Table 2

Stepwise multiple regression analysis using %dUA as the dependent variable.

ß(95% CI)Standardized ßp
Premenopausal women
  Model 1
    UA1–4.21(–5.42, –3.00)–0.28< 0.001
  Model 2
    UA1–4.21(–5.42, –3.00)–0.28< 0.001
  Model 3
    UA1–4.21(–5.42, –3.00)–0.28< 0.001
  Model 4
    %deGFR–0.43(–0.53, –0.33)–0.34< 0.001
    UA1–3.70(–4.84, –2.56)–0.25< 0.001
  Model 5
    %deGFR–0.43(–0.53, –0.33)–0.34< 0.001
    UA1–3.70(–4.84, –2.56)–0.25< 0.001
Postmenopausal women
  Model 1
    UA1–3.09(–4.05, –2.13)–0.24< 0.001
  Model 2
    UA1–3.04(–4.00, –2.09)–0.24< 0.001
    %dBMI0.53(0.26, 0.81)0.14< 0.001
  Model 3
    UA1–3.04(–4.00, –2.09)–0.24< 0.001
    %dBMI0.53(0.26, 0.81)0.14< 0.001
  Model 4
    %deGFR–0.33(–0.41, –0.25)–0.30< 0.001
    UA1–2.83(–3.73, –1.92)–0.22< 0.001
    %dBMI0.55(0.29, 0.81)0.15< 0.001
  Model 5
    %deGFR–0.33(–0.41, –0.25)–0.30< 0.001
    UA1–2.83(–3.73, –1.92)–0.22< 0.001
    %dBMI0.55(0.29, 0.81)0.15< 0.001
Men
  Model 1
    UA1–2.51(–2.90, –2.12)–0.27< 0.001
    %dWC0.14(0.04, 0.25)0.060.008
  Model 2
    UA1–2.49(–2.88, –2.10)–0.27< 0.001
    %dBMI0.32(0.17, 0.48)0.09< 0.001
  Model 3
    UA1–2.51(–2.89, –2.12)–0.27< 0.001
    %dBMI0.38(0.22, 0.54)0.10< 0.001
    %dBPs–0.06(–0.10, –0.02)–0.060.006
  Model 4
    %deGFR–0.36(–0.40, –0.31)–0.32< 0.001
    UA1–2.29(–2.66, –1.92)–0.25< 0.001
    %dBMI0.35(0.21, 0.50)0.10< 0.001
  Model 5
    %deGFR–0.36(–0.40, –0.31)–0.32< 0.001
    UA1–2.29(–2.66, –1.92)–0.25< 0.001
    %dBMI0.35(0.21, 0.50)0.10< 0.001
  • Model 1. Independent variables include age, UA1, WC1, and %dWC. Model 2. Independent variables include Model 1 + BMI1 and %dBMI. Model 3. Independent variables include Model 2 + %dBPs. Model 4. Independent variables include Model 2 + %deGFR. Model 5. Independent variables include Model 2 + %dBPs and %deGFR. UA: uric acid; BMI: body mass index; BPs: systolic blood pressure; eGFR: estimated glomerular filtration rate.