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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

Bibliographic Data

ID15096028
AuthorsCatherine Leclercq (0000-0002-9416-7738, National Institute for Food and Nutrition Research (INRAN), corresponding author), Davide Arcella (0000-0003-3179-1426, National Institute for Food and Nutrition Research (INRAN))
Year2001
Volume4
Issue2b
Pages689-692
Publication date2001-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1079/phn2001155
PMID11683563
OpenAlexW1973660607
LanguageEN
Citations received1
References cited8

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

Biology · Environmental health · Food frequency questionnaire · Food group · Food intake · Nutrient · Nutrient density · Population · Consumer Attitudes and Food Labeling · Medicine · Nutritional Studies and Diet · Sensory Analysis and Statistical Methods · Ecology · Food Science

  • Impact of disaggregation of composite foods on estimates of intakes of meat and meat products in Irish adults

    Open Access•Meadhbh Cosgrove, Albert Flynn et al.•Public Health Nutrition•2005

  • Food composition issues – implications for the development of food-based dietary guidelines

    Open Access•Catherine Leclercq, Liisa Valsta et al.•Public Health Nutrition•2001

Unique citing works1
Citations per year0,05
Citation span2005 - 2005 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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