Skip to main content
. 2015 Dec 2;6(2):108–115. doi: 10.1159/000441624

Table 2.

Nested Cox models predicting incident CKD-3b based on MetS with adjustments for demographicsa, lifestyle, and biomarkers of inflammation and insulin resistance

Model 1: adjusted for demographics Model 2: adjusted for model 1 and lifestyle Model 3: adjusted for model 2 and HOMA-IR Model 4: adjusted for model 2 and hsCRP Model 5: adjusted for model 2, HOMA-IR, and hsCRP
MetS 3.24 (1.42–7.40), 0.005 3.93 (1.66–9.31), 0.002 2.73 (0.98–7.62), 0.056 5.31 (2.10–13.44), 0.000 3.65 (1.20–10.60), 0.022
Never smoked ref. ref. ref. ref.
Past smoker 1.46 (0.59–3.60), 0.418 1.21 (0.48–3.04), 0.682 1.44 (0.55–3.79), 0.454 1.20 (0.45–3.19), 0.713
Current smoker 5.25 (1.04–26.56), 0.045 9.26 (1.78–48.13), 0.008 6.59 (1.25–34.70), 0.026 12.93 (2.37–70.58), 0.003
Monthly alcohol 1.37 (0.31–6.14), 0.681 1.27 (0.28–5.76), 0.756 0.81 (0.10–6.06), 0.809 0.68 (0.09–5.47), 0.719
HOMA-IR 1.91 (0.39–9.46), 0.426 2.49 (0.48–13.06), 0.280
hsCRP 0.66 (0.26–1.67), 0.375 0.50 (0.19–1.34), 0.116

Values are HR (95% CI), p value. Italics indicate statistical significance.

a

Demographics include age, sex, race, and education.