scholarly journals Household food security and HIV status in rural and urban communities in the Free State province, South Africa

2017 ◽  
Vol 14 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Michélle Pienaar ◽  
Francois C. van Rooyen ◽  
Corinna M. Walsh
2020 ◽  
Vol 54 (5) ◽  
Author(s):  
Kim Leonard G. Dela Luna ◽  
Ernani R. Bullecer

Objective. Rural and urban differences affect food availability, accessibility, and sustainability; thus, it has a greatimpact on household food security and dietary diversity. The relationship between the human environment andother factors threatens different domains of food systems resulting in food security. The objective of this study isto determine significant differences between the prevalence of household food security and diet diversity betweenurban and rural communities in Occidental Mindoro. Specifically, to determine the pattern of usual food intake ofpreschool children between rural and urban communities Methods. This study utilized a comparative, cross-sectional, analytic study design in order to determine theprevalence of each variable of interest in the two study areas. Radimer-Cornell Tool was utilized to assess the foodsecurity status of the household while the FAO-Dietary Diversity Score Questionnaire was used to the diversityof diet among PSC. A total of 480 (rural: n=240; urban: n=240) preschool children were recruited to participatein this study. Ratio and proportion using the point and interval estimate were used to determine the prevalencein different areas, meanwhile, chi-square of homogeneity was used to determine significant difference in the twoareas under study. Results. Food insecurity in rural communities was found to be at 56.25% (95% CI: 49.97% to 62.53%) while theprevalence in urban communities was 45.83% (95% CI: 39.53% to 52.14%). There was a significant differencein the prevalence of household food insecurity between rural and urban communities (p=0.0224). Meanwhile,the prevalence of less dietary diversity among preschool children in rural communities was 37.08% (95%: 30.97%to 43.19%) and 26.25% (CI: 20.68% to 31.82%) for urban communities. There was a significant differencein prevalence of low dietary diversity score among preschool children between rural and urban communities(p=0.0107). Conclusion. There were significant differences in terms of household food insecurity and less diverse dietbetween two community settings. Higher prevalence in rural areas signifies that there is a need to prioritize thesevulnerable communities in terms of hunger mitigation and nutrition programs. A combination of milk-rice-meat-fishwas observed in the diet of preschool children for both communities however, higher prevalence of less dietarydiversity was detected among rural communities.


2018 ◽  
Vol 10 (9) ◽  
pp. 3307 ◽  
Author(s):  
Primrose Ngema ◽  
Melusi Sibanda ◽  
Lovemore Musemwa

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.


2021 ◽  
Vol 8 (10) ◽  
pp. 131-145
Author(s):  
Emilio Edu Nguema Osea ◽  
Wang Jian

Food is of primary importance for households. Equatorial Guinea (EG) has progressed much in income growth but less in living standard, which includes food security. To situating food–insecurity prevalence in EG, this paper researches household food security-access, and its link-cause to agriculture–considering the Covid-19– using the Household Hunger Scale (HHS). On the data, we surveyed 400 households, imparted in EG rural and urban areas of Bioko Island and the mainland. The results reveal a 2.4 mean for both rural and urban Bioko, placing households at moderate hunger level. On the mainland, rural scores 3.21 (the area most affected), yet falling in moderate hunger level; while the urban scores best 0.64 and stands in the food-safe zone. It derives that diet is rather monotonous and embrace–mainly– carbohydrates rice, bread, cassava, and plantain. A focus on boosting the productivity of staples is paramount for Food security and even national security.


2013 ◽  
Vol 12 (5) ◽  
pp. 543 ◽  
Author(s):  
TJ Sekhampu

This study investigates the food security status of households in the township of Bophelong, South Africa. The results are based on a household survey using questionnaires. A Logistic regression model was estimated based on this data with the household food security status (that is food secure and insecure) as the dependent variable and a set of demographic variables as explanatory variables. It was found that about 26 percent of the sampled households are food secure. Further analysis identified household income, household size, marital status, employment status, age and gender of the household head as important determinants of food security. While other variables of importance positively influenced food security, household size and the marital status of the household head were negatively associated with household food security. The educational attainment of the household head was not important in explaining the variation in household food security status. Information provided by this study can be used as a reference source for policy decisions regarding household food security in South Africa.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Alero Ann Roberts ◽  
James Olufemi Osadare ◽  
Victor Akpan Inem

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.


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