Evidence map›Paper›PMID 37781767›Full record

ArticlePublic health nutrition2023

Intake of ultra-processed food, dietary diversity and the risk of nutritional inadequacy among adults in India.

Srishti Mediratta, Santu Ghosh, Pulkit Mathur

Abstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

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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.

Srishti MedirattaDepartment of Food and Nutrition and Food Technology, Lady Irwin College, University of Delhi, New Delhi, India.
Santu GhoshDepartment of Biostatistics, St John's Medical College, Bangalore, India.
Pulkit MathurDepartment of Food and Nutrition and Food Technology, Lady Irwin College, University of Delhi, Sikandra Road, Mandi House, New Delhi, 110001, India.ORCID 0000-0002-5064-9276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study assessed diet diversity and consumption of ultra-processed foods and explored its impact on macronutrient intake and risk of micronutrient inadequacy.

designCross-sectional, non-probability snowball sampling.

settingNutrient intake was assessed using 24-h dietary recall method and diet diversity through FAO-diet diversity score (DDS). Mann-Whitney

participantsA total of 589 adults (20-40 years) belonging to upper-middle and high-income groups.

resultsThe average individual DDS was 4·4 ± 0·6. Most of the participants (>80 %) had intakes less than national recommendations of pulses/eggs/flesh foods, milk/milk products, fruits, vegetables and nuts. Ultra-processed foods contributed to 17 % of total energy intake, 12 % of protein, 17 % of carbohydrate, 29 % of added sugar, 20 % of total fat and 33 % of Na intake. The average risk of nutrient inadequacies for Zn (98 %

conclusionReformulating ultra-processed food to reduce fat, sugar and salt and increase micronutrients and behaviour change communication strategies that promote dietary diversity will improve micronutrient adequacy and diet quality.

Indexed as

NiacinTrace ElementsAdultCross-Sectional StudiesDietEnergy IntakeFemaleFolic AcidFood, ProcessedHumansMaleMicronutrientsSugarsFolic AcidMicronutrientsNiacinSugarsTrace ElementsAdequacyDiet qualityMicronutrientRisk assessment

Identifiers

PMID37781767
PMCPMC10755415

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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.