COVID-19 social relief of distress grant and food insecurity in South Africa

Food insecurity in urban South Africa is situated in both historic and contemporary factors. This article argues that there is a need to reimagine and reconceptualise national, socio-ecclesial and theological responses to urban food insecurity in South Africa. We contend that the global and enduring nature of food insecurity is indicative of the violence of hunger and poverty and can be viewed as structural violence. While the church has since its inception been involved in feeding the hungry, the structural and systemic nature of food insecurity requires more nuanced theological responses and reflections. As a prophetic voice, the church and theological reflection and action are important partners in conversations, dialogue, measures and interventions geared towards the eradication of hunger and food insecurity in urban South Africa. A descriptive and evaluative method of enquiry was adopted in order to identify the historic structural and systemic factors that perpetuate food insecurity in South Africa. This article concludes that social inequality, economic disenfranchisement and poverty are as a result of structural inequalities that amount to structural violence inflicted on the most vulnerable of society.

PurposeHousehold food insecurity in South Africa is a pervasive public health challenge. Although its link to chronic health conditions is well established, its relationship to mental illness, particularly major depression, is not well-understood. Despite KwaZulu-Natal Province being the epicenter of the drug-resistant tuberculosis (MDR-TB) epidemic, and having the largest share of poverty in South Africa, this relationship remains unexamined. This study investigated the association between major depressive episode (MDE) and household food insecurity among individuals with MDR-TB.MethodsWe enrolled and interviewed 141 newly admitted microbiologically confirmed MDR-TB inpatients at a specialized TB hospital in KwaZulu-Natal Province, South Africa. Logistic regression models were fitted to assess the relationship between MDE and household food insecurity, while accounting for socio-demographic status (e.g., age, gender, education, marital status, social grant status, income, and preference for living in one’s community).ResultsThe prevalence of MDE and household food insecurity was 11.35% and 21.01%, respectively. MDE was significantly associated with household food insecurity (aOR 4.63, 95% CI 1.17–18.38). Individuals who are female (aOR 6.29, 95% CI 1.13–35.03), young (aOR 8.86, 95% CI 1.69–46.34), have low educational attainment (aOR 6.19, 95% CI 1.70–22.59) and receive social grants (aOR 7.60, 95% CI 2.36–24.48) were most at risk of household food insecurity.ConclusionsMDE in individuals with MDR-TB was significantly associated with household food insecurity, independent of socio-economic status. Although MDR-TB is not exclusively a disease of the poor, individuals from socio-economically disadvantaged backgrounds (e.g., female, young adults, low education, and social grant recipients) were more likely to experience household food insecurity. Our study underscores the need to address the co-occurring cycles of food insecurity and untreated MDE in South Africa.

Quantitative Indicators from a Food Expenditure Survey Can Be Used to Target the Food Insecure in South Africa

Food insecurity in South Africa: To what extent can social grants and consumption of wild foods eradicate hunger?

This study examines how the smoking behavior of household head impacts the food insecurity status of household in South Africa, with a focus on smoking behavior transition. The study used the fifth wave of the 2017 National Income Dynamics Study survey. Additionally, the smoking transition variable was computed using smoking status in waves 3 and 5 of the survey. Foster-Greer-Thorbecke food insecurity index, descriptive statistics, and logit regression techniques were deployed in the study. Surprisingly, the analysis shows that households headed by current smokers have a lower prevalence of food insecurity (compared to households whose heads are nonsmokers). Similarly, household food insecurity prevalence is lesser for homes whose head initiated smoking behavior or remained a smoker compared to those whose head remained a nonsmoker or transition to nonsmoking. Nevertheless, the findings from the applied logit regression suggested that household food insecurity significantly increases when a household head is a current smoker and a consistent smoker. The finding indicates that household head smoking behavior does contribute to household food insecurity in South Africa. The need to address food insecurity at the household level is a compelling argument for tobacco smoking cessation or control in addition to health consequence concerns.

