Table 4.

Predictors of stunting among children less than 24 months old in Mtwara region, Tanzania.

Outcome Measure	Stunting (n = 148)		Stunting (n = 148)		Height for Age Z-Score (n = 148)		Height for Age Z-Score (n = 148)
	Univariate		Multivariate		Univariate		Multivariate
Independent Variable	Odds Ratio (Confidence Interval)	p	Odds Ratio (Confidence Interval)	p	Beta (Confidence Interval)	p	Beta (Confidence Interval)	p
Age	1.14 (1.05, 1.24)	0.002	1.17 (1.06, 1.29)	0.001	−0.10 (−0.15, −0.06)	<0.0001	−0.12 (−0.16, −0.07)	0.00
Sex	1.18 (0.55, 2.55)	0.67	1.08 (0.46, 2.58)	0.85	−0.31 (−0.76, 0.14)	0.18	−0.41 (−0.86, 0.04)	0.08
Child Dietary Diversity	0.82 (0.53, 1.27)	0.34	0.94 (0.58, 1.52)	0.81	0.15 (−0.10, 0.39)	0.25	0.12 (−0.13, 0.37)	0.34
Wealth score	1.18 (0.92, 1.51)	0.62	1.19 (0.91, 1.55)	0.20	−0.05 (−0.18, 0.08)	0.43	−0.04 (−0.17, 0.08)	0.48
AFB1 concentration	1.00 (0.99, 1.00)	0.05	0.99 (0.99, 1.00)	0.05	0.00 (0.00003, 0.002)	0.04	0.001 (0.0003, 0.002)	0.04

Odds ratios, confidence intervals and p values were obtained via logistic regression models with the binary indicator stunting while beta values and confidence intervals were obtained via linear regression for the continuous outcome height for age z score. In the univariate model, the predictors age, gender, dietary diversity score, and wealth score were tested as independent predictor variables and included as confounders in the multivariate model.