Hostname: page-component-848d4c4894-8kt4b Total loading time: 0 Render date: 2024-06-26T19:31:24.176Z Has data issue: false hasContentIssue false

Analytical approaches to food-based dietary guidelines in the European setting

Published online by Cambridge University Press:  01 April 2001

KFAM Hulshof*
Affiliation:
TNO Nutrition and Food Research Institute, Department of Nutritional Epidemiology, Zeist, The Netherlands
LM Valsta
Affiliation:
National Public Health Institute, Department of Nutrition, Helsinki, Finland
DC Welten
Affiliation:
TNO Nutrition and Food Research Institute, Department of Nutritional Epidemiology, Zeist, The Netherlands
MRH Löwik
Affiliation:
TNO Nutrition and Food Research Institute, Department of Nutritional Epidemiology, Zeist, The Netherlands
*
*Corresponding author: Email hulshof@voeding.tno.nl
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective:

To show the effects of statistical approaches of data analysis to be used in the development of Food-Based Dietary Guidelines (FBDG).

Setting:

Databases from dietary surveys in 6 European countries.

Results:

Quantile analysis based on iron intake among adult women resulted in differences among European countries regarding (macro) nutrient intake and consumption of food groups. However, in all countries women in the highest quartile had a higher intake of energy and dietary fibre and a higher intake of most food groups. In developing FBDG adjustment of energy intake is recommended. Discriminant analyses showed that among Dutch women potatoes, red meat, sausages, offal, savoury snacks, eggs and total vegetables were found to be the most predictive for differences in iron intake. Relatively high correlations were observed for iron and dietary fibre and iron and (some) B-vitamins. Examples from cluster and factor analysis showed that this type of analysis considers the complexity of the dietary pattern and could also be a helpful instrument in the development of FBDG.

Conclusions:

The use of a nutrient distribution can be used as a minimum approach in developing FBDG. More advanced methods can also be used in addition to set priorities for FBDG and to analyse complete dietary patterns.

Type
Research Article
Copyright
Copyright © CABI Publishing 2001

References

1WHO/FAO. Preparation and use of food-based dietary guidelines. Nutrition Programme. Geneva: WHO, 1996.Google Scholar
2Kleemola, P, Virtanen, M, Pietinen, P. The 1992 Dietary Survey of Finnish Adults. Publications of National Public Health Institute B2/1994, Helsinki, 1994.Google Scholar
3NIN. Linee guida oer una sana alimentazione italiana. Rome: Istituto Nazaionale della Nutrizione 1997.Google Scholar
4Lee, P, Cunningham, K. Irish National Nutrition Survey. Dublin: Irish Nutrition and Dietetic Institute, 1990.Google Scholar
5Löwik, MRH, Hulshof, KFAM, van der Heijden, LMJ, Brussaard, JH, Burema, J, Kistemaker, C, de Vries, PJF. Changes in the diet in the Netherlands: 1987–1988 to 1992 (Dutch Nutrition Surveillance System). Int. J. Food Science Nutr. 1998; 49(Suppl. 1): S1–64.Google Scholar
6Serra-Majem, L, Ribas, L, Garciá-Closes, R, Ramon, JM, Salvador, G, Farran, A, Serra, J, Sabater, G, Jover, L, Tresserras, R, Salto, E, Chacon, P, Pastor, MC, Puchal, A, Lloveras, G, Taberner, JL, Salleras, L. Libre blanc: Avaluació de l'estat nutricional de la poblacio catalana (1992–93) (White book: The evaluation of nutritional status in Catalonia (1992–93)). Barcelona: Department de Sanitat i Aeguretat Social.Google Scholar
7Gregory, J, Foster, K, Tyler, H, Wiseman, M. The dietary and Nutritional Survey of British Adults. London: HMSO, 1990.Google Scholar
8 Anonymous. Food-based Dietary Guidelines- A Staged Approach. Br. J. Nutr. 1999; 81(Suppl. 2): S29–153.Google Scholar
9Leclercq, A, Arcella, D. Food composition issues -implications for the development of food-based dietary guidelines. Public Health Nutrition. (This issue).Google Scholar
10Kearney, JM et al. Eating patterns -temporal distribution, converging and diverging foods, meals eaten outside of the home- implications for developing food based dietary guidelines. Public Health Nutrition. (This issue).Google Scholar
11Hair, JF, Anderson, RE, Tatham, RL, Black, WC. Multivariate Data Analysis. Fifth edition. New Jersey: Prentice Hall, 1998.Google Scholar
12Hulshof, KFAM, Wedel, M, Löwik, MRH, Kok, FJ, Kisteaker, C, Hermus, RJJ, ten Hoor, F, Ockhuizen, Th. Clustering of dietary variables and other lifestyle factors (Dutch National Surveillance System). J. Epidemiol. Comm. Health 1992; 46: 417–24.CrossRefGoogle Scholar
13Huijbregts, PPCW, Feskens, EJM, Kromhout, D. Dietary patterns and cardiovascular risk factors in elderly men – The Zutphen Elderly Study. Int. J. Epidemiol. 1995; 24: 313–20.CrossRefGoogle ScholarPubMed
14Tucker, K, Dallal, G, Rush, D. Dietary patterns of elderly Boston-area residents defined by cluster analysis. J. Am. Diet. Assoc. 1992; 92: 1487–91.CrossRefGoogle ScholarPubMed
15Wirfált, AKE, Jeffery, RW, Elmer, PJ. Using cluster analysis to examine dietary patterns: nutrient intakes, gender and weight status differ across food pattern clusters. J. Am. Diet. Assoc. 1997; 97: 272–9.CrossRefGoogle ScholarPubMed
16Ovaskainen, M-L. Tupakovien miesten ruokavalion rakenne ja sen yhteydet terveysmittareihin (The diet of male smokers, its structure and associations with health status). Ph.D thesis, University of Helsinki, Helsinki, 1992 (Published in Finnish, English summary).Google Scholar
17Valsta, LM. Suomalaisten ruokien ravintoainetiheys (The nutrient density of Finnish foods). M.Sc thesis, University of Helsinki, Helsinki, 1982 (Published in Finnish).Google Scholar