Association Between Vision Difficulty and Sociodemographic Factors in Children: A Population-Based Analysis

PURPOSE: To determine sociodemographic predictors of poor vision in children and adolescents less than 18 years of age in a large, nationally representative sample of the US population.DESIGN: Retrospective, population-based cross-sectional study.METHODS: Using data from the 2021 National Health Interview Survey (NHIS), participants less than 18 years of age for whom data were available on vision difficulty were included in our analysis. Our primary outcome was vision difficulty. Sociodemographic variables were investigated as predictors of vision difficulty. Logistic regression models were performed using Stata version 17.0. An odds ratio (OR) and 95% CI were reported for analyses.RESULTS: The 2021 NHIS reported on 8261 children and adolescents, of whom 7373 had data pertaining to vision difficulty and were included in our sample. Vision difficulty was associated with being unable to afford medical care (OR = 2.60, 95% CI = 1.17, 5.80, P = 0.02) and having public health insurance (OR = 1.52, 95% CI = 1.09, 2.12, P = .01). Compared to children less than 5 years of age, children ranging from 5 to 8 years (OR = 4.29, 95% CI = 2.26, 8.15, P < .01) and adolescents ranging from 16 to 17 years (OR = 6.06, 95% CI = 3.17, 11.58, P < .01) had a higher odds of vision difficulty. Compared to participants for whom the highest level of education of adults in their family was grade 1 to 11, the odds of vision difficulty were lower in those whose parents had a professional school or doctoral degree (OR = 0.30, 95% CI = 0.11, 0.84, P = .02).CONCLUSIONS: Multiple sociodemographic factors are associated with vision difficulty in young persons. In working toward achieving equity in vision health, it is imperative that disparities mediated by sociodemographic factors be addressed through public health policies.

Automated summary

This study examines sociodemographic predictors of poor vision in children and adolescents in the US. The findings suggest that factors such as affordability of medical care, public health insurance, age, and parental education level are associated with vision difficulty. Addressing these disparities through public health policies is crucial for achieving equity in vision health.