Table 6. Multiple linear regression models testing the relationship between serum uric acid and Handgrip strength categorized by gender.
| Handgrip strength | ||||
|---|---|---|---|---|
| Men N = 602 Women N = 847 | ||||
| Forced | Backward elimination | Forced | Backward elimination | |
| Characteristic | β (P-value*) | β (P-value*) | β (P-value*) | β (P-value*) |
| Age | -0.590 (<0.001) | -0.619 (<0.001) | -0.505 (<0.001) | -0.541 (<0.001) |
| Body mass index | 0.059 (0.109) | 0.062 (0.069) | 0.100 (0.003) | 0.093 (0.004) |
| Exercise habits | 0.011 (0.741) | —— | 0.021 (0.474) | —— |
| Smoking status | 0.020 (0.546) | —— | -0.025 (0.410) | —— |
| Drinking Status | 0.110 (0.002) | 0.104 (0.002) | 0.084 (0.007) | 0.081 (0.008) |
| Systolic blood pressure | -0.048 (0.329) | —— | -0.048 (0.322) | —— |
| Diastolic blood pressure | 0.066 (0.203) | —— | 0.119 (0.011) | 0.087 (0.005) |
| Antihypertensive medication | -0.010 (0.779) | —— | -0.046 (0.165) | -0.056 (0.086) |
| Triglycerides | 0.025 (0.490) | —— | -0.050 (0.153) | —— |
| HDL cholesterol | 0.079 (0.039) | 0.071 (0.042) | -0.030 (0.390) | —— |
| LDL cholesterol | 0.119 (<0.001) | 0.124 (<0.001) | 0.031 (0.343) | —— |
| Antidyslipidemic medication | 0.031 (0.353) | —— | 0.068 (0.038) | 0.055 (0.075) |
| Hemoglobin A 1c | 0.004 (0.920) | —— | 0.007 (0.845) | —— |
| Antidiabetic medication | -0.028 (0.441) | —— | -0.032 (0.372) | —— |
| eGFRCKDEPI | -0.146 (<0.001) | -0.142 (<0.001) | -0.116 (0.003) | -0.117 (0.003) |
| Serum uric acid | -0.019 (0.596) | —— | 0.073 (0.037) | 0.069 (0.044) |
| R2 | 0.404 (<0.001) | 0.399 (<0.001) | 0.270 (<0.001) | 0.254 (<0.001) |
β, standardized coefficient, R2, coefficient of determination.
*Adjusted for all confounding factors. Data for triglycerides was skewed and log-transformed for analysis. (——) did not remain in the final model by multiple linear regression analysis.