Objective:To analyze the change of low,middle and high myopia prevalence rate and its influencing factors among senior 3 students of different genders in Beijing from 2009 to 2018,and to provide evidence for improving the prevention and control strategy of myopia among adolescents in Beijing.Methods:The distribution and changing characteristics of myopia rate were described according to sex,region and age The general additive model and Lasso regression were used to compare the development trend of high myopia rate in different regions and analyze the influencing factors.Results:From 2009 to 2018,the myopia rate of senior 3 students in Beijing increased from 67.19%to 77.66%.The low myopia rate decreased from 32.85%in 2009 to 28.19%in 2018.The moderate and high myopia rates increased from 30.26%and 4.13%in 2009 to 40.06%and 9.51%in 2018,respectively.The rates of low,moderate and high myopia in girls were higher than those in boys(P＜0.05).The low-grade myopia in the core region was only higher than in the non-core region in few years(P＜0.01).The 18-year-old group had higher rates of moderate myopia in the core region before 2015 than in the non-core region after 2017(P＜0.01).The 19-year-old group had higher rates of moderate myopia in the core region before 2013 and in 2015 than in the non-core region(P＜0.01),with no difference after 2016(P＞0.05).The rate of high myopia in the core area was higher than that in the non-core area in the age group of 18 years and over(P＜0.01).The area is the influence factor of high myopia rate.Conclusions:From 2009 to 2018,the myopia rate and degree of myopia of senior 3 students in Beijing are showing a increasingtrend.Girls are more likely to be myopic than boys;there is little regional difference in low myopia rates,while the rate of moderate myopia in non-core regions is rising faster than in core regions after 2016,or no difference with core regions,the high myopia rate increased year by year in all regions,and the students in the core region were more likely to be short-sighted than those in the non-core region.
维普
万方数据