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

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. Retrospective, population-based cross-sectional study. Using data from the 2021 National Health Interview Survey (NHIS), pa...

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Published inAmerican journal of ophthalmology Vol. 257; pp. 227 - 235
Main Authors Mihalache, Andrew, Huang, Ryan S, Patil, Nikhil S, Popovic, Marko M, Mallipatna, Ashwin, Kertes, Peter J, Muni, Rajeev H, Kohly, Radha P
Format Journal Article
LanguageEnglish
Published United States 01.01.2024
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Abstract 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. Retrospective, population-based cross-sectional study. 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. 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). 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.
AbstractList 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.PURPOSETo 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.Retrospective, population-based cross-sectional study.DESIGNRetrospective, population-based cross-sectional study.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.METHODSUsing 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.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).RESULTSThe 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).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.CONCLUSIONSMultiple 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.
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. Retrospective, population-based cross-sectional study. 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. 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). 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.
Author Huang, Ryan S
Patil, Nikhil S
Popovic, Marko M
Mallipatna, Ashwin
Kertes, Peter J
Mihalache, Andrew
Muni, Rajeev H
Kohly, Radha P
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  fullname: Muni, Rajeev H
  organization: Department of Ophthalmology and Vision Sciences (M.M.P., A.M., P.J.K., R.H.M., R.P.K.), University of Toronto, Toronto, Ontario, Canada; Department of Ophthalmology (R.H.M.), St. Michael's Hospital/Unity Health Toronto, Toronto, Ontario, Canada
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  organization: Department of Ophthalmology and Vision Sciences (M.M.P., A.M., P.J.K., R.H.M., R.P.K.), University of Toronto, Toronto, Ontario, Canada; John and Liz Tory Eye Centre (P.J.K., R.P.K.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada. Electronic address: radha.kohly@utoronto.ca
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