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Adaptation of international nutrition databases and data-entry system tools to a specific population

Published online by Cambridge University Press:  02 January 2007

Iris Shai ,
Hillel Vardi ,
Danit R Shahar ,
Ayelet B Azrad  and
Drora Fraser
Iris Shai*
Affiliation:
S Daniel Abraham International Center for Health and Nutrition, Ben-Gurion University of the Negev, PO Box 653, Beer-Sheva 84105, Israel Epidemiology and Health Services Evaluation Department, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel The Nutrition Department, Harvard School of Public Health, MA, USA
Hillel Vardi
Affiliation:
Epidemiology and Health Services Evaluation Department, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Danit R Shahar
Affiliation:
S Daniel Abraham International Center for Health and Nutrition, Ben-Gurion University of the Negev, PO Box 653, Beer-Sheva 84105, Israel Epidemiology and Health Services Evaluation Department, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Ayelet B Azrad
Affiliation:
S Daniel Abraham International Center for Health and Nutrition, Ben-Gurion University of the Negev, PO Box 653, Beer-Sheva 84105, Israel Epidemiology and Health Services Evaluation Department, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Drora Fraser
Affiliation:
S Daniel Abraham International Center for Health and Nutrition, Ben-Gurion University of the Negev, PO Box 653, Beer-Sheva 84105, Israel Epidemiology and Health Services Evaluation Department, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
*
*Corresponding author: Email irish@bgumail.bgu.ac.il or ishai@hsph.harvard.edu
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Abstract

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Objective:

To develop a nutritional dietary intake database based on available reliable international nutritional databases adapted to the local needs of a specific population.

Design:

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.

Keywords

Nutrition databaseNutrition database adaptationDatabase data-entry tools
Type
Research Article
Information
Public Health Nutrition , Volume 6 , Issue 4 , June 2003 , pp. 401 - 406
Copyright
Copyright © CABI Publishing 2003

References

1Meir, H, Reshef, A, eds. Food Composition Tables. Jerusalem: Ministry of Health, Department of Nutrition. 1996.Google Scholar
2 US Department of Agriculture (USDA). Composition of Foods Raw, Processed and Prepared. Agriculture Handbook No. 8-1-8-15. USDA Agriculture Research Service, 1976–1987. Available at http://www.nal.usda.gov/fnic/foodcomp/Bulletins/timeline.htm.Google Scholar
3 US Department of Agriculture (USDA). Composition of Foods, SR12. USDA Agriculture Research Service, Nutrient Data Laboratory, 02 1999. Available at http://www. nal.usda.gov/fnic/foodcomp/Data/SR12/sr12.html.Google Scholar
4Guenther, PM, Perloff, BP, Vizioli, TL. Separating fact from artifact in changes in nutrient intake over time. J. Am. Diet. Assoc. 1994; 94: 270–5.Google Scholar
5Perloff, BP Recipe calculations for NFCS database. In: Murphy, S, Rauchwarter, D, eds. Proceedings of the Tenth National Nutrient Data Bank Conference. Springfield, VA: National Technical Information Service. Accession No. PB86-206281/HBF, 1985; 11–21.Google Scholar
6Powers, PM, Hoover, LW. Calculating the nutrient composition of recipes with computers. J. Am. Diet. Assoc. 1989; 89(2): 224–32.Google Scholar
7Perloff, B, Ahuja, JKC. Development and maintenance of nutrient databases for national dietary surveys. Public Health Rev 1988; 26: 43–7.Google Scholar
8Food Intake Analysis System, Version 3. University of Texas Health Science Center at Houston School of Public Health. US Department of Agriculture, Human Nutrition Information Service, 1996.Google Scholar
9Adams, CF. Nutrition Value of American Foods in Common Units. USDA Handbook No. 456. Washington, DC: US Government Printing Office, 1975.Google Scholar
10US Department of Agriculture, Human Nutrition Information Service. Manual of Food Codes for Individual Food Intake Survey, Release 2. Springfield, VA: National Technical Information Service. Accession No. PB87-181020, 1986.Google Scholar
11Posati, LP. Procedures for imputing values. In: Murphy, S, Rauchwarter, D, eds. Proceedings of the Tenth National Nutrient Data Bank Conference. Springfield, VA: National Technical Information Service, Accession No. PB86-206281/HBF, 1985; 124–33.Google Scholar
12McCance, RA, Widowson, EM. The Composition of Foods. 5th ed. Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food. London: HMSO, 1992.Google Scholar
13Salvini, S, Parpinel, M, Gnagnarella, P, Maisonneuve, P, Turrini, A. Composition of Foods for Epidemiological Studies in Italy. Milan: Instituto Europeo di Oncologia, 1998 (in Italian).Google Scholar
14Israel Ministry of Health, Department of Nutrition Weights and Portion Size Booklet. Publication No. 217. Jerusalem: Ministry of Health, Department of Nutrition, 06 2000.Google Scholar
15Block, G, Dresser, CM, Hartman, AM, Carroll, MD. Nutrient sources in the American diet: quantitative data from the NHANES II survey. II. Macronutrients and fats. Am. J. Epidemiol. 1985; 122: 27–40.Google Scholar
16Block, G, Norris, JC. Source of energy and six nutrients in diets of low-income Hispanic-American women and their children: quantitative data from NHANES. J. Am. Diet. Assoc. 1995; 95(2): 195–208.Google Scholar
17Hoover, LW, ed. Nutrition Data Bank Directory. 7th ed. Columbia, MO: University of Missouri, 1988.Google Scholar
18US Department of Agriculture (USDA). Food and Nutrient Intakes by Individuals in the United States by Sex and Age, 1994–96 USDA Nationwide Food Surveys Report. USDA Agriculture Research Service, 1998.Google Scholar
19Favier, JC, Ireland-Ripert, J, Toque, C, Feinberg, M. Repertoire Generale des Aliments. Table de Composition, 2nd ed. Paris: Lavoisier TEC & DOC–INRA Editions, 1995.Google Scholar
20Health and Welfare Canada. Nutrient Value of Some Common Foods. Ottawa: Health and Welfare Canada, Health Services and Promotion Branch and Health Protection Branch, 1999.Google Scholar
21Verdier, PC. The Canadian nutrient file. J. Can. Diet. Assoc. 1987; 34: 523–8.Google Scholar
22Perloff, B. Analysis of dietary data. Am. J. Clin. Nutr 1989; 50: 1128–32.Google Scholar
23Willett, W, ed. Nutritional Epidemiology. New York/Oxford: Oxford University Press. 1998; 56.Google Scholar
24Perisse, J The heterogeneity of food composition tables. In: Hautvast, JGAJ, Klaver, W, eds. The Diet Factor in Epidemiological Research. Euronut Report 1, Wageningen: 1982; 100–5.Google Scholar
25Rand, WM. Food composition data: problems and plans. J. Am. Diet. Assoc. 1985; 85: 1081–3.Google Scholar
26Schlotke, F, Becker, W, Ireland, J, Møller, A, Ovaskainen, M-L, Monspart, J, et al. EUROFOODS Recommendations for Food Composition Database Management and Data Interchange. COST Action 99 – EUROFOODS, 2000.Google Scholar
27LanguaL 2000: Introduction and Users' Manual. COST Report EUR19542. Luxembourg: European Commission, 2000.Google Scholar
28Miller, A, Ireland, J. LanguaL 2000: Thesaurus. COST Report EUR19540. Luxembourg: European Commission, 2000.Google Scholar