Author |
Study title |
Study type |
Country of study |
Age of the study population |
Sample size |
Study results |
Wang W et al. [12] |
Survey on the progression of myopia in children and adolescents in Chongqing during COVID-19 |
Cross-sectional |
China |
Students from grades one to six in primary school, grades one to two in junior school, and grades one to two in high school |
1,728 in 2019, 1,733 in 2020 |
The percentage of myopia in 2020 was 10.40% higher than in 2019. The SE in 2020 (−1.94 ± 2.13 D) after the home quarantine was higher than in 2019 (−1.64 ± 5.49 D). Students using computers and mobile phones for digital learning during the pandemic had worse UCVA and SE than children using other digital devices. |
Cai T et al. [13] |
A complex interplay between COVID-19 lockdown and myopic progression |
Cross-sectional |
China |
N/A |
115 |
Refractive error increased from 0.20 D to 0.45 D during the three-month home quarantine. A 35% faster progression was seen in the monthly axial length growth rate during the pandemic. Myopia progressed by ⅓ times or 33.33%, which can be attributed to increased screen time and decreased outdoor activities during home confinement. |
Mohan A et al. [17] |
The impact of online classes and home confinement on myopia progression in children during COVID-19 pandemic: digital eye strain among kids(DESK) study 4 |
Cross-sectional |
India |
6-18 years |
133 |
Mean SE during the COVID-19 pandemic was -5.12 +/- 2.70 D and -4.54 +/- 2.70 D before the pandemic. History of rapid myopia progression, <1 h/day of sun exposure, and >1 h/day of video games and mobile phones were identified as possible risk factors for myopia progression during the COVID-19 pandemic. |
Liu J et al. [1] |
Examining risk factors related to digital learning and social isolation: youth visual acuity in COVID-19 pandemic |
Cross-sectional |
China |
Primary, secondary, and university in China |
3918 |
The average digital use during the pandemic was 3.91 h/day (which is more than the WHO recommendation). Myopia symptoms increased with every one-hour increase in digital device use. |
Yao Y et al. [18] |
Distribution, progression, and associated factors of refractive status of children in Lhasa, Tibet, after COVID-19 quarantine |
Cross-sectional |
Tibet |
7.9 +/- 0.5 years |
1819 |
When compared to pre-COVID times, the proportion of myopia progressed by 7.0% among the children in Tibet. |
Xu L et al. [14] |
COVID-19 quarantine reveals that behavioral changes affect myopia progression |
Cross-sectional |
China |
7-18 years |
1001749 |
Six-month myopia progression among the study subjects increased around 1.5 times from pre-COVID-19 times. Myopia progression was positively associated with increased screen time and negatively associated with outdoor activity. |
Ma M et al. [15] |
COVID-19 home quarantine accelerated the progression of myopia in children aged 7 to 12 years in China |
Cross-sectional |
China |
7-12 years |
201 |
The increase in myopia progression during the COVID-19 quarantine was three times higher than the baseline myopia progression. Myopia progression was associated with increased screen use during the home quarantine. |
Aslan F et al. [3] |
The effect of home education on myopia progression in children during the COVID-19 pandemic |
Cross-sectional |
Turkey |
8-17 years |
115 |
Annual progression analysis revealed a higher myopic progression in 2020 (after the COVID-19 quarantine) than in 2019 and 2018 (before COVID-19). |
Ma D et al. [16] |
Progression of myopia in a natural cohort of Chinese children during the COVID-19 pandemic |
Cohort |
China |
8-10 years |
Study group - 208 Control group-83 |
The mean myopia progression before the pandemic was -0.3 D which increased to -0.9D during the pandemic. |
Zhang X et al. [19] |
Myopia incidence and lifestyle changes among school children during the COVID-19 pandemic: a population-based prospective study |
Cohort |
Hong-Kong |
6-8 years |
Study group - 709 Control group - 1084 |
In the pre-COVID-19 cohort, the estimated annual incidence of myopia was 11.63%, which is less than the COVID-19 cohort (29.68% ). |