scholarly journals Household level determinants of food insecurity in rural areas of Dire Dawa, eastern Ethiopia

2009 ◽  
Vol 9 (30) ◽  
pp. 1914-1926
Author(s):  
Ayalneh Bogale ◽  
◽  
Shimelis A ◽  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Survey Data ◽  
Rural Areas ◽  
Rural Households ◽  
Household Head ◽  
Household Food Insecurity ◽  
Household Level ◽  
Household Food ◽  
Dire Dawa

Even though the struggle to achieve food security at the household level in the rural areas of Ethiopia dates back a long period, it has remained as a challenging goal even today. Making their living on marginal, moisture stressed, heavily degraded and less productive land, households in rural areas of Dire Dawa face persistent food shortages. The design and implementation of effective measures to reduce household food insecurity in the region depends on in-depth understanding of its covariates. This study seeks to address these issues by assessing location specific socio-economic factors that influence food insecurity of households in rural areas of Dire Dawa Administrative region. The analysis is based on survey data gathered from randomly selected 115 sample rural households in the study area. A binary logit model was used to identify the factors influencing household level food insecurity. A total of thirteen explanatory variables were included in the empirical model. The empirical results estimated using the survey data to identify the determinants of food insecurity among rural households in the study area revealed mixed impressions. Among variables considered , family size, annual income, amount of credit received, access to irrigation, age of household head, farm size, and livestock owned showed theoretically consistent and statistically significant effect. However, estimated coefficients of number of oxen owned and dependency ratio showed theoretically inconsistent and statistically insignificant effect on the probability of household to be food insecure.. Estimated coefficients of sex of household head, total off-farm income, education of household head and amount of food aid received were not found to be statistically significant in determining household food insecurity in the study area. The findings imply that improvement in food security situation needs to build assets, improve the functioning of rural financial markets and promote family planning. These areas could provide entry points for policy intervention to reduce hunger and augment household and community livelihood opportunities.

scholarly journals Comparing measures of urban food security in Accra, Ghana

Food Security ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 417-431 ◽  
Author(s):  
Cascade Tuholske ◽  
Kwaw Andam ◽  
Jordan Blekking ◽  
Tom Evans ◽  
Kelly Caylor
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Sub Saharan Africa ◽  
Poor Correlation ◽  
Household Food Insecurity ◽  
Urban Food Security ◽  
Household Level ◽  
Household Food ◽  
Sub Saharan ◽  
Food Insecurity Access

AbstractThe urban population in Sub-Saharan Africa is projected to expand by nearly 800 million people in the next 30 years. How this rapid urban transition is affecting household-level urban food security, and reverberating into broader food systems, is poorly understood. To fill this gap, we use data from a 2017 survey (n = 668) of low- and middle-income residents of Accra, Ghana, to characterize and compare the predictors of household-level food security using three established metrics: the Household Food Insecurity Access Scale (HFIAS); the Household Food Insecurity Access Prevalence (HFIAP); and the Food Consumption Score (FCS). According to HFIAP, 70% of sampled households are food insecure, but only 2% fall below acceptable thresholds measured by FCS. Only one household reported sourcing food from modern supermarkets and fewer than 3% produce food for consumption through gardening, farming, or fishing. Instead, households rely on purchased food from traditional markets, local stalls and kiosks, and street hawkers. Results from a suite of general linear models show that household assets, education, and demographic characteristics are significantly associated with food security outcomes according to HFIAS and HFIAP. The poor correlation and weak model agreement between dietary recall such as FCS, and experience-based food security metrics, like HFIAS and HFIAP, highlight limitations of employing historically rural-centric food security measurement approaches within the urban context. Given that Sub-Saharan Africa’s future is urban, our results add empirical evidence in support of the growing chorus of scholars advocating for comprehensive urban-oriented food security research and policy agendas across Sub-Saharan Africa.

scholarly journals Hunger in the midst of plenty: A survey of household food security among urban families in Lagos State, Nigeria

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Alero Ann Roberts ◽  
James Olufemi Osadare ◽  
Victor Akpan Inem
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Urban Communities ◽  
National Level ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Significance Level ◽  
Household Level ◽  
Household Food ◽  
Lagos State

Research has documented that food security at national level does not translate to food security at household level. The study assessed the level of food security among urban households in Shomolu LGA, Lagos State. Using the 9-item Household Food Insecurity Access Scale (HFIAS) information was collected from 306 heads of households on adequacy of food availability and consumption. Data were analyzed using Epi info and presented as frequencies and percentages. Associations between variables were tested using Chisquare at a significance level of 0.05. Households were classified as food secure, food insecure without hunger and food insecure with hunger. Only 33.8% of households were food secure, 45.1% were food insecure without hunger and 21.1% were food insecure with hunger. Food secure households were statistically significantly associated with households where heads had secondary or higher education, women were married, spending <40% of household monthly income on food and living in their own homes (P=0.001). Household food insecurity is found in urban communities and is positively associated with indicators of poverty.

