ArticleMaternal & child nutrition2021
Milk consumption and childhood anthropometric failure in India: Analysis of a national survey.
Article in Maternal & child nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- Socio-ecological determinants of multiple anthropometric failures among under-five children: A systematic review and meta-analysis of observational studies.PLOS global public health · 2025Article
- Addressing the 2050 demand for terrestrial animal source food.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Milk consumption and childhood anthropometric failure in India: Analysis of a national survey.Maternal & child nutrition · 2021Article
- Evolution of Lactase Persistence: Turbo-Charging Adaptation in Growth Under the Selective Pressure of Maternal Mortality?Frontiers in physiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dairy milk has been shown to contribute to child growth in many countries, but the relationship between milk intake and anthropometric outcomes among Indian children has not been studied. The objectives were to describe children aged 6-59 months who consume dairy milk in India and determine if dairy milk consumption was associated with lower odds of stunting, underweight and anthropometric failure among Indian children. This was a cross-sectional study based on the fourth Indian National Family Health Survey (NFHS-4), which was a national survey conducted between 2015 and 2016 by the Ministry of Health and Family Welfare. The primary exposure was the consumption of dairy milk within the past day or night. The primary outcomes were stunting (height-for-age z score < -2), underweight (weight-for-age z score < -2) and the composite index of anthropometric failure (CIAF), which is a combination of weight-for-age, weight-for-height and height-for-age. Multivariable logistic regression models and coarsened exact matching (CEM) were used to determine the relationship between dairy milk and odds ratios of each outcome. Setting was in India. Participants were children (N = 107,639) aged 6-59 months. Children who consumed dairy milk in the past day or night had an odds ratio of 0.95 for underweight (95% CI 0.92-0.98, P = .0005), 0.93 for stunting (95% CI 0.90-0.96, P < .0001) and 0.96 for CIAF (95% CI 0.93-0.99, P = .004), compared with children who did not consume dairy milk after adjusting for relevant covariates. When CEM was used among a subset (n = 28,207), evidence for relationships between dairy milk and anthropometric outcomes was consistent but slightly weaker. Widespread, equitable access to dairy milk among childhood may be part of an effort to lower the risk of anthropometric failure among children in India.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.