Document Detail


Dietary pattern analysis: a new direction in nutritional epidemiology.
MedLine Citation:
PMID:  11790957     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Recently, dietary pattern analysis has emerged as an alternative and complementary approach to examining the relationship between diet and the risk of chronic diseases. Instead of looking at individual nutrients or foods, pattern analysis examines the effects of overall diet. Conceptually, dietary patterns represent a broader picture of food and nutrient consumption, and may thus be more predictive of disease risk than individual foods or nutrients. Several studies have suggested that dietary patterns derived from factor or cluster analysis predict disease risk or mortality. In addition, there is growing interest in using dietary quality indices to evaluate whether adherence to a certain dietary pattern (e.g. Mediterranean pattern) or current dietary guidelines lowers the risk of disease. In this review, we describe the rationale for studying dietary patterns, and discuss quantitative methods for analysing dietary patterns and their reproducibility and validity, and the available evidence regarding the relationship between major dietary patterns and the risk of cardiovascular disease.
Authors:
Frank B Hu
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Current opinion in lipidology     Volume:  13     ISSN:  0957-9672     ISO Abbreviation:  Curr. Opin. Lipidol.     Publication Date:  2002 Feb 
Date Detail:
Created Date:  2002-01-15     Completed Date:  2002-06-14     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  9010000     Medline TA:  Curr Opin Lipidol     Country:  England    
Other Details:
Languages:  eng     Pagination:  3-9     Citation Subset:  IM    
Affiliation:
Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA. Frank.hu@channing.harvard.edu
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MeSH Terms
Descriptor/Qualifier:
Cluster Analysis
Coronary Disease / epidemiology*,  physiopathology
Factor Analysis, Statistical
Food Habits* / classification,  ethnology,  physiology
Humans
Nutritional Physiological Phenomena
Reproducibility of Results
Risk Factors

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


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