scholarly journals Using Household Fit Indices to Examine the Psychometric Quality of Food Insecurity Measures

2017 ◽  
Vol 78 (6) ◽  
pp. 1089-1107 ◽  
Author(s):  
George Engelhard ◽  
Matthew P. Rabbitt ◽  
Emily M. Engelhard
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
The United States ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Fit Indices ◽  
Household Level ◽  
Household Food ◽  
Psychometric Quality

This study focuses on model–data fit with a particular emphasis on household-level fit within the context of measuring household food insecurity. Household fit indices are used to examine the psychometric quality of household-level measures of food insecurity. In the United States, measures of food insecurity are commonly obtained from the U.S. Household Food Security Survey Module (HFSSM, 18 items) of the Current Population Survey Food Security Supplement (CPS-FSS). These measures, in various forms, are used to inform national programs and policies related to food insecurity. Data for low-income households with children from recent administrations of the HFSSM (2012-2014) are used in this study ( N = 7,324). The results suggest that there are detectable levels of misfit with Infit mean square error (MSE) statistics ranging from 6.73 % to 21.33% and Outfit MSE statistics ranging from 5.31% to 9.68%. The data suggest for Outfit MSE statistics that (a) male respondents, (b) respondents with lower levels of education, and (c) respondents who did not report participating in SNAP (Supplemental Nutrition Assistance Program, formerly the Food Stamp Program) tend to have more misfit. For Infit MSE statistics, lack of homeownership appears to be a predictor of misfit. The implications of this research for future research, theory, and policy related to the measurement of household food insecurity are discussed.

scholarly journals Food Insecurity and the Double Burden of Malnutrition in Colombian Rural Households

2021 ◽  
pp. 1-39
Author(s):  
Ana María Sansón-Rosas ◽  
Jennifer Bernal-Rivas ◽  
Stan Kubow ◽  
Andrés Suarez ◽  
Hugo Melgar-Quiñonez
Keyword(s):  
Logistic Regression ◽  
Food Insecurity ◽  
Latin American ◽  
Rural Areas ◽  
Rural Households ◽  
Household Food Insecurity ◽  
Double Burden ◽  
Cross Sectional ◽  
Household Food ◽  
Double Burden Of Malnutrition

Abstract Objective: This study aimed to examine in Colombian rural households the association between different severity levels of household food insecurity and the presence of the double burden of malnutrition (SCOWT), defined as the coexistence of a stunted child under five years and an overweight or obese (OWOB) mother. Design: A secondary data analysis was conducted using cross-sectional data from the Colombian National Nutritional Survey (ENSIN) 2015. Household food insecurity status was assessed by using the Latin-American and Caribbean Food Security Scale (ELCSA). The household SCOWT status (child stunting and OWOB mother) was determined using anthropometric data from a mother and her child. Setting: Rural Colombia Participants: 2.350 mother-child pairs living in the same household Results: Sixty-two percent of the households were food insecure and SCOWT was present in 7.8% of the households. Moderate (OR: 2.39 – CI: 1.36 - 4.21) and severe (OR: 1.86 – CI: 1.10 - 3.15) food insecurity was associated with SCOWT in an unadjusted logistic regression. Only moderate food insecurity remained significantly associated with SCOWT in a multivariate logistic regression (aOR: 2.41 - IC: 1.24 – 4.68). Conclusions: Colombian rural areas are not exempt from the worldwide concern of increasing OWOB rates while stunting is still persistent. These results highlight the need of implementing double duty rural actions targeting most vulnerable households to SCOWT, particularly in terms of overcoming food insecurity beyond hunger satisfaction to prevent all forms of malnutrition.

scholarly journals Bayesian regression model with application to a study of food insecurity in household level: a cross sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yenesew Fentahun Gebrie
Keyword(s):  
Food Insecurity ◽  
Soil Fertility ◽  
Bayesian Estimation ◽  
Agricultural Land ◽  
Household Head ◽  
Household Food Insecurity ◽  
Cross Sectional ◽  
Household Level ◽  
Household Food ◽  
Land Size

