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Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study

BACKGROUND: Household food insecurity is a major public health problem in Ethiopia despite the presence of various interventions implemented by the government. However, there is a dearth of evidence regarding the prevalence and responsible factors in Ethiopia, specifically in the South Ari district....

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Autores principales: Toma, Temesgen Mohammed, Andargie, Kassahun Tamene, Alula, Rahel Abera, Kebede, Bahiru Mulatu, Gujo, Mintesinot Melka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096288/
https://www.ncbi.nlm.nih.gov/pubmed/37043521
http://dx.doi.org/10.1371/journal.pone.0284252
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author Toma, Temesgen Mohammed
Andargie, Kassahun Tamene
Alula, Rahel Abera
Kebede, Bahiru Mulatu
Gujo, Mintesinot Melka
author_facet Toma, Temesgen Mohammed
Andargie, Kassahun Tamene
Alula, Rahel Abera
Kebede, Bahiru Mulatu
Gujo, Mintesinot Melka
author_sort Toma, Temesgen Mohammed
collection PubMed
description BACKGROUND: Household food insecurity is a major public health problem in Ethiopia despite the presence of various interventions implemented by the government. However, there is a dearth of evidence regarding the prevalence and responsible factors in Ethiopia, specifically in the South Ari district. This study, therefore, aimed to assess household food insecurity and associated factors in South Ari district, Southern Ethiopia. METHODS: A community-based cross-sectional study was employed from March 11 to April 11, 2021, at South Ari district, Southern Ethiopia. A two-stage sampling technique was used to draw a sample of 717 households. Data were checked and entered into Epi-Data V3.2., and exported to SPSS V25.0 for data exploration and analysis. Variables with a p-value <0.25 in bivariable logistic regression were candidates for multivariable logistic regression. Multivariable logistic regression analysis was fitted to determine factors associated with household food insecurity. Hosmer–Lemeshow goodness-of-fit statistic was used to check model fitness and was satisfied. Adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to determine the strength of association. P-value <0.05 was used to declare statistical significance. RESULT: The prevalence of household food insecurity was 44.8% (95% CI: 41.1%, 48.5%). Larger family size (8 and above) (AOR = 1.91, 95% CI: 1.10, 3.30), high dependency ratio (AOR = 2.71, 95% CI: 1.67, 4.40), medium dependency ratio (AOR = 1.72, 95% CI: 1.13, 2.62), poor wealth index (AOR = 2.30, 95% CI: 1.53, 3.46), not using agricultural extension service (AOR = 2.25, 95% CI: 1.57, 3.23), and non-beneficiary of productive safety net program (AOR = 1.71, 95% CI: 1.01, 2.87) were factors significantly associated with household food insecurity. CONCLUSIONS: The findings of this study showed a significant proportion of households were food insecure in South Ari District. Larger family size, high and medium dependency ratio, poor wealth index, not using agricultural extension service, and non-beneficiary of productive safety net program were significant risk factors associated with household food insecurity. Therefore, rigorous work is highly needed to enhance income-generating activities, strengthen agricultural productivity, expand the productive safety net program, and limit population pressure through improved family planning use.
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spelling pubmed-100962882023-04-13 Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study Toma, Temesgen Mohammed Andargie, Kassahun Tamene Alula, Rahel Abera Kebede, Bahiru Mulatu Gujo, Mintesinot Melka PLoS One Research Article BACKGROUND: Household food insecurity is a major public health problem in Ethiopia despite the presence of various interventions implemented by the government. However, there is a dearth of evidence regarding the prevalence and responsible factors in Ethiopia, specifically in the South Ari district. This study, therefore, aimed to assess household food insecurity and associated factors in South Ari district, Southern Ethiopia. METHODS: A community-based cross-sectional study was employed from March 11 to April 11, 2021, at South Ari district, Southern Ethiopia. A two-stage sampling technique was used to draw a sample of 717 households. Data were checked and entered into Epi-Data V3.2., and exported to SPSS V25.0 for data exploration and analysis. Variables with a p-value <0.25 in bivariable logistic regression were candidates for multivariable logistic regression. Multivariable logistic regression analysis was fitted to determine factors associated with household food insecurity. Hosmer–Lemeshow goodness-of-fit statistic was used to check model fitness and was satisfied. Adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to determine the strength of association. P-value <0.05 was used to declare statistical significance. RESULT: The prevalence of household food insecurity was 44.8% (95% CI: 41.1%, 48.5%). Larger family size (8 and above) (AOR = 1.91, 95% CI: 1.10, 3.30), high dependency ratio (AOR = 2.71, 95% CI: 1.67, 4.40), medium dependency ratio (AOR = 1.72, 95% CI: 1.13, 2.62), poor wealth index (AOR = 2.30, 95% CI: 1.53, 3.46), not using agricultural extension service (AOR = 2.25, 95% CI: 1.57, 3.23), and non-beneficiary of productive safety net program (AOR = 1.71, 95% CI: 1.01, 2.87) were factors significantly associated with household food insecurity. CONCLUSIONS: The findings of this study showed a significant proportion of households were food insecure in South Ari District. Larger family size, high and medium dependency ratio, poor wealth index, not using agricultural extension service, and non-beneficiary of productive safety net program were significant risk factors associated with household food insecurity. Therefore, rigorous work is highly needed to enhance income-generating activities, strengthen agricultural productivity, expand the productive safety net program, and limit population pressure through improved family planning use. Public Library of Science 2023-04-12 /pmc/articles/PMC10096288/ /pubmed/37043521 http://dx.doi.org/10.1371/journal.pone.0284252 Text en © 2023 Toma et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Toma, Temesgen Mohammed
Andargie, Kassahun Tamene
Alula, Rahel Abera
Kebede, Bahiru Mulatu
Gujo, Mintesinot Melka
Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study
title Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study
title_full Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study
title_fullStr Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study
title_full_unstemmed Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study
title_short Household food insecurity and associated factors in South Ari district, Southern Ethiopia: A community-based cross-sectional study
title_sort household food insecurity and associated factors in south ari district, southern ethiopia: a community-based cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096288/
https://www.ncbi.nlm.nih.gov/pubmed/37043521
http://dx.doi.org/10.1371/journal.pone.0284252
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