Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies

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 in...

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Main Authors: Yusentha Balakrishna, Samuel Manda, Henry Mwambi, Averalda van Graan
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/13/9/3194
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spelling doaj-b25a883137824d32a112bad2f48a64fb2021-09-26T00:52:35ZengMDPI AGNutrients2072-66432021-09-01133194319410.3390/nu13093194Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and PoliciesYusentha Balakrishna0Samuel Manda1Henry Mwambi2Averalda van Graan3Biostatistics Research Unit, South African Medical Research Council, Durban 4001, South AfricaSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg 3201, South AfricaSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg 3201, South AfricaBiostatistics Research Unit, SAFOODS Division, South African Medical Research Council, Cape Town 8001, South AfricaFood 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<sub>12</sub>; (3) high animal protein, niacin, and vitamin B<sub>6</sub>; (4) high fatty acids and vitamin E; (5) high calcium, phosphorous and sodium; (6) low moisture and high available carbohydrate; (7) high cholesterol and vitamin D; and (8) low zinc and high vitamin C. Similar food patterns (FPs) were identified from a PCA on food items, yielding subgroups such as dark-green, leafy vegetables and, orange-coloured fruit and vegetables. One food pattern was associated with high sodium levels and contained bread, processed meat and seafood, canned vegetables, and sauces. The data-driven nutrient and food patterns found in this study were consistent with and support the South African food-based dietary guidelines and the national salt regulations.https://www.mdpi.com/2072-6643/13/9/3194food composition databasenutrient patternnutrient compositionprincipal component analysisfood-based dietary guidelinesalt intake
collection DOAJ
language English
format Article
sources DOAJ
author Yusentha Balakrishna
Samuel Manda
Henry Mwambi
Averalda van Graan
spellingShingle Yusentha Balakrishna
Samuel Manda
Henry Mwambi
Averalda van Graan
Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies
Nutrients
food composition database
nutrient pattern
nutrient composition
principal component analysis
food-based dietary guideline
salt intake
author_facet Yusentha Balakrishna
Samuel Manda
Henry Mwambi
Averalda van Graan
author_sort Yusentha Balakrishna
title Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies
title_short Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies
title_full Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies
title_fullStr Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies
title_full_unstemmed Identifying Nutrient Patterns in South African Foods to Support National Nutrition Guidelines and Policies
title_sort identifying nutrient patterns in south african foods to support national nutrition guidelines and policies
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2021-09-01
description 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<sub>12</sub>; (3) high animal protein, niacin, and vitamin B<sub>6</sub>; (4) high fatty acids and vitamin E; (5) high calcium, phosphorous and sodium; (6) low moisture and high available carbohydrate; (7) high cholesterol and vitamin D; and (8) low zinc and high vitamin C. Similar food patterns (FPs) were identified from a PCA on food items, yielding subgroups such as dark-green, leafy vegetables and, orange-coloured fruit and vegetables. One food pattern was associated with high sodium levels and contained bread, processed meat and seafood, canned vegetables, and sauces. The data-driven nutrient and food patterns found in this study were consistent with and support the South African food-based dietary guidelines and the national salt regulations.
topic food composition database
nutrient pattern
nutrient composition
principal component analysis
food-based dietary guideline
salt intake
url https://www.mdpi.com/2072-6643/13/9/3194
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