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Correlation analyses as a step to identify foods that are sources of inter-individual variability in nutrients; their use for the development of food based dietary guidelines

Published online by Cambridge University Press:  01 April 2001

Catherine Leclercq  and
Davide Arcella
Catherine Leclercq*
Affiliation:
National Institute for Food and Nutrition Research (INRAN), Via Ardeatina, 546, 00178 Rome, Italy
Davide Arcella
Affiliation:
National Institute for Food and Nutrition Research (INRAN), Via Ardeatina, 546, 00178 Rome, Italy
*
*Corresponding author: Email leclercq@inn.ingrm.it
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Abstract

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Food Based Dietary Guidelines (FBDG), in order to be attainable, should take into account the cultural context of the population for which they are developed. They need to focus on foods that actually determine the intake of nutrients for which desirable changes have been identified. Inter-individual variability of nutrient intakes – a measure of the heterogeneity of intakes – is determined by the variability in the consumption of its food sources among the population. The foods that determine a high proportion of inter-individual variability in nutrient intake can be identified on the basis of data banks that describe food and nutrient intakes in the population. The experience accumulated to design Food Frequency Questionnaire through selection of key foods suggests that high quantitative contributors to a specific nutrient may not be important determinants of its intake. On the other hand, the Pearson correlation between the intake of each food source and the total nutrient intake allows quantification of the percentage of variability explained by each item and takes into account the possibility of correlations between different food sources. Once a key food is identified, several strategies are available to modify its intake in the population: through changes in the percentage of consumers/in the mean portion size/in the frequency of intake. The anticipated level of change can be predicted according to the strategy adopted.

Keywords

Nutrient intakeFood sourcesPatterns of food consumptionInter-individual variabilityPearson correlationFood based dietary guidelines
Type
Research Article
Information
Public Health Nutrition , Volume 4 , Issue 2b , April 2001 , pp. 689 - 692
Copyright
Copyright © CABI Publishing 2001

References

1FAO/WHO. Preparation and use of food-based dietary guidelines. In: Report of a Joint FAO/WHO consultation; 1996; Niscosia, Cyprus. Geneva: WHO, 1996.Google Scholar
2Freudenheim, JL, Krogh, V, D'Amicis, A, Scaccini, C, Sette, S, Ferro-Luzzi, A, Trevisan, M. Food Sources of Nutrients in the Diet of Elderly Italians: I. Macronutrients and Lipids. Int. J. Epidemiol. 1993; 22: 855–68.CrossRefGoogle ScholarPubMed
3Krogh, V, Freudenheim, JL, D'Amicis, A, Scaccini, C, Sette, S, Ferro-Luzzi, A, Trevisan, M. Food Sources of Nutrients in the Diet of Elderly Italians: II Micronutrients. Int. J. Epidemiol. 1993; 22: 869–77.CrossRefGoogle ScholarPubMed
4Greenfield, H, Southgate, DAT. Food Composition Data – Production, Management and Use. London: Elsevier Applied Science, 1992.CrossRefGoogle Scholar
5Löwik, MRH, Welten, DC. Quantiles and Discriminant analysis. Pub. Health Nutr. 2000, (this issue).Google Scholar
6Becker, W, Foley, S, Shelley, E, Gibney, M. Under-reporting in dietary survey – implications for development of food-based dietary guidelines. Brit. J. Nutr. 1999; 81(S2): S139–42.CrossRefGoogle ScholarPubMed
7Lambe, J, Kearney, J. The influence of survey duration on estimates of food intake- relevance for food-based dietary guidelines. Brit. J. Nutr. 1999; 81(S2): S139–42.CrossRefGoogle ScholarPubMed
8Serra-Majem, L. National, household and individual food data. Pub. Health Nutr. 2000, (this issue).Google Scholar
9Leclercq, C, Valsta, L, Turrini, A. Food composition issues – implications for the development of food-based dietary guidelines. Pub. Health Nutr. 2000. (this issue).Google Scholar
10Corrao, G, Busellu, G, Torchio, P, Floridi, S, D'Amicis, A, Recchia, C, Di Placido, R, Giardini, P, Mandorino, B, Di Orio, F. Reduction modality of a dietary questionnaire. Epidemiol. Prev. 1993; 17: 209–18.Google ScholarPubMed
11Leclercq, C, Berardi, D, Sorbillo, MR, Lambe, J. Intake of saccharin, aspartame, acesulfame K and cyclamate in Italian teenagers. Present levels and projections. Food. Add. Cont. 1999; 16: 99–109.CrossRefGoogle ScholarPubMed
12Gibney, MJ. Development of food–based dietary guidelines: a case-study of fibre intake in Irish women. Brit. J. Nutr. 1999; 81(S2): 151–2.CrossRefGoogle ScholarPubMed