Evidence map›Paper›PMID 35996127›Full record

ArticleBMC nutrition2022

Wealth related inequality in women and children malnutrition in the state of Chhattisgarh and Tamil Nadu.

P Shirisha, V R Muraleedharan, Girija Vaidyanathan

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Article in BMC nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

P ShirishaHumanities and Social Sciences Block, Indian Institute of Technology, Madras, India. hs17d010@smail.iitm.ac.in.
V R MuraleedharanHumanities and Social Sciences Block, Indian Institute of Technology, Madras, India.
Girija VaidyanathanHumanities and Social Sciences Block, Indian Institute of Technology, Madras, India.
Indian Institute of Technology Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChild and maternal malnutrition are the most serious health risks in India, accounting for 15% of the country's total disease burden. Malnutrition in children can manifest as 'stunting' (low height in relation to age) or 'wasting' (low weight in relation to height) or both and underweight or obesity among women. Other nutritional indicators show that India lags behind, with high levels of anaemia in women of reproductive age. The study aims to analyse the wealth related inequalities in the nutrition status among women and children of different wealth quintiles in a high focus state (Chhattisgarh; CG) and a non-high focus state (Tamil Nadu; TN) in India.

methodsWe used National Family Health Survey-3rd (2005-06) & 4th (2015-16) to study the trends and differentials of inequalities in the nutrition status. We have used two summary indices. - absolute inequalities using the slope index of inequality (SII), and relative inequalities using the concentration index (CIX).

resultsThere is reduction in wealth related inequality in nutrition status of women and children from all wealth quintiles between 2005-06 and 2015-16. However the reduction in inequality in some cases such as that of severe stunting among children was accompanied by increase among children from better off households The values of SII and CIX imply that malnutrition except obesity is still concentrated among the poor. The prevalence of anaemia (mild, moderate and severe) has reduced among women and children in the past decade. The converging pattern observed with respect to prevalence of mild and moderate anaemia is not only due to reduction in prevalence of anaemia among women from poor households but an increase in prevalence in rich households.

conclusionMalnutrition remains a major challenge in India, despite encouraging progress in maternal and nutrition outcomes over the last decade. Our study findings indicate the importance of looking at the change in inequalities of nutrition status of women and children of different wealth quintiles sub nationally. Given the country's rapidly changing malnutrition profile, with progress across several indicators of under nutrition but rapidly rising rates of overweight/obesity, particularly among adults, appropriate strategies needs to be devised to tackle the double burden of malnutrition.

Indexed as

AnaemiaMalnutritionNFHSStuntingUnderweightWasting

Identifiers

PMID35996127
PMCPMC9394049
OpenAlexW4292575162

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.