Figure 2.

Kidney disease is a predictor of odor identification defects in univariate and multivariable ordinal logistic regression models. Multivariable 1 denotes a model adjusted for age, race, and sex; multivariable 2 denotes a model adjusted for age, race, sex, current tobacco use, education, and presence of diabetes; multivariable 3 denotes a model adjusted for age, race, sex, education, presence of diabetes, current tobacco use, and for the use of the following medications: aspirin, statin, β blocker, angiotensin inhibitor, vitamin D (nutritional and/or active vitamin D), and cinacalcet; and multivariable 4 denotes a model adjusted for age, race, sex, education, presence of diabetes, current tobacco use, and prior stroke. Shown are the odds ratios (circle for univariate model, triangle for multivariable 1, square for multivariable 2, diamond for multivariable 3, and hexagon for multivariable 4) and 95% confidence intervals. Dotted line marks an odds ratio of 1.