Fig. 2. Restricted cubic spline (RCS) logistic regression of log-transformed visceral fat mass index [log(vFMI), natural logarithm] with (A) diabetes, (B) diabetic nephropathy (DN), and (C) cardiovascular disease. (IMAGE)

Health Data Science

Fig. 2. Restricted cubic spline (RCS) logistic regression of log-transformed visceral fat mass index [log(vFMI), natural logarithm] with (A) diabetes, (B) diabetic nephropathy (DN), and (C) cardiovascular disease.

Caption

Red lines show odds ratios (OR) with 95% confidence intervals (CIs) (dashed). Gray bars indicate the distribution of log(vFMI). Estimated inflection points are marked for diabetes (−1.380) and DN (−1.423). P-overall values represent overall associations, and P-nonlinear values test for deviation from linearity. Adjusted for age, sex, race, education level, poverty income ratio (PIR), alcohol consumption, smoking, HDL cholesterol, and systolic blood pressure (SBP). The solid and dotted lines represent the estimated values and their corresponding 95% CIs, respectively.

Credit

Zheng Shi

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