This study aims to integrate underutilized crops (UCs) into the food system to address climate change impacts, and food -water insecurity. UCs have immense potential to mitigate food shortages, yet their role remains largely unexplored in mainstream agricultural and food security strategies. A multidisciplinary approach using social psychology, resource-based theory (RBT), and a new ecological paradigm was used to investigate factors influencing UCs adoption and their potential contribution to water and food insecurity in South Africa. The water poverty index (WPI) and household food insecurity access score (HFIAS) were used to determine the water and food insecurity status of rural households. The study found that UCs cultivation was driven by awareness, access to extension advisory services, and climate information. The findings indicate that adopting UCs significantly improves water and food insecurity in South Africa. Consequently, households that integrated UCs into their farming systems experienced higher WPI scores, reflecting improved water availability and conservation, as UCs require less water than conventional crops. Likewise, lower HFIAS values suggest that UCs enhance food insecurity by diversifying diets, stabilizing food access, and reducing seasonal hunger. Statistically, households in Limpopo, Mpumalanga, and North-West provinces who adopted UCs saw 25.18 (21%), 31.03 (26%), and 28.77 (24%) rise in WPI and HFIAS compared to those who did not embrace UCs, respectively. These results highlight the potential of UCs as climate-resilient crops that mitigate water scarcity and food insecurity, making them a viable strategy for enhancing rural livelihoods amid climate change. Therefore, prioritizing UCs cultivation could build more resilient agricultural systems, address water scarcity and improve food security.

Household food insecurity in South African suburban low-income households is a major challenge. Research outcomes that will inform decisions on effective solutions towards reducing household food insecurity in South Africa are essential. The purpose of this study was firstly to determine the food security status of households and the skills of household members in Ward 60 of the Nelson Mandela Bay Municipality in the Eastern Cape Province in South Africa. Secondly, it was also to determine the association between the socioeconomic and demographic variables of the households and their level of food (in-)security. The study employed a mixed method of both qualitative and quantitative methodologies, comprising a qualitative Community-Based Participatory Action Research (CBPAR) methodology and a quantitative household food security survey methodology. A household food security survey was employed using a questionnaire that was based on the Household Food Insecurity Access Scale (HFIAS). The questionnaire was used to collect data from 170 randomly selected households. The data analysis used the HFIAS score and logistic regression analysis. The results show 6.1% of households as food secure, 3.05% as mildly food insecure, 13.4% as moderately food insecure, and 77.4% as severely food insecure. The results also show that a significant unemployment rate, a reliance on social grants, and absence of income seriously impact the extent of household food insecurity. The results show a significant association between the household food security and the variables of unemployment, income, and gender. The regression analysis results suggest that gender, household size, age, employment, and household income influence household food security. The results of the household skills show that the households had a variety of skills. These results can help to inform decisions by the government, local municipalities, NGOs, and other stakeholders towards designing effective solutions for enhancing household food security.

This article maps food insecurity in South Africa and plumbs the data to women-headed households at the municipal level. Local contexts provide a better understanding of people's experiences by studying the impact their geographical location has on their economic status, and the impact their raced and gendered identities have on that experience. Localised information could also ensure that more nuanced policies are developed to address inequalities. Food insecurity is a marker of exclusion and poverty in urban and rural areas across South Africa, but women are more likely than men to be food insecure, especially in the rural areas. Data are combined from Statistics South Africa's Income and Expenditure Survey and Community Survey (both 2008) to arrive at a more accurate assessment of food insecurity at municipal level in South Africa. The National Department of Agriculture places food insecurity at 50%, while this study argues that approximately 64% of households in South Africa are food insecure, a result which has policy implications. Our study also uses data that provide a more nuanced approach that shows provincial and municipal variations that are much higher than the national average, which should support provincial and local government policies that address food insecurity more effectively. The article also argues that due to male-biased economic, cultural and community practices, women-headed households are most food insecure. In light of this information, the article provides a nuanced understanding of women's food insecurity in the country. We offer policy recommendations on how women's food insecurity could be reduced in the areas where it is most prevalent. The importance of gender-sensitive development policies, localised contextual knowledge, and innovative strategies that would assist women in their efforts to become food secure, particularly in rural areas across South Africa, are highlighted.

Food insecurity in South Africa remains a persistent challenge. Traditionally, food insecurity has been seen as affecting rural areas only, and this perspective had previously informed, and is still informing, policy and food security responses. South Africa is over 60% urbanised and yet policies and mandates regarding food security do not reflect this shift. This chapter seeks to answer the question ‘how food secure are South Africa’s cities?’, describing the state of food insecurity in South Africa’s cities, but also highlighting the specific nature of urban food insecurity. The chapter argues that food insecurity is the result of poorly framed and mandated policies, that food insecurity is driven by changes in the food system, and that spatial and structural issues also drive food insecurity. These challenges are reinforced in cities where the food insecure rely on the market as a means to ensure food availability. South Africa’s cities are food insecure and will remain so within the current market and governance regimes.

