Assessing the quality of anthropometric data : background and illustrated guidelines for survey managers
Kostermans, Kees
As systematic and random errors in anthropometry can have a great impact on the prevalence estimates of malnutrition, strict quality control of the fieldwork of anthropometry in household surveys is very important. This paper defines and provides background information on sensitivity, specificity and positive predictive value of indicators in general. The most frequently used anthropometric nutritional indicators -- weight-for-age, height-for-age, weight-for-height and body mass index - are discussed in detail.
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