Child and adolescent food insecurity in South Africa: a household-level analysis of hunger

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 sociodemographic, 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.

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Publication Details

Journal
Human Science Research Council SA
Published
2026-05-22
DOI
https://doi.org/10.14749/32364303
Primary Topic
Food Security and Health in Diverse Populations
Type
article
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article

Child and adolescent food insecurity in South Africa: a household-level analysis of hunger

Human Sciences Research Council
Human Science Research Council SA
Food Security and Health in Diverse Populations
article

Child and adolescent food insecurity in South Africa: a household-level analysis of hunger

Human Sciences Research Council
article en

Abstract

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 sociodemographic, 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.

Human Science Research Council SA
Zero hunger
Openalex Percentile: Top 4%
Food Security and Health in Diverse Populations
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