Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2004-9-28
pubmed:abstractText
The aim of this study was to examine how the major components of the metabolic syndrome relate to each other and to the development of diabetes using factor analysis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0149-5992
pubmed:author
pubmed:copyrightInfo
Copyright 2004 American Diabetes Association
pubmed:issnType
Print
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2429-37
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:15451912-Adult, pubmed-meshheading:15451912-Age Distribution, pubmed-meshheading:15451912-Aged, pubmed-meshheading:15451912-Aged, 80 and over, pubmed-meshheading:15451912-Anthropometry, pubmed-meshheading:15451912-Asian Continental Ancestry Group, pubmed-meshheading:15451912-Blood Glucose, pubmed-meshheading:15451912-Case-Control Studies, pubmed-meshheading:15451912-Diabetes Mellitus, Type 2, pubmed-meshheading:15451912-Factor Analysis, Statistical, pubmed-meshheading:15451912-Female, pubmed-meshheading:15451912-Finland, pubmed-meshheading:15451912-Health Surveys, pubmed-meshheading:15451912-Humans, pubmed-meshheading:15451912-Incidence, pubmed-meshheading:15451912-Logistic Models, pubmed-meshheading:15451912-Male, pubmed-meshheading:15451912-Mass Screening, pubmed-meshheading:15451912-Metabolic Syndrome X, pubmed-meshheading:15451912-Middle Aged, pubmed-meshheading:15451912-Multivariate Analysis, pubmed-meshheading:15451912-Postprandial Period, pubmed-meshheading:15451912-Probability, pubmed-meshheading:15451912-Risk Assessment, pubmed-meshheading:15451912-Severity of Illness Index, pubmed-meshheading:15451912-Sex Distribution
pubmed:year
2004
pubmed:articleTitle
The metabolic syndrome defined by factor analysis and incident type 2 diabetes in a chinese population with high postprandial glucose.
pubmed:affiliation
Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, KTL/GE-Lab, Kytosuontie 11, FIN-00300 Helsinki, Finland. jianjun.wang@ktl.fi
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't