A Proposed Method for Estimating Refractive Error in Primary School Children.

Area of Science:

• Ophthalmology
• Pediatric Optometry
• Biometric Analysis

Background:

• Childhood myopia is a growing concern globally.
• Understanding refractive error progression is crucial for early intervention.
• Biometric parameters play a significant role in myopia development.

Purpose of the Study:

• To evaluate consecutive biometric and refraction measurements in Turkish schoolchildren.
• To assess the correlation between biometric changes and refractive error progression.
• To identify predictive factors for myopia development in children aged 7-12.

Main Methods:

• Longitudinal study of 197 Turkish primary school-age children (7 and 12 years old).
• Collected three consecutive annual measurements of age, biometric parameters (axial length, anterior chamber depth, etc.), and refraction (spherical equivalent).
• Utilized logistic and Cox regression models to analyze correlations and predict myopia progression.

Main Results:

• Initial axial length, mean keratometry, and age were significantly correlated with myopia progression.
• Initial spherical equivalent, axial length, anterior chamber depth, and keratometry were correlated with final spherical equivalent.
• A predictive equation for refractive error was generated based on initial biometric parameters.

Conclusions:

• Early biometric parameters (SE, AL, ACD, K) are significant predictors of final refractive error in children.
• Axial length and keratometry are key indicators of myopia progression.
• Further cross-validation is needed to confirm the utility of the developed refractive calculator for predicting future refractive errors.