Analysis of myopia and its influencing factors among students in Liaoning Province

GAO Qing; LIU Yi-qing; YE Qian-wen; WANG Hong-wei; XU Pin-liang; WU Ming

doi:10.16462/j.cnki.zhjbkz.2021.02.019

Volume 25 Issue 2

Feb. 2021

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GAO Qing, LIU Yi-qing, YE Qian-wen, WANG Hong-wei, XU Pin-liang, WU Ming. Analysis of myopia and its influencing factors among students in Liaoning Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(2): 222-226. doi: 10.16462/j.cnki.zhjbkz.2021.02.019

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GAO Qing, LIU Yi-qing, YE Qian-wen, WANG Hong-wei, XU Pin-liang, WU Ming. Analysis of myopia and its influencing factors among students in Liaoning Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(2): 222-226. doi: 10.16462/j.cnki.zhjbkz.2021.02.019

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Analysis of myopia and its influencing factors among students in Liaoning Province

doi: 10.16462/j.cnki.zhjbkz.2021.02.019

School Health Department of Liaoning Center for Disease Control and Prevention, Shenyang 110005, China

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Corresponding author: WU Ming, E-mail: 470374526@qq.com
Received Date: 2020-05-29
Rev Recd Date: 2020-08-07
Publish Date: 2021-02-10

Abstract

Abstract

Objective To investigate the myopia of students in Liaoning Province in 2019 and analyze its influencing factors, so as to provide scientific basis for further formulating the strategy and the measure of preventing and curing the myopic students. Methods Students from 14 cities in Liaoning Province were selected by multi-stage stratified random cluster sampling, and their long-range vision, refractive examination and questionnaire survey were conducted. Logistic regression analysis was conducted to explore the influencing factors of myopic students. Results The myopic rate of students in Liaoning Province was 53.17%. Multiple Logistic regression analysis showed that the main factors affecting myopic rate were economic classification, urban and rural division, gender, school type, whether living in school, seat exchange, eye exercise, whether outdoor activities meeting the standard and whether existing excessive video-time (all P < 0.05). Among them, the reduction of myopic rate was related to the good economic level (OR=0.802, 95% CI: 0.751-0.855), gender (OR=0.663, 95% CI: 0.635-0.692), senior grade (junior high school OR=0.337, 95% CI: 0.358-0.398; high school OR=0.182, 95% CI: 0.170-0.196; vocational high school OR=0.392, 95% CI: 0.351-0.438), not living in school (OR=0.771, 95% CI: 0.716-0.830), changing seats at least once a month (OR=0.801, 95% CI: 0.739-0.868) and doing eye exercises at least twice a day (OR=0.922, 95% CI: 0.850-0.998), but the medium economic level (OR=1.215, 95% CI: 1.115-1.323), the suburb county area (OR=1.134, 95% CI: 1.083-1.187), substandard outdoor activities (OR=1.069, 95% CI: 1.014-1.128) and too much screen time (OR=1.221, 95% CI: 1.166-1.280) were related to the myopic rate increase. Conclusions The incidence of myopia among students in Liaoning Province was relatively high and the situation of prevention and control was severe. We should take effective measures such as changing students' habit of using eyes, strengthening physical exercise and so on, multi-ways joint prevention and control means to diminish the occurrence of students' myopia.
- Myopia rate,
- Risk factors,
- Students

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References(20)

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