Egypt’s metabolic dysfunction associated steatotic liver disease: Genetic and dietary nexus, shaping artificial intelligence driven healthier future

Table 2 Logistic regression analysis investigating the association between various factors and metabolically dysfunction-associated steatotic liver disease

Logistic regression of significant variables	B	SE	OR	95%CI for OR	P value
BMI groups (reference normal BMI)					< 0.001
BMI (overweight vs normal BMI)	1.5	0.3	4.5	2.5-7.9	< 0.001
BMI (obese vs normal BMI)	3.3	0.3	27.5	14.6-51.7	< 0.001
HOMA-IR (elevated)	0.9	0.2	2.7	1.6-4.1	< 0.001
Age	0.1	0.01	1.06	1.03-1.08	< 0.001
Monounsaturated fatty acid	0.03	0.01	1.03	1.01-1.05	0.003
Very low-density lipoproteins	0.02	0.01	1.02	1.01-1.04	0.024
Normal BMI
Sex (males)	1.4	0.4	4.1	1.8-9.1	0.001
HOMA-IR groups (elevated)	1.2	0.4	3.4	1.5-7.6	0.003
High-density lipoprotein groups (low)	1.0	0.4	2.7	1.3-5.6	0.009
Overweight participants
Metabolic syndrome	1.0	0.5	2.7	1.1-6.8	0.033
Patients with obesity
HOMA-IR (elevated)	1.2	0.5	3.4	1.2-9.5	0.017
Age	0.1	0.02	1.13	1.08-1.2	< 0.001
Glycemic load	0.01	0.004	1.01	1.005-1.02	0.001

BMI: Body mass index; HOMA-IR: Homeostasis Model Assessment of Insulin Resistance; OR: Odds ratio; CI: Confidence interval.