Dietary Patterns, Socio-Demographic Predictors Thereof, and Associations of Dietary Patterns with Stunting and Overweight/Obesity in 1–<10-Year-Old Children in Two Economically Active Provinces in South Africa

Author:

Senekal Marjanne1ORCID,Nel Johanna H.2ORCID,Eksteen Gabriel3,Steyn Nelia P.1ORCID

Affiliation:

1. Department of Human Biology, University of Cape Town, Cape Town 7925, South Africa

2. Department of Logistics, Stellenbosch University, Stellenbosch 7602, South Africa

3. Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, 3000 Leuven, Belgium

Abstract

A review of the literature showed that there were only a few studies that reported on the dietary patterns of children in South Africa. The aim of the present study was to characterise the dietary patterns of children aged 1–<10 years who were studied during the Provincial Dietary Intake Survey (PDIS) in 2018 and to investigate the socio-demographic predictors thereof, as well as the associations with stunting and overweight/obesity. Dietary pattern analysis was conducted within three age groups, namely 1–<3-year-olds, 3–<6-year-olds, and 6–<10-year-olds using iterated principal factor analysis with varimax rotation and 24 h recall data from the PDIS. The dietary patterns that emerged seem to be far from ideal. Energy-dense, nutrient-poor patterns were included in the top three strongest patterns in all three age groupings that were investigated. Few of the dietary patterns included vegetables other than starchy vegetables, fruit, dairy, quality proteins, and unrefined carbohydrates. There were no associations between any of the dietary patterns and stunting or overweight/obesity in the children. Key predictors of greater adherence to the mostly unhealthy patterns included indicators of a higher socio-economic status in all three age groups, as well as having an obese mother in the 6–<10-year-old group. Key predictors of greater adherence to the mostly healthy patterns were a higher wealth index and having an obese mother in the two younger groups, with no predictors in the 6–<10-year-old group. We conclude that the dietary patterns of children in the Western Cape contain strong elements of the energy-dense, nutrient-poor dietary patterns. Interventions to improve the dietary intake of children should be directed at both poorer and higher income communities.

Funder

International Life Sciences Institute of South Africa and their industry partners

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

Reference74 articles.

1. Ten Hove, H., Guo, X., Bakker, S., and Herens, M. (2023). Addressing Overweight and Obesity in LMICs in Rural Development and Food Systems: A Comprehensive Literature Review, Wageningen Centre for Development Innovation.

2. Shisana, O., Labadarios, D., Rehle, T., Simbayi, L., Zuma, K., Dhansay, A., Reddy, P., Parker, W., Hoosain, E., and Naidoo, P. (2014). The South African National Health and Nutrition Examination Survey, 2012: SANHANES-1: The Health and Nutritional Status of the Nation, HSRC Press. Available online: http://repository.hsrc.ac.za/handle/20.500.11910/2864.

3. Poverty, malnutrition, underdevelopment and cardiovascular disease: A South African perspective;Vorster;Cardiovasc. J. Afr.,2007

4. Dietary patterns and childhood obesity risk: A systematic review;Liberali;Child. Obes.,2020

5. Umer, A., Kelley, G.A., Cottrell, L.E., Giacobbi, P., Innes, K.E., and Lilly, C. (2017). Childhood obesity and adult cardiovascular disease risk factors: A systematic review with meta-analysis. BMC Public Health, 17.

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