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19732567
Source:
http://linkedlifedata.com/resource/pubmed/id/19732567
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Statements in which the resource exists as a subject.
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Object
rdf:type
pubmed:Citation
lifeskim:mentions
umls-concept:C0231335
,
umls-concept:C0241889
,
umls-concept:C0442796
,
umls-concept:C0455829
,
umls-concept:C0700597
,
umls-concept:C0948265
,
umls-concept:C1305855
pubmed:issue
3
pubmed:dateCreated
2009-9-7
pubmed:abstractText
To determine whether waist circumference (WC) and family history of disease increase the predictive utility of body mass index (BMI) for adult metabolic syndrome (MetS).
pubmed:language
eng
pubmed:journal
http://linkedlifedata.com/resource/pubmed/journal/0375410
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1097-6833
pubmed:author
pubmed-author:CookStephenS
,
pubmed-author:HuangTerry T-KTT
,
pubmed-author:SchubertChristine MCM
,
pubmed-author:SunShumei SSS
pubmed:issnType
Electronic
pubmed:volume
155
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S6.e9-13
pubmed:meshHeading
pubmed-meshheading:19732567-Adolescent
,
pubmed-meshheading:19732567-Adult
,
pubmed-meshheading:19732567-Age Factors
,
pubmed-meshheading:19732567-Body Mass Index
,
pubmed-meshheading:19732567-Child
,
pubmed-meshheading:19732567-Female
,
pubmed-meshheading:19732567-Humans
,
pubmed-meshheading:19732567-Logistic Models
,
pubmed-meshheading:19732567-Longitudinal Studies
,
pubmed-meshheading:19732567-Male
,
pubmed-meshheading:19732567-Metabolic Syndrome X
,
pubmed-meshheading:19732567-Middle Aged
,
pubmed-meshheading:19732567-Pedigree
,
pubmed-meshheading:19732567-Predictive Value of Tests
,
pubmed-meshheading:19732567-Risk Assessment
,
pubmed-meshheading:19732567-Risk Factors
,
pubmed-meshheading:19732567-United States
,
pubmed-meshheading:19732567-Waist Circumference
,
pubmed-meshheading:19732567-Young Adult
pubmed:year
2009
pubmed:articleTitle
Additive utility of family history and waist circumference to body mass index in childhood for predicting metabolic syndrome in adulthood.
pubmed:affiliation
Department of Biostatistics, School of Medicine and Emerging School of Public Health, Virginia Commonwealth University, Richmond, VA, USA.
pubmed:publicationType
Journal Article