Linked Life Data

19079908

Source:http://linkedlifedata.com/resource/pubmed/id/19079908

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-12-16
pubmed:abstractText
The role of diet in promoting health and preventing disease is difficult to elucidate due to its complex network of foods and nutrients. Besides total energy intake, dietary composition is probably the most important discriminator within and between populations. Dietary composition is reflected in dietary patterns, which have recently gained popularity. The present paper reviews the most commonly applied methods to identify dietary patterns, data-driven methods such as factor and cluster analysis, investigator-driven methods such as indices and score, and methods combining the two, namely reduced rank regression. We describe the techniques and their application, discuss strengths and limitations, and discuss the usefulness of dietary pattern analyses.
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:month
Dec
pubmed:issn
1475-2700
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
241-8
pubmed:year
2005
pubmed:articleTitle
Can dietary patterns help us detect diet-disease associations?
pubmed:affiliation
Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA. kmichels@rics.bwh.harvard.edu
pubmed:publicationType
Journal Article