In the above article, on p. 384, reference was made to Figure 2, but this "gure was not included. The "gure is below.
USDA's National Food and Nutrient Analysis Program: Food Sampling
β Scribed by P.R. Pehrsson; D.B. Haytowitz; J.M. Holden; C.R. Perry; D.G. Beckler
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 162 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0889-1575
No coin nor oath required. For personal study only.
β¦ Synopsis
The National Food and Nutrient Analysis Program (NFNAP) is designed to develop robust estimates of the mean nutrient content of important foods in the food supply and signi"cantly improve the quality of food composition data in the US Department of Agriculture's (USDA) National Nutrient Databank. The program objectives are: (1) evaluation of existing data; (2) identi"cation of Key Foods and nutrients for analysis; (3) development of nationally based sampling plans; (4) analysis of samples; and (5) compilation and calculation of representative food composition data. This paper describes our e!orts in development of the sampling plan (objective 3) and presents limited preliminary results. The sampling plan was based on a selfweighting strati"ed design. First, the U.S. was divided into four regions, then each region was further divided into three implicit strata from which generalized Consolidated Metropolitan Statistical Areas (gCMSAs) were selected. Rural and urban locations were selected within gCMSAs. Commercial supermarket lists were used to select 24 outlets for food pickups; speci"c brands were selected based on current market share data (pounds consumed). This populationbased approach can be applied in the development of other sampling programs for speci"c ethnic and regional foods. Sampling plans have been developed for margarine, folate-forti"ed foods (e.g. #ours, bread, and pasta), and a number of highly consumed mixed dishes (e.g. pizza and lasagna).
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The National Food and Nutrient Analysis Program (NFNAP) was designed in 1997 to develop robust and nationally representative estimates of the mean nutrient content of important foods in the food supply and significantly improve the quality of food composition data in the US Department of Agriculture
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