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

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 Pro...

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Bibliographic Details
Published in:PloS one 2021-09, Vol.16 (9), p.e0256634
Main Authors: Derso, Atimen, Bizuneh, Hailemichael, Keleb, Awoke, Ademas, Ayechew, Adane, Metadel
Format: Article
Language:English
Subjects:
Biology and Life Sciences
Bivariate analysis
Confidence intervals
Developing countries
Diet
Economic aspects
Environmental health
Families & family life
Family size
Food
Food security
Food supply
GDP
Gross Domestic Product
Health aspects
Health sciences
Households
Income
LDCs
Low income groups
Malnutrition
Medical schools
Medicine
Medicine and Health Sciences
Nutrition
Nutrition research
People and Places
Population
Public health
Random sampling
Regression analysis
Research and Analysis Methods
Safety
Sample size
Sampling
Sampling methods
Sampling techniques
Statistical analysis
Statistical sampling
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Summary: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. 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
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0256634