Evidence map›Paper›PMID 35206887›Full record

ArticleHealthcare (Basel, Switzerland)2022

Innovative Nutrition Education: A Color-Coded Tool for Individuals with Low Literacy Level.

Hiba Bawadi, Ghadir Fakhri Al-Jayyousi, Hala Shabana, Sana Boutefnouchet, Sereen Eljazzar, Shrooq Ismail

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Hiba BawadiDepartment of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-1499-5646
Ghadir Fakhri Al-JayyousiDepartment of Public Health, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0001-5995-1693
Hala ShabanaDepartment of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Sana BoutefnouchetDepartment of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Sereen EljazzarDepartment of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Shrooq IsmailDepartment of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.

Funding

Qatar University QUST-CHS-SPR-15/16-8
6 · The paper itself

Abstract

(1) Background: The food exchange system was developed to serve as an educational tool in helping individuals plan their own meals. This study aimed to develop a friendly-user food exchange list for individuals with a low literacy level; (2) Methods: A two-group, pre-test/post-test research study aimed to develop a friendly-user food exchange list for individuals with a low literacy level. Thirty female workers of low literacy were recruited. Participants were divided into two groups. Group one was taught how to use the standard exchange system, while group two was taught how to use the modified exchange system. Each participant was assigned a task of prepare a meal with a specified caloric content and macronutrient distribution. The task was assigned before and after the exchange list education session. Groups' differences were tested using the chi-square test, and the analysis of variance (ANOVA); (3) Results: A higher percentage of participants in group two were able to plan daily diets that achieved the recommendations of fruits (

Indexed as

exchange list systemlow literacymeal planningQatarworkers

Identifiers

PMID35206887
PMCPMC8871548

What OpenQuestion holds

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LicenceCC BY
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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.