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. 2017 May 8;12(5):e0176894.
doi: 10.1371/journal.pone.0176894. eCollection 2017.

Relationship between anthropometric parameters and open angle glaucoma: The Korea National Health and Nutrition Examination Survey

Jae Yeun Lee  1 , Tae-Woo Kim  2 , Hyun Tae Kim  1 , Mi Yeon Lee  3 , Hye Won Min  4 , Yu Sam Won  5 , Hyun Seok Kwon  6 , Ki Ho Park  7 , Joon Mo Kim  1 ; Epidemiologic Survey Committee of the Korean Ophthalmological Society
Affiliations

Relationship between anthropometric parameters and open angle glaucoma: The Korea National Health and Nutrition Examination Survey

Jae Yeun Lee et al. PLoS One. .

Abstract

Aims: To evaluate the relationships between open-angle glaucoma (OAG) and various anthropometric measurements.

Design: Korea National Health and Nutrition Examination Survey (KNHANES), a population-based cross-sectional study using a complex, stratified, multistage, probability-cluster survey.

Methods: 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: In 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).

Conclusions: In 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.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

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