Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.

<h4>Background</h4>Measuring household food insecurity in specific geographic areas provides vital information that enables appropriate and effective intervention measures to be taken. To that end, this study aimed to assess the prevalence of food insecurity and associated factors among...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Atimen Derso, Hailemichael Bizuneh, Awoke Keleb, Ayechew Ademas, Metadel Adane
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/94ab40bc1722432abf0b9cf750dbd1a0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:94ab40bc1722432abf0b9cf750dbd1a0
record_format dspace
spelling oai:doaj.org-article:94ab40bc1722432abf0b9cf750dbd1a02021-12-02T20:14:09ZFood insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.1932-620310.1371/journal.pone.0256634https://doaj.org/article/94ab40bc1722432abf0b9cf750dbd1a02021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256634https://doaj.org/toc/1932-6203<h4>Background</h4>Measuring household food insecurity in specific geographic areas provides vital information that enables appropriate and effective intervention measures to be taken. To that end, this study aimed to assess the prevalence of food insecurity and associated factors among Urban Productive Safety Net Program (UPSNP) beneficiary households in Addis Ababa, Ethiopia's capital city.<h4>Methods</h4>A community-based cross-sectional study was conducted among 624 UPSNP beneficiary households in nine districts of Addis Ababa from June to July 2019. A multi-stage sampling method was used; study participants were selected using a simple random sampling technique after establishing the proportionally allocated sample size for 9 districts. Data were collected by trained personnel using a pretested, structured questionnaire. The outcome variable was food insecurity as measured by Household Food Insecurity Access Scale (HFIAS), a tool developed by the Food and Nutrition Technical Assistance Scale (FANTA) and validated for developing countries, including Ethiopia. A binary (crude odds ratio [COR]) and multivariable (adjusted odds ratio [AOR]) logistic regression analysis were employed at 95% CI (confidence interval). From the bivariate analysis, factors having a p-value<0.25 were included in the multivariable analysis. From the multivariable analysis, any variable at p-value < 0.05 at 95% CI was declared significantly associated with household food insecurity. Model fitness was also checked using the Hosmer-Lemeshow test with p-value>0.05.<h4>Results</h4>The prevalence of household food insecurity was 77.1% [95%CI:73.8-80.7] during the month prior to the survey. Illiteracy of household head [AOR: 2.56; 95%CI:1.08-6.07], family size of 4 or more [AOR: 1.87, 95%CI:1.08-3.23], high dependency ratio [AOR: 3.95; 95%CI:1.31-11.90], household lack of access to credit [AOR:2.85; 95%CI:1.25-6.49], low household income [AOR: 4.72; 95%CI:2.32-9.60] and medium household income [AOR: 9.78; 95%CI:4.29-22.35] were significantly associated with household food insecurity.<h4>Conclusion</h4>We found that three in four of Addis Ababa's UPSNP beneficiary households were food-insecure. Implementation of measures to improve household income, minimize the dependency ratio of households, and arrange access to credit services are paramount ways to tackle food insecurity problems in Addis Ababa.Atimen DersoHailemichael BizunehAwoke KelebAyechew AdemasMetadel AdanePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256634 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Atimen Derso
Hailemichael Bizuneh
Awoke Keleb
Ayechew Ademas
Metadel Adane
Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.
description <h4>Background</h4>Measuring household food insecurity in specific geographic areas provides vital information that enables appropriate and effective intervention measures to be taken. To that end, this study aimed to assess the prevalence of food insecurity and associated factors among Urban Productive Safety Net Program (UPSNP) beneficiary households in Addis Ababa, Ethiopia's capital city.<h4>Methods</h4>A community-based cross-sectional study was conducted among 624 UPSNP beneficiary households in nine districts of Addis Ababa from June to July 2019. A multi-stage sampling method was used; study participants were selected using a simple random sampling technique after establishing the proportionally allocated sample size for 9 districts. Data were collected by trained personnel using a pretested, structured questionnaire. The outcome variable was food insecurity as measured by Household Food Insecurity Access Scale (HFIAS), a tool developed by the Food and Nutrition Technical Assistance Scale (FANTA) and validated for developing countries, including Ethiopia. A binary (crude odds ratio [COR]) and multivariable (adjusted odds ratio [AOR]) logistic regression analysis were employed at 95% CI (confidence interval). From the bivariate analysis, factors having a p-value<0.25 were included in the multivariable analysis. From the multivariable analysis, any variable at p-value < 0.05 at 95% CI was declared significantly associated with household food insecurity. Model fitness was also checked using the Hosmer-Lemeshow test with p-value>0.05.<h4>Results</h4>The prevalence of household food insecurity was 77.1% [95%CI:73.8-80.7] during the month prior to the survey. Illiteracy of household head [AOR: 2.56; 95%CI:1.08-6.07], family size of 4 or more [AOR: 1.87, 95%CI:1.08-3.23], high dependency ratio [AOR: 3.95; 95%CI:1.31-11.90], household lack of access to credit [AOR:2.85; 95%CI:1.25-6.49], low household income [AOR: 4.72; 95%CI:2.32-9.60] and medium household income [AOR: 9.78; 95%CI:4.29-22.35] were significantly associated with household food insecurity.<h4>Conclusion</h4>We found that three in four of Addis Ababa's UPSNP beneficiary households were food-insecure. Implementation of measures to improve household income, minimize the dependency ratio of households, and arrange access to credit services are paramount ways to tackle food insecurity problems in Addis Ababa.
format article
author Atimen Derso
Hailemichael Bizuneh
Awoke Keleb
Ayechew Ademas
Metadel Adane
author_facet Atimen Derso
Hailemichael Bizuneh
Awoke Keleb
Ayechew Ademas
Metadel Adane
author_sort Atimen Derso
title Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.
title_short Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.
title_full Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.
title_fullStr Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.
title_full_unstemmed Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia.
title_sort food insecurity status and determinants among urban productive safety net program beneficiary households in addis ababa, ethiopia.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/94ab40bc1722432abf0b9cf750dbd1a0
work_keys_str_mv AT atimenderso foodinsecuritystatusanddeterminantsamongurbanproductivesafetynetprogrambeneficiaryhouseholdsinaddisababaethiopia
AT hailemichaelbizuneh foodinsecuritystatusanddeterminantsamongurbanproductivesafetynetprogrambeneficiaryhouseholdsinaddisababaethiopia
AT awokekeleb foodinsecuritystatusanddeterminantsamongurbanproductivesafetynetprogrambeneficiaryhouseholdsinaddisababaethiopia
AT ayechewademas foodinsecuritystatusanddeterminantsamongurbanproductivesafetynetprogrambeneficiaryhouseholdsinaddisababaethiopia
AT metadeladane foodinsecuritystatusanddeterminantsamongurbanproductivesafetynetprogrambeneficiaryhouseholdsinaddisababaethiopia
_version_ 1718374720183730176