Abstract：【Objective】To explore the correlation between biological parameters of the eyeball and myopia in children and preventive interventions.【Methods】A total of 500 children diagnosed and treated in the ophthalmology outpatient department of our hospital from January 2019 to December 2021 were selected. They were divided into myopia group and non myopia group based on whether they were nearsighted. The biological parameters of the eyeballs in the two groups were compared in terms of Axial length (AL), axial length to corneal curvature ratio (AL/CR), lens thickness (LT), white to white distance (WTW), corneal thickness (CT), vitreous cavity length (VCL), and intraocular pressure (IOP), gender, age, and behavioral patterns (table and chair height, time spent using electronic devices, outdoor exercise time, and eye use time); Logistic regression was used to analyze the influencing factors of myopia in children; Pearson analysis was used to investigate the correlation between myopia in children and ocular biological parameters.【Results】The AL, AL/CR, LT, CT,VCL, Age and behavior patterns of two groups of were compared, and the differences were statistically significant (all P<0.05).The results of logistic regression analysis showed that: AL, AL/CR, LT, CT, VCL, Age and behavioral patterns were both influencing factors for myopia in children. Pearson correlation analysis shows that AL, AL/CR, VCL were positively correlated with myopia in children (r=0.472, 0.369, 0.449, all P<0.05); LT, CT were negatively correlated with myopia in children (r=-0.210, -0.170, P<0.05).【Conclusion】Eye biological parameters, age, and behavioral habits are closely related to myopia in children.
邓姿峰, 肖志刚, 向剑波, 唐璟. 眼球生物学参数与儿童近视的相关性分析及预防干预措施*[J]. 医学临床研究, 2024, 41(5): 658-660.
DENG Zifeng, XIAO Zhigang, XIANG Jianbo, et al. Correlation Analysis and Preventive Intervention Measures between Biological Parameters of the Eyeball and Myopia in Children. JOURNAL OF CLINICAL RESEARCH, 2024, 41(5): 658-660.
2024, Vol. 41 