BackgroundRecent studies have confirmed that the COVID-19 lockdown has caused massive job losses. However, the impact of this loss on food security is not well-understood. Moreover, a paucity of evidence exists regarding social protection grants’ countervailing effects against such shocks. This study examined the effects of job loss (labour income loss) on child and household hungers (our two measures food insecurity) during COVID-19 pandemic in South Africa. It also ascertained whether these effect were offset by alternative social grant programs to document the protective role of the latter.Data and methodsWe used South Africa’s National Income Dynamics Study (NIDS) and the Coronavirus Rapid Mobile Survey (CRAM) data. These data cover a nationally representative sample of 7073 individuals. We employed a probit model to estimate the effect of job loss and receipts of various social grants on child and households’ hungers. We also estimated the double-selection logit model to account for the model’s uncertainty surrounding the variable selection and treatment-effects estimation using lasso (Telasso) for causal inference of our analysis.ResultsOur analyses showed that households exposed to a labour market shock during the pandemic experienced a significant increase in our measures of food insecurity (child and household hungers). Specifically, we found that compared with households containing employed respondents, households with respondents who lost their jobs due to COVID-19 lockdown were 5.4% more likely to report child hunger and 2.6% more likely to report household hunger in the past seven days A receipt of child support grant reduces the likelihood of reporting child hunger and household hunger by 21.7%and 16.9% respectively among these households. A receipt of old age pension grant reduces the likelihood of reporting household hunger by 24% with no significant effect on child hunger.ConclusionThe COVID-19 lockdown resulted in unprecedent job losses with significant implications for food insecurity. Job loss due to COVID-19 lockdown significantly increased food insecurity in South Africa. Receipts of social grants effectively offset this adverse effect. The protective effect of the social grant is heterogenous across its alternative programs (child support grant and old age pension grant) and food insecurity, suggesting the differences in the size of transfers and motivations for sending these transfers.

ABSTRACTAfrica’s high level of food insecurity is exacerbated by rapid urbanisation, leading to the diversion of resources from food production in rural areas. Despite this, food insecurity policies continue to disproportionately focus on rural dwellers due to persistently high levels of rural poverty. We examine the association between housing type and urban food insecurity using the 2017 South Africa General Household Survey. Using the Household Food Security Access Scale and a dietary diversity indicator, we find that like other forms of deprivation in South Africa, food insecurity has significant racial and gender dimensions. Dwelling type is vital in influencing the food insecurity of households using both measures. Persons living in informal homes are more likely to experience food insecurity than those in semi-formal and formal dwellings. There is a need to create a synergy between new and already existing programmes so that they are appropriately leveraged.

Food insecurity impacts childhood nutritional status, physical and cognitive development, and increases lifetime risk for chronic disease. Previous South African studies have examined hunger at the sub-national level without a specific focus on children and adolescents. This study determines the national prevalence of childhood food insecurity, from birth to adolescence, and identifies factors associated with hunger within the household. Individual and household-level data were extracted from the South African National Health and Nutrition Examination Survey (SANHANES-1). Prevalence of food insecurity was assessed using the Community Childhood Hunger Identification Project (CCHIP) index. Multinomial logistic regression analyses were conducted on all households (with and without children) to determine the predictors of food insecurity, with additional analyses adjusting for child dependency and sociodemographic characteristics of household heads in households with children. Of 5 098 households surveyed, 68.6% had children and adolescents present (0-19 years). Of these households, 32.5% (95% Confidence Interval [CI]: 29.5-35.7) were experiencing hunger and 26.3% (95% CI: 23.9-28.8) were at risk of hunger. Among all the households, significant associations for experiencing hunger were the presence of children and adolescents: Adjusted Odds Ratio (AOR) = 1.68 (95% CI: 1.12-2.53); being female-headed: AOR = 1.53 (95% CI: 1.21-1.94) and informally-located; AOR = 1.6 (95% CI: 1.07-2.43). Of the racial groups, having a non-African household head, Coloured: AOR = 0.29 (95% CI: 0.19-0.44) and White/Indian/Asian: AOR = 0.12 (95% CI: 0.04-0.33) conferred lower odds of experiencing hunger; and, the household head having secondary/tertiary education conferred lower odds of experiencing hunger; AOR = 0.40 (95% CI: 0.28-0.56) as well as being at risk of hunger; AOR = 0.69 (95% CI: 0.52-0.92). Receiving social grants, pensions, or remittances more than doubled the odds of experiencing hunger; AOR = 2.15 (95% CI: 1.49-3.09). After adjusting for child dependency in households with children, having at least one older child (age 15-19 years old) did not change the odds of food insecurity. In summary, only 41% of South African households with children and adolescents were food secure. The associations between household head sociodemographics, household location and size on household food insecurity indicate a need for multi-sectoral interventions to bolster sustainable food systems for households with children and adolescents and to improve public protections for female-headed, African-headed and informally-located households dependent on social grants.

