Evidence map›Paper›PMID 39458492›Full record

ArticleNutrients2024

Development and Pilot Study of myfood24 West Africa-An Online Tool for Dietary Assessment in Nigeria.

Chinwe Adaugo Uzokwe, Chiaka Charles Nkwoala, Bassey E Ebenso, Sarah Beer, Grace Williams, Gideon Onyedikachi Iheme, Chihurumnanya Gertrude Opara, Rasaki A Sanusi, Henrietta Nkechi Ene-Obong, Janet E Cade

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Chinwe Adaugo UzokweNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-3782-1385
Chiaka Charles NkwoalaDepartment of Human Nutrition and Dietetics, Michael Okpara University of Agriculture, Umudike P.M.B. 7267, Nigeria.
Bassey E EbensoLeeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds LS2 9JT, UK.
Sarah BeerDietary Assessment Ltd., Nexus, Discovery Way, University of Leeds, Leeds LS2 3AA, UK.
Grace WilliamsDietary Assessment Ltd., Nexus, Discovery Way, University of Leeds, Leeds LS2 3AA, UK.
Gideon Onyedikachi IhemeDepartment of Human Nutrition and Dietetics, Michael Okpara University of Agriculture, Umudike P.M.B. 7267, Nigeria.ORCID 0000-0003-1554-5970
Chihurumnanya Gertrude OparaDepartment of Human Nutrition and Dietetics, Michael Okpara University of Agriculture, Umudike P.M.B. 7267, Nigeria.
Rasaki A SanusiDepartment of Human Nutrition and Dietetics, University of Ibadan, Ibadan 200001, Nigeria.
Henrietta Nkechi Ene-ObongDepartment of Human Nutrition and Dietetics, University of Calabar, Calabar 540281, Nigeria.
Janet E CadeNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0003-3421-0121

Funding

Commonwealth Scholarship Commission Not applicable
6 · The paper itself

Abstract

BACKGROUND AND

objectiveTools to accurately and efficiently measure dietary intake in Nigeria are lacking. We aimed to develop and assess the usability of a new online dietary assessment tool for Nigeria-myfood24 West Africa.

methodsWe developed the myfood24 West Africa database using data from existing food composition tables, packaged foods labels and research articles. The development followed seven steps: identified data sources, selected foods, processed/cleaned the data, calculated the nutrient content of recipes, created and allocated portion sizes, quality-checked the database and developed food accompaniments. To pilot the tool, we recruited 179 university staff in Nigeria using a cross-sectional design. Usability was assessed using a questionnaire that included the System Usability Scale (SUS) and a feedback session.

resultsThe database included 924 foods, with up to 54 nutrients and 35 portion-size images allocated to foods. Sixty percent of the data were sourced from the 2019 West Africa Food Composition Table, 17% from back-of-pack labels of packaged foods, 14% from the 2017 Nigerian Food Composition Table, 5% from generated recipes and 4% from the published literature. Of the participants, 30% (n = 53) self-recorded their food intake, with a total of 1345 food and drink entries from both self- and interviewer-collected data. The mean SUS score of 74 (95% CI: 68,79) indicated good usability. The feedback showed that the tool was user-friendly, educational and included a variety of local foods.

conclusionsThis new tool will enhance the dietary assessment of the Nigerian population. More work will expand coverage to include more foods from the region.

Indexed as

Nutrition AssessmentAdultCross-Sectional StudiesDatabases, FactualDietDiet SurveysFemaleFood LabelingHumansInternetMaleMiddle AgedNigeriaNutritive ValuePilot ProjectsPortion Sizediet monitoringdigital toolenergy intakefood composition tablesnutrition appnutrition assessmentusability study

Identifiers

PMID39458492
PMCPMC11509910

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.