PDF
ePub
Citation
Print
Abstract
Purpose
To compare the dietary patterns between normal or high tension glaucoma patients and a normal control population.
Methods
A survey using the self-assessment food-frequency questionnaire was given to normal tension glaucoma (NTG) or high tension glaucoma (HTG) patients who visited a glaucoma clinic between June 2008 and September 2008. Healthy Korean subjects who had received routine health examinations at Samsung Medical Center between October 2007 and September 2008 were evaluated with the same questionnaire. Statistical analysis of variable factors including fatty fish, seaweeds, soy products and greasy meats, was performed to compare between groups.
Results
Sixty-two of NTG patients, 25 of HTG patients and 29,376 normal subjects were included in the present study. The mean age of each group was 51.3 ± 13.4, 51.8 ± 17.4 and 50.5 ± 10.4 years, respectively. No significant difference in dietary pattern was found between the subjects with glaucoma and the normal controls (p > 0.2 in all factors). The dietary pattern of NTG and HTG patients showed no statistically significant difference in all factors (p > 0.2).
References
1. Gupta N, Weinreb RN. New definitions of glaucoma. Curr Opin Ophthalmol. 1997; 8:38–41.
2. Kingman S. Glaucoma is second leading cause of blindness globally. Bull World Health Organ. 2004; 82:887–8.
3. The effectiveness of intraocular pressure reduction in the treatment of normal-tension glaucoma. Collaborative Normal-Tension Glaucoma Study Group. Am J Ophthalmol. 1998; 126:498–505.
4. Coleman AL. Glaucoma. Lancet. 1999; 354:1803–10.
5. Kass MA, Heuer DK, Higginbotham EJ, et al. The Ocular Hypertension Treatment Study: a randomized trial determines that top-ical ocular hypotensive medication delays or prevents the onset of primary openangle glaucoma. Arch Ophthalmol. 2002; 120:701–13.
6. Tielsch JM. The epidemiology and control of open angle glaucoma: a population-based perspective. Annu Rev Public Health. 1996; 17:121–36.
7. Carel RS, Korczyn AD, Rock M, Goya I. Association between ocular pressure and certain health parameters. Ophthalmology. 1984; 91:311–4.
8. Klein BE, Klein R, Linton KL. Intraocular pressure in an American community. The Beaver Dam Eye Study. Invest Ophthalmol Vis Sci. 1992; 33:2224–8.
9. Dielemans I, Vingerling JR, Wolfs RC, et al. The prevalence of primary openangle glaucoma in a population-based study in The Netherlands. The Rotterdam Study. Ophthalmology. 1994; 101:1851–5.
10. Leske MC, Connell AM, Schachat AP, Hyman L. The Barbados Eye Study. Prevalence of open angle glaucoma. Arch Ophthalmol. 1994; 112:821–9.
11. Mitchell P, Smith W, Attebo K, Healey PR. Prevalence of openangle glaucoma in Australia. The Blue Mountains Eye Study. Ophthalmology. 1996; 103:1661–9.
12. Rochtchina E, Mitchell P, Wang JJ. Relationship between age and intraocular pressure: the Blue Mountains Eye Study. Clin Experiment Ophthalmol. 2002; 30:173–5.
13. Sommer A, Tielsch JM, Katz J, et al. Relationship between intraocular pressure and primary open angle glaucoma among white and black Americans. The Baltimore Eye Survey. Arch Ophthalmol. 1991; 109:1090–5.
14. Wu SY, Leske MC. Associations with intraocular pressure in the Barbados Eye Study. Arch Ophthalmol. 1997; 115:1572–6.
15. Nomura H, Ando F, Niino N, et al. The relationship between age and intraocular pressure in a Japanese population: the influence of central corneal thickness. Curr Eye Res. 2002; 24:81–5.
16. Nomura H, Shimokata H, Ando F, et al. Age-related changes in intraocular pressure in a large Japanese population: a cross-sectional and longitudinal study. Ophthalmology. 1999; 106:2016–22.
17. Shiose Y. The aging effect on intraocular pressure in an apparently normal population. Arch Ophthalmol. 1984; 102:883–7.
18. Nakano T, Tatemichi M, Miura Y, et al. Long-term physiologic changes of intraocular pressure: a 10-year longitudinal analysis in young and middle-aged Japanese men. Ophthalmology. 2005; 112:609–16.
