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Updated: Jul 20, 2026

A Method to Quantify Visual Information Processing in Children Using Eye Tracking
Published on: July 9, 2016
Evaluation of myopia status and eye use behavior in school-age and preschool children
Xiaolian Xie1,2, Juan Ma1, Qi Chen1
1Department of Health and Health Education for Children and Adolescents, School of Public Health, Ningxia Medical University, Yinchuan, China.
Background:
The aim of this research was to assess the incidence of myopia and associated behavioral risk factors among school-aged and preschool children in Ningxia.
Methods:
Our survey conducted a comprehensive cross-sectional study utilizing questionnaires to investigate the risk factors for myopia in children aged 3-10, both in preschool and school-age, based on parental reports of their children's myopia status. The logistic regression model analysis was performed using myopia as dependent variables.
Results:
In Ningxia, the prevalence of myopia among preschool and school-age children stood at 4.9%. Specifically, the rate for school-age children (6.3%) was notably higher than that for preschool children (3.7%), with the difference being statistically significant (P < 0.05). The results of the logistic regression analysis indicated that senior grade, parental myopia, academic stress, playing electronic products, reading e-books for a long time, eye fatigue and less outdoor activities were risk factors for myopia, while not staying up late and reasonable reading distance (33-35 cm) were protective factors for myopia.
Conclusions:
The incidence of myopia among children aged 3-10 in Ningxia is 4.9%. Additionally, a child's likelihood of developing myopia is influenced by whether their parents have myopia. Reading e-books and long-term exposure to electronic products are associated with myopia; Eye fatigue and academic stress are also important factors affecting myopia.

