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Development of a nomogram for predicting myopia risk among school-age children: a case-control study
Jingfeng Mu1, Haoxi Zhong1, Mingjie Jiang1
1Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China.
Annals of Medicine
|March 20, 2024
Summary
This study identified key factors for childhood myopia, developing a nomogram to accurately predict myopia risk in school-age children for targeted prevention efforts.
Area of Science:
- Ophthalmology
- Public Health
- Pediatrics
Background:
- Myopia is a growing public health concern among school-age children.
- Early identification of risk factors is crucial for effective myopia prevention and control strategies.
Purpose of the Study:
- To analyze factors influencing myopia development in children.
- To create a predictive nomogram for myopia risk assessment in school-age populations.
- To provide a tool for identifying children at high risk of myopia.
Main Methods:
- A case-control study involving 3512 primary school students in Shenzhen.
- Utilized random cluster sampling, questionnaires, myopia screening, and ocular biometric measurements.
- Employed logistic regression for factor analysis and nomogram construction, with bootstrap resampling for validation.
Main Results:
- Identified older age, female sex, maternal myopia, incorrect reading/writing posture, and increased axial length as myopia risk factors.
- Increased corneal radius was found to be a protective factor against myopia.
- The developed nomogram demonstrated high predictive accuracy (ROC curve AUC = 0.857) and clinical utility.
Conclusions:
- The nomogram is an accurate tool for predicting myopia risk in schoolchildren.
- This study offers a valuable reference for screening high-risk students.
- The findings support individualized myopia prevention and control programs.
