ArticleScientific reports2020
A cross-sectional study on selected child health outcomes in India: Quantifying the spatial variations and identification of the parental risk factors.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 36 citations in OpenAlex.
- Review
- Decomposing rural-urban gap in unsafe disposal practice of child stool in India using nationwide sample survey data.Scientific reports · 2024Article
- Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India.Nutrients · 2023Article
- Exploring a spatial template for targetted supplementation of vitamin A in under-5 Indian children.Pediatric research · 2023Article
- Prevalence and correlates of adolescent pregnancy, motherhood and adverse pregnancy outcomes in Uttar Pradesh and Bihar.BMC pregnancy and childbirth · 2023Article
- A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis.SN computer science · 2023Article
- Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach.BMC public health · 2022Article
- Estimates and correlates of district-level maternal mortality ratio in India.PLOS global public health · 2022Article
- Mapping of mothers' suffering and child mortality in Sub-Saharan Africa.Scientific reports · 2021Article
- The burden of anthropometric failure and child mortality in India.Scientific reports · 2020Article
- Identifying spatial variation in the burden of diabetes among women across 640 districts in India: a cross-sectional study.Journal of diabetes and metabolic disorders · 2020Article
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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