Nutrient Data Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
Dietary Supplement Ingredient Database (DSID)
 

Research Project: USDA NATIONAL NUTRIENT DATABANK FOR FOOD COMPOSITION

Location: Nutrient Data

Title: INFOODS guidelines for food matching

Authors
item Stadlmayr, Barbara -
item Wijesinha-Bettoni, Ramani -
item Haytowitz, David
item Rittenschober, Doris -
item Cunningham, Judy -
item Sobolewski, Renee -
item Eisenwagen, Sandra -
item Baines, Janis -
item Probst, Yasmine -
item Fitt, Emily -
item Charrondiere, Ruth -

Submitted to: Food and Agriculture Organization of the United Nations Technical Workshop Report
Publication Type: Research Technical Update
Publication Acceptance Date: July 1, 2011
Publication Date: July 1, 2011
Citation: Stadlmayr, B., Wijesinha-Bettoni, R., Haytowitz, D.B., Rittenschober, D., Cunningham, J., Sobolewski, R., Eisenwagen, S., Baines, J., Probst, Y., Fitt, E., Charrondiere, R. 2011. INFOODS guidelines for food matching. Food and Agriculture Organization of the United Nations Technical Workshop Report. www.fao.org/infoods/INFOODSGuidelinesforFoodMatchingfinal.pdf.

Interpretive Summary: It is necessary to match food consumption data with food composition data in order to calculate estimates of nutrient intakes (for nutrition purposes) or of dietary exposure (for food safety purposes). Food matching procedures are critical to obtaining high quality estimates. INFOODS has developed these guidelines for a more harmonized approach of food matching while pointing out critical steps and information needed in order to achieve the most appropriate food matches. These guidelines are intended to assist in selecting the most appropriate foods from food composition tables/databases (FCT/FCDB) and other sources when matching foods reported in food consumption surveys (at individual, household and national level) or food supply (e.g. FAOSTAT) data. Procedures for identifying the highest quality food match using a stepwise approach are described. Considerations such as processing and preparation of the food, biodiversity, color, maturity, domestication, part/source of food, refuse/edible portion, and fortification/enrichment must be identified. Selected examples of potential problems are included and possible solutions for food matching provided. These guidelines will assist users in making the best possible matches when linking food consumption data with food composition data, leading to higher quality estimates of nutrient intake and dietary exposure.

Technical Abstract: It is necessary to match food consumption data with food composition data in order to calculate estimates of nutrient intakes and dietary exposure. This can be done manually or through an automated system. As food matching procedures are key to obtaining high quality estimations of nutrient intakes (for nutrition purposes) or of dietary exposure (for food safety purposes), INFOODS has developed these guidelines to harmonize the approach of food matching while pointing out critical steps and information needed in order to achieve the most appropriate food matches. These guidelines are intended to assist in selecting the most appropriate foods in food composition tables/databases (FCT/FCDB) and other sources to match foods reported in food consumption surveys (at individual, household, and national level) or for food supply data (e.g. FAOSTAT). Procedures to identify the highest quality food match using a stepwise approach are described. Considerations such as processing and preparation of the food, biodiversity, color, maturity, domestication, part/source of food, refuse/edible portion, and fortification/enrichment are needed to determine the nutrient values of food. Selected examples of potential problems are included and possible solutions for food matching provided. These guidelines will assist users in making the best possible matches when linking food consumption data with food composition data, leading to higher quality estimates of nutrient intake and dietary exposure.

   

 
Project Team
Pehrsson, Pamela
Ahuja, Jaspreet
Roseland, Janet
Milner, John
Haytowitz, David
 
Publications
   Publications
 
Related National Programs
  Human Nutrition (107)
 
Related Projects
   NUTRIENT COMPOSITION OF MEAT AND MEAT PRODUCTS
   CHOLINE CONTENT OF COMMONLY EATEN FOODS
   MONITORING SODIUM AND SELECTED NUTRIENTS IN U.S. FOODS
   NATIONAL FOOD AND NUTRIENT ANALYSIS PROGRAM
   VITAMIN K ANALYSIS OF FOOD AND DIETARY SUPPLEMENTS
   IMPROVING THE ACCURACY OF BEEF NUTRIENT DATA IN THE USDA NATIONAL NUTRIENT DATABASE FOR STANDARD REFERENCE - PHASE VI
   DEVELOPMENT OF DATABASES ON THE BIOACTIVE COMPONENTS OF FOOD IN THE U.S.
   MONITORING THE COMPOSITION OF FOODS AND DIETARY SUPPLEMENTS IN THE UNITED STATES
   COORDINATION OF FOOD SAMPLE PREPARATION AND ANALYTICAL QUALITY ASSURANCE FOR USDA CONTRACTS
   USE OF INFORMATION TECHNOLOGIES FOR DIETARY COMPOSITION AND SURVEY EVALUATIONS
   NATIONAL FOOD AND NUTRIENT ANALYSIS PROGRAM
   COORDINATION OF FOOD SAMPLE PREPARATION AND ANALYTICAL QUALITY ASSURANCE FOR USDA CONTRACTS (CDC)
 
 
Last Modified: 05/21/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House