Discriminante analysis of risk factors Nomograms of myopia in children and adolescents in Yunnan Province
10.16835/j.cnki.1000-9817.2023.09.024
- VernacularTitle:云南省儿童青少年近视危险因素列线图判别分析
- Author:
ZHANG Jinjiao, CHANG Litao, XIAO Jie, LI Peiqian, XIE Xueni, MA Zixue, LI Xixi, LUO Xiao, CHEN Maosen, HUANG Ying
1
Author Information
1. School of Public Health, Kunming Medical University, Kunming (650500) , China
- Publication Type:Journal Article
- Keywords:
Myopia;
Risk factors;
Nomograms;
Regression analysis;
Child;
Adolescent
- From:
Chinese Journal of School Health
2023;44(9):1387-1391
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the related factors of myopia among children and adolescents in Yunnan Province, and to predict and evaluate the influencing factors, so as to provide a scientific theoretical basis for the prevention and control of myopia.
Methods:From March 9 to 14, 2023, 848 students from 6 primary and secondary schools in Dali and Lijiang of Yunnan Province were selected by multi stage stratified random cluster sampling method for visual acuity detection and questionnaire survey on myopia related factors. Multivariate Logistic regression analysis was used to establish a Nomogram prediction model for the selected influencing factors.
Results:The overall myopia rate of the respondents was 68.3%, the myopia rate of boys (63.4%) was lower than that of girls (72.9%), and the myopia rate of primary school students (46.7%) was lower than that of junior high school students (81.1%), and the difference was statistically significant（ χ 2=8.71, 108.07, P <0.05). Daily eye exercises, activities outside the teaching building during recess, having daily sleep time of 7-9 and >9 h, having both parents without myopia were negatively correlated with the occurrence of myopia in children and adolescents in Yunnan Province ( OR=0.64, 0.63, 0.56, 0.28, 0.48, P < 0.05 ). The reading and writing time after school ≥3 h per day and parents unrestricted time to play video games were positively correlated with myopia ( OR=1.94, 1.78, P <0.05). Based on the influencing factors, a Nomogram prediction model was established to quantitatively evaluate the risk of myopia. The results showed that greater risk for myopia was associated with sleep duration, parental history of myopia, and the time spent reading and writing after school every day.
Conclusion:Both genetic factors and environmental factors are related to myopia in children and adolescents. The prediction model of nomogram is beneficial for screening high risk factors of myopia and taking corresponding prevention and treatment measures.
