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Effect of the choice of food composition table on nutrient estimates: a comparison between the British and American (Chilean) tables

Published online by Cambridge University Press:  02 January 2007

V Garcia ,
RJ Rona  and
S Chinn
V Garcia*
Affiliation:
Department of Public Health Sciences, King's College London, 5th Floor, Capital House, 42 Weston Street, London, SE1 3QD, UK Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile
RJ Rona
Affiliation:
Department of Public Health Sciences, King's College London, 5th Floor, Capital House, 42 Weston Street, London, SE1 3QD, UK
S Chinn
Affiliation:
Department of Public Health Sciences, King's College London, 5th Floor, Capital House, 42 Weston Street, London, SE1 3QD, UK
*
*Corresponding author: Email [email protected]
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Abstract

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Objective:

To determine the level of agreement between the American (Chilean) and British food composition tables in estimating intakes of macronutrients and antioxidants.

Design, setting and subjects: Information based on a food-frequency questionnaire with emphasis on antioxidants was collected from 95 Chileans aged 24–28 years. Nutritional composition was analysed using the British table of food composition and the American table of food composition modified by Chilean food items. Mean differences and limits of agreement (LOAs) of estimated intake were assessed.

Results:

Mean differences between the two tables of food composition ranged from 5.3% to 8.9% higher estimates when using the American (Chilean) table for macronutrients. For micronutrients, a bias towards a higher mean was observed for vitamin E, iron and magnesium when the American (Chilean) table was used, but the opposite was observed for vitamin A and selenium. The intra-class correlation coefficient (ICC) ranged from 0.86 (95% confidence interval (CI) 0.81–0.91) to 0.998 (95% CI 0.995–1.00), indicating high to excellent agreement. LOAs for macronutrients and vitamins A and C were satisfactory, as they were sufficiently narrow. There was more uncertainty for other micronutrients.

Conclusion:

The American table gives relative overestimates of macronutrients in comparison to the British table, but the relative biases for micronutrients are inconsistent. Estimates of agreement between the two food composition tables provide reassurance that results are interchangeable for the majority of nutrients.

Keywords

Food composition tablesCorrelationAgreementMacronutrientsMicronutrients
Type
Research Article
Information
Public Health Nutrition , Volume 7 , Issue 4 , June 2004 , pp. 577 - 583
Copyright
Copyright © The Authors 2004

