Evidence map›Paper›PMID 30989801›Full record

ArticleMaternal & child nutrition2019

Association between anthropometric-based and food-based nutritional failure among children in India, 2015.

William Joe, Sunil Rajpal, Rockli Kim, Avula Laxmaiah, Rachakulla Harikumar, Nimmathota Arlappa, Indrapal Meshram, Nagalla Balakrishna, Madhari Radhika, Soumya Swaminathan and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Maternal & child nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 25 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

11 authors at 5 institutions in 3 countries.

William JoePopulation Research Centre, Institute of Economic Growth, New Delhi, India.
Sunil RajpalICSSR Doctoral Fellow, Institute of Economic Growth, New Delhi, India.ORCID 0000-0001-8607-1878
Rockli KimDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Avula LaxmaiahDivision of Community studies, ICMR-National Institute of Nutrition, Hyderabad, India.
Rachakulla HarikumarDivision of Community studies, ICMR-National Institute of Nutrition, Hyderabad, India.
Nimmathota ArlappaDivision of Community studies, ICMR-National Institute of Nutrition, Hyderabad, India.
Indrapal MeshramDivision of Community studies, ICMR-National Institute of Nutrition, Hyderabad, India.ORCID 0000-0003-0562-3402
Nagalla BalakrishnaDivision of statistics, ICMR-National Institute of Nutrition, Hyderabad, India.
Madhari RadhikaICMR-National Institute of Nutrition, Hyderabad, India.
Soumya SwaminathanWorld Health Organization, Geneva, Switzerland.
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-2365-4165
National Institute of Nutrition · INHarvard University · USIndian Council of Social Science Research · INInstitute of Economic Growth · INWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

Inadequate dietary intake is a critical underlying determinant of child undernutrition. This study examined the association between anthropometric-based and food-based nutritional failure among children in India. We used the 2015-2016 National Nutrition Monitoring Bureau data where anthropometric outcomes and food intake were both measured for each child. We followed the World Health Organization child growth reference standards to define anthropometric failures (i.e., height-for-age z score < -2 SD for stunting, weight-for-age z score < -2 SD for underweight, and weight-for-height z score < -2 SD for wasting), and the Indian Council of Medical Research recommended dietary allowance (RDA) to define adequacy in intake of calorie, protein, and fat. We used descriptive and regression-based assessments to test the association between the two indicators of nutritional failure and also computed the area under the receiver operating characteristic curve (AUC). The prevalence of stunting, underweight, and wasting was 28.6%, 24.3%, and 12.8%, respectively, whereas 78.2%, 27.4%, and 50.8% of the children had below RDA norms consumption of calorie, protein, and fat, respectively. We found weak-to-null correlation between anthropometric failures and food failures (Pearson correlation ranging from -0.013 to 0.147) and poor discriminatory accuracy (AUC < 0.62), suggesting that in the Indian context, anthropometric failures are not directly associated with food intake. This finding highlights the need for improving adequate intake of macronutrients and draws attention toward adopting a multifactorial approach to improve child nutrition in India. Poor food intake itself merits exclusive policy focus as it is an important nutrition and health concern.

Indexed as

AnthropometryBody WeightChildChild Nutrition DisordersChild, PreschoolEnergy IntakeFood SupplyGrowth DisordersHumansIndiaInfantNutritional StatusPrevalenceThinnessanthropometric failuresdiscriminatory accuracyfood intakefood securityIndiaundernutrition

Identifiers

PMID30989801
PMCPMC6860073
OpenAlexW2937049045

What OpenQuestion holds

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Registered trials

None linked

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.