Determinants of Household Food Security Status and Challenges of Building Resilience to Climate Variability and Change Posed by Drought in Tharaka Nithi, Kenya

2018 ◽  
pp. 1-29
Author(s):  
Victoria Gioto ◽  
Shem Wandiga ◽  
Christopher Oludhe
Keyword(s):  
Food Security ◽  
Climate Variability ◽  
Household Food Security ◽  
Climate Variability And Change ◽  
Household Food ◽  
Building Resilience ◽  
Food Security Status

Food Security Status and Factors Affecting Household Food Security in Enugu State, Nigeria

2021 ◽  
Vol 32 (1) ◽  
pp. 565-581
Author(s):  
Wilson Chukwukasi Kassy ◽  
Anne C Ndu ◽  
Chinyere Cecilia Okeke ◽  
Elisa Chwike Aniwada
Keyword(s):  
Food Security ◽  
Household Food Security ◽  
Factors Affecting ◽  
Household Food ◽  
Food Security Status ◽  
Enugu State

scholarly journals Measuring household food security: the global experience

2008 ◽  
Vol 21 (suppl) ◽  
pp. 27s-37s ◽  
Author(s):  
Hugo Melgar-Quinonez ◽  
Michelle Hackett
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
The United States ◽  
Household Food Security ◽  
United States Department ◽  
Department Of Agriculture ◽  
Governmental Agencies ◽  
Household Food ◽  
Food Security Status ◽  
New Research

Measuring household food insecurity represents a challenge due to the complexity and wide array of factors associated with this phenomenon. For over one decade, researchers and agencies throughout the world have been using and assessing the validity of variations of the United States Department of Agriculture Household Food Security Supplemental Module. Thanks to numerous studies of diverse design, size, and purpose, the Household Food Security Supplemental Module has shown its suitability to directly evaluate the perceptions of individuals on their food security status. In addition, challenges and limitations are becoming clearer and new research questions are emerging as the process advances. The purpose of this article is to describe the development, validation procedures, and use of the Household Food Security Supplemental Module in very diverse settings. The most common Household Food Security Supplemental Module related studies have been conducted using criterion validity, Rasch modeling and Cronbach-Alpha Coefficient. It is critical that researchers, policy makers, governmental and non-governmental agencies intensify their efforts to further develop tools that provide valid and reliable measures of food security in diverse population groups. Additional work is needed to synthesize a universally applicable tool able to capture the global human phenomenon of food insecurity.

scholarly journals Household Food Security Status and Its Determinants in Maphumulo Local Municipality, South Africa

2018 ◽  
Vol 10 (9) ◽  
pp. 3307 ◽  
Author(s):  
Primrose Ngema ◽  
Melusi Sibanda ◽  
Lovemore Musemwa
Keyword(s):  
South Africa ◽  
Food Security ◽  
Food Consumption ◽  
Dietary Diversity ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Household Food Security ◽  
Binary Logistic Regression Model ◽  
Household Food ◽  
Food Security Status

Food security at the household level remains a major issue in South Africa and for many other developing countries, particularly those in Africa. As a means of ensuring food security in KwaZulu-Natal province, various food security intervention programmes were launched. Nonetheless, food security remains an issue among households in the province. This paper estimates the household food security status of the “One Home One Garden” (OHOG) beneficiaries against that of non-beneficiaries and assesses the determinants of household food security status in Maphumulo. A stratified random sampling technique was used to sample 495 households (including 330 OHOG beneficiaries and 165 non-beneficiaries). The status of household food security was estimated by means of a “Household Dietary Diversity Score” (HDDS). Additionally, a Household Food Consumption Score” (HFCS) tool was employed to supplement the HDDS. The results showed that food consumption patterns were characterized by medium (4.89) and average (4.22) HDDS for the OHOG beneficiaries and non-beneficiaries, respectively. Taking HDDS as a proxy for household food security, an independent samples t-test (Levene’s test—equal variances assumed) reveals a significant (p < 0.001) relationship between the sample means of the two groups. A greater proportion (65%) of the OHOG beneficiaries had an acceptable (≥35) HFCS level, whereas just over half (54%) of the non-beneficiaries fell in the borderline (21.5 to 35) HFCS level. The determinants of household food security status were elicited by means of a binary logistic regression model. The results revealed that education (p = 0.036), receiving infrastructural support (irrigation) (p = 0.001), and participation in the OHOG programme (p = 0.000) positively influenced the food security status of households, yet household income (p = 0.000) and access to credit (p = 0.002) showed a negative correlation. This paper proposes that government and developmental agencies, in their efforts to enhance food security through food security intervention programmes, should support households by investing in education and agricultural infrastructure, as well as giving priority to smallholder infrastructural irrigation support for households that largely rely on rain-fed systems.

