. 2023 Jan 19;12:100142. doi: 10.1016/j.lansea.2023.100142

Table 4.

Predictors of Metabolically Unhealthy state and elevated ALT.

Subjects included in the regression model	Subjects with the outcome	Independent variables (n)	Coefficient of regression	SE	Odds ratio (95% CI)	p value
Predictors of Metabolically Unhealthy state
Evaluated in Step 3 (n = 1403)	MU subjects (n = 885)	Age ≥30 years (n = 1148)	1.40	0.15	4.06 (3.04–5.42)	<0.0001
Evaluated in Step 3 (n = 1403)	MU subjects (n = 885)	Presence of abdominal obesity (n = 394)	0.51	0.13	1.66 (1.28–2.17)	<0.0001
Predictors of persistently elevated ALT in subjects with IFG (Prediabetes) and Diabetes
Subjects having IFG/DM (n = 900)	Subjects with persistently elevated ALT (n = 376)	Age ≥30 years (n = 814)	−0.76	0.23	0.47 (0.29–0.74)	0.0017
Subjects having IFG/DM (n = 900)	Subjects with persistently elevated ALT (n = 376)	Presence of abdominal obesity (n = 268)	0.88	0.15	2.42 (1.78–3.24)	<0.0001

ALT, Alanine Aminotransferase; CI, Confidence Interval; DM, Diabetes Mellitus; IFG, Impaired Fasting Glucose; MU, Metabolically Unhealthy; SE, Standard Error.

Predictors were derived from Binary logistic regressions (Backward method with Likelihood Ratio); Abdominal obesity was defined as waist circumference ≥90 cm in male and ≥80 cm in female, specific for South-Asian ethnicity.