Table 5.
Binomial Logistic Regression Analysis adjusted ORs (95% CIs) for the associations between MHR, MAR and the risk of MetS.
| Models | MHR | MAR | ||
|---|---|---|---|---|
| OR (95%CI) | P | OR (95%CI) | P | |
| Model 0 | 2.50 (2.12-2.98) | < 0.001 | 3.17 (2.57-3.91) | < 0.001 |
| Model 1 | 2.51 (2.11–2.98) | < 0.001 | 3.18 (2.57–3.92) | < 0.001 |
| Model 2 | 2.24 (1.82–2.76) | < 0.001 | 2.68 (2.14–3.35) | < 0.001 |
| Model 3 | 1.50 (1.14–1.97) | 0.004 | 2.26 (1.79–2.87) | < 0.001 |
Model 0 was an unadjusted model. Model 1 was adjusted for age and gender. Model 2 was additionally adjusted for HbA1c, BMI, LDL-c, ApoA1, monocyte, UA, and HOMA-IR based on model 1. Model 3 was additionally adjusted for TG, WC, HDL-c, SBP, and DBP based on model 2. BMI, body mass index; WC, waist circumference; HbA1c, glycated hemoglobin; UA, uric acid; TG, triglyceride; HDL-c, high-density lipoprotein cholesterol; LDL-c, low-density lipoprotein cholesterol; ApoA1, apolipoprotein A1; SBP, systolic blood pressure; DBP, diastolic blood pressure; HOMR-IR, homeostasis model assessment insulin resistance; hs-CRP, high-sensitivity C-reactive protein; MetS, metabolic syndrome; MHR, monocyte–to–HDL-c ratio; MAR, monocyte-to-ApoA1 ratio.