Evidence map›Paper›PMID 38618541›Full record

ArticleBMJ nutrition, prevention & health2023

Trends in the prevalence and social determinants of stunting in India, 2005-2021: findings from three rounds of the National Family Health Survey.

Nirmala Rao, Manya Bala, Namita Ranganathan, Utkarsh Anand, Sunaina Dhingra, Janaina Calu Costa, Ann M Weber

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Updated Kuppuswamy Socioeconomic Status Scale for the Year 2026.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
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

7 authors.

Nirmala RaoFaculty of Education, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-5695-3156
Manya BalaFaculty of Education, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-2444-5667
Namita RanganathanDepartment of Education, University of Delhi, New Delhi, Delhi, India.
Utkarsh AnandSchool of Economic Sciences, Washington State University, Pullman, Washington, USA.
Sunaina DhingraOP Jindal Global University, Sonipat, Haryana, India.
Janaina Calu CostaInternational Center for Equity in Health, Federal University of Pelotas, Pelotas, RS, Brazil.
Ann M WeberUniversity of Nevada Reno, Reno, Nevada, USA.ORCID 0000-0001-8130-5858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess social determinants of stunting and the shifts in contributions of socio-demographic factors to national prevalence trends in India between 2005 and 2021. Methods: We leveraged data from three rounds of the National Family Health Survey (NFHS-3: 2005-2006, NFHS-4: 2015-2016, NFHS-5: 2019-2021) for 443 038 children under 5 years. Adjusted logistic regression models and a Kitigawa-Oaxaca-Blinder decomposition were deployed to examine how wealth, residence, belonging to a marginalised social group, maternal education and child sex contributed to changes in stunting prevalence. Results: The decrease in stunting prevalence was notably slower between NFHS-4 and NFHS-5 (annual average rate of reduction (AARR): 1.33%) than between NFHS-3 and NFHS-4 (AARR: 2.20%). The protective effect of high wealth diminished from 2015 onwards but persisted for high maternal education. However, an intersection of higher household wealth and maternal education mitigated stunting to a greater extent than either factor in isolation. Residence only predicted stunting in 2005-2006 with an urban disadvantage (adjusted OR: 1.18; 95% CI: 1.07 to 1.29). Children from marginalised social groups displayed increased likelihoods of stunting, from 6-16% in 2005-2006 to 11-21% in 2015-2016 and 2020-2021. Being male was associated with 6% and 7% increased odds of stunting in 2015-2016 and 2019-2021, respectively. Increased household wealth (45%) and maternal education (14%) contributed to decreased stunting prevalence between 2005 and 2021. Conclusions: Stunting prevalence in India has decreased across social groups. However, social disparities in stunting persist and are exacerbated by intersections of low household wealth, maternal education and being from a marginalised social group. Increased survival must be accompanied by needs-based interventions to support children and mitigate mutually reinforcing sources of inequality.

Indexed as

Malnutrition

Identifiers

PMID38618541
PMCPMC11009545

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.