Nutrition status is an important indicator of child health. This study
estimates the effect of socioeconomic determinants on children's nutritional
status of under five years of age. We apply the Composite Index of Anthropometric Failure (CIAF) in our empirical analysis as a proxy measure to denote the malnutrition measurement index, and a binary logistic regression model using PDHS dataset for 2017-18. The logistic regression
model inspects the probability of malnutrition among children. The result demonstrates that the age of children, education and employment status of mothers, BMI of mothers, assets owned by mothers, tetanus vaccination of mothers, the incidence of diarrhea in children, and household wealth has a significant impact on malnutrition in children. The study concludes that
socioeconomic deprivations and inequalities in society play a significant role in determining the health and nutrition of pre-school children.
1-Muhammad Shahid Health Economist, Department of Health Economics, Pakistan Institute of Development Economics, Islamabad, Pakistan.2-Inam Ullah Leghari Assistant Professor, Department of Anthropology, Quaid-i-Azam University, Islamabad, Pakistan.3-Farooq Ahmed Nutritional Anthropologist, Department of Anthropology, Quaid-i-Azam University, Islamabad, Pakistan.
Binary Logistic Model, CIAF, Pakistan Demographic, and Health Survey, Wealth Index