Figure 1.

Multivariable-adjusted odds of diabetes mellitus according to serum uric acid level. Solid thick line represents the predicted odds of diabetes estimated from nonparametric logistic regression employing the generalized addictive-modeling approach (R system for statistical computing, Comprehensive R Archive Network (http://www.CRAN.R-project.org/)); dashed lines, 95% confidence limits for the nonparametric logistic regression estimates. The nonparametric logistic regression was adjusted for age (years), sex (men, women), race-ethnicity (non-Hispanic whites, non-Hispanic blacks, Mexican Americans, etc.), education categories (<high school, high school, >high school), smoking (never, former, current), alcohol intake (never, former, current), BMI (normal, overweight, obese), and serum total cholesterol (mg/dL). x axis: serum uric acid level (mg/dL) plotted in log scale, y1 axis: predicted odds of diabetes mellitus plotted in log scale, and y2 axis: participant number for each serum uric acid level.