Research Article

Estimated Prevalence of Glaucoma in South Korea Using the National Claims Database

Table 3

Effect of age and gender on the prevalence of glaucoma.

Univariate Multivariate
Odds ratio (95% CI) valueOdds ratio (95% CI) value

2008Age, per decade increase1.664 (1.658–1.670)<0.0011.616 (1.610–1.622)<0.001
Sex<0.001<0.001
 Female1.000 (reference)1.000 (reference)
 Male1.047 (1.037–1.056)1.131 (1.120–1.142)

2009Age, per decade increase1.683 (1.678–1.689)<0.0011.759 (1.753–1.766)<0.001
Sex<0.001<0.001
 Female1.000 (reference)1.000 (reference)
 Male1.048 (1.038–1.057)1.300 (1.288–1.311)

2010Age, per decade increase1.704 (1.698–1.709)<0.0011.723 (1.717–1.729)<0.001
Sex<0.001<0.001
 Female1 (reference)1.000 (reference)
 Male1.058 (1.048–1.067)1.237 (1.226–1.248)

2011Age, per decade increase1.719 (1.714–1.725)<0.0011.738 (1.733–1.743)<0.001
Sex<0.001<0.001
 Female1.000 (reference)1.000 (reference)
 Male1.048 (1.039–1.056)1.228 (1.218–1.238)

2012Age, per decade increase1.712 (1.707–1.717)<0.0011.729 (1.724–1.735)<0.001
Sex<0.001<0.001
 Female1.000 (reference)1.000 (reference)
 Male1.040 (1.032–1.049)1.214 (1.204–1.223)

2013Age, per decade increase1.730 (1.725–1.735)<0.0011.748 (1.743–1.753)<0.001
Sex<0.001<0.001
 Female1.000 (reference)1.000 (reference)
 Male1.046 (1.039–1.054)1.223 (1.214–1.232)

CI = confidence interval.