Food insecurity impacts childhood nutritional status, physical and cognitive development, and increases lifetime risk for chronic disease. Previous South African studies have examined hunger at the sub-national level without a specific focus on children and adolescents. This study determines the national prevalence of childhood food insecurity, from birth to adolescence, and identifies factors associated with hunger within the household. Individual and household-level data were extracted from the South African National Health and Nutrition Examination Survey (SANHANES-1). Prevalence of food insecurity was assessed using the Community Childhood Hunger Identification Project (CCHIP) index. Multinomial logistic regression analyses were conducted on all households (with and without children) to determine the predictors of food insecurity, with additional analyses adjusting for child dependency and sociodemographic characteristics of household heads in households with children. Of 5 098 households surveyed, 68.6% had children and adolescents present (0–19 years). Of these households, 32.5% (95% Confidence Interval [CI]: 29.5–35.7) were experiencing hunger and 26.3% (95% CI: 23.9–28.8) were at risk of hunger. Among all the households, significant associations for experiencing hunger were the presence of children and adolescents: Adjusted Odds Ratio (AOR) = 1.68 (95% CI: 1.12–2.53); being female-headed: AOR = 1.53 (95% CI: 1.21–1.94) and informally-located; AOR = 1.6 (95% CI: 1.07–2.43). Of the racial groups, having a non-African household head, Coloured: AOR = 0.29 (95% CI: 0.19–0.44) and White/Indian/Asian: AOR = 0.12 (95% CI: 0.04–0.33) conferred lower odds of experiencing hunger; and, the household head having secondary/tertiary education conferred lower odds of experiencing hunger; AOR = 0.40 (95% CI: 0.28–0.56) as well as being at risk of hunger; AOR = 0.69 (95% CI: 0.52–0.92). Receiving social grants, pensions, or remittances more than doubled the odds of experiencing hunger; AOR = 2.15 (95% CI: 1.49–3.09). After adjusting for child dependency in households with children, having at least one older child (age 15–19 years old) did not change the odds of food insecurity. In summary, only 41% of South African households with children and adolescents were food secure. The associations between household head sociodemographics, household location and size on household food insecurity indicate a need for multi-sectoral interventions to bolster sustainable food systems for households with children and adolescents and to improve public protections for female-headed, African-headed and informally-located households dependent on social grants.

Household food insecurity is a major determinant of undernutrition, yet there is little information on its prevalence in the South African population. This paper assesses household food insecurity in South Africa using a quantitative and objective measure, known as food poverty, and provides prevalence estimates by geographic area and socio-economic condition. Secondary data analysis combining two sources: Statistics South Africa's household-based 1995 Income and Expenditure Survey; and the University of Port Elizabeth's Household Subsistence Level series, a nationally-conducted, market-based survey. South Africa. A nationally representative sample of the entire country - stratified by race, province, and urban and non-urban areas - consisting of 28 704 households. A household is defined to be in food poverty when monthly food spending is less than the cost of a nutritionally adequate very low-cost diet. The prevalence of food poverty in South Africa in 1995 was 43%. Food poverty rates were highest among households headed by Africans, followed by coloureds, Indians and whites. Higher food poverty rates were found with decreasing income, increasing household size, and among households in rural areas or those headed by females. The widespread nature of household food insecurity in South Africa is documented here. Prevalence rates by geographic and socio-economic breakdown provide the means for targeting of nutritional interventions and for monitoring progress in this field. The corroboration of these findings with both internal validation measures and external sources suggests that food poverty is a useful, objective measure of household food insecurity.

To review and synthesize studies on household food security in South Africa. Systematic mapping review of metrics (methodological review). Electronic databases, including EBSCOHost, Scopus and Web of Science, were searched for studies and reports on household food security in South Africa, reporting household food security published between 1999 and 2021. Searching, selecting and reporting were performed according to the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) statement. South African households. Forty-eight articles reporting on six national surveys (one repeated annually since 2002) and forty sub-national studies meeting the inclusion criteria were selected. Various metrics, with different recall periods and ways of categorizing food security levels, were identified. Surveys that used similar metrics showed that the percentage of South African households that have experienced food insecurity and hunger has decreased over the review period yet remains concerning. However, the multitude of metrics used to assess the different components and levels of food security limits the comparability of the results to evaluate the scope and scale of the problem. There is growing support for developing multi-variable approaches for food security research in sub-Saharan Africa. Future research should focus on finding the most appropriate combination of complementary metrics that would allow comparable data while holistically capturing food security and providing insight into the causes and consequences.