Table 4.
Logistic regression analysis of different degrees of body fat distribution characteristics and hyperuricemia.
| Total body fat (%) | Trunk fat mass(g) | Android fat mass (g) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| <43.70 | ≥43.70 | p values | <18,575.70 | ≥18,575.70 | p values | <2,975.00 | ≥2,975.00 | p values | ||||||
| Reference | OR (95% CI) | Reference | OR (95% CI) | Reference | OR (95% CI) | |||||||||
| Model 1 | 1 | 2.733 (1.435,5.207) | 0.002 | 1 | 3.714 (1.903,7.249) | <0.001 | 1 | 4.191 (2.123,8.275) | <0.001 | |||||
| Model 2 | 1 | 1.581 (0.553,4.516) | 0.392 | 1 | 2.835 (0.749,10.721) | 0.125 | 1 | 2.676 (0.738,9.710) | 0.134 | |||||
| Model 3 | 1 | 1.432 (0.435,4.719) | 0.555 | 1 | 1.764 (0.399,7.794) | 0.454 | 1 | 2.025 (0.477,8.597) | 0.339 | |||||
| Model 4 | 1 | 1.455 (0.423,5.006) | 0.552 | 1 | 2.450 (0.516,11.638) | 0.260 | 1 | 2.740 (0.591,12.708) | 0.198 | |||||
| Gynoid fat mass (g) | VAT mass (g) | Abdominal SAT mass (g) | ||||||||||||
| <5,204.00 | ≥5,204.00 | p values | <819.50 | ≥819.50 | p values | <2,149.00 | ≥2,149.00 | p values | ||||||
| Reference | OR (95% CI) | Reference | OR (95% CI) | Reference | OR (95% CI) | |||||||||
| Model 1 | 1 | 3.327 (1.721,6.431) | <0.001 | 1 | 5.176 (2.510,10.675) | <0.001 | 1 | 3.823 (1.931,7.568) | <0.001 | |||||
| Model 2 | 1 | 1.232 (0.430,3.535) | 0.697 | 1 | 6.409(1.670,24.589) | 0.007 | 1 | 2.023(0.545,7.510) | 0.293 | |||||
| Model 3 | 1 | 1.070 (0.343,3.345) | 0.907 | 1 | 5.292 (1.228,22.809) | 0.025 | 1 | 1.657 (0.387,7.101) | 0.496 | |||||
| Model 4 | 1 | 1.452(0.406,5.198) | 0.566 | 1 | 7.258(1.483,35.529) | 0.014 | 1 | 1.779(0.395,8.014) | 0.453 | |||||
OR, odds ratio; CI, confidence interval. Model 1: adjusted for age; Model 2: adjusted for age, BMI, hypertension; Model 3: adjusted for age, BMI, hypertension, HbA1c, HOMA-IR, ALT, TG; Model 4: adjusted for age, BMI, hypertension, HbA1c, HOMA-IR, ALT, TG, TT. The bold values indicate statistical significance.