Evidence map›Paper›PMID 39221176›Full record

ArticleJournal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems2024

Nutrient dataset development via FAO/INFOODS approach for infant nutritional survey in rural Matiari, Pakistan.

Sanam Iram Soomro, Zehra Jamil, Najma Memon, Sheraz Ahmed, Fayaz Umrani, Imran Ahmed Choudhri, Sajid Mohammed, Khalique Qureshi, Ghulam Raza, Sadaf Jakhro and 1 more

Abstract read
In one paragraph

Article in Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems, 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

11 authors.

Sanam Iram SoomroDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Zehra JamilBiological & Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Najma MemonNational Centre of Excellence in Analytical Chemistry, University of Sindh, Jamshoro, Pakistan.
Sheraz AhmedDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Fayaz UmraniDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Imran Ahmed ChoudhriDivision of Woman and Child Health, Aga Khan University, Karachi, Pakistan.
Sajid MohammedDepartment of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Khalique QureshiDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Ghulam RazaDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Sadaf JakhroDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Asad AliDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To accurately evaluate dietary intake, multiple resources are necessary, including serving-size modules, pictures, and questionnaires that are used to gather information during surveys. One critical component is the accessibility of food composition data at the national or regional level, which is required to determine dietary intake. Food Agriculture Organization/International Network of Food Data Systems (FAO/INFOODs) tools are useful for developing high-quality food composition data. We used these tools to create a nutrient dataset for a nutritional survey in Matiari, Sindh, and to collect dietary information through a 24-hour food recall questionnaire. The survey results indicated 540 distinct types of foods, including 291 ready-to-eat items, 84 foods used as ingredients in recipes, and 164 various composite and mixed recipes. Most food items corresponded to the national and regional Food Composition Tables (FCTs) and the Food and Nutrient Database for Dietary Studies (FNDDS) of the USDA, with the exception of recipe food data. We utilized Eurofir-recipe calculation methods to compute the recipe data. The data were homogenized and standardized utilizing EFSA and Langual™. Because of the obsolescence and inadequacy of Pakistan's food composition table in assessing essential nutrients, we had to source data from various other sources. Consequently, to establish the nutrient dataset, we incorporated approximately 25 % of user data from national sources, with recipe data comprising 46 % and less than 20 % extracted from regional, U.S database, and diverse online sources. This study is the first effort in which we gathered data from reliable sources representing local eating patterns, with some exceptions. Future studies will hugely benefit from this database, especially as we face a high prevalence of undernutrition in our part of the world.

Indexed as

Food composition dataInfantsMalnutritionStunting

Identifiers

PMID39221176
PMCPMC11287758

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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.