Media Device Use and Vision Disorders in the Pediatric Age: The State of the Art
Abstract
:1. Introduction
2. Material and Methods
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- full-length articles or reviews;
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- on children and adolescents up to 18 years old;
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- reports dealing with media device consequences on the eye;
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- English language.
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- reports including adults (>18 years);
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- reports dealing with other themes.
3. Results
3.1. Myopia
3.1.1. DES (Digital Eye Strain)
3.1.2. Acute Acquired Comitant Esotropia
3.1.3. Data Analysis According to Group Age
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
SVT | Screen viewing time |
DES | Digital eye strain |
AACE | Acute acquired comitant esotropia |
SER | myopic spherical equivalent refraction |
AL | axial length |
References
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Domain | Author | Country | Age | Main Findings |
---|---|---|---|---|
Myopia | Trovato Battagliola E, 2023 [12] | Italy (Europe) | 5–12 years | Out of 803 children, statistically significant decrease in the mean spherical equivalent refraction (p = 0.005) and an increase (p = 0.016) in the percentage of myopes after COVID-19 confinement were described. The percentage of hyperopes decreased (p = 0.001) compared to previous years. Children aged 8–12 years were the most severely affected. |
Myopia | Foreman J 2021 [14] | Australia | 3–16 years | Screen exposure was associated with increased risks of developing myopia. |
Myopia | Wong CWW 2021 [15] | China (Asia) | Less than 18 years | Increased digital screen time and limited outdoor activities were found to be associated with the onset and progression of myopia, aggravated during and beyond the COVID-19 pandemic outbreak period. |
Myopia | Harrington SC, 2019 [16] | Ireland (Europe) | 6–7 and 12–13 years | Out of 1626 participants, myopia prevalence was higher in adolescents aged 12–13 years and in the case of screen use for more than hours a day (p < 0.001). |
Myopia | Hansen MH, 2019 [17] | Belgium (Europe) | 16–17 years | Out of 1435 participants, the use of screen devices >6 h/day was associated with increased OR for myopia compared with screen device use <2 h/day in both weekdays (OR = 1.95, CI 95% 1.16–3.30, p = 0.012) and weekends (OR = 2.10, CI 95% 1.17–3.77, p = 0.013). |
Myopia | Enthoven CA, 2020 [18] | Netherlands (Europe) | 3–9 years | Out of 5.074 children, computer time use correlates with myopia (OR = 1.005, 95% CI = 1.001–1.009). |
Myopia | Harrington S, 2023 [19] | Ireland (Europe) | 6–7 years | Out of 723 students, a daily screen time of more than 2 h correlates with myopia (SER < 0.5) and pre-myopia (SER > −0.50 D to ≤+0.75 D). It is associated with increased myopic spherical equivalent (p < 0.001)], refractive astigmatism (p = 0.01), axial length/corneal radius (p < 0.001), and a reduced corneal radius (p = 0.02). |
Myopia | Liu S, 2019 [20] | China (Asia) | 6–14 years | Out of 566 participants, a more myopic spherical equivalent refraction and a longer axial length were associated with more time on smartphones and computers, but not on tablets and television. The spherical equivalent refraction decreased by 0.28 D (p = 0.042) and 0.33 D (p = 0.018) for each 1 h increase in the time spent using smartphones and computers, respectively. A longer axial length was associated with more time spent using smartphones (p = 0.006) and computers (p = 0.002). |
Myopia | Terasaki H, 2017 [21] | Japan (Asia) | 8–9 years | Out of 122 students, the duration of computer and smartphone use was significantly correlated with longer axial length (r = 0.24, p = 0.008). |
Myopia | Guan H, 2019 [22] | China (Asia) | 9–11 years | In a sample size of 19.934 students, a greater refractive error links to more than 1 h a day on a computer (−0.025 LogMAR units, p = 0.011) and on a smartphone (−0.041 LogMAR units, p = 0.001), but not with television. |
Myopia | Liu J, 2021 [23] | China (Asia) | <18 years | Out of 3831 adolescents during the COVID-19 pandemic, any 1 h increase in daily digital screen use correlates with 1.26 OR [odds ratio] higher risks of myopic progression (p < 0.001). Smartphones and computers are associated with higher risks of myopic progression than television (OR = 2.02 and OR = 1.813, respectively) |
Myopia | Saxena R, 2015 [24] | India (Asia) | 5–15 years | Out of 9884 children, those watching television for more than 2 h a day and playing games by computer, video, or mobile devices were more at risk of myopia (p < 0.001). Myopia was more likely linked with studying in private schools rather than government ones. |
Myopia | Singh NK, 2019 [25] | India (Asia) | 5–15 years | In a sample size of 1234 children, myopia was more frequent in the case of those involved in games using computer, video, or mobile devices for more than 2 h a day (p < 0.001). |
Myopia | Yang GY, 2020 [26] | China (Asia) | 2–7 years | Out of 26,433 preschoolers, a statistically significant association was observed between initial screen exposure at 0–1 year old and myopia (adjusted PR 95% CI was 3.81 (2.00, 7.26). |
