Evidence map›Paper›PMID 37396962›Full record

ArticleCurrent developments in nutrition2023

Household-Level Coverage of Iron-Biofortified Beans in the Northern Province of Rwanda.

Theogene Dusingizimana, Andrew Jones, Hilda Vasanthakaalam, Tomas Kjellqvist

Abstract read
In one paragraph

Article in Current developments in nutrition, 2023. 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

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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

4 authors.

Theogene DusingizimanaDepartment of Food Science and Technology, College of Agriculture, Animal Sciences and Veterinary Medicine (CAVM), University of Rwanda, Kigali, Rwanda.
Andrew JonesDepartment of Nutritional Sciences, School of Public Health, University of Michigan, MI, United States.
Hilda VasanthakaalamDepartment of Food Science and Technology, College of Agriculture, Animal Sciences and Veterinary Medicine (CAVM), University of Rwanda, Kigali, Rwanda.
Tomas KjellqvistSchool of Natural Sciences, Technology and Environmental Studies, Södertörn University, Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biofortification, the process of enhancing the micronutrient content of staple crops, is a nutrition-sensitive agricultural intervention with the potential to increase micronutrient intakes and improve health outcomes, especially among vulnerable populations. Although data are available on the number of farming households that grow biofortified crops, information on the coverage of biofortified foods in the general population is limited. Such information is critical to assess the performance of biofortification programs and guide decisions related to program implementation while ascertaining progress toward achieving expected impacts. Objective: This study aimed to assess the household coverage of iron-biofortified beans (IBBs) in rural areas of the Northern Province of Rwanda. Methods: We applied methods previously used to assess coverage in large-scale food fortification programs to develop coverage indicators for IBBs. These indicators were Results: Of the 535 households surveyed, 98% consumed beans in any form and 79% were aware of IBBs. Among the 321 households that provided bean samples, only 40% of the samples were biofortified (as determined by a breeding specialist) and only 21% of respondents were able to correctly identify IBBs. Although 52% of households reported to be ever consuming biofortified beans, only 10% of households were currently consuming these beans. Conclusions: Despite relatively high awareness of IBBs among surveyed households, a few households currently consume IBBs, highlighting the need to explore strategies to promote consumption. More research is also required to investigate factors hindering the consumption of IBBs.

Indexed as

beansbiofortificationcoverageironRwanda

Identifiers

PMID37396962
PMCPMC10314227

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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.