Refractive Errors and Their Associated Factors in Schoolchildren: A Structural Equation Modeling Publisher Pubmed



Hashemi H¹ ; Khabazkhoob M² ; Fayaz M³ ; Emamian MH⁴ ; Yekta A⁵ ; Iribarren R⁶ ; Fotouhi A⁷ Show Affiliations
Source: Ophthalmic Epidemiology Published:2023

Abstract

Purpose: To determine the prevalence of myopia and hyperopia in Shahroud schoolchildren and their risk factors Methods: Optometric examinations including the measurement of uncorrected and corrected visual acuity as well as non-cycloplegic and cycloplegic refraction using retinoscopy were done for students. Generalized Structural Equation Modeling (GSEM) was used to determine direct and indirect effects of independent variables on myopia and hyperopia. Results: The data of 5581 students with a mean age of 9.24 ± 1.7 years were used in this study. The prevalence of myopia was 5.0% (95%CI: 4.3–5.7) and the prevalence of hyperopia was 4.8% (95%CI: 4.0 − 5.5) in all schoolchildren. According to the GSEM results, the odds of myopia in rural areas were 0.55 compared to urban areas. A one-unit increase in the ocular AL increased the odds of myopia by 4.91 times. The interaction of sex and age on myopia was significant such that in girls, the odds of myopia increased by 20% for every one-year increase in age while no significant change was seen in boys. A one-unit increase in the ocular AL decreased the odds of hyperopia by 0.49 times. Moreover, the interaction of outdoor activity hours and sex on the prevalence of hyperopia was significant such that increased outdoor activity reduced the odds of hyperopia in girls while no significant correlation was found in boys. Conclusion: Myopia and hyperopia had moderate prevalence. Axial Length had the largest direct association on myopia and hyperopia. Age and outdoor activity had weak associations on refractive errors. © 2022 Taylor & Francis Group, LLC.