Comparison of Malnutrition Indicators and Associated Socio-Demographic Factors among Children in Rural and Urban Public Primary Schools in South Africa

Author:

Hlahla Mosebudi Olga1,Kunene Lindy Agatha1,Mphekgwana Peter Modupi2ORCID,Madiba Sphiwe3ORCID,Monyeki Kotsedi Dan4,Modjadji Perpetua156ORCID

Affiliation:

1. Department of Public Health, School of Health Care Sciences, Sefako Makgatho Health Sciences University, 1 Molotlegi Street, Ga-Rankuwa, Pretoria 0208, South Africa

2. Research Administration and Development, University of Limpopo, Polokwane 0700, South Africa

3. Faculty of Health Sciences, University of Limpopo, Polokwane 0700, South Africa

4. Department of Physiology and Environmental Health, University of Limpopo, Polokwane 0700, South Africa

5. Non-Communicable Disease Research Unit, South African Medical Research Council, Cape Town 7505, South Africa

6. Department of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Roodepoort, Johannesburg 1709, South Africa

Abstract

Most children in South Africa attending public schools are predisposed to malnutrition due to poor infrastructure and social inequality. This is despite the implementation of the National School Nutrition Programme to address barriers to learning associated with hunger and malnutrition and the National Development Plan to reduce child malnutrition through provision of social grants. In view of this, we compared malnutrition indicators and associated socio-demographic factors among children in rural Mpumalanga and urban Gauteng in South African public primary schools selected using a multistage cluster random sampling. A validated researcher-administered questionnaire was used to collect socio-demographic data of caregivers, along with primary school children data collected on age, sex, learning grade, and anthropometric measures. Malnutrition indicators, which are stunting (low height-for-age z-scores), underweight (low weight-for-age z-scores), thinness (low body-mass-index-for-age z-scores), and overweight/obesity (high body mass index) were computed using WHO Anthro Plus 1.0.4 and data were analyzed using Stata 18. A total of 903 children (rural = 390 and urban = 513) with a mean age of 10 ± 2 years in the foundation phase (learning grades one to three) and the intermediate learning phase (learning grades four to seven) participated with their caregivers (mean age: 39 ± 8 years). Significant levels of poor socio-demographic status were observed among caregivers living in the rural setting compared to in the urban setting. Overall, thinness (18%), stunting (12%), underweight (10%), and overweight/obesity (24%) were observed among school children. Children in the rural schools had a significantly higher prevalence of stunting (20% vs. 3%; p < 0.0001), underweight (17% vs. 2%; p < 0.0001) and thinness (28% vs. 7%; p < 0.001) than their urban counterparts. In the urban, the odds of stunting, underweight and thinness were less among school children, while overweight/obesity was twice as likely in the urban setting. The multivariate final model showed lower odds of underweight [adjusted odds ratio (AOR) = 0.16; 95% confidence interval (CI): 0.06–0.42] and stunting [AOR = 0.33; 95% CI: 0.13–0.87] in the urban compared to the rural schools. The association of stunting with sex [AOR =0.53; 95% CI: 0.30–0.94] and the intermediate learning phase [AOR = 7.87; 95% CI: 4.48–13.82] was observed in the rural setting, while thinness was associated with living in households with an income of USD 52.51 to USD 262.60/month [AOR = 2.89; 95% CI: 1.01–8.24] and receiving the child social grant [AOR = 2.49; 0.90–6.86] in the urban setting. Overweight/obesity was associated with living in a household with an income of USD 52.51 to USD 262.60/month [AOR = 1.80; 95% CI: 1.02–3.10]. The findings suggest nutritional intervention approaches that are accustomed to the context of settings to effectively tackle malnutrition.

Publisher

MDPI AG

Subject

Pediatrics, Perinatology and Child Health

Reference89 articles.

1. Maternal and child undernutrition and overweight in low-income and middle-income countries;Black;Lancet,2013

2. Modjadji, P., and Madiba, S. (2019). The double burden of malnutrition in a rural health and demographic surveillance system site in South Africa: A study of primary schoolchildren and their mothers. BMC Public Health, 19.

3. LBD Double Burden of Malnutrition Collaborators (2020). Mapping local patterns of childhood overweight and wasting in low-and middle-income countries between 2000 and 2017. Nat. Med., 26, 750–759.

4. Modjadji, P., and Madiba, S. (2019). Childhood Undernutrition and Its Predictors in a Rural Health and Demographic Surveillance System Site in South Africa. Int. J. Environ. Res. Public Health, 16.

5. WHO (2023, May 10). Malnutrition. Available online: https://www.who.int/news-room/fact-sheets/detail/malnutrition.

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