Logistic Modelling On Maternal And Child Health: A Case Study Of Punjab Districts

Abstract

Background:  utilization of adequate maternal health services is a crucial determinant for healthy motherhood and new infant. There are umpteen number of factors that work behind maternal and child healthcare such as antenatal care, postnatal care, healthy nutrition & diet, income status and social factors.  Methods: To investigate the impact of such factors, a cross sectional study was performed in sample villages of Barnala and Sangrur (High Priority Districts) of Punjab. The sample of 620 female respondents were interviewed for examining the maternal and child health status, which further analyzed through Multinominal Logistic Regression.  Results: The model revealed that maternal care, mother’s qualification, wealth status, childcare and intake of diet were found significant and influenced the health of their newborn. Although massive, strategic investments are persistently made under the national health programmes, but there is need of holistic care toward women and child for sustainable development.