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Syndrome X: Is it for real?

dc.contributor.authorNeel, James V.en_US
dc.contributor.authorJulius, Stevoen_US
dc.contributor.authorWeder, Alan B.en_US
dc.contributor.authorYamada, Michikoen_US
dc.contributor.authorKardia, Sharon L. R.en_US
dc.contributor.authorHaviland, Martha B.en_US
dc.date.accessioned2006-04-28T17:01:46Z
dc.date.available2006-04-28T17:01:46Z
dc.date.issued1998en_US
dc.identifier.citationNeel, James V.; Julius, Stevo; Weder, Alan; Yamada, Michiko; Kardia, Sharon L.R.; Haviland, Martha B. (1998)."Syndrome X: Is it for real?." Genetic Epidemiology 15(1): 19-32. <http://hdl.handle.net/2027.42/38510>en_US
dc.identifier.issn0741-0395en_US
dc.identifier.issn1098-2272en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/38510
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=9523208&dopt=citationen_US
dc.description.abstractThe term syndrome X has been applied to the association of hypertension, non-insulin-dependent diabetes mellitus (NIDDM), android obesity, insulin resistance, and dyslipidemia. In this paper, based on population samples from Tecumseh, Michigan, and Hiroshima, Japan, characterized by persons ≥40 years of age, we examine the validity of regarding this constellation of traits as a true syndrome, i.e., an array of traits with a single, unifying pathophysiology underlying its components. Data were not available on insulin resistance and dyslipidemia, and obesity was expressed as body mass index (BMI) without the division into android and non-android types. The four ethnic-gender data sets were analyzed on the basis of two age classes, age ≥40 years and age ≥50 years, and two obesity classes, BMI ≥27 and ≥30. A simple Χ 2 test of goodness-of-fit under a model of independence revealed non-random associations between hypertension, NIDDM, and BMI which were in part attributable to an excess of persons with all three traits. However, when the four data sets were subjected to separate log-linear analyses of the three-way association tables, none of the three-factor interaction terms (i.e., syndrome X) was significant. High significance was, however, observed in the two-factor interaction term for BMI*hypertension. It is concluded that the significant association between these three traits is driven by the BMI*hypertension interaction, and there is no evidence in these data sets of a significant role for a syndrome X. Genet. Epidemiol. 15:19–32,1998. © 1998 Wiley-Liss, Inc.en_US
dc.format.extent60006 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherGeneticsen_US
dc.titleSyndrome X: Is it for real?en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbsecondlevelGeneticsen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor ; Department of Human Genetics, Box 0618, M4780 Medical Science I, University of Michigan, Ann Arbor, MI 48109-0618en_US
dc.contributor.affiliationumDepartment of Medicine, University of Michigan Medical School, Ann Arboren_US
dc.contributor.affiliationumDepartment of Medicine, University of Michigan Medical School, Ann Arboren_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan Medical School, Ann Arboren_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan Medical School, Ann Arboren_US
dc.contributor.affiliationotherDepartment of Clinical Studies, Radiation Effects Research Foundation, Hiroshima, Japanen_US
dc.identifier.pmid9523208en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/38510/1/2_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/(SICI)1098-2272(1998)15:1<19::AID-GEPI2>3.0.CO;2-#en_US
dc.identifier.sourceGenetic Epidemiologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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