Table 3.

Regression Models for Milk-Retinol Allocation Index predicted by maternal characteristics

Predictor	Model A (n=171)a				Model B (n=113)b
	β	S.E.	Beta	P	β	S.E.	Beta	P
Parity	−0.015	0.019	−0.770	0.441	−0.014	0.023	−0.600	0.548
Retinol Intake	−0.001	0.000	−1.070	0.285	0.000	0.001	−0.850	0.396
β-carotene Intake	0.000	0.000	0.780	0.433	0.000	0.000	0.830	0.404
Vitamin A Deficiency	0.238	0.091	2.600	0.009	0.123	0.099	1.240	0.214
Vitamin A Supplementation	0.051	0.096	0.530	0.597	−0.100	0.110	−0.910	0.361
Age	0.001	0.006	0.170	0.867	−0.001	0.007	−0.140	0.891
Postpartum Time	0.000	0.000	0.060	0.951	0.000	0.000	−0.240	0.808
Breastfeeding Frequency	−0.001	0.009	−0.160	0.870	−0.006	0.010	−0.590	0.553
Arm Fat Area	−0.003	0.004	−0.900	0.367	−0.005	0.005	−0.940	0.346
Creamatocrit	0.037	0.011	3.270	0.001	0.045	0.014	3.150	0.002
Korr	0.148	0.108	1.370	0.171	0.183	0.125	1.470	0.142
Kituruni	0.209	0.087	2.400	0.016	0.117	0.098	1.200	0.232
Karare (ref.)
Land Ownership	0.165	0.060	2.730	0.006	0.072	0.076	0.940	0.348
Acute Phase Response	0.186	0.091	2.030	0.042	0.212	0.107	1.990	0.047
Constant	−3.099	0.184	−16.830	0.000	−2.777	0.242	−11.480	0.000

^aAll mothers; n=171, Wald χ²(14)=46.41, P<0.0001

^bExclusive of sub-range milk retinol specimens; n=113, Wald χ²(14)=23.59, P=0.05