Table 2 Results of logistic regression analyses for the relationships between obesity indicators and gout risk

BMI

2.110(1.773–2.512)

< 0.001

2.209(1.848–2.641)

< 0.001

1.775(1.468–2.145)

< 0.001

Quartile1

1

< 0.001

1

< 0.001

1

< 0.001

Quartile2

20,219(2.642-3.000)

< 0.001

2.097(1.549–2.840)

< 0.001

1.888(1.380–2.582)

< 0.001

Quartile3

2.619(1.951–3.516)

< 0.001

2.408(1.791–3.238)

< 0.001

1.999(1.469–2.721)

< 0.001

Quartile4

3.923(2.960–5.200)

< 0.001

3.819(2.873–5.077)

< 0.001

2.751(2.034–3.720)

< 0.001

P for trend

< 0.001

< 0.001

< 0.001

WC

1.978(1.646–2.377)

< 0.001

2.105(1.750–2.533)

< 0.001

1.691(1.394–2.053)

< 0.001

Quartile1

1

< 0.001

1

< 0.001

1

< 0.001

Quartile2

2.358(1.705–3.261)

< 0.001

2.056(1.484–2.849)

< 0.001

1.869(1.336–2.614)

< 0.001

Quartile3

3.211(2.348–4.392)

< 0.001

2.602(1.897–3.568)

< 0.001

2.139(1.539–2.966)

< 0.001

Quartile4

5.057(3.753–6.814)

< 0.001

4.051(2.998–5.473)

< 0.001

2.999(2.185–4.118)

< 0.001

P for trend

< 0.001

< 0.001

< 0.001

WHR

2.143(1.592–2.884)

< 0.001

2.375(1.762–3.202)

< 0.001

1.858(1.367–2.524)

< 0.001

Quartile1

1

< 0.001

1

< 0.001

1

< 0.001

Quartile2

2.027(1.469–2.798)

< 0.001

1.669(1.206–2.309)

0.002

1.462(1.049–2.037)

0.025

Quartile3

2.877(2.120–3.904)

< 0.001

2.158(1.583–2.942)

< 0.001

1.834(1.335–2.520)

< 0.001

Quartile4

3.958(2.955–5.301)

< 0.001

3.212(2.556–4.037)

< 0.001

2.127(1.561–2.896)

< 0.001

P for trend

< 0.001

< 0.001

< 0.001

VFA

2.106(1.778–2.495)

< 0.001

1.870(1.576–2.219)

< 0.001

1.578(1.317–1.890)

< 0.001

Quartile1

1

< 0.001

1

< 0.001

1

< 0.001

Quartile2

1.322(0.992–1.761)

0.056

1.389(1.041–1.853)

0.026

1.266(0.940–1.704)

0.12

Quartile3

1.627(1.235–2.144)

0.001

1.577(1.195–2.081)

0.001

1.360(1.020–1.815)

0.036

Quartile4

3.274(2.548–4.207)

< 0.001

2.863(2.224–3.686)

< 0.001

2.259(1.730–2.950)

< 0.001

P for trend

< 0.001

< 0.001

< 0.001