Table 4.
Men (N = 553), low HGS (N = 37) | Women (N = 433), low HGS (N = 73) | |||||
---|---|---|---|---|---|---|
Odds ratio | 95% CI | P | Odds ratio | 95% CI | P | |
Age, years | 1.35 | 1.21, 1.51 | < 0.001 | 1.15 | 1.09, 1.21 | < 0.001 |
Uric acid (mg/dL) | 0.69 | 0.48, 0.98 | 0.041 | 0.14 | 0.54, 1.11 | 0.159 |
Income | 0.440 | 0.020 | ||||
1st quartile | Reference | Reference | ||||
2nd quartile | 0.58 | 0.18, 1.88 | 0.361 | 0.05 | 0.20, 0.98 | 0.045 |
3rd quartile | 1.51 | 0.48, 4.77 | 0.487 | 0.22 | 0.06, 0.78 | 0.019 |
4th quartile | 0.33 | 0.04, 3.17 | 0.340 | 0.31 | 0.09, 0.99 | 0.050 |
Current smoker | 0.84 | 0.28, 2.55 | 0.754 | 0.90 | 0.14, 2.19 | 0.916 |
Alcohol (ever) | 1.50 | 0.59, 3.86 | 0.398 | 0.71 | 0.36, 1.39 | 0.320 |
Physical activity (metS-h/week) | 0.318 | 0.930 | ||||
Low | Reference | |||||
Moderate | 0.53 | 0.22, 1.32 | 0.172 | 0.95 | 0.49, 1.86 | 0.883 |
High | 0.37 | 0.04, 3.32 | 0.377 | 0.76 | 0.36, 1.39 | 0.709 |
Resistance exercise (≥ 2 days/week) | 0.37 | 0.09, 1.48 | 0.160 | 0.53 | 0.16, 1.71 | 0.287 |
Inadequate protein intake | 2.68 | 1.06, 6.81 | 0.038 | 1.15 | 0.60, 2.22 | 0.670 |
BMI (kg/m2) | 0.800 | 0.157 | ||||
< 18.5 | 2.09 | 0.17, 25.5 | 0.564 | 2.51 | 0.37, 17.09 | 0.347 |
18.5–24.9 | Reference | Reference | ||||
≥ 25 | 1.70 | 0.11, 26.78 | 0.708 | 1.32 | 0.19, 9.40 | 0.783 |
Hypertension | 0.97 | 0.38, 2.48 | 0.956 | 0.63 | 0.31, 1.28 | 0.202 |
Diabetes | 0.54 | 0.17, 1.78 | 0.543 | 1.15 | 1.09, 1.22 | 0.044 |
Cardiovascular disease | 0.48 | 0.12, 1.89 | 0.482 | 0.55 | 0.14, 2.22 | 0.547 |
Metabolic syndrome | 1.45 | 0.48, 4.33 | 0.510 | 1.46 | 0.72, 2.99 | 0.298 |
Multivariate logistic regression analysis was used. Sex, age, uric acid, income (quartile), current smoking, alcohol (ever), physical activity, resistance exercise, protein intake, BMI, hypertension, diabetes, cardiovascular disease, and metabolic syndrome were included in the model by using enter method