Table 5.

Predictors of wasting and weight for height age score among children less than 24 months in Mtwara region, Tanzania.

Outcome Measure	Wasting (n = 148)		Wasting (n = 148)		Weight for Height Z-Score (n = 148)		Weight for Height 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	0.48 (0.17, 1.36)	0.17	0.32 (0.05, 1.95)	0.22	−0.02 (−0.05, 0.02)	0.36	−0.01 (−0.05, 0.02)	0.47
Sex	1.08 (0.07, 17.5)	0.96	1.10 (0.03, 41.7)	0.96	0.01 (−0.36, 0.38)	0.96	0.01 (−0.38, 0.39)	0.97
Child Dietary Diversity	0.42 (0.07, 2.66)	0.36	0.22 (0.01, 5.32)	0.35	−0.03 (−0.23, 0.18)	0.79	−0.04 (−0.25, 0.17)	0.71
Wealth score	1.18 (0.47, 3.01)	0.72	1.14 (0.28, 4.59)	0.85	−0.06 (−0.16, 0.05)	0.29	−0.04 (−0.14, 0.07)	0.47
AFB1 concentration	1.00 (1.00, 1.004)	0.56	1.00 (1.00, 1.01)	0.27	−0.001 (−0.001, −0.0001)	0.02	0.001 (−0.001, −0.0001)	0.02

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