Abstract

AimsTo evaluate the relationships between open-angle glaucoma (OAG) and various anthropometric measurements.DesignKorea National Health and Nutrition Examination Survey (KNHANES), a population-based cross-sectional study using a complex, stratified, multistage, probability-cluster survey.MethodsA total of 5,255 participants including 247 glaucoma patients, aged ≥ 19 years were included from the KNHANES V database. Glaucoma diagnosis was based on International Society of Geographical and Epidemiological Ophthalmology criteria. Various anthropometric data regarding obesity were analyzed including body mass index (BMI), total body fat mass, total body muscle mass (lean body mass, non-bone lean body mass, and appendicular skeletal muscle (ASM) mass), and waist circumference (WC). The differences in OAG prevalence with respect to anthropometric parameter quartiles were examined.ResultsIn males, the multivariate general linear model adjusted for age, alcohol, smoking, exercise, systemic hypertension, diabetes, and intraocular pressure (IOP) showed the quartiles for the anthropometric parameters BMI, fat mass/weight ratio and fat mass/muscle mass ratio were negatively associated with OAG. However, muscle mass parameter/BMI ratio was significantly positively associated with OAG (P for trend<0.05). In females, height and fat mass/BMI showed a significant relationship with the risk of OAG. (P value<0.05)ConclusionsIn the present study, high fat mass was associated with low OAG risk. Body composition seemed to affect the prevalence of OAG, but further evaluation is needed.

Highlights

  • Glaucoma is considered a multifactorial disease and is associated with demographic factors including age, gender, and race, as well as ocular and systemic factors

  • The anthropometric parameters Body mass index (BMI), fat mass/weight ratio and fat mass/muscle mass ratio were negatively associated with open-angle glaucoma (OAG)

  • High fat mass was associated with low OAG risk

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Summary

Methods

A total of 5,255 participants including 247 glaucoma patients, aged ! 19 years were included from the KNHANES V database. A total of 5,255 participants including 247 glaucoma patients, aged ! 19 years were included from the KNHANES V database. Glaucoma diagnosis was based on International Society of Geographical and Epidemiological Ophthalmology criteria. Various anthropometric data regarding obesity were analyzed including body mass index (BMI), total body fat mass, total body muscle mass (lean body mass, non-bone lean body mass, and appendicular skeletal muscle (ASM) mass), and waist circumference (WC). The differences in OAG prevalence with respect to anthropometric parameter quartiles were examined

Results
Introduction
Materials and methods
Study design and population
Statistical methods
Discussion
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