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Research ArticleArticle

Changes in Waist Circumference and Body Mass Index in Relation to Changes in Serum Uric Acid in Japanese Individuals

NOBUKAZU ISHIZAKA, YUKO ISHIZAKA, AKIKO TODA, MIZUKI TANI, KAZUHIKO KOIKE, MINORU YAMAKADO and RYOZO NAGAI
The Journal of Rheumatology February 2010, 37 (2) 410-416; DOI: https://doi.org/10.3899/jrheum.090736
NOBUKAZU ISHIZAKA
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YUKO ISHIZAKA
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AKIKO TODA
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MIZUKI TANI
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KAZUHIKO KOIKE
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MINORU YAMAKADO
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RYOZO NAGAI
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    Figure 1

    Scatterplot and linear regression between waist circumference at the first visit (WC1) and uric acid at the first visit (UA1) and those between body mass index at the first visit (BMI1) and UA1 in premenopausal and postmenopausal women and in men. Serum uric acid values were not adjusted for age or other possible confounders.

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    Figure 2

    Scatterplot and linear regression between percentage change in waist circumference (%dWC) and percentage change in uric acid (%dUA), and those between percentage change in BMI (%dBMI) and %dUA in premenopausal and postmenopausal women and in men. Serum uric acid values were not adjusted for age or other possible confounders.

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    Table 1

    Baseline characteristics at the first visit according to %dUA quartiles.

    %dUA Quartile
    VariablesTotal, nFirst (range -47.2/–7.5)Second (range –7.4/–1.2)Third (range 0.0/7.1)Fourth (range 7.2/77.8)p for Trend
    Women/men1185/1968290/496252/483327/514316/475
    Baseline data at visit 1
      Age, yrs52.8 ± 10.252.6 ± 10.653.3 ± 10.152.9 ± 10.052.3 ± 10.20.225
      Waist circumference, cm82.3 ± 9.282.8 ± 9.682.7 ± 9.182.2 ± 8.781.7 ±9.30.074
      Body mass index, kg/m222.8 ± 3.123.0 ± 3.322.8 ± 3.022.8 ± 3.022.6 ± 3.10.056
      Systolic blood pressure, mmHg123 ± 19124 ± 20123 ± 19122 ± 19123 ± 190.636
      LDL-cholesterol, mg/dl129.1 ± 31.2130.2 ± 31.3129.4 ± 29.5129.8 ± 31.3126.9 ± 32.20.147
      HDL-cholesterol, mg/dl60.7 ± 15.360.7 ± 15.860.5 ± 15.560.8 ± 14.860.9 ± 15.10.980
      Triglyceride, mg/dl111 ± 72112 ± 75115 ± 81109 ± 67109 ± 650.249
      Uric acid, mg/dl5.5 ± 1.35.8 ± 1.55.7 ± 1.25.4 ± 1.35.1 ± 1.2< 0.001
      Fasting glucose, mg/dl96 ± 2197 ± 2096 ± 1995 ± 1896 ± 250.486
      Hemoglobin A1c, %5.3 ± 0.75.3 ± 0.75.3 ± 0.75.3 ± 0.75.3 ± 0.90.941
      Blood urea nitrogen, mg/dl14.1 ± 3.514.6 ± 4.014.3 ± 3.214.1 ± 3.313.6 ± 3.5< 0.001
      Serum creatinine, mg/dl0.77 ± 0.290.79 ± 0.420.78 ± 0.150.76 ± 0.150.75 ± 0.340.068
      Estimated glomerular filtration rate, ml/min/1.73m268.3 ± 11.867.3 ± 11.867.8 ± 11.568.1 ± 11.470.2 ± 12.4< 0.001
      Antihypertensive medication, n (%)306 (9.7)78 (9.9)78 (10.6)76 (9.0)74 (9.4)0.736
      Antidiabetic medication, n (%)74 (2.3)19 (2.4)14 (1.9)24 (2.9)17 (2.1)0.632
      Postmenopause (female), n (%)649 (54.8)152 (52.4)141 (56.0)194 (59.3)162 (51.3)0.165
      Current smoker, n (%)734 (23.3)180 (22.9)173 (23.5)197 (23.4)184 (23.3)0.992
    Percent change between 2 visits
      %dBMI–0.28 ± 3.1–0.70 ± 3.41–0.46 ± 3.060.01 ± 2.88–0.03 ± 2.98< 0.001
      %dWC0.17 ± 6.12–0.02 ± 6.33–0.35 ± 6.140.64 ± 6.140.35 ± 5.830.008
      %deGFR1.8 ± 10.06.3 ± 10.02.6 ± 9.00.9 ± 9.1–2.5 ± 10.0< 0.001
    • View popup
    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.

    • View popup
    Table 3

    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)pOR (95% CI)p
    Premenopausal women
      Model 1
      %dBMI quartile
        First1.19 (0.73, 1.94)0.474
        2 and 31 Reference
        40.65 (0.42, 0.99)0.0461.00 Reference
      Model 2
      %dBMI quartile
        First1.41 (0.85, 2.34)0.181
        2 and 31.00 Reference
        40.71 (0.45, 1.10)0.1261.00 Reference
        %deGFR0.93 (0.91, 0.95)< 0.0011.06 (1.04, 1.08)< 0.001
        %dBPs0.99 (0.97, 1.01)0.2251.00 (0.98, 1.02)0.804
    Postmenopausal women
      Model 1
      %dBMI quartile
         First2.04 (1.37, 3.03)< 0.001
         2 and 31.00 Reference
         41.60 (1.06, 2.41)0.0251.00 Reference
      Model 2
      %dBMI
        First2.04 (1.35, 3.07)0.001
        2 and 31.00 Reference
        41.72 (1.12, 2.63)0.0131.00 Reference
        %deGFR0.95 (0.93, 0.97)< 0.0011.05 (1.03, 1.07)< 0.001
        %dBPs0.98 (0.97, 1.00)0.0391.00 (0.98, 1.01)0.684
    Men
      Model 1
      %dBMI quartile
        First1.35 (1.07, 1.69)0.011
        2 and 31.00 Reference
         41.38 (1.08, 1.76)0.0101.00 Reference
      Model 2
      %dBMI quartile
        First1.46 (1.14, 1.86)0.002
        2 and 31.00 Reference
         41.49 (1.15, 1.92)0.0021.00 Reference
        %deGFR0.94 (0.92, 0.95)< 0.0011.07 (1.06, 1.08)< 0.001
        %dBPs1.00 (0.99, 1.01)0.3001.00 (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.

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Changes in Waist Circumference and Body Mass Index in Relation to Changes in Serum Uric Acid in Japanese Individuals
NOBUKAZU ISHIZAKA, YUKO ISHIZAKA, AKIKO TODA, MIZUKI TANI, KAZUHIKO KOIKE, MINORU YAMAKADO, RYOZO NAGAI
The Journal of Rheumatology Feb 2010, 37 (2) 410-416; DOI: 10.3899/jrheum.090736

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Changes in Waist Circumference and Body Mass Index in Relation to Changes in Serum Uric Acid in Japanese Individuals
NOBUKAZU ISHIZAKA, YUKO ISHIZAKA, AKIKO TODA, MIZUKI TANI, KAZUHIKO KOIKE, MINORU YAMAKADO, RYOZO NAGAI
The Journal of Rheumatology Feb 2010, 37 (2) 410-416; DOI: 10.3899/jrheum.090736
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