Document Detail


Analytical approaches to food-based dietary guidelines in the European setting.
MedLine Citation:
PMID:  11683559     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
K F Hulshof; L M Valsta; D C Welten; M R Löwik
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Public health nutrition     Volume:  4     ISSN:  1368-9800     ISO Abbreviation:  Public Health Nutr     Publication Date:  2001 Apr 
Date Detail:
Created Date:  2001-10-30     Completed Date:  2001-12-04     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9808463     Medline TA:  Public Health Nutr     Country:  England    
Other Details:
Languages:  eng     Pagination:  667-72     Citation Subset:  IM    
Affiliation:
TNO Nutrition and Food Research Institute, Department of Nutritional Epidemiology, Zeist, The Netherlands. hulshof@voeding.tno.nl
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MeSH Terms
Descriptor/Qualifier:
Cluster Analysis
Databases, Factual
Diet Surveys
Dietary Fiber / administration & dosage
Energy Intake / physiology*
Europe
Factor Analysis, Statistical
Female
Food Analysis*
Food Habits*
Humans
Iron, Dietary / administration & dosage
Male
Meta-Analysis as Topic
Nutrition Policy
Chemical
Reg. No./Substance:
0/Iron, Dietary

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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