Evidence map›Paper›PMID 33272222›Full record

ArticleBMC public health2020

Inequality in child undernutrition among urban population in India: a decomposition analysis.

S K Singh, Shobhit Srivastava, Shekhar Chauhan

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

S K SinghDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.ORCID https://orcid.org/0000-0003-0824-9073
Shobhit SrivastavaDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India. shobhitsrivastava889@gmail.com.ORCID https://orcid.org/0000-0002-7138-4916
Shekhar ChauhanDepartment of Population Policies and Programmes, International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.ORCID https://orcid.org/0000-0002-6926-7649
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith increasing urbanization in India, child growth among urban poor has emerged as a paramount public health concern amidst the continuously growing slum population and deteriorating quality of life. This study analyses child undernutrition among urban poor and non-poor and decomposes the contribution of various factors influencing socio-economic inequality. This paper uses data from two recent rounds of National Family Health Survey (NFHS-3&4) conducted during 2005-06 and 2015-16.

methodsThe concentration index (CI) and the concentration curve (CC) measure socio-economic inequality in child growth in terms of stunting, wasting, and underweight. Wagstaff decomposition further analyses key contributors in CI by segregating significant covariates into five groups-mother's factor, health-seeking factors, environmental factors, child factors, and socio-economic factors.

resultsThe prevalence of child undernutrition was more pronounced among children from poor socio-economic strata. The concentration index decreased for stunting (- 0.186 to - 0.156), underweight (- 0.213 to - 0.162) and wasting (- 0.116 to - 0.045) from 2005 to 06 to 2015-16 respectively. The steepness in growth was more among urban poor than among urban non-poor in every age interval. Maternal education contributed about 19%, 29%, and 33% to the inequality in stunting, underweight and wasting, respectively during 2005-06. During 2005-06 as well as 2015-16, maternal factors (specifically mother's education) were the highest contributory factors in explaining rich-poor inequality in stunting as well as underweight. More than 85% of the economic inequality in stunting, underweight, and wasting among urban children were explained by maternal factors, environmental factors, and health-seeking factors.

conclusionAll the nutrition-specific and nutrition-sensitive interventions in urban areas should be prioritized, focusing on urban poor, who are often clustered in low-income slums. Rich-poor inequality in child growth calls out for integration and convergence of nutrition interventions with policy interventions aimed at poverty reduction. There is also a need to expand the scope of the Integrated Child Development Services (ICDS) program to provide mass education regarding nutrition and health by making provisions of home visits of workers primarily focusing on pregnant and lactating mothers.

Indexed as

ChildChild DevelopmentChild Nutrition DisordersChild, PreschoolEducational StatusFemaleGrowth DisordersHumansIndiaInfantLactationMaleMalnutritionMothersNutritional StatusPovertyEconomic inequalityIndiaStuntingUnderweightWasting

Identifiers

PMID33272222
PMCPMC7713021
OpenAlexW3108707546

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.