Browse > Article
http://dx.doi.org/10.14479/jkoos.2013.18.1.061

Relations of Glaucoma and Dietary Pattern Factor  

Kim, Hyojin (Dept. of Visual Optics, Division of Health Science, Baekseok University)
Publication Information
Journal of Korean Ophthalmic Optics Society / v.18, no.1, 2013 , pp. 61-65 More about this Journal
Abstract
Purpose: This study was performed to identify the relations between glaucoma and dietary patterns in Korean adults, aged 30 years or older. Methods: 6,453 subjects (male 2,759, female 3,694 subjects) who aged 30 years or older from the Korea National Health and Nutrition Examination Survey were included. Glaucoma was assessed based on the subjects were diagnosed by a doctor. At first, waist circumference and body mass index (BMI) were compared to investigate the association between glaucoma and obesity index. Secondly, dietary patterns using factor analysis for external blue colored fish(mackerel), seaweed(seaweed, laver), bean(bean, soybean milk), vegetables(sprout, spin, carrot, cabbage, cucumber, pepper, tomato, pumpkin) and fruits(tangerine, apple, pear, strawberry, grape, peach) were obtained. Lastly, regression analysis was used for glaucoma and emerged dietary factors. Results: In glaucoma and normal group, waist circumference and BMI were $82.25{\pm}9.96cm$ and $23.27{\pm}2.84kg/m^2$, $75.79{\pm}13.79cm$ and $22.39{\pm}4.06kg/m^2$, respectively. There was statistically significant difference (p<0.05). Three dietary patterns were emerged from the factor analysis, and factor 1 was included sprout, spin, carrot, cabbage, seaweed, cucumber, mackerel, laver. The factor 1 of dietary pattern was inversely related to the prevalence of glaucoma (OR: 0.697, 95%CI: 0.496-0.980, p=0.038), and model adjusting for age and sex was showed the same trend (OR: 0.698, 95%CI: 0.497-0.982, p=0.039). Conclusions: This study was analysed first with glaucoma and dietary pattern in Korean, and vegetables, laver and mackerel significant associated to reduce the risk of glaucoma.
Keywords
Glaucoma; Eating habits; Dietary pattern; Vegetable; External blue colored fish;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Ursin G, Ziegler RG, Subar AF, Graubard BI, Haile RW, Hoover R. Dietary patterns associated with a low-fat diet in the national health examination follow-up study: identification of potential confounders for epidemiologic analyses. Am J Epidemiol 1993;137(8):916-927.   DOI
2 Park SS, Lee EH. Relations of cataract to metabolic syndrome and its components-based on the KNHANES 2005, 2007. J Korean Oph Opt Soc. 2009;14(3):103-108.
3 Kang JH, Pasquale LR, Willett WC, Rosner BA, Egan KM, Faberowski N, et al. Dietary fat consumption and primary open-angle glaucoma. AM J Clin Nutr. 2004; 79(5):755-764.   DOI
4 Nguyen CT, Bui BV, Sinclair AJ, Vingrys AJ. Dietary omega 3 fatty acids decrease intraocular pressure with age by increasing aqueous outflow. Invest Ophthalmol Vis Sci. 2007;48(2):756-762.   DOI   ScienceOn
5 Park SS, Lee HJ, Kim H, Lee EH. The prevalence of cataract and glaucoma in Korean. J Korean Vis Sci. 2012;14(1):77-84.
6 Resnikoff S, Pascolini D, Etya'ale D, Kocur I, Pararajasegaram R, Pokharel GP, et al. Global data on visual impairment in the year 2002. Bull WHO. 2004;82(11):844-851.
7 Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol. 2006;90(3):262-267.   DOI   ScienceOn
8 Carel RS, Korczyn AD, Rock M, Goya I. Association between ocular pressure and certain health parameters. Ophthalmology. 1984;91(4):311-314.   DOI
9 Klein BE, Klein R, Linton KL. Intraocular pressure in an Americal community. The Beaver Dam Eye Study. Invest Ophthalmol Vis Sci. 1992;33(7):2224-2228.
10 Rochtchina E, Mitchell P, Wang JJ. Relationship between age and intraocular pressure: the Blue Mountains Eye Study. Clin Experiment Ophthalmol. 2002;30(3):173-175.   DOI   ScienceOn
11 Shiose Y. The aging effect on intraocular pressure in an apparently normal population. Arch Ophthalmol. 1984;102(6):883-887.   DOI   ScienceOn
12 Weih LM, Mukesh BN, McCarty CA, Taylor HR. Association of demographic, familial, medical, and ocular factors with intraocular pressure. Arch Ophthalmol. 2001;119(6):875-880.   DOI   ScienceOn
13 Kim MH, Park SC, Lee S, Kee C. Comparison of dietary patterns between glaucoma patients and normal control subjects. J Korean Ophthalmol Soc. 2011;52(2):216-221.   DOI
14 Park SS, Kim TH, Pak YS, Lee SY, Lee HJ, Lee EH. Associations of metabolic syndrome with glaucoma in Korean-based on the Korean national health and nutrition examination survey 2005, 2007-9, 2010. J Korean Oph Opt Soc. 2012;17(2):241-247.
15 Park SS, Lee EH, Paek DM, Cho SI. Body mass index compared with waist circumference indicators as a predictor of elevated intraocular pressure. J Korean Oph Opt Soc. 2010;15(3):293-297.
16 Lee JK, Lee JS, Kim YK. The relationship between intraocular pressure and health parameters. J Korean Ophthalmol Soc. 2009;50(1)105-112.   DOI   ScienceOn
17 Song YJ, Paik HY, Joung HJ. A comparison of cluster and factor analysis to derive dietary patterns in Korean adults using data from the 2005 Korea national health and nutrition examination survey. Korean J Community Nutrition. 2009;14(6):722-733.
18 Coleman AL, Stone KL, Kodjebacheva G, Yu F, Pedula KL, Ensrud KE, et al. Gluacoma risk and the consumption of fruits and vegetables among older women in the study of osteoporotic fractures. Am J Ophthalmol. 2008;145(6):1081-1089.   DOI   ScienceOn
19 Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3-9.   DOI   ScienceOn
20 Montonen J, Knekt P, Harkanen T, Jarvinen R, Heliovaara M, Aromaa A, et al. Dietary patterns and the incidence of type 2 diabetes. Am J Epidemiol. 2005;161(3):219-227.   DOI   ScienceOn
21 Statistics Korea. Korean statistical information service, 2010. http://kosis.kr/abroad/abroad_01List.jsp(April 2012).
22 Bomoni L, Marchini G, Marraffa M, Bernardi P, De Franco I, Perfetti S, et al. Prevalence of glaucoma and intraocular pressure distribution in a defined population. The Egna-Neumarkt Study. Ophthalmology. 1998;105(2):209-215.   DOI   ScienceOn