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The Distribution of Intraocular Pressure and Its Association With Metabolic Syndrome in a Community

  • Park, Sang-Shin (Graduate School of Public Health, Seoul National University) ;
  • Lee, Eun-Hee (Department of Visual Optics Far East University) ;
  • Jargal, Ganchimeg (Graduate School of Public Health, Seoul National University) ;
  • Paek, Do-Myung (Graduate School of Public Health, Seoul National University) ;
  • Cho, Sung-Il (Graduate School of Public Health, Seoul National University)
  • Received : 2009.09.08
  • Accepted : 2009.12.03
  • Published : 2010.03.31

Abstract

Objectives: The current study was performed to assess the distribution of intraocular pressure (IOP) and its association with metabolic syndrome (MS) in a community. Methods: We measured IOP and MS components from 446 adults, age 20 or more years old, who reside in a community in Kyunggi Province, South Korea. We compared the level of IOP according to the number of metabolic abnormalities and between normal and abnormal metabolic components. Linear regression analyses were used to determine the relationship between IOP and metabolic components. Results: No significant difference in IOP (mean${\pm}$SE) was found between men ($12.24{\pm}2.42$) and women ($12.55{\pm}2.41$ mmHg, p > 0.1), while IOP of men tended to decrease as age increased (p for trend < 0.01). After adjusting for age, IOP of subjects with abdominal obesity in men and high blood pressure in women were significantly higher than those without abdominal obesity or high blood pressure (p < 0.05). Female subjects with MS showed significantly higher IOP than those without MS. Participants with more metabolic disturbances tended to have a greater IOP elevation with a linear trend after adjusting for age and sex. In the univariate regression analysis, age and waist circumference were significantly associated with IOP in men, but systolic and diastolic blood pressure were associated with IOP in women. In final multiple regression model, age, systolic blood pressure, and triglyceride were associated with IOP in women, and age in men. Conclusions: These findings suggest that MS and its components may be important determinants of elevated IOP.

Keywords

References

  1. Bonomi 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. 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 World Health Organ 2004; 82(11): 844-851.
  3. Kass MA, Heuer DK, Higginbotham EJ, Johnson CA, Keltner JL, Miller JP, et al. The Ocular Hypertension Treatment Study: A randomized trial determines that topical ocular hypotensive medication delays or prevents the onset of primary open-angle glaucoma. Arch Ophthalmol 2002; 120(6): 701-713, discussion 829-830. https://doi.org/10.1001/archopht.120.6.701
  4. Dielemans I, de Jong PT, Stolk R, Vingerling JR, Grobbee DE, Hofman A. Primary open-angle glaucoma, intraocular pressure, and diabetes mellitus in the general elderly population. The Rotterdam Study. Ophthalmology 1996; 103(8): 1271-1275. https://doi.org/10.1016/S0161-6420(96)30511-3
  5. Leske MC, Connell AM, Wu SY, Hyman LG, Schachat AP. Risk factors for open-angle glaucoma. The Barbados Eye Study. Arch Ophthalmol 1995; 113(7): 918-924. https://doi.org/10.1001/archopht.1995.01100070092031
  6. 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
  7. Wu SY, Leske MC. Associations with intraocular pressure in the Barbados Eye Study. Arch Ophthalmol 1997; 115(12): 1572-1576. https://doi.org/10.1001/archopht.1997.01100160742012
  8. Xu L, Li J, Zheng Y, Cui T, Zhu J, Ma K, et al. Intraocular pressure in Northern China in an urban and rural population: The Beijing eye study. Am J Ophthalmol 2005; 140(5): 913-915. https://doi.org/10.1016/j.ajo.2005.04.050
  9. Hirvela H, Tuulonen A, Laatikainen L. Intraocular pressure and prevalence of glaucoma in elderly people in Finland: A population-based study. Int Ophthalmol 1994; 18(5): 299-307.
  10. Lin HY, Hsu WM, Chou P, Liu CJ, Chou JC, Tsai SY, et al. Intraocular pressure measured with a noncontact tonometer in an elderly Chinese population: The Shihpai Eye Study. Arch Ophthalmol 2005; 123(3): 381-386. https://doi.org/10.1001/archopht.123.3.381
  11. Memarzadeh F, Ying-Lai M, Azen SP, Varma R. Associations with intraocular pressure in Latinos: The Los Angeles Latino Eye Study. Am J Ophthalmol 2008; 146(1): 69-76. https://doi.org/10.1016/j.ajo.2008.03.015
  12. Nomura H, Shimokata H, Ando F, Miyake Y, Kuzuya F. Age-related changes in intraocular pressure in a large Japanese population: A cross-sectional and longitudinal study. Ophthalmology 1999; 106(10): 2016-2022. https://doi.org/10.1016/S0161-6420(99)90417-7
  13. 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
  14. Fukuoka S, Aihara M, Iwase A, Araie M. Intraocular pressure in an ophthalmologically normal Japanese population. Acta Ophthalmol 2008; 86(4): 434-439. https://doi.org/10.1111/j.1600-0420.2007.01068.x
  15. Lee JS, Lee SH, Oum BS, Chung JS, Cho BM, Hong JW. Relationship between intraocular pressure and systemic health parameters in a Korean population. Clin Experiment Ophthalmol 2002; 30(4): 237-241. https://doi.org/10.1046/j.1442-9071.2002.00527.x
  16. Mori K, Ando F, Nomura H, Sato Y, Shimokata H. Relationship between intraocular pressure and obesity in Japan. Int J Epidemiol 2000; 29(4): 661-666. https://doi.org/10.1093/ije/29.4.661
  17. Oh SW, Lee S, Park C, Kim DJ. Elevated intraocular pressure is associated with insulin resistance and metabolic syndrome. Diabetes Metab Res Rev 2005; 21(5): 434-440. https://doi.org/10.1002/dmrr.529
  18. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002; 106: 3143-3421.
  19. Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ, et al. Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Res Clin Pract 2007; 75(1): 72-80. https://doi.org/10.1016/j.diabres.2006.04.013
  20. Chen HY, Lai SW. Relation between intraocular pressure and systemic health parameters in Taiwan. South Med J 2005; 98(1): 28-32. https://doi.org/10.1097/01.SMJ.0000145389.15201.7F
  21. Lee YW, Min WK, Chun S, Lee W, Kim Y, Chun SH, et al. The association between intraocular pressure and predictors of coronary heart disease risk in Koreans. J Korean Med Sci 2008; 23(1): 31-34. https://doi.org/10.3346/jkms.2008.23.1.31
  22. Klein BE, Klein R. Intraocular pressure and cardiovascular risk variables. Arch Ophthalmol 1981; 99(5): 837-839. https://doi.org/10.1001/archopht.1981.03930010837009
  23. Hennis A, Wu SY, Nemesure B, Leske MC, Barbados Eye Studies Group. Hypertension, diabetes, and longitudinal changes in intraocular pressure. Ophthalmology 2003; 110(5): 908-914. https://doi.org/10.1016/S0161-6420(03)00075-7
  24. Laaksonen DE, Lakka HM, Niskanen LK, Kaplan GA, Salonen JT, Lakka TA. Metabolic syndrome and development of diabetes mellitus: Application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study. Am J Epidemiol 2002; 156(11): 1070-1077. https://doi.org/10.1093/aje/kwf145

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