| MRI sagittal abdominal diameter is a stronger predictor of metabolic syndrome than visceral fat area or waist circumference in a high-risk vascular cohort. | |
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MedLine Citation:
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PMID: 20730019 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: To determine whether sagittal abdominal diameter (SAD) is associated with the metabolic syndrome independently of visceral fat area (VFA) and waist circumference (WC). METHODS: Forty-three high-risk vascular patients were evaluated for metabolic syndrome criteria and underwent magnetic resonance imaging (MRI) to quantify SAD and VFA at the L4-L5 disc. COMPARISONS: 1. Baseline differences in patients with and without the metabolic syndrome 2. Forward binary logistic regression analysis of predictors of the metabolic syndrome with SAD, VFA and WC as independents 3. Correlates of SAD. RESULTS: Patients with metabolic syndrome had greater SAD, VFA and WC than patients without the metabolic syndrome (P < 0.01). Of SAD, VFA and WC, only SAD was associated with metabolic syndrome on forward binary logistic regression; beta 0.68, Wald's statistic 10.8 (P = 0.001) and c-statistic 0.89 (P < 0.001). A > 22.7 cm SAD threshold identified metabolic syndrome with a 91% sensitivity and 80% specificity. SAD correlated with waist circumference (r = 0.918), high-density lipoprotein-cholesterol (r = -0.363), triglyceride (r = 0.401), fasting glucose (r = 0.428) and the QUICK index of insulin sensitivity (r = -0.667) (all P < 0.05). CONCLUSIONS: MRI-measured SAD is associated with the metabolic syndrome and renders the current gold standard of VFA redundant. This measure of obesity-related cardiovascular risk requires validation and evaluation in a prospective cohort. |
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Authors:
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Michel R Hoenig |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-08-09 |
Journal Detail:
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Title: Vascular health and risk management Volume: 6 ISSN: 1178-2048 ISO Abbreviation: Vasc Health Risk Manag Publication Date: 2010 |
Date Detail:
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Created Date: 2010-08-23 Completed Date: 2010-12-03 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101273479 Medline TA: Vasc Health Risk Manag Country: New Zealand |
Other Details:
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Languages: eng Pagination: 629-33 Citation Subset: IM |
Affiliation:
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University of Queensland, Centre for Clinical Research, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia. drmhoenig@yahoo.com.au |
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| MeSH Terms | |
Descriptor/Qualifier:
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Abdomen
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pathology* Adiposity Aged Chi-Square Distribution Female Humans Intra-Abdominal Fat / pathology* Logistic Models Magnetic Resonance Imaging Male Metabolic Syndrome X / diagnosis*, pathology Obesity / pathology Prospective Studies ROC Curve Risk Factors Statistics, Nonparametric Waist Circumference* |
| Comments/Corrections | |
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