title: Adaptation of international nutrition databases and data-entry system tools to a specific population.
abstract: OBJECTIVE
  To develop a nutritional dietary intake database based on available reliable international nutritional databases adapted to the local needs of a specific population.
  
  
  METHODS
  The Negev Nutritional Study (NNS) is a survey of a random sample of the Negev population regarding their dietary intake using 24-hour dietary recalls. A nutritional database for the Israeli population was developed based on adaptation and modification of the US Department of Agriculture's database. A data-entry system was developed based on the logic of the US Food Information Analysis System. The system was designed as bilingual (English and Hebrew). Local foods and recipes were collected during the NNS, which included 1465 24-hour diet interviews.
  
  
  RESULTS
  During the course of the NNS, 383 basic Israeli recipes were constructed. In total 1362 Israeli products were added to the database, and each was given a code, specific gravity and portion size. Most of the added products were cereals and grains and dairy products. The added recipes were collected from the interviewees in the NNS and from the most popular cookbooks.
  
  
  CONCLUSIONS
  This paper describes the process undertaken to develop an Israeli food composition database as well as the data-entry system. This knowledge may aid other research groups in developing a computerised, nation-specific nutritional database and data-entry system adapted to their own specific local needs.
authors.affiliation: S Daniel Abraham International Center for Health and Nutrition, Ben-Gurion University of the Negev, PO Box 653, 84105, Israel. irish@bgumail.bgu.ac.il
authors.forename: Iris
authors.initials: I
authors.lastname: Shai
authors.forename: Hillel
authors.initials: H
authors.lastname: Vardi
authors.forename: Danit R
authors.initials: DR
authors.lastname: Shahar
authors.forename: Ayelet B
authors.initials: AB
authors.lastname: Azrad
authors.forename: Drora
authors.initials: D
authors.lastname: Fraser
mesh_terms: D016208:Databases, Factual; D005247:Feeding Behavior; D005504:Food Analysis; D006801:Humans; D007256:Information Systems; D007557:Israel; D007802:Language; D011939:Mental Recall; D009749:Nutrition Surveys; D011786:Quality Control; D014481:United States; D016885:United States Department of Agriculture