Open AccessRelationship between anthropometric parameters and open angle glaucoma: The Korea National Health and Nutrition Examination Survey
Author(s) -
Jae Yeun Lee,
Tae Woo Kim,
Hyun Tae Kim,
Mi Yeon Lee,
Hye Won Min,
Yu Sam Won,
HyuSang Kwon,
Ki Ho Park,
Joon Mo Kim
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0176894
Subject(s) - national health and nutrition examination survey , body mass index , medicine , anthropometry , quartile , waist , obesity , population , environmental health , confidence interval
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.