Table 2 Summary of characteristics of studies including the effect of watching TV on the prevalence of myopia in children
From: Global prevalence of myopia in children using digital devices: a systematic review and meta-analysis
First Author`s Name | Year | Country | Age range (Mean ± SD) | Sample size | Number of myopias among children in both eyes | Myopia prevalence in children | Time spent for digital devices (Mean ± SD) | Activity P-value | Screen time for Nearsightedness |
|---|---|---|---|---|---|---|---|---|---|
Lu et al. [38] | 2009 | China | 10–19 (14.6 ± 0.8) | 998 | 829 | 81% | 14.2 ± 7.4 (h/week) | 0.16 | Watching TV |
Mutti et al. [39] | 2002 | USA | 13–14 (13.7 ± 0.5) | 366 | 67 | 18.3% | 9.2 ± 6.8 (h/week) | - | Watching TV |
Saxena et al. [42] | 2015 | India | 5–15 (11.6 ± 2.2) | 9884 | 1297 | 13.1% | > 14 (h/week) | < 0.001 | Watching TV |
Paudel et al. [43] | 2014 | Vietnam | 12–15 | 2238 | 456 | 20.4% | 11.9 ± 6.6 (h/week) | 0.129 | Watching TV |
Liu et al. [46] | 2019 | China | 6–14 (9.5 ± 2.1) | 566 | 335 | 59.2% | 0.56 ± 0.56 (h/day) | 0.32 | Watching TV |
Lanca C et al. [50] | 2021 | China | 4–18 (8.8 ± 2.9) | 12,241 | …. | 30.6% | 2.12 ± 1.35 (h/day) | 0.49 | Watching TV |