Structure and uses of USDA food composition databases

被引:6
|
作者
Stumbo, PJ [1 ]
机构
[1] Univ Iowa, Gen Clin Res Ctr, Iowa City, IA 52242 USA
关键词
databank; factual; diet and nutrition; database management systems;
D O I
10.1006/jfca.2001.0996
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Food composition databases are a basic tool to assess dietary status of a population and are therefore critical for nutrition policy development. The United States Department of Agriculture (USDA) Agricultural Research Service develops and disseminates widely used food composition databases. The two largest are the Standard Reference (SR) and Survey databases. These two databases have a similar number of foods (6000-7000) but different structures and uses. This paper describes these two databases from the user's perspective. The SR database includes foods used in the United States for which up-to-date nutrient data are available. Foods are listed unprepared (raw) and by the most common preparation methods. The Survey database, used with national surveys of food intake, describes foods in consumer terms. The SR database lists approximately 77 food components. but may not have values for components in all foods. The Survey database lists fewer components (about 50) but has values for these components for every food on the database. Many food composition databases are derived from the SR and Survey databases, They form the backbone for databases on popular software programs and in printed references and are used around the world in creating databases to characterize local food intake. (C) 2001 Academic Press.
引用
收藏
页码:323 / 328
页数:6
相关论文
共 8 条
  • [1] Protein Structure Databases
    Laskowski, Roman A.
    MOLECULAR BIOTECHNOLOGY, 2011, 48 (02) : 183 - 198
  • [2] Comparative analysis of membrane protein structure databases
    Shimizu, Kentaro
    Cao, Wei
    Saad, Gull
    Shoji, Michiru
    Terada, Tohru
    BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES, 2018, 1860 (05): : 1077 - 1091
  • [3] Using the structure of B+-trees for enhancing logging mechanisms of databases
    Kieseberg, Peter
    Schrittwieser, Sebastian
    Morgan, Lorcan
    Mulazzani, Martin
    Huber, Markus
    Weippl, Edgar
    INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS, 2013, 9 (01) : 53 - 68
  • [4] FHIN: an efficient storage structure and access method for object-oriented databases
    Gorla, N
    Liu, CT
    INFORMATION AND SOFTWARE TECHNOLOGY, 1999, 41 (10) : 673 - 688
  • [5] Graph Data Warehouse: Steps to Integrating Graph Databases into the Traditional Conceptual Structure of a Data Warehouse
    Liu, Yunkai
    Vitolo, Theresa M.
    2013 IEEE INTERNATIONAL CONGRESS ON BIG DATA, 2013, : 433 - 434
  • [6] Structure Elucidation of Transmembrane Proteins using Public-Available Databases and Experimental Data on Competitive Inhibition
    Choudhury, Amrita Roy
    Zuperl, Spela
    Passamonti, Sabina
    Novic, Marjana
    ACTA CHIMICA SLOVENICA, 2011, 58 (03) : 385 - 392
  • [7] Comparison of the Micro-Nutrica Nutritional Analysis program and the Russian Food Composition Database using data from the Baltic Nutrition Surveys
    S Vaask
    J Pomerleau
    I Pudule
    D Grinberga
    A Abaravicius
    A Robertson
    M McKee
    European Journal of Clinical Nutrition, 2004, 58 : 573 - 579
  • [8] Comparison of the micro-nutrica nutritional analysis program and the Russian food composition database using data from the Baltic nutrition surveys
    Vaask, S
    Pomerleau, J
    Pudule, I
    Grinberga, D
    Abaravicius, A
    Robertson, A
    McKee, M
    EUROPEAN JOURNAL OF CLINICAL NUTRITION, 2004, 58 (04) : 573 - 579