Evidence map›Paper›PMID 39113690›Full record

ArticleCurrent developments in nutrition2024

An Optimization Tool to Formulate Diets within a Supplementary Nutrition Program for Children.

Fathima Ayoob, Jawahar R Manivannan, Ashikh Ahamed, Afsal K Murikkanchery, Ankita Mondal, Gowri Bhatnagar, Melari S Nongrum, Sandra Albert, Pulkit Mathur, Lalita Verma and 10 more

Abstract read
In one paragraph

Article in Current developments in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Fathima AyoobDivision of Epidemiology & Biostatistics, St John's Research Institute, Bengaluru, Karnataka, India.
Jawahar R ManivannanDivision of Epidemiology & Biostatistics, St John's Research Institute, Bengaluru, Karnataka, India.
Ashikh AhamedDivision of Epidemiology & Biostatistics, St John's Research Institute, Bengaluru, Karnataka, India.
Afsal K MurikkancheryDivision of Epidemiology & Biostatistics, St John's Research Institute, Bengaluru, Karnataka, India.
Ankita MondalDivision of Epidemiology & Biostatistics, St John's Research Institute, Bengaluru, Karnataka, India.
Gowri BhatnagarDivision of Epidemiology & Biostatistics, St John's Research Institute, Bengaluru, Karnataka, India.
Melari S NongrumIndian Institute of Public Health Shillong, Shillong, Meghalaya, India.
Sandra AlbertIndian Institute of Public Health Shillong, Shillong, Meghalaya, India.
Pulkit MathurDepartment of Food and Nutrition and Food Technology, Lady Irwin College, University of Delhi, New Delhi, Delhi, India.
Lalita VermaDepartment of Food and Nutrition and Food Technology, Lady Irwin College, University of Delhi, New Delhi, Delhi, India.
Radhika MadhariDepartment of Dietetics Division, National Institute of Nutrition, Osmania University, Hyderabad, Telangana, India.
Srirangam A BrindaDepartment of Dietetics Division, National Institute of Nutrition, Osmania University, Hyderabad, Telangana, India.
Suparna Ghosh-JerathDepartment of Nutrition, The George Institute for Global Health India, New Delhi, Delhi, India.
Vanisha NambiarDepartment of Foods and Nutrition, Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India.
Hemangini GandhiDepartment of Foods and Nutrition, Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India.
Syed Z QuaziDatta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, India.
Rachita GuptaWorld Health Organization Country Office for India, New Delhi, Delhi, India.
Harshpal S SachdevPediatrics and Clinical Epidemiology, Sitaram Bhartia Institute of Science and Research, New Delhi, Delhi, India.
Anura V KurpadDepartment of Physiology, St. John's Medical College, Bengaluru, Karnataka, India.
Tinku ThomasDepartment of Biostatistics, St John's Medical College, Bengaluru, Karnataka, India.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: In large supplementary feeding programs for children, it is challenging to create and sustain contextual, acceptable, nutritionally complete, and diverse supplemental foods. For example, the Indian Supplementary Nutrition Program (SNP) supplements the dietary intake of children, pregnant and lactating women, and severely acutely malnourished (SAM) children by offering dry take home rations (THRs) or hot cooked meals (HCMs) across India, but an optimization tool is necessary to create local contextual recipes for acceptable and nutritionally adequate products. Objectives: This study aimed to create a linear programming (LP) model to optimize diverse food provisions for a SNP to meet its program guidelines, using locally available foods, within budgetary allocations. Methods: A LP algorithm with appropriate constraints was used to generate an optimal THR based on raw foods, or an optimal weekly HCM menu comprised of a lunch meal with mid-morning snacks, based on user choices of foods and recipes. The database of foods used was created by a prospective survey conducted across all states of India for this purpose, such that the recipe and food optimization was diverse and specific to the guidelines for each beneficiary group. Results: An interactive web-based app, which can optimize feeding programs at any population level, was developed for use by program implementers and is hosted at https://www.datatools.sjri.res.in/SNP/. In the Indian example analyzed here, the recommended optimized diets met the guidelines for diversified and nutritionally complete SNP provision but at a cost that was almost 25% higher than the present Indian budget allocation. Conclusions: The optimization model developed demonstrates that contextual SNP diets can be created to meet macronutrient and most essential micronutrient needs of large-scale feeding programs, but appropriate diversification entails additional costs.

Indexed as

ICDSlinear programmingoptimization toolSchildren less than 6 yearssupplementary nutrition program

Identifiers

PMID39113690
PMCPMC11305195

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.