Table 2 Multiple logistics regression analysis for the relationship between lean body mass index, visceral fat mass index and lean body mass to visceral fat mass ratio with hyperuricemia
Independent variables | Model 1 (n=9646) | Model 2 (n=9646) | Model 3 (n=9646) | |||
|---|---|---|---|---|---|---|
OR (95%CI) | P-value | OR(95%CI) | P-value | OR (95%CI) | P-value | |
LMI | ||||||
 Per-SD | 1.91 (1.80, 2.02) | <0.001 | 1.96 (1.85, 2.09) | <0.001 | 1.88 (1.75, 2.01) | <0.001 |
 Q1 | 1.00 (ref) |  | 1.00 (ref) |  | 1.00 (ref) |  |
 Q2 | 1.90 (1.54, 2.35) | <0.001 | 1.98 (1.60, 2.45) | <0.001 | 1.81 (1.46, 2.26) | <0.001 |
 Q3 | 3.07 (2.51, 3.75) | <0.001 | 3.19 (2.61, 3.91) | <0.001 | 2.80 (2.25, 3.47) | <0.001 |
 Q4 | 5.91 (4.88, 7.15) | <0.001 | 6.44 (5.30, 7.82) | <0.001 | 5.37 (4.31, 6.69) | <0.001 |
 P for trend | <0.001 |  | <0.001 |  | <0.001 |  |
VFMI | ||||||
 Per-SD | 1.59 (1.51, 1.67) | <0.001 | 1.87 (1.75, 1.99) | <0.001 | 2.02 (1.88, 2.16) | <0.001 |
 Q1 | 1.00 (ref) |  | 1.00 (ref) |  | 1.00 (ref) |  |
 Q2 | 2.18 (1.78, 2.68) | <0.001 | 2.52 (2.05, 3.10) | <0.001 | 2.54 (2.06, 3.13) | <0.001 |
 Q3 | 3.32 (2.73, 4.03) | <0.001 | 4.44 (3.61, 5.46) | <0.001 | 4.61 (3.73, 5.69) | <0.001 |
 Q4 | 4.61 (3.81, 5.58) | <0.001 | 7.29 (5.87, 9.04) | <0.001 | 8.37 (6.70, 10.47) | <0.001 |
 P for trend | <0.001 |  | <0.001 |  | <0.001 |  |
Ln LMI/VFMI | ||||||
 Per-SD | 0.68 (0.64, 0.72) | <0.001 | 0.58 (0.54, 0.62) | <0.001 | 0.45 (0.42, 0.49) | <0.001 |
 Q1 | 1.00 (ref) |  | 1.00 (ref) |  | 1.00 (ref) |  |
 Q2 | 0.87 (0.75, 1.01) | 0.064 | 0.79 (0.68, 0.91) | <0.001 | 0.60 (0.51, 0.70) | <0.001 |
 Q3 | 0.70 (0.61, 0.82) | <0.001 | 0.58 (0.49, 0.68) | <0.001 | 0.40 (0.34, 0.48) | <0.001 |
 Q4 | 0.35 (0.30, 0.42) | <0.001 | 0.26 (0.21, 0.32) | <0.001 | 0.16 (0.13, 0.20) | <0.001 |
 P for trend | <0.001 |  | <0.001 |  | <0.001 |  |