Evidence map›Paper›PMID 33746340›Full record

ArticleFood policy2021

Affordability of nutritious diets in rural India.

Kalyani Raghunathan, Derek Headey, Anna Herforth

Abstract read
In one paragraph

Article in Food policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  9. Nutrient-dense foods and diverse diets are important for ensuring adequate nutrition across the life course.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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.

Kalyani RaghunathanPoverty, Health and Nutrition Division, International Food Policy Research Institute, New Delhi, India.
Derek HeadeyPoverty, Health and Nutrition Division, International Food Policy Research Institute, Yangon, Myanmar.
Anna HerforthIndependent Consultant, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2015-16 some 38% of preschool children in India were stunted, 21% wasted, and more than half of Indian mothers and young children were anemic. Though widely studied, surprisingly little research on malnutrition in India explores the role of diets, particularly the affordability of nutritious diets given low wages and the significant structural problems facing India's agricultural sector. To explore this we used nationally representative rural price and wage data to estimate the least cost means of satisfying India's national dietary guidelines, referred to as the Cost of a Recommended Diet (CoRD), and assessed the affordability of this diet relative to male and female wages for unskilled laborers. Although we find that dietary costs have increased substantially for both men and women, rural wage rates increased more rapidly, implying that nutritious diets became substantially more affordable over time. However, in absolute terms nutritious diets in 2011 were still expensive relative to unskilled wages, constituting approximately 80-90% of female and 50-60% of male daily wages. Overall, we estimate that 63-76% of the rural poor could not afford a recommended diet in 2011. Achieving nutritional security in India requires a much more holistic focus on improving the affordability of the full range of nutritious food groups (not just cereals), a reappraisal of social protection schemes in light of the cost of more complete nutrition, ensuring that economic growth results in sustained income growth for the poor, and more timely and transparent monitoring of food prices, incomes and dietary costs.

Indexed as

AffordabilityCost of dietIndiaNutritionRural

Identifiers

PMID33746340
PMCPMC7957322

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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.