Table 2 Univariate and multivariate logistic regression analysis of baseline information.

From: An artificial neural network model for evaluating the risk of hyperuricaemia in type 2 diabetes mellitus

Variables

N = 8243

Uric acid status

Univariate analysis

Multivariate analysis

 

NUA group

HUA group

χ2

Degrees of freedom

p

OR (95%CI)

p

Age

 < 65R

2226

1195(26.7)

1031(27.4)

0.452

1

0.501

  

 ≥ 65

6017

3282(73.3)

2735(72.6)

Gender

MaleR

3588

2613(58.4)

975(25.9)

876.270

1

 < 0.001

4.09[3.67,4.57]

 < 0.001

Female

4655

1864(41.6)

2791(74.1)

Tobacco use

NoR

7211

3732(83.4)

3479(92.4)

151.120

1

 < 0.001

0.98[0.82,1.16]

0.776

Yes

1032

745(16.6)

287(7.6)

Drinking alcohol

NoR

7234

3779(84.4)

3455(91.7)

101.700

1

 < 0.001

1.06[0.90,1.26]

0.467

Yes

1009

698(15.6)

311(8.3)

Sport

AdequateR

6017

3353(74.9)

2664(70.7)

17.710

1

 < 0.001

1.13[1.02,1.25]

0.024

Lacking

2226

1124(25.1)

1102(29.3)

Waist circumference(cm)

Male < 90 /Female < 85R

4326

2602(58.1)

1724(45.8)

124.430

1

 < 0.001

1.45[1.30,1.63]

 < 0.001

Male ≥ 90/Female ≥ 85

3917

1875(41.9)

2042(54.2)

BMI (kg/m2)

 < 24.0R

3408

1996(44.6)

1412(37.5)

42.107

1

 < 0.001

1.08[0.96,1.21]

0.177

 ≥ 24.0

4835

2481(55.4)

2354(62.5)

Disease duration (years)

 < 10R

4710

2544(56.8)

2166(57.5)

0.371

1

0.543

  

 ≥ 10

3533

1933(43.2)

1600(42.5)

Diabetes medication use

UseR

7214

3864(86.3)

3350(89.0)

12.867

1

 < 0.001

0.74[0.64,0.85]

 < 0.001

No

1029

613(13.7)

416(11.0)

SBP (mm Hg)

 < 130R

3224

1792(40.0)

1432(38.0)

3.360

1

0.067

  

 ≥ 130

5019

2685(60.0)

2334(62.0)

DBP (mm Hg)

 < 80R

4270

2420(54.1)

1850(49.1)

19.717

1

 < 0.001

1.27[1.16,1.40]

 < 0.001

 ≥ 80

3973

2057(45.9)

1916(50.9)

  1. R: reference, BMI: body mass index, SBP: systolic blood pressure, DBP: diastolic blood pressure, CI: confidence interval.