Chapter 2 Body Mass Index (BMI) is becoming more accepted as the best anthropometric way of identifying changes in the wellbeing of adults. This index is calculated by dividing weight (W), measured in kilos, by height (H), squared, measured in metres: W BMI =- Depending on the degree of undernutrition or obesity of the subject, the BMI can take values between 15 and 40. The following classification has been proposed: below 16 severe chronic malnutrition 16-17.5 chronic malnutrition with wasting 17.5-18.5 chronic malnutrition, underweight 18.5-25 normal 25-30 overweight over 30 obese If information on adult BMIs were to be taken as a matter of course, then it would be possible to develop a composite index of household health which included all members of the household, rather than categorising households according to child health alone. The choice of anthropometric indicator depends on a number of factors, including cost and ease of collection, but also the purpose for which they will be used. Anthropometric indicators are often used for screening children in emergencies, to establish eligibility for relief programmes. The indicator of choice here, arm circumference or weight for height, will be different to that appropriate for assessment of long-term food security problems at a national level. 3.2 Interpretation of nutritional indicators in food policy analysis There are three major problems in the use of anthropometric indicators for food policy analysts: to determine whether the problem indicated is actually a food security problem, as opposed to, for example, a public health problem; to determine how significant the problem indicated by nutritional information is; and to determine what an appropriate policy response might be. As has been mentioned before, a nutrition survey can indicate severe nutrition problems which do not arise from inadequate availability or access to food. Rather the problem may be one of chronic gastro-intestinal disease, resulting from inadequate sanitation, or a problem of a disease such as malaria interacting with mild malnutrition to result in severe nutritional problems. One way of pinning down the problem further is to examine a combination of nutritional and food consumption data, particularly food expenditure rather than intake, to identify whether a problem of access to food exists. Health indicators may also clarify the likely causes of poor nutritional status. No one data source will give a clear picture of the sources of the problem. A picture has to be built up using whatever information exists. - 54-