Abstract

Introduction: To investigates the impact of online study during COVID-19 on myopia in Chinese primary school students and to further analyze the influencing factors of myopia, so as to provide theoretical basis for prevention and control of myopia. Objectives: Cross-sectional study. A total of 905 primary school students from grade 1-6 in Guangzhou city were included in the study. Data were collected from uncorrected visual acuity (UCVA), non-cycloplegic photo refraction and an online questionnaire. Myopia was defined as visual acuity < 1.0 or spherical equivalent (SE) of ≤ − 0.50 diopters (D) in either eye. Chi-square and binary logistic regression analysis were applied to investigate the prevalence of myopia for different groups and potential risk factors on myopia. Results: A total of 905 students were evaluated. The mean (standard deviation) age was 9.7(±1.82) years. 699 students were identified to have myopic refractive error making the prevalence of 77.2% ([95% confidence interval (CI): 75.5%–80.0%]; myopia prevalence significantly increased with grade level, from 61.9% (95% CI: 54.0%–69.8%) at grade 1 to 84.0% (95% CI: 80.5%–90.1%) at grade 6. Low myopia (-3.0 D≤ SE ≤ -0.50 D) was account for 83.5% (95% CI: 80.3%–86.3%) among the myopia group, with the mean (standard deviation) SE (-1.32±0.66) D. Compared with children without myopia, the dry symptoms were more serious in myopic students (81.8% vs. 25.2%, χ<sup>2</sup> = 5.811, P = 0.016). Moreover, myopia prevalence significantly differences among different exposure natural light level (χ<sup>2</sup> = 8.382, P = 0.039). Binary logistic regression analysis showed children who spent more time on online-study or had higher grade level had a higher risk of myopia (OR: 1.147, 95% CI: 1.044–1.259; OR: 1.147, 95% CI: 1.044-1.259). Conclusions: The prevalence of myopia in primary school students from grade 1 to grade 6 in Guangzhou city is higher than previous study conducted in Guangzhou after the online-study during COVID-19. Myopia was significantly positively associated with higher grade, spending a less time outdoors; notably, playing with electronics had the greatest influence on the risk of myopia.

Highlights

  • To investigates the impact of online study during COVID-19 on myopia in Chinese primary school students and to further analyze the influencing factors of myopia, so as to provide theoretical basis for prevention and control of myopia

  • A total of 905 school students, ages ranging from 6-13 years old, were recruited in this cross-sectional survey, which investigated the prevalence of myopia and its associated risk factors in children attending primary schools from grades 1 to 6 in Tianhe district, Guangzhou city, China

  • The mean refractive error was −1.39 (±1.35) D, and the overall prevalence of myopia was 77.2%

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Summary

Introduction

To investigates the impact of online study during COVID-19 on myopia in Chinese primary school students and to further analyze the influencing factors of myopia, so as to provide theoretical basis for prevention and control of myopia. Binary logistic regression analysis showed children who spent more time on online-study or had higher grade level had a higher risk of myopia (OR: 1.147, 95% CI: 1.044–1.259; OR: 1.147, 95% CI: 1.044-1.259). Conclusions: The prevalence of myopia in primary school students from grade 1 to grade 6 in Guangzhou city is higher than previous study conducted in Guangzhou after the online-study during COVID-19. In the past few decades, myopia is a recognized public health concern worldwide It is progressive and a significant major cause of visual impairment, including glaucoma, diseases of the ocular fundus, and eve blindness [1]. Fangyuan Chen et al.: Prevalence of Myopia and Associated Risk Factors Among Primary Students in the Period of Online Study During COVID-19: A Cross-Sectional Study in Guangzhou myopia [3]. Many environmental risk factors for schoolchildren, such as family history [8], ethnicity [9], living environment [10], near vision tasks [8], outdoor activity [8], obesity [10], socioeconomic status [10] and poor sleep quality [11], were demonstrated in previous studies

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