ArticleNutrients2021
Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies.
Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Nutritional Variation Among Foods Included in an Ecuadorian Food Composition Database Using Multivariate Analysis.Nutrients · 2026Article
- Ecological insights into the microbiology of food using metagenomics and its potential surveillance applications.Microbial genomics · 2025Article
- Impact of Dietary Patterns on Metabolic Syndrome in Young Adults: A Cross-Sectional Study.Nutrients · 2024Article
- Application of a Two-Dimensional Mapping-Based Visualization Technique: Nutrient-Value-Based Food Grouping.Nutrients · 2023Article
- Is There a Convergence between the Food Classification Adopted by Food-Based Dietary Guidelines and Food Science and Technology?Foods (Basel, Switzerland) · 2023Review
- Determining classes of food items for health requirements and nutrition guidelines using Gaussian mixture models.Frontiers in nutrition · 2023Article
- Review
- Food Composition and Dedicated Databases: Key Tools for Human Health and Public Nutrition.Nutrients · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food composition databases (FCDBs) provide the nutritional content of foods and are essential for developing nutrition guidance and effective intervention programs to improve nutrition of a population. In public and nutritional health research studies, FCDBs are used in the estimation of nutrient intake profiles at the population levels. However, such studies investigating nutrient co-occurrence and profile patterns within the African context are very rare. This study aimed to identify nutrient co-occurrence patterns within the South African FCDB (SAFCDB). A principal component analysis (PCA) was applied to 28 nutrients and 971 foods in the South African FCDB to determine compositionally similar food items. A second principal component analysis was applied to the food items for validation. Eight nutrient patterns (NPs) explaining 73.4% of the nutrient variation among foods were identified: (1) high magnesium and manganese; (2) high copper and vitamin B
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