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Cited by 712Child Nutrition and Water AccessNutritional Studies and DietNutrition, Health and Food Behavior

The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.

Food variety and dietary diversity scores in children: are they good indicators of dietary adequacy?

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Steyn, NP, Nel, JH, Nantel, G, Kennedy, G, Labadarios, D·2006·Public Health Nutrition
DOI 10.1079/phn2005912
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Abstract

OBJECTIVE: To assess whether a food variety score (FVS) and/or a dietary diversity score (DDS) are good indicators of nutrient adequacy of the diet of South African children. METHODS: Secondary data analyses were undertaken with nationally representative data of 1-8-year-old children (n = 2200) studied in the National Food Consumption Study in 1999. An average FVS (mean number of different food items consumed from all possible items eaten) and DDS (mean number of food groups out of nine possible groups) were calculated. A nutrient adequacy ratio (NAR) is the ratio of a subject's nutrient intake to the estimated average requirement calculated using the Food and Agriculture Organization/World Health Organization (2002) recommended nutrient intakes for children. The mean adequacy ratio (MAR) was calculated as the sum of NARs for all evaluated nutrients divided by the number of nutrients evaluated, expressed as a percentage. MAR was used as a composite indicator for micronutrient adequacy. Pearson correlation coefficients between FVS, DDS and MAR were calculated and also evaluated for sensitivity and specificity, with MAR taken as the ideal standard of adequate intake. The relationships between MAR and DDS and between anthropometric Z-scores and DDS were also evaluated. RESULTS: The children had a mean FVS of 5.5 (standard deviation (SD) 2.5) and a mean DDS of 3.6 (SD 1.4). The mean MAR (ideal = 100%) was 50%, and was lowest (45%) in the 7-8-year-old group. The items with the highest frequency of consumption were from the cereal, roots and tuber group (99.6%), followed by the 'other group' (87.6%) comprising items such as tea, sugar, jam and sweets. The dairy group was consumed by 55.8%, meat group by 54.1%, fats by 38.9%, other vegetables by 30.8%, vitamin-A-rich by 23.8%, other fruit by 22%, legumes and nuts by 19.7% and eggs by 13.3%. There was a high correlation between MAR and both FVS (r = 0.726; P < 0.0001) and DDS (r = 0.657; P < 0.0001), indicating that either FVS or DDS can be used as an indicator of the micronutrient adequacy of the diet. Furthermore, MAR, DDS and FVS showed significant correlations with height-for-age and weight-for-age Z-scores, indicating a strong relationship between dietary diversity and indicators of child growth. A DDS of 4 and an FVS of 6 were shown to be the best indicators of MAR less than 50%, since they provided the best sensitivity and specificity. CONCLUSION: Either FVS or DDS can be used as a simple and quick indicator of the micronutrient adequacy of the diet.

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  1. Espeut, Knowledge, Practices and Coverage Survey 2000+ Field Guide
  2. 1997, Preventing Micronutrient Malnutrition: A Guide to Food-based Approaches
  3. 2002, Human Vitamin and Mineral Requirements
  4. Dewey, 2004, Developing and Validating Indicators of Feeding Frequency and Nutrient Density of Complementary Foods for the Breastfed Child in Developing Countries
  5. 2003, Guiding Principles for Complementary Feeding of the Breastfed Child
  6. 2002, World Health Report 2002

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Metadata

Authors
Steyn, N., Nel, J., Nantel, G., Kennedy, G., & Labadarios, D.
Affiliations
  • South African Medical Research Council (ZA)
  • Food and Agriculture Organization of the United Nations (IT)
  • Stellenbosch University (ZA)
Corresponding author
Steyn, NP
ORCID
Venue
Public Health Nutrition
Publisher
Cambridge University Press (CUP)
Published
2006-08
Volume
9
Issue
5
Pages
644-650
ISSN
  • 1368-9800 (ISSN-L)
  • 1475-2727
DOI
10.1079/phn2005912
OpenAlex
W2164956492
Cited by
712
References
23
Citations by year
2026: 22 · 2025: 25 · 2024: 25 · 2023: 42 · 2022: 52 · 2021: 65 · 2020: 70 · 2019: 48 · 2018: 51 · 2017: 46 · 2016: 53 · 2015: 41 · 2014: 38 · 2013: 38 · 2012: 25
FWCI
9.48
Type
journal article
Language
en
Open access
Licence
www.cambridge.org/core/terms (unspecified, 154 d)
Locations
  • Public Health Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Child Nutrition and Water Access
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
dietary diversity score, nutritional adequacy, micronutrient adequacy, nutrient adequacy ratio, mean adequacy ratio, children's diet, South African children, anthropometric z-scores, food consumption patterns, cereal consumption, dairy consumption, vitamin A-rich foods, food groups
MeSH terms
Anthropometry, Child, Child Nutritional Physiological Phenomena, Child, Preschool, Diet, Diet Surveys, Eating, Female, Food, Humans, Infant, Male, Nutritional Requirements, Nutritive Value, South Africa, Age Distribution, Micronutrients

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