FHI 360 Global Health, Population, and Nutrition Group
1825 Connecticut Avenue, NW
Washington DC 20009 / USA
This calculator is intended as a simple example of the kind of calculations
performed using PROFILES spreadsheets. This calculator was chosen because it
is recent, simple (requires relatively few inputs) and addresses problems that
are common. The PROFILES spreadsheet models are typically more complex,
involving projections of the functional consequences of malnutrition each
year over a longer period (usually 5-10 years) and involving a comparison of
"do nothing" and "improved" scenarios.
Pelletier and Frongillo (2003) used longitudinal data between 1966 and 1996
from 59 countries to quantify the effect of improvements in child nutritional
status (as measured by weight-for-age) on child survival. The model used here
is based on a method proposed in Appendix 3 of Pelletier and Frongillo (2003).
Reference: Pelletier DL. - Frongillo EA. Changes in child survival are
strongly associated with changes in malnutrition in developing countries.
Journal of Nutrition 133:107-119, 2003. Click for
This early work was recently updated, using eight data sets from low-income countries
(Ghana, Guinea Bissau, Senegal, the Philippines, Nepal, Pakistan, India, and Bangladesh),
analyzed in relation to the new WHO (2006) growth reference standards, including the mortality
risks attributable to underweight, stunting and wasting. Reference: Black RE, Allen LH, Bhutta ZA,
et al for the Maternal and Child Undernutrition Study Group.
Maternal and Child Undernutrition: Global and Regional Exposures and Health Consequences. Lancet 371:243-260, 2008.
Boxes with yellow borders are
to be filled in by the user. Click on the box and enter data that is
representative for the country of your choice. Then click the
Get Results button to see the results. in the boxes with
The results for the country of choice are the following:
1. Predicted under five mortality rate per thousand births at the predicted or target level of malnutrition.
per thousand births
2. Lives saved per year due to expected reduction in underweight.
For detailed information about the calculators, click here