19. Mori K, Ando F, Nomura H, et al. Relationship between intraocular pressure and obesity in Japan. Int J Epidemiol. 2000; 29:661–6.
20. Weih LM, Mukesh BN, McCarty CA, Taylor HR. Association of demographic, familial, medical, and ocular factors with intraocular pressure. Arch Ophthalmol. 2001; 119:875–80.
21. Kang JH, Pasquale LR, Willett WC, et al. Dietary fat consumption and primary openangle glaucoma. Am J Clin Nutr. 2004; 79:755–64.
22. Coleman AL, Stone KL, Kodjebacheva G, et al. Glaucoma risk and the consumption of fruits and vegetables among older women in the study of osteoporotic fractures. Am J Ophthalmol. 2008; 145:1081–9.
23. Kim M, Lee S, Yo A. Reproducibility and validity of a self ad-ministered semiquantitive food frequency questionnaire among middle-aged men in Seoul. Korean J Community Nutr. 1996; 1:376–94.
24. Arkell SM, Lightman DA, Sommer A, et al. The prevalence of glaucoma among Eskimos of northwest Alaska. Arch Ophthalmol. 1987; 105:482–5.
25. Mason RP, Kosoko O, Wilson MR, et al. National survey of the prevalence and risk factors of glaucoma in St. Lucia, West Indies. Part I. Prevalence findings. Ophthalmology. 1989; 96:1363–8.
26. Shiose Y, Kitazawa Y, Tsukahara S, et al. Epidemiology of glaucoma in Japan–a nationwide glaucoma survey. Jpn J Ophthalmol. 1991; 35:133–55.
27. Kang JH, Willett WC, Rosner BA, et al. Prospective study of alcohol consumption and the risk of primary openangle glaucoma. Ophthalmic Epidemiol. 2007; 14:141–7.
28. Tielsch JM, Katz J, Sommer A, et al. Family history and risk of primary open angle glaucoma. The Baltimore Eye Survey. Arch Ophthalmol. 1994; 112:69–73.
29. Hewitt AW, Craig JE, Mackey DA. Complex genetics of complex traits: the case of primary openangle glaucoma. Clin Experiment Ophthalmol. 2006; 34:472–84.
30. Kumar DM, Agarwal N. Oxidative stress in glaucoma: a burden of evidence. J Glaucoma. 2007; 16:334–43.
31. Kang JH, Pasquale LR, Willett W, et al. Antioxidant intake and primary openangle glaucoma: a prospective study. Am J Epidemiol. 2003; 158:337–46.
32. Kang JH, Willett WC, Rosner BA, et al. Caffeine consumption and the risk of primary openangle glaucoma: a prospective cohort study. Invest Ophthalmol Vis Sci. 2008; 49:1924–31.
33. 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; 48:756–62.
34. Lee JS, Kim CM, Choi HY, Oum BS. A relationship between intraocular pressure and age and body mass index in a Korean population. J Korean Ophthalmol Soc. 2003; 44:1559–66.
35. Park SC, Kee C. The effect of age and gender on the intraocular pressure in Koreans: a cross-sectional study. J Korean Ophthalmol Soc. 2008; 49:135–42.
36. Simopoulos AP. Human requirement for N-3 polyunsaturated fatty acids. Poult Sci. 2000; 79:961–70.
37. Tokudome S, Ichikawa Y, Okuyama H, et al. The Mediterranean vs the Japanese diet. Eur J Clin Nutr. 2004; 58:1323.
38. Park YJ, Choi BS, Seo YJ. Comparative studies on food consumption pattern between Korea and Japan. J Korean Soc Diet Cult. 1992; 7:73–9.
39. Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed.Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins;2008. p. 111–27.
Table 1.
Characteristics of study population
|
Glaucoma |
Normal | ||
|---|---|---|---|
| NTG | HTG | ||
| Number of subjects | 62 | 25 | 29,376 |
| Age (yr, mean ± SD) | 51.3 ± 13.4 | 51.8 ± 17.4 | 50.5 ± 10.4 |
Table 2.
Comparison between normal and NTG groups
Table 3.
Comparison between normal and HTG groups
XML Download