Logistic regression analysis using the highest or lowest %dUA quartile as the dependent variable.
Independent Variable | ||||
---|---|---|---|---|
%dUA ≥ 7.2% | %dUA < –7.5% | |||
OR (95% CI) | p | OR (95% CI) | p | |
Premenopausal women | ||||
Model 1 | ||||
%dBMI quartile | ||||
First | 1.19 (0.73, 1.94) | 0.474 | ||
2 and 3 | 1 Reference | |||
4 | 0.65 (0.42, 0.99) | 0.046 | 1.00 Reference | |
Model 2 | ||||
%dBMI quartile | ||||
First | 1.41 (0.85, 2.34) | 0.181 | ||
2 and 3 | 1.00 Reference | |||
4 | 0.71 (0.45, 1.10) | 0.126 | 1.00 Reference | |
%deGFR | 0.93 (0.91, 0.95) | < 0.001 | 1.06 (1.04, 1.08) | < 0.001 |
%dBPs | 0.99 (0.97, 1.01) | 0.225 | 1.00 (0.98, 1.02) | 0.804 |
Postmenopausal women | ||||
Model 1 | ||||
%dBMI quartile | ||||
First | 2.04 (1.37, 3.03) | < 0.001 | ||
2 and 3 | 1.00 Reference | |||
4 | 1.60 (1.06, 2.41) | 0.025 | 1.00 Reference | |
Model 2 | ||||
%dBMI | ||||
First | 2.04 (1.35, 3.07) | 0.001 | ||
2 and 3 | 1.00 Reference | |||
4 | 1.72 (1.12, 2.63) | 0.013 | 1.00 Reference | |
%deGFR | 0.95 (0.93, 0.97) | < 0.001 | 1.05 (1.03, 1.07) | < 0.001 |
%dBPs | 0.98 (0.97, 1.00) | 0.039 | 1.00 (0.98, 1.01) | 0.684 |
Men | ||||
Model 1 | ||||
%dBMI quartile | ||||
First | 1.35 (1.07, 1.69) | 0.011 | ||
2 and 3 | 1.00 Reference | |||
4 | 1.38 (1.08, 1.76) | 0.010 | 1.00 Reference | |
Model 2 | ||||
%dBMI quartile | ||||
First | 1.46 (1.14, 1.86) | 0.002 | ||
2 and 3 | 1.00 Reference | |||
4 | 1.49 (1.15, 1.92) | 0.002 | 1.00 Reference | |
%deGFR | 0.94 (0.92, 0.95) | < 0.001 | 1.07 (1.06, 1.08) | < 0.001 |
%dBPs | 1.00 (0.99, 1.01) | 0.300 | 1.00 (0.99, 1.01) | 0.715 |
Model 1. Independent variables include age, UA1, BMI1, and %dBMI quartiles. Model 2. Independent variables include Model 1 + %dBPs and %deGFR. UA: uric acid; BMI: body mass index; BPs: systolic blood pressure; eGFR: estimated glomerular filtration rate.