Myopia | Chang p, 2021 [27] | China (Asia) | 6–17 years | 29,719 participants. After the COVID-19 outbreak, spherical equivalent refraction significantly (p < 0.001) decreased; a significant increase in high myopia was found (p < 0.001). |
Myopia | Alvarez Peregrina C, 2021 [28] | Spain (Europe) | 5–7 years | During COVID-19 home confinement, there was a significant decrease in SER (p ≤ 0.001). |
Myopia | Wang W, 2021 [29] | China (Asia) | 6–18 years | Out of 3461 participants, during the COVID-19 period, the mean spherical equivalent refraction worsened compared to the previous year (p <0.001), mostly in the case of computer (−2.03 ± 2.37 D, p = 0.0017) and cell phone (−2.02 ± 2.09 D, p = 0.0028) use for online courses rather than television (−1.10 ± 1.49 D). |
Myopia | Mc Crann S, 2020 [30] | Ireland (Europe) | 10–18 years | 217 students (87 aged 10 to 12 years and 130 12 to 18 years) had an increased myopia risk correlated with smartphone usage. Myopic refractive error was significantly associated with increasing daily usage. |
Domain | Author | Country | Age | Main Findings |
---|---|---|---|---|
Digital eye strain | Bhattacharya S, 2022 [13] | India (Asia) | Less than 18 years old | Digital eye strain increased during the COVID-19 pandemic and correlates to the effect of digital screen on eyes |
Digital eye strain | Moon JH, 2016 [31] | Korea (Asia) | 7–12 years | In a sample size of 916 children, smartphone and computer use correlates to the prevalence of dry eye (p < 0.001). After the cessation of smartphone use for 4 weeks, both subjective symptoms and objective signs of the disease improved. Increased outdoor activity time reduced the rate of DES. The rate of DES was higher in urban than in rural children. |
Digital eye strain | Kim J, 2016 [32] | Korea (Asia) | Mean age 15 years | Out of 715 adolescents, higher prevalence rates for ocular symptoms were observed in those with greater exposure to smartphones, in particular inflammation (excessive/persistent use OR 1.88, 95% CI 1.12–3.16), lacrimation (excessive/intermittent use OR 1.96, 95% CI 1.22–3.14; excessive/persistent use OR 2.12, 95% CI 1.31–3.46), redness (OR 2.05, 95% CI 1.24–3.38), and lacrimation (intermediate exposure OR 1.92, 95% CI 1.21–3.05; higher exposure OR 1.95, 95% CI 1.22–3.12; extreme exposure OR 2.49, 95% CI 1.54–4.03). Prolonged daily smartphone use is linked with a higher risk of multiple ocular symptoms. |
Digital eye strain | Mohan A, 2021 [33] | India (Asia) | 13 ± 2.45 years (range 10–18) | In the COVID-19 era, among 217 participants, the mean duration of the use of digital devices was 3.9 ± 1.9 h, which was higher compared to the pre-pandemic period (1.9 ± 1.1 h, p = <0.0001); 36.9% used digital screens for more than 5 h as compared to 1.8% before the pandemic. Prevalence of DES was 50.23% (109/217). Multivariate analysis revealed that the use of a smartphone (p = 0.003), of a device longer than 5 h a day (p = 0.0007), and of mobile games longer than 1 h a day (p = 0.0001) should be considered risk factors. |
Digital eye strain | Mohan A, 2021 [34] | India (Asia) | 14.47 ± 1.95 years (range 10–17) | In the pandemic era, online lessons for more than 4 h a day represented a risk factor for the symptomatic convergence insufficiency symptoms, including exophoria, negative fusional vergence, negative relative accommodation, and accommodation amplitude. |
Digital eye strain | Mohan A, 2021 [35] | India (Asia) | 12.5 ± 4.2 years | During COVID-19, students with acute acquired comitant esotropia were attending online classes > 4 h per day on smartphones having an average size of 5.5 inches. |
Digital eye strain | Rechichi C, 2017 [36] | Italy (Europe) | 6.9 ± 2 years | Asthenopia (especially headache, eyelid tic, transient diplopia, and dizziness), heterophoria (22.5%), ametropic eyes (90.4%), astigmatism (58.5%), and absence of fine stereopsis, were statistically more frequent in children playing video games. |
Domain | Author | Country | Age | Main Findings |
---|---|---|---|---|
Acute acquired comitant esotropia | Mohan A, 2021 [35] | India | 12.5 ± 4.2 years (range 6–18 years) | During COVID-19, students with acute acquired comitant esotropia attended online classes > 4 h per day on smartphones having an average size of 5.5 inches. |
Acute acquired comitant esotropia | Hyo Seok Lee, 2016 [37] | South Korea | 13.33 ± 3.31 years (range 7–16 years) | Children with smartphone use of more than 4 h daily in 7 months were at high risk for acute acquired comitant esotropia. |
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Bozzola, E.; Irrera, M.; Hellmann, R.; Crugliano, S.; Fortunato, M. Media Device Use and Vision Disorders in the Pediatric Age: The State of the Art. Children 2024, 11, 1408. https://doi.org/10.3390/children11111408
Bozzola E, Irrera M, Hellmann R, Crugliano S, Fortunato M. Media Device Use and Vision Disorders in the Pediatric Age: The State of the Art. Children. 2024; 11(11):1408. https://doi.org/10.3390/children11111408
Chicago/Turabian StyleBozzola, Elena, Mariangela Irrera, Romie Hellmann, Salvatore Crugliano, and Michele Fortunato. 2024. "Media Device Use and Vision Disorders in the Pediatric Age: The State of the Art" Children 11, no. 11: 1408. https://doi.org/10.3390/children11111408
APA StyleBozzola, E., Irrera, M., Hellmann, R., Crugliano, S., & Fortunato, M. (2024). Media Device Use and Vision Disorders in the Pediatric Age: The State of the Art. Children, 11(11), 1408. https://doi.org/10.3390/children11111408