Evidence map›Paper›PMID 35687570›Full record

ArticlePloS one2022

Region matters: Mapping the contours of undernourishment among children in Odisha, India.

Apoorva Nambiar, Satish B Agnihotri, Ashish Singh, Dharmalingam Arunachalam

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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Apoorva NambiarIITB-Monash Research Academy, Indian Institute of Technology Bombay, Powai, Mumbai, India.
Satish B AgnihotriCentre for Technology Alternatives for Rural Areas, Indian Institute of Technology Bombay, Powai, Mumbai, India.ORCID 0000-0002-0703-3185
Ashish SinghShailesh J. Mehta School of Management, Indian Institute of Technology Bombay, Powai, Mumbai, India.
Dharmalingam ArunachalamSchool of Social Sciences, Monash University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLevels of child undernutrition and its correlates exhibit considerable spatial variation at different levels of granularity. In India, such variations and their interrelation have not been studied at the sub-district level primarily due to the non-availability of good quality granular data. Given the sheer regional diversity in India, it is essential to develop a region-specific evidence base at the micro-level. DATA AND

objectivesThe current study utilised, for the first time, a sub-district level survey data (Concurrent Child Monitoring Survey-II, 2014-15) to investigate the statistically significant clusters and spatial patterns of burden of undernutrition among children. The emergence of distinct patterns at the level of natural geographical regions of the state-coastal, southern and northern regions, lead to a region-specific analysis to measure the impact of various demographic, socio-economic and maternal factors on the prevalence of undernutrition specific to the three regions, using the National Family Health Survey-IV unit-level data.

methodsThe spatial dependence and clustering of child undernourishment across sub-districts in Odisha were studied using various spatial statistical techniques, including spatial econometric models. Binary logistic regression was applied in the region-specific analysis.

resultsFindings indicated statistically significant spatial clustering of undernutrition among children in specific geographic pockets with poor sanitation, low institutional and skilled deliveries, poor maternal health reinforcing the need for inter-sectoral coordination. Disparities across the three natural-regions, suggest that the parameters requiring priority for intervention may differ across levels of overall development.

conclusionThe spatial clustering of different socio-demographic indicators in specific geographic pockets highlights the differential impact of these determinants on child undernutrition thereby reinforcing a strong need for targeted intervention in these areas. Present analysis and the evidence-based micro-level analysis can be utilised as a model for other Indian states and low-resource countries, making interventions more effective through multiple, synergistic and a multi-sectoral approach.

Indexed as

Child Nutrition DisordersMalnutritionChildHealth SurveysHumansIndiaSanitationSocioeconomic FactorsSpatial Analysis

Identifiers

PMID35687570
PMCPMC9187075

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