Drivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5

dc.contributor.authorAlaba, Olufunke A
dc.contributor.authorHongoro, Charles
dc.contributor.authorThulare, Aquina
dc.contributor.authorLukwa, Akim T
dc.date.accessioned2022-11-22T09:12:34Z
dc.date.available2022-11-22T09:12:34Z
dc.date.issued2022-11-16
dc.date.updated2022-11-20T04:16:40Z
dc.description.abstractBackground Child hunger has long-term and short-term consequences, as starving children are at risk of many forms of malnutrition, including wasting, stunting, obesity and micronutrient deficiencies. The purpose of this paper is to show that the child hunger and socio-economic inequality in South Africa increased during her COVID-19 pandemic due to various lockdown regulations that have affected the economic status of the population. Methods This paper uses the National Income Dynamics Study-Coronavirus Rapid Mobile Survey (NIDS-CRAM WAVES 1–5) collected in South Africa during the intense COVID-19 pandemic of 2020 to assess the socioeconomic impacts of child hunger rated inequalities. First, child hunger was determined by a composite index calculated by the authors. Descriptive statistics were then shown for the investigated variables in a multiple logistic regression model to identify significant risk factors of child hunger. Additionally, the decomposable Erreygers' concentration index was used to measure socioeconomic inequalities on child hunger in South Africa during the Covid-19 pandemic. Results The overall burden of child hunger rates varied among the five waves (1–5). With proportions of adult respondents indicated that a child had gone hungry in the past 7 days: wave 1 (19.00%), wave 2 (13.76%), wave 3 (18.60%), wave 4 (15, 68%), wave 5 (15.30%). Child hunger burden was highest in the first wave and lowest in the second wave. The hunger burden was highest among children living in urban areas than among children living in rural areas. Access to electricity, access to water, respondent education, respondent gender, household size, and respondent age were significant determinants of adult reported child hunger. All the concentrated indices of the adult reported child hunger across households were negative in waves 1–5, suggesting that children from poor households were hungry. The intensity of the pro-poor inequalities also increased during the study period. To better understand what drove socioeconomic inequalites, in this study we analyzed the decomposed Erreygers Normalized Concentration Indices (ENCI). Across all five waves, results showed that race, socioeconomic status and type of housing were important factors in determining the burden of hunger among children in South Africa. Conclusion This study described the burden of adult reported child hunger and associated socioeconomic inequalities during the Covid-19 pandemic. The increasing prevalence of adult reported child hunger, especially among urban children, and the observed poverty inequality necessitate multisectoral pandemic shock interventions now and in the future, especially for urban households.en_US
dc.identifier.apacitationAlaba, O. A., Hongoro, C., Thulare, A., & Lukwa, A. T. (2022). Drivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5. <i>BMC Public Health</i>, 22(1), 2092. http://hdl.handle.net/11427/36907en_ZA
dc.identifier.chicagocitationAlaba, Olufunke A, Charles Hongoro, Aquina Thulare, and Akim T Lukwa "Drivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5." <i>BMC Public Health</i> 22, 1. (2022): 2092. http://hdl.handle.net/11427/36907en_ZA
dc.identifier.citationAlaba, O.A., Hongoro, C., Thulare, A. & Lukwa, A.T. 2022. Drivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5. <i>BMC Public Health.</i> 22(1):2092. http://hdl.handle.net/11427/36907en_ZA
dc.identifier.ris TY - Journal Article AU - Alaba, Olufunke A AU - Hongoro, Charles AU - Thulare, Aquina AU - Lukwa, Akim T AB - Background Child hunger has long-term and short-term consequences, as starving children are at risk of many forms of malnutrition, including wasting, stunting, obesity and micronutrient deficiencies. The purpose of this paper is to show that the child hunger and socio-economic inequality in South Africa increased during her COVID-19 pandemic due to various lockdown regulations that have affected the economic status of the population. Methods This paper uses the National Income Dynamics Study-Coronavirus Rapid Mobile Survey (NIDS-CRAM WAVES 1–5) collected in South Africa during the intense COVID-19 pandemic of 2020 to assess the socioeconomic impacts of child hunger rated inequalities. First, child hunger was determined by a composite index calculated by the authors. Descriptive statistics were then shown for the investigated variables in a multiple logistic regression model to identify significant risk factors of child hunger. Additionally, the decomposable Erreygers' concentration index was used to measure socioeconomic inequalities on child hunger in South Africa during the Covid-19 pandemic. Results The overall burden of child hunger rates varied among the five waves (1–5). With proportions of adult respondents indicated that a child had gone hungry in the past 7 days: wave 1 (19.00%), wave 2 (13.76%), wave 3 (18.60%), wave 4 (15, 68%), wave 5 (15.30%). Child hunger burden was highest in the first wave and lowest in the second wave. The hunger burden was highest among children living in urban areas than among children living in rural areas. Access to electricity, access to water, respondent education, respondent gender, household size, and respondent age were significant determinants of adult reported child hunger. All the concentrated indices of the adult reported child hunger across households were negative in waves 1–5, suggesting that children from poor households were hungry. The intensity of the pro-poor inequalities also increased during the study period. To better understand what drove socioeconomic inequalites, in this study we analyzed the decomposed Erreygers Normalized Concentration Indices (ENCI). Across all five waves, results showed that race, socioeconomic status and type of housing were important factors in determining the burden of hunger among children in South Africa. Conclusion This study described the burden of adult reported child hunger and associated socioeconomic inequalities during the Covid-19 pandemic. The increasing prevalence of adult reported child hunger, especially among urban children, and the observed poverty inequality necessitate multisectoral pandemic shock interventions now and in the future, especially for urban households. DA - 2022-11-16 DB - OpenUCT DP - University of Cape Town IS - 1 J1 - BMC Public Health KW - Child hunger KW - Food (in)security KW - Covid-19 LK - https://open.uct.ac.za PY - 2022 T1 - Drivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5 TI - Drivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5 UR - http://hdl.handle.net/11427/36907 ER - en_ZA
dc.identifier.urihttps://doi.org/10.1186/s12889-022-14482-1
dc.identifier.urihttp://hdl.handle.net/11427/36907
dc.identifier.vancouvercitationAlaba OA, Hongoro C, Thulare A, Lukwa AT. Drivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5. BMC Public Health. 2022;22(1):2092. http://hdl.handle.net/11427/36907.en_ZA
dc.language.isoenen_US
dc.language.rfc3066en
dc.publisher.departmentDepartment of Public Health and Family Medicineen_US
dc.publisher.facultyFaculty of Health Sciencesen_US
dc.rights.holderThe Author(s)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBMC Public Healthen_US
dc.source.journalissue1en_US
dc.source.journalvolume22en_US
dc.source.pagination2092en_US
dc.subjectChild hungeren_US
dc.subjectFood (in)securityen_US
dc.subjectCovid-19en_US
dc.titleDrivers of socioeconomic inequalities of child hunger during COVID-19 in South Africa: evidence from NIDS-CRAM Waves 1–5en_US
dc.typeJournal Articleen_US
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