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Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province
Access to and availability of various food sources is not an issue in rural communities. However, there is no guarantee that households are not affected by nutritional inadequacy, which is still a problem in most underdeveloped nations. A mixed-methods study was conducted to determine the HDDS throu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427622/ https://www.ncbi.nlm.nih.gov/pubmed/37582964 http://dx.doi.org/10.1038/s41598-023-39124-3 |
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author | Bird, Zina Iese, Viliamu Des Combes, Helene Jacot Alungo, Bradley Wairiu, Morgan |
author_facet | Bird, Zina Iese, Viliamu Des Combes, Helene Jacot Alungo, Bradley Wairiu, Morgan |
author_sort | Bird, Zina |
collection | PubMed |
description | Access to and availability of various food sources is not an issue in rural communities. However, there is no guarantee that households are not affected by nutritional inadequacy, which is still a problem in most underdeveloped nations. A mixed-methods study was conducted to determine the HDDS through the snowballing method for the last 12 months’ food groups-and-sources and the 48-h diet recall. Ninety-eight households in two rural communities surrounding Sikwafta (zone one) and Malu’u (zone two) participated in the interview between April and May 2019. The results were then analyzed through SPSS and QDA MINER. The aim is to analyze the household dietary patterns of the communities between the two zones. The study also hypothesizes that the dietary pattern of households has not changed. Results showed that a total of nine food groups were consumed: grain, white roots, tubers, plantains, oils/fats (95.90%), condiments (83.70%), and meat/poultry/sea foods (77.60%). The majority of the food consumed comes from the gardens, followed by other food sources, which make up the average HDDS of five. A correlation analysis found a statistically significant relationship between HDDS and total meal (0.504*), with no relationships between demographics. When comparing 48-h food sources-and-groups to the previous year, there was little to no difference in accessibility and availability. This implies that the majority of households are likely to achieve their nutritional needs within the parameters of their dietary trend. Even though households have adequate access to food, there is a significant need to improve their nutritional needs, even if they consume the average amount of the required food groups. |
format | Online Article Text |
id | pubmed-10427622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104276222023-08-17 Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province Bird, Zina Iese, Viliamu Des Combes, Helene Jacot Alungo, Bradley Wairiu, Morgan Sci Rep Article Access to and availability of various food sources is not an issue in rural communities. However, there is no guarantee that households are not affected by nutritional inadequacy, which is still a problem in most underdeveloped nations. A mixed-methods study was conducted to determine the HDDS through the snowballing method for the last 12 months’ food groups-and-sources and the 48-h diet recall. Ninety-eight households in two rural communities surrounding Sikwafta (zone one) and Malu’u (zone two) participated in the interview between April and May 2019. The results were then analyzed through SPSS and QDA MINER. The aim is to analyze the household dietary patterns of the communities between the two zones. The study also hypothesizes that the dietary pattern of households has not changed. Results showed that a total of nine food groups were consumed: grain, white roots, tubers, plantains, oils/fats (95.90%), condiments (83.70%), and meat/poultry/sea foods (77.60%). The majority of the food consumed comes from the gardens, followed by other food sources, which make up the average HDDS of five. A correlation analysis found a statistically significant relationship between HDDS and total meal (0.504*), with no relationships between demographics. When comparing 48-h food sources-and-groups to the previous year, there was little to no difference in accessibility and availability. This implies that the majority of households are likely to achieve their nutritional needs within the parameters of their dietary trend. Even though households have adequate access to food, there is a significant need to improve their nutritional needs, even if they consume the average amount of the required food groups. Nature Publishing Group UK 2023-08-15 /pmc/articles/PMC10427622/ /pubmed/37582964 http://dx.doi.org/10.1038/s41598-023-39124-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bird, Zina Iese, Viliamu Des Combes, Helene Jacot Alungo, Bradley Wairiu, Morgan Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province |
title | Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province |
title_full | Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province |
title_fullStr | Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province |
title_full_unstemmed | Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province |
title_short | Assessing rural household’s food groups-and-sources and dietary diversity pattern in Malaita Province |
title_sort | assessing rural household’s food groups-and-sources and dietary diversity pattern in malaita province |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427622/ https://www.ncbi.nlm.nih.gov/pubmed/37582964 http://dx.doi.org/10.1038/s41598-023-39124-3 |
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