Table 2.

Independent variables entered in binary logistic regression analysis based on dependent variable

Dependent Variable	Independent Variables
A. Nutritional Status based on Composite Index of Anthropometric Failure (CIAF)
Anthropometric failure	Mother’s height, mother’s education, mother’s working status, child’s age, history of infectious diseases, early initiation of breastfeeding, frequency of consumption of energy sources, frequency of consumption of protein sources, cooking water source
B. Nutritional Status based on Conventional (Single) Anthropometric Index
Underweight	Mother’s age, mother’s height, mother’s education, family income, child age, early initiation of breastfeeding, frequency of consumption of energy sources, frequency of consumption of protein sources, cooking water source, hand-washing habits
Stunting	Mother’s height, mother’s education, mother’s working status, family income, parenting, child’s age, history of infectious diseases, early initiation of breastfeeding, frequency of consumption of energy sources, frequency of consumption of protein sources, cooking water source
Wasting	Child’s age, history of infectious diseases, home’s relative humidity