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Developing an online food composition database for an Indigenous population in south-western Uganda
OBJECTIVE: To develop an online food composition database of locally consumed foods among an Indigenous population in south-western Uganda. DESIGN: Using a community-based approach and collaboration with local nutritionists, we collected a list of foods for inclusion in the database through focus gr...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145457/ https://www.ncbi.nlm.nih.gov/pubmed/33843552 http://dx.doi.org/10.1017/S1368980021001397 |
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author | Scarpa, Giulia Berrang-Ford, Lea Bawajeeh, Areej O Twesigomwe, Sabastian Kakwangire, Paul Peters, Remco Beer, Sarah Williams, Grace Zavaleta-Cortijo, Carol Namanya, Didacus B Lwasa, Shuaib Nowembabazi, Ester Kesande, Charity Rippin, Holly Cade, Janet E |
author_facet | Scarpa, Giulia Berrang-Ford, Lea Bawajeeh, Areej O Twesigomwe, Sabastian Kakwangire, Paul Peters, Remco Beer, Sarah Williams, Grace Zavaleta-Cortijo, Carol Namanya, Didacus B Lwasa, Shuaib Nowembabazi, Ester Kesande, Charity Rippin, Holly Cade, Janet E |
author_sort | Scarpa, Giulia |
collection | PubMed |
description | OBJECTIVE: To develop an online food composition database of locally consumed foods among an Indigenous population in south-western Uganda. DESIGN: Using a community-based approach and collaboration with local nutritionists, we collected a list of foods for inclusion in the database through focus group discussions, an individual dietary survey and markets and shops assessment. The food database was then created using seven steps: identification of foods for inclusion in the database; initial data cleaning and removal of duplicate items; linkage of foods to existing generic food composition tables; mapping and calculation of the nutrient content of recipes and foods; allocating portion sizes and accompanying foods; quality checks with local and international nutritionists; and translation into relevant local languages. SETTING: Kanungu District, south-western Uganda. PARTICIPANTS: Seventy-four participants, 36 Indigenous Batwa and 38 Bakiga, were randomly selected and interviewed to inform the development of a food list prior the construction of the food database. RESULTS: We developed an online food database for south-western Uganda including 148 commonly consumed foods complete with values for 120 micronutrients and macronutrients. This was for use with the online dietary assessment tool myfood24. Of the locally reported foods included, 56 % (n 82 items) of the items were already available in the myfood24 database, while 25 % (n 37 items) were found in existing Ugandan and Tanzanian food databases, 18 % (n 27 items) came from generated recipes and 1 % (n 2 items) from food packaging labels. CONCLUSION: Locally relevant food databases are sparse for African Indigenous communities. Here, we created a tool that can be used for assessing food intake and for tracking undernutrition among the communities living in Kanungu District. This will help to develop locally relevant food and nutrition policies. |
format | Online Article Text |
id | pubmed-8145457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81454572021-06-04 Developing an online food composition database for an Indigenous population in south-western Uganda Scarpa, Giulia Berrang-Ford, Lea Bawajeeh, Areej O Twesigomwe, Sabastian Kakwangire, Paul Peters, Remco Beer, Sarah Williams, Grace Zavaleta-Cortijo, Carol Namanya, Didacus B Lwasa, Shuaib Nowembabazi, Ester Kesande, Charity Rippin, Holly Cade, Janet E Public Health Nutr Research Paper OBJECTIVE: To develop an online food composition database of locally consumed foods among an Indigenous population in south-western Uganda. DESIGN: Using a community-based approach and collaboration with local nutritionists, we collected a list of foods for inclusion in the database through focus group discussions, an individual dietary survey and markets and shops assessment. The food database was then created using seven steps: identification of foods for inclusion in the database; initial data cleaning and removal of duplicate items; linkage of foods to existing generic food composition tables; mapping and calculation of the nutrient content of recipes and foods; allocating portion sizes and accompanying foods; quality checks with local and international nutritionists; and translation into relevant local languages. SETTING: Kanungu District, south-western Uganda. PARTICIPANTS: Seventy-four participants, 36 Indigenous Batwa and 38 Bakiga, were randomly selected and interviewed to inform the development of a food list prior the construction of the food database. RESULTS: We developed an online food database for south-western Uganda including 148 commonly consumed foods complete with values for 120 micronutrients and macronutrients. This was for use with the online dietary assessment tool myfood24. Of the locally reported foods included, 56 % (n 82 items) of the items were already available in the myfood24 database, while 25 % (n 37 items) were found in existing Ugandan and Tanzanian food databases, 18 % (n 27 items) came from generated recipes and 1 % (n 2 items) from food packaging labels. CONCLUSION: Locally relevant food databases are sparse for African Indigenous communities. Here, we created a tool that can be used for assessing food intake and for tracking undernutrition among the communities living in Kanungu District. This will help to develop locally relevant food and nutrition policies. Cambridge University Press 2021-06 2021-04-12 /pmc/articles/PMC8145457/ /pubmed/33843552 http://dx.doi.org/10.1017/S1368980021001397 Text en © The Authors 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Scarpa, Giulia Berrang-Ford, Lea Bawajeeh, Areej O Twesigomwe, Sabastian Kakwangire, Paul Peters, Remco Beer, Sarah Williams, Grace Zavaleta-Cortijo, Carol Namanya, Didacus B Lwasa, Shuaib Nowembabazi, Ester Kesande, Charity Rippin, Holly Cade, Janet E Developing an online food composition database for an Indigenous population in south-western Uganda |
title | Developing an online food composition database for an Indigenous population in south-western Uganda |
title_full | Developing an online food composition database for an Indigenous population in south-western Uganda |
title_fullStr | Developing an online food composition database for an Indigenous population in south-western Uganda |
title_full_unstemmed | Developing an online food composition database for an Indigenous population in south-western Uganda |
title_short | Developing an online food composition database for an Indigenous population in south-western Uganda |
title_sort | developing an online food composition database for an indigenous population in south-western uganda |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145457/ https://www.ncbi.nlm.nih.gov/pubmed/33843552 http://dx.doi.org/10.1017/S1368980021001397 |
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