Journal of Korean Ophthalmic Optics Society (한국안광학회지)

The Korean Ophthalmic Optics Society (한국안광학회)
권호 표지
DOI QR코드

DOI QR Code

Relations of Glaucoma and Dietary Pattern Factor

녹내장과 식사패턴요인의 관련성

  • Kim, Hyojin (Dept. of Visual Optics, Division of Health Science, Baekseok University)
  • 김효진 (백석대학교 보건학부 안경광학과)
  • Received : 2012.10.20
  • Accepted : 2013.03.16
  • Published : 2013.03.31
Download PDF
⟨ Previous Next ⟩

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.

목적: 40세 이상의 한국 성인 남녀에서 녹내장 발병과 식사패턴과의 관련성을 알아보고자 하였다. 방법: 국민건강영양조사 자료를 이용하여 40세 이상의 성인남녀 총 6,453명(남자 2,759명, 여자 3,694명)을 대상으로 하였다. 녹내장은 의사로부터 진단받았던 경우를 기준으로 하였다. 일차적으로 녹내장과 비만지수와 관련성을 확인하기 위해서 녹내장과 정상군에서 허리둘레와 체질량지수를 비교하였다. 두 번째로 등푸른 생선(고등어), 해조류(김, 미역), 콩류(콩류, 두유), 야채(시금치, 콩나물, 오이, 당근, 양배추, 고추, 토마토, 호박), 과일(귤, 사과, 딸기, 배, 포도, 복숭아)에 대해서 요인분석을 이용하여 식사패턴을 분석하였다. 마지막으로 추출된 식사패턴요인과 녹내장과의 회귀분석을 실시하였다. 결과: 녹내장과 정상군에서 허리둘레와 체질량지수는 각각 $82.25{\pm}9.96cm$와 $23.27{\pm}2.84kg/m^2$, 그리고 $75.79{\pm}13.79cm$와 $22.39{\pm}4.0kg/m^2$로 유의한 차이를 확인할 수 있었다(p<0.05). 요인분석에 의해 조사된 섭취식품은 총3개의 요인으로 추출되었으며, 이때의 요인 1은 콩나물, 시금치, 당근, 양배추, 미역, 오이, 고등어, 김으로 묶여졌다. 식사패턴요인 1은 녹내장의 발병 위험도를 줄이는 경향을 보였고(OR: 0.697, 95%CI: 0.496-0.980, p=0.038), 성별과 연령을 보정한 후에도(OR: 0.698, 95%CI: 0.497-0.982, p=0.039) 마찬가지로 나타났다. 결론: 한국성인을 대상으로 녹내장과 식사패턴요인과의 관련성을 처음 분석한 연구로서 야채, 김과 고등어는 녹내장의 위험도를 감소시키는 관계가 있었다.

Keywords

References

  1. 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. https://doi.org/10.1016/S0161-6420(98)92665-3
  2. 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.
  3. 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.
  4. Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol. 2006;90(3):262-267. https://doi.org/10.1136/bjo.2005.081224
  5. Carel RS, Korczyn AD, Rock M, Goya I. Association between ocular pressure and certain health parameters. Ophthalmology. 1984;91(4):311-314. https://doi.org/10.1016/S0161-6420(84)34282-8
  6. 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.
  7. 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. https://doi.org/10.1046/j.1442-9071.2002.00519.x
  8. Shiose Y. The aging effect on intraocular pressure in an apparently normal population. Arch Ophthalmol. 1984;102(6):883-887. https://doi.org/10.1001/archopht.1984.01040030703023
  9. 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. https://doi.org/10.1001/archopht.119.6.875
  10. 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. https://doi.org/10.3341/jkos.2011.52.2.216
  11. 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.
  12. 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.
  13. Lee JK, Lee JS, Kim YK. The relationship between intraocular pressure and health parameters. J Korean Ophthalmol Soc. 2009;50(1)105-112. https://doi.org/10.3341/jkos.2009.50.1.105
  14. 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.
  15. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3-9. https://doi.org/10.1097/00041433-200202000-00002
  16. 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. https://doi.org/10.1093/aje/kwi039
  17. 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. https://doi.org/10.1016/j.ajo.2008.01.022
  18. Statistics Korea. Korean statistical information service, 2010. http://kosis.kr/abroad/abroad_01List.jsp(April 2012).
  19. 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. https://doi.org/10.1093/oxfordjournals.aje.a116753
  20. 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.
  21. 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. https://doi.org/10.1093/ajcn/79.5.755
  22. 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. https://doi.org/10.1167/iovs.06-0585