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pp.291-302
Purpose : We have investigated the vanatwn between ocular components and re(ractive error v.~lh various age groups between 20 to 69 years old. Methods : Refractive error and ocular components were measured in 100 adults (200 eyes) v.~th healthy eyes. Spherical equivalenl. corneal power and mean corneal radius were measured using a Canon RK-Fl autorefractor. Anterior chamber depth and axial length measurements were made using IOL Master. AUCR ratio was calculated by dividing axial length measurements by mean corneal radius. Power vector analysis was used to analyze the refractive error which is expressed with three vectors : M, Jo. J 15· Results : Measured Spherical equivalent values were -1.51±2.480(males -1.33± 2.070, females -1.63±2.670). and showed significant age groups dependence. Measured AUCR ratio values were 3.15±0.15(males 3.16±0.12. females 3.15±0.17). and showed significant age groups dependence. Prevalence of spherical equivalent were as follows : myopesOlleyes. 55.5%). emmetropes(49eyes. 24.5%). hyperopes (40eyes. 20%), and astigmatic eyes(89eyes, 44.5%). As increasing the age from 20s to 60s, M components of power vector analysis showed the change myopia to hyperopia(from -3.44±2.460 to 0.88±1.270). Jo components of power vector analysis changed with-the-rule(WfR) to against-the-rule(ATR)(0.41±0.67D for 20s and -0.01± 0.350 for 40s). J4s components of power vector analysis were -0.67±0.140 for 20s and 0.09±0.270 for 50s. ln J.,s components analysis. the cylinder axis observed near 135 degree for 20s and 45 degree for 50s. Linear regression analysis showed the strong negative correlation between axial length and spherical equivalent(r = -0. 73. p < 0.0001). The correlation between AUCR ratio and spherical equivalent showed the most strong negative dependence(r = -0.82, p < 0.0001). Conclusion : Prevalence of myopia showed 55.5%0lleyes) in 200 eyes. Refractive error showed the change from myopia to hyperopia and total astigmatism showed the change from with-the-rule to against-the-rule with increasing ages. Analysis of biometric data showed that AUCR ratio has the highest negative correlation with spherical equivalent.
