Relationships Between Anthropometric Measurements and Intraocular Pressure: The Korea National Health and Nutrition Examination Survey
| Autor: | Jung Hoon Kim, Yu Sam Won, Hyun Seok Kwon, Joon Mo Kim, Mi Yeon Lee, Jae Hyuck Lee, Hyun-Tae Kim, Ki Ho Park, Jae Yeun Lee |
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| Rok vydání: | 2017 |
| Předmět: |
Intraocular pressure
medicine.medical_specialty education.field_of_study Waist genetic structures National Health and Nutrition Examination Survey Cross-sectional study business.industry Population Anthropometry eye diseases 03 medical and health sciences Ophthalmology 0302 clinical medicine Endocrinology Internal medicine 030221 ophthalmology & optometry medicine Lean body mass 030212 general & internal medicine business education Body mass index |
| Zdroj: | American Journal of Ophthalmology. 173:23-33 |
| ISSN: | 0002-9394 |
| DOI: | 10.1016/j.ajo.2016.09.031 |
| Popis: | Purpose To evaluate the relationship between intraocular pressure (IOP) and various anthropometric measures. Design A population-based cross-sectional study. Methods A total of 5008 participants, 2080 men and 2928 women ≥19 years of age were included from the Korea National Health and Nutrition Examination Survey V database, focusing on the years 2010 and 2011. We selected IOP in the right eye of a normal healthy population as the outcome variable of our study. We analyzed the relationship between IOP and anthropometric parameters using dual-energy X-ray absorptiometry by sex. Lean body mass was calculated as total body mass minus fat mass. We used general linear models and logistic regression analysis to evaluate risk factors of high IOP. Our main outcome measure was correlation between anthropometric data and IOP. Results In multivariate general linear models, greater body mass index (BMI) and waist circumference were correlated with higher IOP for both men (BMI, β = 0.053, P = .026; waist circumference, β = 0.016, P = .067) and women (BMI, β = 0.074, P P P = .037) and fat mass/lean body mass (β = 1.170, P = .06) were correlated with higher IOP, while greater lean body mass/weight (β = −3.188, P = .025), lean body mass/BMI (β = −1.379, P = .002), appendicular skeletal muscle mass/BMI (β = −2.270, P = .022), and bone mineral content/BMI (β = −11.653, P = .031) were correlated with lower IOP in women, but not in men ( P > .10). Conclusions In healthy women, greater fat mass was associated with higher IOP, and greater muscle mass was associated with lower IOP after adjusting for weight and BMI. Fat and muscle influenced IOP in women independently. |
| Databáze: | OpenAIRE |
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