Table 2. Multiple linear regression models to test variables with Lumbar spine BMD.
| Independent variable | Adjustment model | Male |
Female |
|||
|---|---|---|---|---|---|---|
| Standardised coefficients (β) | P value | Standardised coefficients (β) | P value | |||
| baPWV (cm/s) | Model 1 | −0.079 | 0.006 | −0.121 | <0.001 | |
| Model 2 | −0.064 | 0.035 | −0.088 | 0.014 | ||
| ABI | Model 1 | 0.050 | 0.061 | 0.03 | 0.304 | |
| Model 2 | 0.030 | 0.251 | 0.019 | 0.498 | ||
| CIMT (mm) | Model 1 | 0.015 | 0.606 | −0.032 | 0.295 | |
| Model 2 | −0.012 | 0.675 | −0.041 | 0.154 | ||
| eGFR (mL/min/1.73 m2) | Model 1 | −0.006 | 0.826 | −0.037 | 0.199 | |
| Model 2 | −0.001 | 0.979 | −0.013 | 0.646 | ||
| Microalbuminuria (mg/L) | Model 1 | −0.040 | 0.119 | 0.021 | 0.436 | |
| Model 2 | −0.027 | 0.296 | 0.026 | 0.322 | ||
Model 1, adjusted for age; Model 2, adjusted for the following: age, sex, cigarette smoking, alcohol consumption, exercise, menopausal status (female), BMI, systolic blood pressure, diastolic blood pressure, TG, HDL-C, LDL-C, fasting glucose. Categorical variables (sex, cigarette smoking, alcohol consumption, exercise, menopausal status) were used as dummy variable, therefore assigned values of 1 (yes) and 0 (no), respectively. BMI, body mass index; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.