Current status of poor vision and its trend of increasing velocity among primary and middle school students in Jilin City
ZHOU Ge1, WU Fang-yuan1, LIU Mei-tian1, QIAN Xiao-bo2, ZHANG Xiu-min1, LIU Hong-jian1
1. School of Public Health, Jilin University, Changchun, Jilin 130021, China; 2. Jilin Provincial Health Education Center, Changchun, Jilin 130062, China
Abstract：Objective To analyze the prevalence of poor vision and create curve models of increasing velocity with age for poor vision and its various degrees of detection rate among primary and middle school students in Jilin City, and to provide a scientific basis for formulating poor vision prevention and control strategies. Methods Multi-stage stratified cluster random sampling method was used to select 9,676 primary and middle school students in Chuanying District, Fengman District, Jiaohe City and Yongji County in April-May, 2015. Visual acuity examinations and questionnaire surveys were conducted, and the detection rate of poor vision was analyzed. Curve fitting method was used to get the models of increasing velocity for poor vision and its various degrees, and the changing regularity of increasing velocity of the prevalence in urban-rural and male-female students was analyzed. Results The detection rate of poor vision in the primary and middle school students in Jilin City was 77.9%, and the detection rates of mild, moderate and severe poor vision were 12.1%, 17.4% and 48.5% respectively. Multivariate logistic regression analysis showed that there were statistically significant differences in the prevalence of poor vision and its various degrees between genders as well as between urban and rural students (all P<0.05). The models of increasing velocity for poor vision and its various degrees showed a parabola-like shape of increasing velocity of the prevalence of poor vision in urban-rural and male-female students, and a cross phenomenon during early school-age and the latter puberty period. The age peak of increasing velocity of the prevalence of poor vision became earlier. The curve model of increasing velocity for mild poor vision had a negative growth between the ages of 7 and 15 years old, while an increasing tendency was observed in urban female, rural male and rural female in the latter puberty period. The curve model of increasing velocity for moderate poor vision showed a U-like shape, and it had a negative increase between the ages of 10 and 15 years old. The curve model of increasing velocity for severe poor vision showed a downward trend as a whole, but it was increased rapidly in early school-age and had a cross phenomenon in puberty period. Conclusions The prevalence of poor vision among the primary and secondary school students in Jilin City significantly increases with age. The age peak of increasing velocity of the prevalence continually becomes earlier, and shows a tendency toward younger age. Poor vision prevention and control should focus on early school-age students and preschoolers.
周歌, 吴方园, 刘美田, 钱晓波, 张秀敏, 刘红箭. 吉林市中小学生视力不良现状及增长速度趋势分析[J]. 实用预防医学, 2019, 26(1): 36-41.
ZHOU Ge, WU Fang-yuan, LIU Mei-tian, QIAN Xiao-bo, ZHANG Xiu-min, LIU Hong-jian. Current status of poor vision and its trend of increasing velocity among primary and middle school students in Jilin City. , 2019, 26(1): 36-41.
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2019, Vol. 26 
