Aim: The aim of this study was the development of a specific food composition database of Peruvian Amazonia with which value the dietary intake of the population.
Methodology: An observational surveying study has been performed at which 303 individuals aged 3-83 years were selected. To compiling a register of basic food reminders of 24 hours (R24) and frequency foods consumption questionnaires (FFQ) over a four-year period were collected, and were complemented by the National Household Budget Survey. The database was formulated on the basis of guidelines described by Greenfiel and Southgate and those proposed by INFOODS.
Results: A food composition database was developed using the indirect method with 135 foods provided information on the content in energy, macronutrients, sodium, potassium, phosphorus, calcium, iron, thiamine, riboflavin, folic acid, B12, B6, C, A y D. The references used were those of composition of Peruvian foods, Central America's, McCance and Widdowson's and USDA's tables, among others.
Conclusions: The database development was indispensable for the dietary model valuation in this community, because the Composition of Peruvian Foods Tables do not provide sufficiently complete information on nutrient composition of foods the most consumed in Amazonia.