Table 2 Hierarchical multiple regression analysis of variables predicting mean liver attenuation in 88 adult survivors of severe acute malnutrition.

Models	Predictors	B	SE	P-value	95.0% CI for B		R²	R² change	P-value F change
Models	Predictors	B	SE	P-value	Lower	Upper	R²	R² change	P-value F change
Step 1	Age	− 0.026	0.059	0.659	− 0.143	0.911	0.021
	Sex	− 0.968	0.993	0.332	− 2.942	1.007
	Oedematous malnutrition	0.957	1.014	0.343	− 1.050	2.981
Step 2	Age	− 0.091	0.074	0.224	− 0.238	0.057	0.100	0.079	0.028*
	Sex	− 0.682	1.169	0.562	− 3.020	1.655
	Oedematous malnutrition	2.614	1.272	0.044*	0.071	5.158
	Birth weight (kg)	− 1.790	0.814	0.032*	− 3.417	− 0.163
Step 3	Age	− 0.132	0.082	0.115	− 0.296	0.033	0.118	0.018	0.267
	Sex	− 1.276	1.282	0.323	− 3.840	1.287
	Oedematous malnutrition	2.428	1.280	0.063	− 0.133	4.989
	Birth weight	− 1.827	0.813	0.028*	− 3.452	− 0.201
	BMI (kg/m²)	0.137	0.123	0.268	− 0.108	0.382

*P < 0.05.
B unstandardized regression coefficient, SE standard error, P p-value for the unstandardized regression coefficient for the model, CI confidence intervals, R² coefficient of determination, R² change the improvement in R-square when a predictor is added, P-value F-change p-value for the test of the R² change. Coding for sex was male (0) and female (1). Coding for SAM diagnosis was oedematous malnutrition (1) and severe wasting (2). Mean liver attenuation has an inverse association with liver fat.

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