Abstract Background Food insecurity is a situation in which access to sufficient food is limited at times during the year by a lack of money and other resources. Even though several efforts were made to recover food security, still it is a critical social problem that needs immediate attention from policy and other decision makers especially in Ethiopia. The objective of the paper was to identify the significant predictors of food insecurity at household level in the given District. Method A cross-sectional survey study was employed among 305 households selected using systematic random sampling technique. The data was collected using structured interviewer administrative questionnaire. Descriptive statistics was used to assess the prevalence of food insecurity status, and Bayesian estimation on binary logistic regression was used to identify the significant predictors of household food insecurity. Gibbs sampler algorithm was employed on Win BUGS software. Convergence of algorithm was assessed by using time series plot, density plot and auto correlation plot. Result The prevalence of household food insecurity was 59% in the study District. From Bayesian estimation, the significant predictors of food insecurity were sex of household head, agro-ecological zone, loan status, access to agricultural training, age of household head, marital status of household head, family size, agricultural land size, tropical livestock unit, and soil fertility of agricultural land. Conclusion The result shows that the households headed by male; who had own land, who land fertile soil, and those who took agricultural training were less likely to be food insecure. On the other hand, households with large family size, small farm land size and less tropical livestock unit were more likely to be food insecure. Hence, to increase food production and productivity of the farmers, proper attention should be given to improve soil fertility of agricultural land. Creating access to credit to households and providing them with agricultural training and family planning should be also emphasized.

scholarly journals Exploring the Determinants of Food Security in the Areas of the Nam Theun2 Hydropower Project in Khammuan, Laos

2020 ◽  
Vol 12 (2) ◽  
pp. 520
Author(s):  
Phouvong Phami ◽  
Jianhua He ◽  
Dianfeng Liu ◽  
Su Ding ◽  
Patrik Silva ◽  
...  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Income ◽  
Driving Forces ◽  
Household Head ◽  
Population Expansion ◽  
Skills Training ◽  
Household Food Insecurity ◽  
Hydropower Project ◽  
Household Food

This article examines the driving forces of food security in the areas of the Nam Theun2 Hydropower Project (NT2) in Khamuan, Laos. A questionnaire survey was conducted to collect data from 100 NT2 resettlement households based on the random sampling technique. A linear regression technique was used to identify the influence of household food insecurity. The result showed that household size, food price, drought, shock, household income per month, number of laborers, gender of the household head, and farmland areas are important factors for household food insecurity. Policies should focus on irrigation that will permit yearlong cultivation. This will in turn become the stimulus for a concatenation of events in the process of development. People will resettle to practice agriculture while also expanding non-agricultural employment. Businesses in skills training, fish processing, textile, services, and crafts will be created, boosting household income. With inevitable population expansion, education in family planning will also be necessary to control population in relation to available resources.

scholarly journals Household food insecurity and hunger among households in Sidama district, southern Ethiopia

2011 ◽  
Vol 15 (7) ◽  
pp. 1276-1283 ◽  
Author(s):  
Nigatu Regassa ◽  
Barbara J Stoecker
Keyword(s):  
Food Insecurity ◽  
Technical Assistance ◽  
Rural Households ◽  
Household Head ◽  
Safety Net ◽  
Household Wealth ◽  
Southern Ethiopia ◽  
Household Food Insecurity ◽  
Smallholder Farming ◽  
Household Food

AbstractObjectiveTo examine household food insecurity and hunger in Sidama Zone, one of the most populous zones in southern Ethiopia.DesignCross-sectional survey administered individually by trained interviewers. Food insecurity was calculated with both the Household Food Insecurity Access Scale (HFIAS) and the Household Hunger Scale (HHS), developed by the Food and Nutrition Technical Assistance Project.SettingRural households from ten kebeles (the smallest administrative district) selected from two agro-climatic zones in Sidama, southern Ethiopia, from December 2010 to January 2011.SubjectsMen and women respondents from 1094 rural households were selected using multistage sampling techniques.ResultsUsing the HFIAS, 17·7 % of households were food secure. The percentage of households that were mildly, moderately and severely food insecure was 6·8 %, 27·7 % and 47·8 %, respectively. Using the HHS, 29·0 % and 5·6 % of households fell into the moderate and severe household hunger categories. Using multivariate statistical techniques, five variables were significant predictors of both food insecurity and hunger. These variables were migration of a household member, agro-climatic zone, and younger age, less education and lower radio access for the woman. Being eligible for safety-net credit programmes also was a predictor of hunger, while limited animal ownership and household wealth as well as alcohol use by the household head added to the prediction of food insecurity.ConclusionsThe study documented that food insecurity is a major concern of smallholder farming households in the study area. A substantial majority of the households were facing mild to severe food insecurity and hunger for an extended period of time.

