A cross-sectional study on selected child health outcomes in India: Quantifying the spatial variations and identification of the parental risk factors

Parul Puri, Junaid Khan, Apurba Shil, Mohammad Ali

Research output: Contribution to journalArticle

Abstract

This study examined association between selected child health indicators- anaemia, stunting and no/incomplete immunization by inter-linking maternal characteristics at district level and parental characteristics at individual level. A spatial analysis and a binary logit model estimation were employed to draw inferences using the data from the fourth round of National Family Health Survey, 2015–16 of India. Significant spatial clustering of the selected child health outcomes was observed in the country. Mother’s educational attainment explained significant district level differential in the selected child health outcomes. At the individual level, parents who are very young, not-educated, socially excluded, belong to poor class were found to be significantly associated with the poor child health outcomes. This study indicates that parental characteristics, such as age, educational attainment and employment substantially determine child health in India, suggesting that an intervention by targeting the households where children are vulnerable is important to improve child health in the country.

Original languageEnglish (US)
Article number6645
JournalScientific reports
Volume10
Issue number1
DOIs
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'A cross-sectional study on selected child health outcomes in India: Quantifying the spatial variations and identification of the parental risk factors'. Together they form a unique fingerprint.

  • Cite this