Literature DB >> 7661113

Estimating intraabdominal adipose tissue in women by dual-energy X-ray absorptiometry.

M S Treuth1, G R Hunter, T Kekes-Szabo.   

Abstract

The purposes of this study were 1) to derive a prediction equation for estimating the intraabdominal adipose tissue (IAAT) by using dual-energy X-ray absorptiometry (DXA) with computed tomography (CT) scans as the criterion method, 2) to examine whether a smaller, more specific region was a better estimator of IAAT than the trunk alone by drawing three regions of interest (upper trunk, lower trunk, and pelvis) in the DXA scan, and 3) to cross-validate the newly developed equations and earlier equations by Svendsen. Body composition was measured in 206 pre- and postmenopausal women by anthropometry, DXA, and CT. Subjects were randomly divided into estimation (n = 151) and validation (n = 55) samples. Body-composition variables were analyzed by stepwise multiple regression to determine equations to estimate IAAT. The two equations developed to estimate IAAT both yielded an R2 of 0.81 when using the following variables: 1) sagittal diameter, age, waist circumference, and DXA trunk percent fat, and 2) sagittal diameter, age, waist circumference, and DXA pelvic percent fat. The R2 between the actual IAAT and estimates of IAAT for both equations was 0.81, whereas the R2 values were 0.63 and 0.71 for the Svendsen equations. In conclusion, we developed new equations using DXA and other simple measures that can be used to estimate IAAT in women of varying ages and body compositions.

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Year:  1995        PMID: 7661113     DOI: 10.1093/ajcn/62.3.527

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  22 in total

1.  How useful is waist circumference for assessment of abdominal obesity in Korean pre-menopausal women during weight loss?

Authors:  Mi-Ja Hwang; Won-Suk Chung; Dympna Gallagher; Deog-Yoon Kim; Hyun-Dae Shin; Mi-Yeon Song
Journal:  Asia Pac J Clin Nutr       Date:  2008       Impact factor: 1.662

Review 2.  The clinical importance of visceral adiposity: a critical review of methods for visceral adipose tissue analysis.

Authors:  A Shuster; M Patlas; J H Pinthus; M Mourtzakis
Journal:  Br J Radiol       Date:  2011-09-21       Impact factor: 3.039

3.  Resistance training volume, energy balance and weight management: rationale and design of a 9 month trial.

Authors:  Richard A Washburn; Joseph E Donnelly; Bryan K Smith; Debra K Sullivan; Janet Marquis; Stephen D Herrmann
Journal:  Contemp Clin Trials       Date:  2012-03-13       Impact factor: 2.226

4.  DXA-Determined Regional Adiposity Relates to Insulin Resistance in a Young Adult Population with Overweight andObesity.

Authors:  Anne E Bantle; Tyler A Bosch; Donald R Dengel; Qi Wang; Douglas G Mashek; Lisa S Chow
Journal:  J Clin Densitom       Date:  2018-06-07       Impact factor: 2.617

5.  Type 1 familial partial lipodystrophy: understanding the Köbberling syndrome.

Authors:  Cristina Guillín-Amarelle; Sofía Sánchez-Iglesias; Ana Castro-Pais; Leticia Rodriguez-Cañete; Lucía Ordóñez-Mayán; Marcos Pazos; Blanca González-Méndez; Silvia Rodríguez-García; Felipe F Casanueva; Ana Fernández-Marmiesse; David Araújo-Vilar
Journal:  Endocrine       Date:  2016-07-30       Impact factor: 3.633

6.  Effects of the dietary approaches to stop hypertension diet alone and in combination with exercise and caloric restriction on insulin sensitivity and lipids.

Authors:  James A Blumenthal; Michael A Babyak; Andrew Sherwood; Linda Craighead; Pao-Hwa Lin; Julie Johnson; Lana L Watkins; Jenny T Wang; Cynthia Kuhn; Mark Feinglos; Alan Hinderliter
Journal:  Hypertension       Date:  2010-03-08       Impact factor: 10.190

7.  DXA-measured visceral adipose tissue predicts impaired glucose tolerance and metabolic syndrome in obese Caucasian and African-American women.

Authors:  X Bi; L Seabolt; C Shibao; M Buchowski; H Kang; C D Keil; R Tyree; H J Silver
Journal:  Eur J Clin Nutr       Date:  2014-10-22       Impact factor: 4.016

8.  Neuroimaging studies of factors related to exercise: rationale and design of a 9 month trial.

Authors:  Stephen D Herrmann; Laura E Martin; Florence J Breslin; Jeffery J Honas; Erik A Willis; Rebecca J Lepping; Cheryl A Gibson; Christie A Befort; Kate Lambourne; Jeffrey M Burns; Bryan K Smith; Debra K Sullivan; Richard A Washburn; Hung-Wen Yeh; Joseph E Donnelly; Cary R Savage
Journal:  Contemp Clin Trials       Date:  2013-11-27       Impact factor: 2.226

9.  Risk factors for cardiovascular disease in children infected with human immunodeficiency virus-1.

Authors:  Tracie L Miller; E John Orav; Steven E Lipshultz; Kristopher L Arheart; Christopher Duggan; Geoffrey A Weinberg; Lori Bechard; Lauren Furuta; Jeanne Nicchitta; Sherwood L Gorbach; Abby Shevitz
Journal:  J Pediatr       Date:  2008-06-09       Impact factor: 4.406

10.  Richness of human gut microbiome correlates with metabolic markers.

Authors:  Emmanuelle Le Chatelier; Trine Nielsen; Junjie Qin; Edi Prifti; Falk Hildebrand; Gwen Falony; Mathieu Almeida; Manimozhiyan Arumugam; Jean-Michel Batto; Sean Kennedy; Pierre Leonard; Junhua Li; Kristoffer Burgdorf; Niels Grarup; Torben Jørgensen; Ivan Brandslund; Henrik Bjørn Nielsen; Agnieszka S Juncker; Marcelo Bertalan; Florence Levenez; Nicolas Pons; Simon Rasmussen; Shinichi Sunagawa; Julien Tap; Sebastian Tims; Erwin G Zoetendal; Søren Brunak; Karine Clément; Joël Doré; Michiel Kleerebezem; Karsten Kristiansen; Pierre Renault; Thomas Sicheritz-Ponten; Willem M de Vos; Jean-Daniel Zucker; Jeroen Raes; Torben Hansen; Peer Bork; Jun Wang; S Dusko Ehrlich; Oluf Pedersen
Journal:  Nature       Date:  2013-08-29       Impact factor: 49.962

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