Factors Associated with Domestic Violence in Rural Bangladesh

2020 ◽  
pp. 088626052092235
Author(s):  
Md Ahshanul Haque ◽  
Nuzhat Choudhury ◽  
S. M. Tanvir Ahmed ◽  
Fahmida Dil Farzana ◽  
Mohammad Ali ◽  
...  
Keyword(s):  
Decision Making ◽  
Domestic Violence ◽  
Food Insecurity ◽  
Rural Areas ◽  
Household Head ◽  
Baseline Survey ◽  
Household Food Insecurity ◽  
Rural Bangladesh ◽  
Household Food ◽  
Characteristic Domain

Women’s experience of domestic violence has adverse consequences on women’s health globally and is itself affected by several factors. This study aims to determine the factors that are associated with experience of any form of domestic violence in rural Bangladesh. Data were derived from the baseline survey database of Suchana, a large-scale nutrition program in Bangladesh. Data of 5,440 women from poor households in rural areas were analyzed. Descriptive statistics were used to summarize the data. Multilevel logistic regression analysis was conducted to determine the factors that were significantly associated with experiencing any form of domestic violence. The prevalence of women experiencing domestic violence was found to be 35% and household food insecurity was 86%. Of the women’s characteristic domain, age at marriage, lack of any support from household members, visit from non-governmental organizations (NGO) health professionals, number of children, and decision-making power of women at the household level were significantly associated with reporting of domestic violence. Of the household characteristic domain, the associated factors were having a male household head, increased household size, low socio-economic status, having a loan, experience of at least one crisis event, and household food insecurity. The strength of association between household food insecurity and domestic violence was higher among poor families. Experience of domestic violence is inevitably associated with women’s decision-making power and household food insecurity. Behavioral change communication interventions may help to positively affect decision-making power but a holistic approach needs to be undertaken to reduce food insecurity, for which the underlying mechanism of food insecurity in Bangladesh needs to be explored further.

scholarly journals Preparing for COVID-19: Household food insecurity and vulnerability to shocks in Nairobi, Kenya

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259139
Author(s):  
Elizabeth Opiyo Onyango ◽  
Jonathan Crush ◽  
Samuel Owuor
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Emergency Preparedness ◽  
Multilevel Modelling ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Preparedness Plan ◽  
Household Food ◽  
New Policies ◽  
Social Safety Nets

An understanding of the types of shocks that disrupt and negatively impact urban household food security is of critical importance to develop relevant and targeted food security emergency preparedness policies and responses, a fact magnified by the current COVID-19 pandemic. This gap is addressed by the current study which draws from the Hungry Cities Partnership (HCP) city-wide household food insecurity survey of Nairobi city in Kenya. It uses both descriptive statistics and multilevel modelling using General Linear Mixed Models (GLMM) to examine the relationship between household food security and 16 different shocks experienced in the six months prior to the administration of the survey. The findings showed that only 29% of surveyed households were completely food secure. Of those experiencing some level of food insecurity, more experienced economic (55%) than sociopolitical (16%) and biophysical (10%) shocks. Economic shocks such as food price increases, loss of employment, and reduced income were all associated with increased food insecurity. Coupled with the lack of functioning social safety nets in Nairobi, households experiencing shocks and emergencies experience serious food insecurity and related health effects. In this context, the COVID-19 pandemic is likely to have a major negative economic impact on many vulnerable urban households. As such, there is need for new policies on urban food emergencies with a clear emergency preparedness plan for responding to major economic and other shocks that target the most vulnerable.

scholarly journals Association between Household Food Insecurity and Asthma in Korean Adults

2019 ◽  
Vol 16 (12) ◽  
pp. 2115 ◽  
Author(s):  
Seo-Hee Park ◽  
Byung-Jin Park ◽  
Dong-Hyuk Jung ◽  
Yu-Jin Kwon
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Confidence Intervals ◽  
Household Food Security ◽  
Asthma Prevalence ◽  
Household Food Insecurity ◽  
Confounding Factors ◽  
Odds Ratios ◽  
Korean Adults ◽  
Household Food

Household food insecurity has been associated with noncommunicable diseases. The aim of this study was to investigate the association between household food insecurity and asthma in Korean adults. Household food security statuses were classified into three groups: Food-secure household, food-insecure household without hunger, and food-insecure household with hunger. The odds ratios and 95% confidence intervals for the presence of asthma according to household food security status were calculated using multiple logistic regression analyses after adjusting for confounding factors. A total of 14,770 participants were included in the analysis. The prevalence of asthma was 2.6% in those with a secure food status, 3.2% in those with an insecure food status without hunger, and 7.6% in those with an insecure food status with hunger (p < 0.001). Compared with that in participants with a household food secure status, the odds ratios (95% confidence intervals) for asthma were 1.12 (0.73–1.73) in those with a food-insecure household without hunger status and 2.44 (1.33–4.46) in those with a food-insecure household with hunger status after additionally adjusting for confounding factors. We found that household food insecurity with hunger was significantly associated with asthma prevalence in Korean adults. Implementation of household food security screening and public health intervention could be helpful to prevent and reduce asthma in adults.

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