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

From: Prevalence of and risk factors for fatty liver in the general population of Northern Italy: the Bagnacavallo Study

  M1 M2 M3 M4 M5 M6
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
  1. Values are odds ratios and 95% confidence intervals (logistic regression)
  2. Abbreviations: M# model number, ALE altered liver enzymes, BMI body mass index, HDL high-density lipoprotein, AIC Akaike information criterion, BIC Bayesian information criterion, ROC-AUC area under the ROC curve, pseudo-R2 pseudo-squared R
  3. *p < 0.01; **p < 0.001