Table 2 Logistic regression models used to investigate the association between fatty liver and potential risk factors

ALE

5.3** [4.1 to 6.9]

5.1** [3.9 to 6.7]

3.9** [2.9 to 5.2]

4.0** [3.0 to 5.4]

4.2** [3.2 to 5.6]

3.7** [2.8 to 5.0]

Male

–

2.1** [1.7 to 2.5]

2.0** [1.6 to 2.5]

2.1** [1.7 to 2.6]

2.0** [1.6 to 2.4]

2.4** [1.9 to 3.0]

Age (years) / 10

–

1.8** [1.6 to 2.0]

1.6** [1.4 to 1.8]

1.5** [1.4 to 1.7]

1.5** [1.4 to 1.7]

1.4** [1.3 to 1.6]

BMI (kg/m²) / 5

–

–

3.9** [3.3 to 4.5]

–

–

–

Alcohol intake (units)

–

–

1.0 [0.9 to 1.0]

1.0 [1.0 to 1.1]

–

–

Waist circumference (cm) / 10

–

–

–

2.5** [2.3 to 2.8]

–

–

Metabolic syndrome

–

–

–

–

5.1** [4.1 to 6.3]

–

Large waist circumference

–

–

–

–

–

2.9** [2.3 to 3.8]

High triglycerides

–

–

–

–

–

3.1** [2.4 to 3.9]

Low HDL

–

–

–

–

–

1.6* [1.2 to 2.2]

High blood pressure

–

–

–

–

–

1.9** [1.5 to 2.3]

High glucose

–

–

–

–

–

2.0** [1.5 to 2.6]

n

2159

2159

2159

2159

2159

2159

AIC

2750

2595

2131

2244

2376

2266

BIC

2762

2618

2165

2278

2405

2317

ROC-AUC

0.61

0.72

0.83

0.81

0.79

0.81

Pseudo-R² (Nagelkerke)

0.11

0.20

0.42

0.37

0.31

0.36