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Table 5 Logistic regression modelling of risk factors for NAFLD in patients with type 2 diabetes mellitus combined with fatty liver disease

From: The potential of insulin resistance indices to predict non-alcoholic fatty liver disease in patients with type 2 diabetes

Variable

Unadjusted

 

Model 1

 

Model2

 
 

OR(95%CI)

P value

OR(95%CI)

P value

OR (95%CI)

P value

TyG

3.415(2.223–5.245)

< 0.001

3.317(2.138–5.145)

< 0.001

2.875(1.521–5.434)

0.001

TyG-BMI

1.047(1.032–1.063)

< 0.001

1.047(1.031–1.062)

< 0.001

1.038(1.014–1.062)

0.002

TyG-WC

1.014(1.010–1.018)

< 0.001

1.014(1.009–1.018)

< 0.001

1.011(1.004–1.017)

0.002

TyG-WHR

4.512(2.631–6.553)

< 0.001

4.041(2.532–6.447)

< 0.001

3.478(1.764–6.861)

< 0.001

HOMA-IR

1.086(1.010–1.168)

0.027

1.080(1.003–1.163)

0.040

0.985(0.899–1.080)

0.75

  1. Model 1: adjusted for age and sex
  2. Model 2: adjusted for age, sex, blood pressure,BMI,fasting glucose, blood lipids and liver and kidney function
  3. Abbreviations: TyG Triglyceride glucose, TyG-BMI Triglyceride glucose-body mass index, TyG-WC Triglyceride Glucose-Waist Circumference, HOMA-IR Homeostasis model assessment of insulin resistance index