scholarly journals Soup kitchen users' social representations of healthy eating associated with their household food security status

2016 ◽  
Vol 29 (2) ◽  
pp. 229-240
Author(s):  
Isabel Cristina BENTO ◽  
Fernanda Martins SOBRINHO ◽  
Mery Natali Silva ABREU ◽  
Maria Flávia GAZZINELLI ◽  
Simone Cardoso Lisboa PEREIRA
Keyword(s):  
Food Security ◽  
Healthy Eating ◽  
Low Income ◽  
Univariate Analysis ◽  
Social Representation ◽  
Household Food Security ◽  
Household Food ◽  
Food Security Status ◽  
Food And Nutrition ◽  
Belo Horizonte

Objective: To verify whether what users of soup kitchens in Belo Horizonte, Minas Gerais, Brazil, think about a healthy diet and the challenges they face to eat healthy are associated with their household food security status. Methods: This cross-sectional study included 1,656 users of soup kitchens in Belo Horizonte. Socioeconomic and household food security data, and healthy-eating discourses were collected by a semi-structured questionnaire. The data were submitted to descriptive analyses for constructing frequency distribution tables, and to univariate analysis. Discourse analysis was based on the social representation theory. Results: To cut, reduce, avoid, not eat, eat less, and decrease carbohydrates, salt, meats, various beverages, and other foods are the most frequent changes (71.4%) that food-secure users have made or intend to make. Food-insecure users intended to eat more fruits, non-starchy vegetables, and other foods (34.4%). The main obstacles food-secure and food-insecure users face to adopt a healthier diet are lack of time (82.9%) and low income (53.5%), respectively (p<0.001). Conclusion: What users of soup kitchens in Belo Horizonte think about food and the obstacles they face to adopt a healthier diet are related to their household food security status. The results provide valuable data for effective proposals of food and nutrition education, which should act on the producers of subjectivity in this group and consider this group's food and nutrition security status.

scholarly journals Exploring Food Security and Household Dietary Diversity in the Eastern Cape Province, South Africa

2020 ◽  
Vol 12 (5) ◽  
pp. 1851
Author(s):  
Priviledge Cheteni ◽  
Yohane Khamfula ◽  
Gisele Mah
Keyword(s):  
Food Security ◽  
Food Consumption ◽  
Dietary Diversity ◽  
Household Food Security ◽  
Eastern Cape ◽  
Household Food ◽  
Binary Model ◽  
Food Security Status ◽  
Food Consumption Score ◽  
Household Dietary Diversity

Food security is one of the most severe challenges facing the majority of African countries. The objective of this study was to explore household food dietary diversity and food security in a rural area in the Eastern Cape Province, South Africa. A total of 296 household heads were randomly sampled to participate in the study. The Household Dietary Diversity Score (HDDS) and Household Food Consumption Score (HFCS) were used to identify the consumption patterns of the households and their food security status. Meanwhile, a binary model was used to identify the variables that had an impact on household food security. Findings from the Household Dietary Diversity Score (HDDS) revealed that 61 percent of the households had lower dietary diversity and were consuming at least three food groups, which mainly include pulses, milk, and cereals. The results from the Household Food Consumption Score (HFCS), however, showed that the majority of the households had adequate levels of food consumption. The binary model revealed that age, household income, access to credit, and gender are statistically significant in influencing household food security status in the study area. It can be concluded that household dietary diversity is not guaranteed by food security, as proven by the regression model. Therefore, the government should consider the impact of low income on food security and it should intensify efforts directed at helping rural households to reduce incidences of food insecurity.

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