Table 4.

A lagged linear regression model showing the predictive effect of the interaction between food insecurity and water insecurity at 18 months, and HIV positive status on maternal depressive symptomatology at 21 months postpartum using a maximum likelihood estimator with robust standard errors (n = 183).^†

	Model 1	Model 2	Model 3	Model 4
	β (95% CI)	β (95% CI)	β (95% CI)	β (95% CI)
Asset score	−0.72 (−1.39, −0.04)*	−0.69 (−1.36, 0.03)*	−0.72 (−1.38, 0.05)*	−0.61 (−1.25, 0.04)
Food insecurity	0.26 (−0.04, 0.57)	0.07 (−0.29, 0.42)	0.23 (−0.07, 0.54)	0.48 (−0.06, 1.02)
Water insecurity	0.02 (−0.09, 0.12)	−0.29 (−0.59, 0.01)	0.01 (−0.09, 0.12)	−0.09 (−0.53, 0.36)
Food insecurity * water insecurity		0.03 (0.002, 0.06)*		−0.01 (−0.05, 0.04)
HIV positive			2.22 (0.06, 4.38)*	5.43 (0.18, 10.69)*
HIV positive * food insecurity				−0.67 (−134, 0.01)
HIV positive * water insecurity				−0.34 (−0.93, 0.25)
Food insecurity * water insecurity * HIV positive				0.06 (0.001, 0.11)*
Bayesian Information Criterion (BIC)	4257.45	5929.75	4546.11	9542.47
R-squared	0.07	0.09	0.09	0.16

^†Sensitivity analyses using Bayesian estimation are available in Supplementary Table 2;

^*p < 0.05;

^**p < 0.01;

^***p < 0.001;

all significance at 2-tailed p-value; 95% CI = 95% confidence interval; β represents the unstandardized amount of change in the outcome (CES-D scores) per unit change in the predictor.