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Table 3 Results of the adjustment of multivariate models for steatosis progression considering variables of the first evaluation of patients

From: Association between serum uric acid levels and incidence of nonalcoholic fatty liver disease in users of preventive medicine service in southern Brazil: a retrospective study

 

Variables included in the model

p*

OR**

IC 95%***

Model 1

E1# Uric acid

< 0.001

1.68

1.30–2.16

Model 2

E1# Uric acid

0.008

1.46

1.10–1.93

Sex

0.055

4.48

0.96–20.91

Model 3

E1# Uric acid

0.410

1.16

0.81–1.65

Sex

0.190

2.94

0.58–14.9

E1# AC$

< 0.001

1.10

1.05–1.15

Model 4

E1# Uric acid

0.479

1.14

0.79–1.65

Sex

0.185

3.06

0.58–16.2

E1# AC$

< 0.001

1.01

1.05–1.14

E1# Physical activity

0.137

0.55

0.25–1.21

Model 5

E1# Uric acid

0.534

1.12

0.78–1.62

Sex

0.243

2.72

0.50–14.8

E1# AC$

< 0.001

1.09

1.04–1.14

E1# Physical activity

0.110

0.52

0.23–1.16

E1# Dyslipidemia

0.012

2.7

1.24–5.89

Model 6

E1# Uric acid

0.181

1.38

0.85–2.23

Sex

0.570

1.67

0.28–10.1

E1# AC$

0.064

1.06

1.00–1.12

E1# Physical activity

0.118

0.45

0.16–1.24

E1# HbA1c%

0.583

1.23

0.59–2.57

Model 7

E1# Uric acid

0.269

1.32

0.80–2.16

Sex

0.548

1.73

0.28–10.7

E1# AC$

0.103

1.05

0.99–1.11

E1# Physical activity

0.066

0.37

0.13–1.08

E1# Dyslipidemia

0.050

2.84

0.98–8.17

E1# HbA1c%

0.760

1.12

0.54–2.33

  1. *Logistic regression model and Wald test, p < 0.05. **OR (odds ratio). ***IC95% (95% confidence intervals). #E1 (evaluation 1). $AC (abdominal circumference). %HbA1c (glycated hemoglobin)