Table 4.
Logistic Regression Analysis for Association Between Anthropometric Indices and Hyperuricemia
| Q1 | Q2 | Q3 | Q4 | ||||
|---|---|---|---|---|---|---|---|
| OR (95% CI) | p values | OR (95% CI) | p values | OR (95% CI) | p values | ||
| ABSI | ≦0.77 | 0.77~0.78 | 0.78~0.80 | >0.80 | |||
| Model 1 | 1.000 (ref) | 0.542 (0.219~1.340) | 0.185 | 0.502 (0.220~1.144) | 0.101 | 0.574 (0.168~1.964) | 0.376 |
| Model 2 | 1.000 (ref) | 0.574 (0.252~1.308) | 0.186 | 0.740 (0.360~1.519) | 0.411 | 0.659 (0.220~1.979) | 0.457 |
| Model 3 | 1.000 (ref) | 0.475 (0.175~1.290) | 0.144 | 0.321 (0.110~0.935) | 0.037 | 0.342 (0.067~1.749) | 0.197 |
| BAI | ≦23.20 | 23.20~24.70 | 24.70~26.00 | >26.00 | |||
| Model 1 | 1.000 (ref) | 1.549 (0.765~3.136) | 0.224 | 1.046 (0.503~2.174) | 0.905 | 0.734 (0.329~1.638) | 0.450 |
| Model 2 | 1.000 (ref) | 1.648 (0.804~3.381) | 0.173 | 1.022 (0.485~2.152) | 0.955 | 0.551 (0.234~1.297) | 0.173 |
| Model 3 | 1.000 (ref) | 2.204 (0.969~5.015) | 0.059 | 1.435 (0.583~3.531) | 0.432 | 0.643 (0.209~1.976) | 0.643 |
| BRI | ≦2.50 | 2.50~2.90 | 2.90~3.30 | >3.30 | |||
| Model 1 | 1.000 (ref) | 0.673 (0.336~1.348) | 0.264 | 0.657 (0.315~1.371) | 0.263 | 0.955 (0.464~1.964) | 0.900 |
| Model 2 | 1.000 (ref) | 0.675 (0.333~1.365) | 0.274 | 0.544 (0.245~1.209) | 0.135 | 0.661 (0.276~1.583) | 0.353 |
| Model 3 | 1.000 (ref) | 0.972 (0.372~2.539) | 0.953 | 0.770 (0.207~2.867) | 0.697 | 1.255 (0.269~5.848) | 0.773 |
| VAI | ≦0.80 | 0.80~1.30 | 1.30~2.03 | >2.03 | |||
| Model 1 | 1.000 (ref) | 2.603 (1.125~6.020) | 0.025 | 3.123 (1.342~7.266) | 0.008 | 2.482 (1.059~5.816) | 0.036 |
| Model 2 | 1.000 (ref) | 2.899 (1.230~6.832) | 0.015 | 3.361 (1.419~7.959) | 0.006 | 2.813 (1.158~6.832) | 0.022 |
| Model 3 | 1.000 (ref) | 1.920 (0.751~4.907) | 0.173 | 1.588 (0.601~4.198) | 0.351 | 1.688 (0.639~4.461) | 0.291 |
| LAP | ≦12.66 | 12.66~19.55 | 19.55~28.69 | >28.69 | |||
| Model 1 | 1.000 (ref) | 1.147 (0.554~2.375) | 0.711 | 0.871 (0.406~1.867) | 0.723 | 1.163 (0.562~2.408) | 0.684 |
| Model 2 | 1.000 (ref) | 1.099 (0.514~2.349) | 0.808 | 0.914 (0.420~1.989) | 0.821 | 1.263 (0.580~2.751) | 0.557 |
| Model 3 | 1.000 (ref) | 1.125 (0.468~2.707) | 0.792 | 0.520 (0.206~1.312) | 0.166 | 0.709 (0.268~1.872) | 0.487 |
| CMI | ≦0.26 | 0.26~0.39 | 0.39~0.64 | >0.64 | |||
| Model 1 | 1.000 (ref) | 3.958 (1.053~14.878) | 0.042 | 6.991 (1.976~24.737) | 0.003 | 24.359 (7.184~82.591) | <0.001 |
| Model 2 | 1.000 (ref) | 4.232 (1.121~15.981) | 0.033 | 7.349 (2.067~26.123) | 0.002 | 25.684 (7.527~87.642) | <0.001 |
| Model 3 | 1.000 (ref) | 3.540 (0.875~14.326) | 0.076 | 5.488 (1.403~21.472) | 0.013 | 16.674 (4.424~62.846) | <0.001 |
Notes: Model 1 was crude, Model 2 adjusted for age and gender: Model 3 adjusted for age, gender, BMI and biochemical indicators (FPG, urea, SCr, TC and LDL-C).