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dc.contributor.authorPou, Karla Michelle
dc.contributor.authorMassaro, Joseph M.
dc.contributor.authorHoffmann, Udo
dc.contributor.authorLieb, Kathrin
dc.contributor.authorVasan, Ramachandran S.
dc.contributor.authorO'Donnell, Christopher Joseph
dc.contributor.authorFox, Caroline
dc.date.accessioned2011-02-11T21:06:59Z
dc.date.issued2009
dc.identifier.citationPou, Karla M., Joseph M. Massaro, Udo Hoffmann, Kathrin Lieb, Ramachandran S. Vasan, Christopher J. O'Donnell, and Caroline S. Fox. 2009. Patterns of Abdominal Fat Distribution. Diabetes Care 32(3): 481-485.en_US
dc.identifier.issn0149-5992en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4724751
dc.description.abstractOBJECTIVE—The prevalence of abdominal obesity exceeds that of general obesity. We sought to determine the prevalence of abdominal subcutaneous and visceral obesity and to characterize the different patterns of fat distribution in a community-based sample. RESEARCH DESIGN AND METHODS—Participants from the Framingham Heart Study (n = 3,348, 48% women, mean age 52 years) underwent multidetector computed tomography; subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) volumes were assessed. Sex-specific high SAT and VAT definitions were based on 90th percentile cut points from a healthy referent sample. Metabolic risk factors were examined in subgroups with elevated SAT and VAT. RESULTS—The prevalence of high SAT was 30% (women) and 31% (men) and that for high VAT was 44% (women) and 42% (men). Overall, 27.8% of the sample was discordant for high SAT and high VAT: 19.9% had SAT less than but VAT equal to or greater than the 90th percentile, and 7.9% had SAT greater than but VAT less than the 90th percentile. The prevalence of metabolic syndrome was higher among women and men with SAT less than the 90th percentile and high VAT than in those with high SAT but VAT less than the 90th percentile, despite lower BMI and waist circumference. Findings were similar for hypertension, elevated triglycerides, and low HDL cholesterol. CONCLUSIONS—Nearly one-third of our sample has abdominal subcutaneous obesity, and <40% have visceral obesity. Clinical measures of BMI and waist circumference may misclassify individuals in terms of VAT and metabolic risk.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Diabetes Associationen_US
dc.relation.isversionofdoi:10.2337/dc08-1359en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646033/pdf/en_US
dash.licenseLAA
dc.titlePatterns of Abdominal Fat Distributionen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalDiabetes Careen_US
dash.depositing.authorPou, Karla Michelle
dc.date.available2011-02-11T21:06:59Z
dash.affiliation.otherHMS^Medicine-Brigham and Women's Hospitalen_US
dash.affiliation.otherHMS^Radiology-Massachusetts General Hospitalen_US
dash.affiliation.otherHMS^Medicine-Massachusetts General Hospitalen_US
dash.affiliation.otherHMS^Medicine-Brigham and Women's Hospitalen_US
dc.identifier.doi10.2337/dc08-1359*
dash.contributor.affiliatedPou, Karla Michelle
dash.contributor.affiliatedO'Donnell, Christopher
dash.contributor.affiliatedHoffmann, Udo
dash.contributor.affiliatedFox, Caroline


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