References

1Margetts, BM, Nelson, M. Overview of the principles of nutritional epidemiology. In: Margetts, BM, Nelson, M, eds. Design Concepts in Nutritional Epidemiology, 2nd ed. Oxford: Oxford University Press, 1997; 3–38.CrossRefGoogle Scholar
2Cade, J, Thompson, R, Burley, V, Warm, D. Development, validation and utilisation of food-frequency questionnaires – a review. Public Health Nutrition 2002; 5: 567–87.CrossRefGoogle ScholarPubMed
3Leclercq, C, Valsta, LM, Turrini, A. Food composition issues – implications for the development of food-based dietary guidelines. Public Health Nutrition 2002; 4: 677–82.CrossRefGoogle Scholar
4Dwyer, JT. Future directions in food composition studies. Journal of Nutrition 1994; 124: 17835–85.CrossRefGoogle ScholarPubMed
5Lee, RD, Nieman, DC, Rainwater, M. Comparison of eight microcomputer dietary analysis programs with the USDA Nutrient Database for Standard Reference. Journal of the American Dietetic Association 1995; 95: 858–67.CrossRefGoogle ScholarPubMed
6Deharveng, G, Charrondiere, UR, Slimani, N, Southgate, DAT, Riboli, E. Comparison of nutrients in the food composition tables available in the nine European countries participating in EPIC. European Journal of Clinical Nutrition 1999; 53: 60–79.CrossRefGoogle ScholarPubMed
7Polacchi, W, Weisell, R, Marroni, S, Mazar, I. Derivation of nutrient values for FAO Statistical Databases. Journal of Food Composition and Analysis 2002; 15: 515–22.CrossRefGoogle Scholar
8Schlotke, F, Becker, W, Ireland, J, Møller, A, Ovaskainen, ML, Monspart, J, et al. EUROFOODS recommendations for food composition database management and data interchange. Journal of Food Composition and Analysis 2000; 13: 709–44.CrossRefGoogle Scholar
9Ireland, JD, Møller, A. Review of international food classification and description. Journal of Food Composition and Analysis 2000; 13: 529–38.CrossRefGoogle Scholar
10Khalil, JK. Food composition activities in developing countries: SAARCFOODS perspective. Journal of Food Composition and Analysis 2000; 13: 669–84.CrossRefGoogle Scholar
11 Food and Agriculture Organization/LATINFOODS. Tabla de Composición de Alimentos de América Latina [online], 2000. Available at http://www.rlc.fao.org/bases/alimento.Google Scholar
12Romieu, I, Hernandez-Avila, M, Rivera, JA, Ruel, MT, Parra, S. Dietary studies in countries experiencing a health transition: Mexico and Central America. American Journal of Clinical Nutrition 1997; 65: 1159S–65S.CrossRefGoogle ScholarPubMed
13Slimani, N, Charrondière, R, van Staveren, W, Riboli, E. Standardization of food composition databases for the European Prospective Investigation into Cancer and Nutrition (EPIC): general theoretical concept. Journal of Food Composition and Analysis 2000; 13: 567–84.CrossRefGoogle Scholar
14Marletta, L, Lucarini, M, Ruggeri, S, Carnovale, E. Food composition databases in Italy: problems and perspectives. Journal of Food Composition and Analysis 2000; 13: 611–8.CrossRefGoogle Scholar
15Chilean Ministry of Health. Dietary Guidelines for Chile. Santiago: Chilean Ministry of Health, 1996.Google Scholar
16 US Department of Agriculture, Agricultural Research Service. USDA National Nutrient Database for Standard Reference, Release 15 [online], 2002. Available at Nutrient Data Laboratory home page, http://www.nal.usda.gov/fnic/ foodcomp.Google Scholar
17Castillo, C, Atalah, E, Benavides, X, Urteaga, C. Food patterns among adults visiting primary care clinics in the metropolitan region. Revista Medica de Chile 1997; 125: 283–9.Google ScholarPubMed
18Rozowski, J, Cuevas, A, Castillo, O, Marin, P, Strobel, P, Perez, D, et al. Differences in plasma antioxidants according to socioeconomic level in Chilean women. Revista Medica de Chile 2001; 129: 43–50.Google ScholarPubMed
19Schmidt-Hebbel, H, Pennacchiotti, I, Masson, L, Mella, MA. [Chilean Table of Foods Chemical Composition]. Santiago: Facultad de Ciencias Químicas y Farmaceuticas, Universidad de Chile, 1992.Google Scholar
20Masson, L. [Updated Report on Omega-3 and Omega-6 Content in Chilean Foods]. Santiago: Facultad de Ciencias Químicas y Farmaceuticas, Universidad de Chile, 1997.Google Scholar
21Holland, B, Welch, AA, Unwin, ID, Buss, DH, Paul, AA, Southgate, DAT. McCance & Widdowson's The Composition of Foods, 5th ed. Cambridge: The Royal Society of Chemistry and Ministry of Agriculture, Fisheries and Food, 1991.Google Scholar
22Department of Health. Dietary Reference Values for Food Energy and Nutrients for the United Kingdom. Report of the Panel on Dietary Reference Values of the Committee on Medical Aspects of Food Policy. London: Department of Health, 1991.Google Scholar
23Food and Agriculture Organization (FAO)/World Health Organization (WHO). Energy and Protein Requirements. Report of a Joint FAO/WHO Ad Hoc Expert Committee. FAO Nutrition Meeting Report Series No. 52. Rome: FAO, 1973.Google Scholar
24Bland, JM, Altman, DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307–10.CrossRefGoogle ScholarPubMed
25Chinn, S. The assessment of methods of measurement. Statistics in Medicine 1990; 9: 351–62.CrossRefGoogle ScholarPubMed
26Chinn, S. Statistics in respiratory medicine 2. Repeatability and method comparison. Thorax 1991; 46: 454–6.CrossRefGoogle ScholarPubMed
27Carnovale, E, Marletta, L. [Table of Food Composition]. Rome: Instituto Nazionale di Ricerca per gli Alimenti e la Nutrizione, 2002.Google Scholar
28Resources Council, Science and Technology Agency, Japan. [Standard Tables of Food Composition], 5th ed. Tokyo: Ministry of Finance, 2000.Google Scholar
29Menchu, MT, Mendez, H, Barrera, MA, Ortega, L. [Food Composition Table in Central America], 1st ed. Guatemala City: Institute of Nutrition of Central America and Panama, 1996.Google Scholar
30Food and Agriculture Organization (FAO). Energy-yielding Components of Food and Computation of Calorie Values. Washington, DC: FAO, 1947.Google Scholar
31Sasaki, S, Kobayashi, M, Tsugane, S. Development of substituted fatty acid food composition table for the use in nutritional epidemiological studies for Japanese populations: its methodological backgrounds and the evaluation. Journal of Epidemiology 1999; 9: 190–207.CrossRefGoogle ScholarPubMed
32Sanchez-Castillo, CP, Dewey, PJS, Aguirre, A, Lara, JJ, Vaca, R, Leon de la Barra, P, et al. The mineral content of Mexican fruits and vegetables. Journal of Food Composition and Analysis 1998; 11: 340–56.CrossRefGoogle Scholar
33Pinochet, H, De Gregori, I, Lobos, MG, Fuentes, E. Selenium and copper in vegetables and fruits grown on long-term impacted soils from Valparaiso region, Chile. Bulletin of Environmental Contamination and Toxicology 1999; 63: 327–34.CrossRefGoogle ScholarPubMed