Which dietary diversity indicator is best to assess micronutrient adequacy in children 1 to 9 y?

OBJECTIVES

The aim of this study was to determine the best dietary diversity indicator to measure dietary diversity and micronutrient adequacy in children.

METHODS

A national representative cross-sectional survey of children ages 1 to 9 y (N = 2,200) was undertaken in all ethnic groups in South Africa. A 24-h recall was done with the mother or caregiver of each child. A dietary diversity score (DDS), the number of food groups consumed at least once in a period of 24 h, was calculated for each child in accordance with 6-, 9-, 13-, and 21-food group (G) indicators and compared with a mean adequacy ratio (MAR). The nutrient adequacy ratio (NAR) was calculated for 11 micronutrients by comparing the distributions of estimated intakes with the Estimated Average Requirements for that micronutrient. The MAR was the average of all NARs. Correlations were done between MAR and DDS and sensitivity and specificity calculated for each group indicator.

RESULTS

Pearson's correlations between food group indicators and MAR indicate that r values were all highly significant (P < 0.0001). There were no consistent or large differences found between the different group indicators although G13 and G21 appeared to be marginally better. Sensitivity and specificity values in the current study lay between DDS of 3 and 5, suggesting one of these as the best indication of (low) micronutrient adequacy.

CONCLUSIONS

Overall results seem to indicate that any of the four G indicators can be used in dietary assessment studies on children, with G13 and G21 being marginally better. A cut-off DDS of 4 and 5, respectively, appear best.

Food security in South Africa: a review of national surveys

OBJECTIVE

To assess the status of food security--i.e., access to food, food availability and food utilization--in South Africa.

METHODS

A systematic search of national surveys that used the Community Childhood Hunger Identification Project (CCHIP) index to measure food security in South Africa over a period of 10 years (1999-2008) was conducted. Anthropometric data for children aged 1-9 years were used to assess food utilization, and household food inventory data were used to assess food availability.

FINDINGS

Only three national surveys had used the CCHIP index, namely, the 1999 and 2005 National Food Consumption Surveys (NFCS) and the 2008 South African Social Attitudes Survey. These surveys showed a relatively large decrease in food insecurity between 1999 and 2008. However, the consistent emerging trend indicated that in poorer households women were either feeding their children a poor diet or skipping meals so their children could eat. In terms of food access and availability, the 1999 NFCS showed that households that enjoyed food security consumed an average of 16 different food items over 24 hours, whereas poorer households spent less money on food and consumed fewer than 8 different food items. Moreover, children had low mean scores for dietary diversity (3.58; standard deviation, SD: ± 1.37) and dietary variety (5.52; SD: ± 2.54) scores. In terms of food utilization, the NFCS showed that stunting in children decreased from 21.6% in 1999 to 18% in 2005.

CONCLUSION

The South African government must implement measures to improve the undesirably high level of food insecurity in poorer households.