, Viikari, JS, et al. Vascular endothelial function and leisure-time physical activity in adolescents. Circulation. (2008) 118:2353–9.

Google Scholar

49. Nguyen, T.T., Islam, F.A., Farouque, H.O., Klein, R., Klein, B.E., et al. (2010). Retinal vascular caliber and brachial flow-mediated dilation.

Google Scholar

50. Hanssen, H, Nickel, T, Drexel, V, Hertel, G, Emslander, I, Sisic, Z, et al. Exercise-induced alterations of retinal vessel diameters and cardiovascular risk reduction in obesity. Atherosclerosis. (2011) 216:433–9. doi: 10.1016/j.atherosclerosis.2011.02.009

PubMed Abstract | Crossref Full Text | Google Scholar

51. Tikellis, G, Anuradha, S, Klein, R, and Wong, TYJM. Association between physical activity and retinal microvascular signs: the atherosclerosis risk in communities (ARIC) study. Microcirculation. (2010) 17:381–93. doi: 10.1111/j.1549-8719.2010.00033.x

PubMed Abstract | Crossref Full Text | Google Scholar

52. Li, L-J, Cheung, CY-L, Liu, Y, Chia, A, Selvaraj, P, Lin, X-Y, et al. Influence of blood pressure on retinal vascular caliber in young children. Ophthalmology. (2011) 118:1459. doi: 10.1016/j.ophtha.2010.12.007

PubMed Abstract | Crossref Full Text | Google Scholar

53. Pan, CW, Wu, RK, Liu, H, Li, J, and Zhong, H. Types of lamp for homework and myopia among Chinese school-aged children. Ophthalmic Epidemiol. (2018) 25:250–6. doi: 10.1080/09286586.2017.1420204

PubMed Abstract | Crossref Full Text | Google Scholar

54. CAPIO, C, SIT, C, ABERNETHY, B, ROTOR, E, and Neurology, C. Physical activity measurement instruments for children with cerebral palsy: a systematic review. Dev Med Child Neurol. (2010) 52:908–16. doi: 10.1111/j.1469-8749.2010.03737.x

PubMed Abstract | Crossref Full Text | Google Scholar

55. Cochran, WGJB. The combination of estimates from different experiments. Biometrics. (1954) 10:101–29. doi: 10.2307/3001666

Crossref Full Text | Google Scholar

56. Freeman, EE, Mun~oz, B, Turano, KA, and West, S. Dynamic measures of visual function and their relationship to self-report of visual functioning. Invest Ophthalmol Vis Sci. (2006) 47:4762–6. doi: 10.1167/iovs.06-0436

Crossref Full Text | Google Scholar

57. Gwiazda, J, Grice, K, and Thorn, F. Response AC/a ratios are elevated in myopic children. Ophthalmic & physiological optics: the journal of the British College of Ophthalmic Opticians (Optometrists). (1999) 19:173–9.

Google Scholar

58. Herbert, R, Moseley, A, and Sherrington, CJ. PEDro: a database of randomised controlled trials in physiotherapy. Health Inf Manag. (1998) 28:186–8. doi: 10.1177/183335839902800410

PubMed Abstract | Crossref Full Text | Google Scholar

59. Lo, CK-L, Mertz, D, and Loeb, MJBmrm. Newcastle-Ottawa scale: comparing reviewers’ to authors’ assessments. BMC Med Res Methodol. (2014) 14:3–5. doi: 10.1186/1471-2288-14-45

PubMed Abstract | Crossref Full Text | Google Scholar

60. World Health Organization (WHO). ACTIVE: A technical package for increasing physical activity [Internet]. Geneva: World Health Organization (2018) 8. Available online at: https://www.who.int/publications/i/item/9789241514804 (Accessed June 05, 2025).

Google Scholar

61. Palidis, DJ, Wyder-Hodge, PA, Fooken, J, and Spering, MJP. Distinct eye movement patterns enhance dynamic visual acuity. PLoS One. (2017) 12:e0172061. doi: 10.1371/journal.pone.0172061

PubMed Abstract | Crossref Full Text | Google Scholar

62. Quevedo-Junyent, L, Aznar-Casanova, JA, Merindano-Encina, D, Cardona, G, and Solé-Fortó, JJRQfE. Comparison of dynamic visual acuity between water polo players and sedentary students. Res Q Exerc Sport. (2011) 82:644–51. doi: 10.1080/02701367.2011.10599801

PubMed Abstract | Crossref Full Text | Google Scholar

63. Smania, N, Fonte, C, Picelli, A, Gandolfi, M, and Varalta, VJFiHN. Effect of eye patching in rehabilitation of hemispatial neglect. Front Hum Neurosci. (2013) 7:527. doi: 10.3389/fnhum.2013.00527

PubMed Abstract | Crossref Full Text | Google Scholar

64. Torii, H, Kurihara, T, Seko, Y, Negishi, K, Ohnuma, K, Inaba, T, et al. Violet light exposure can be a preventive strategy against myopia progression. EBioMedicine. (2017) 15:210–9. doi: 10.1016/j.ebiom.2016.12.007

PubMed Abstract | Crossref Full Text | Google Scholar

65. Wu, W, Tong, Y, Zhao, Q, Yu, G, Wei, X, and Lu, QJSr. Coffee consumption and bladder cancer: a meta-analysis of observational studies. Sci Rep. (2015) 5:9051. doi: 10.1038/srep09051

PubMed Abstract | Crossref Full Text | Google Scholar

66. Zask, A., Barnett, L.M., Rose, L., Brooks, L.O., Molyneux, M., Hughes, D., et al. (2012). Three year follow-up of an early childhood intervention: Is movement skill sustained? The international journal of behavioral nutrition and physical activity. (2012) 9:127.

Google Scholar

67. Read, SA, and Collins, MJ. The short-term influence of exercise on axial length and intraocular pressure. Eye (Lond). (2011) 25:767–74. doi: 10.2307/3001666

Google Scholar

Keywords: physical activity, eye health, children, adolescents, meta-analysis, ocular biometrics, vision

Citation: Nie P and Feng T (2025) Meta-analysis of the effects of physical activity on ocular biometrics in children and adolescents. Front. Public Health. 13:1615033. doi: 10.3389/fpubh.2025.1615033

Received: 20 April 2025; Accepted: 27 May 2025;
Published: 11 June 2025.

Edited by:

Tim S. Nawrot, University of Hasselt, Belgium

Reviewed by:

Sheng Zhou, Suzhou City University, China
Cairui Li, Dali University, China

Copyright © 2025 Nie and Feng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Tong Feng, ZmVuZ3Rvbmc3MTNAb3V0bG9vay5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.