Literature DB >> 11042539

Differences of subcutaneous adipose tissue topography in type-2 diabetic (NIDDM) women and healthy controls.

E Tafeit1, R Möller, T R Pieber, K Sudi, G Reibnegger.   

Abstract

Women suffering from type-2 diabetes mellitus (non-insulin-dependent diabetes mellitus [NIDDM]) have more total body fat and upper body obesity compared with healthy controls. However, the standard measurement methods have disadvantages such as radiological burden, lack of precision, or high time consumption. A new optical device, the Lipometer, enables the noninvasive, quick, and save determination of the thickness of subcutaneous adipose tissue layers at any given site of the human body. The specification of 15 evenly distributed body sites allows the precise measurement of subcutaneous body fat distribution, so-called subcutaneous adipose tissue topography (SAT-Top). SAT-Tops of 20 women with clinically proven NIDDM and 122 healthy controls matched by age group were measured. In this paper, we describe the precise SAT-Top differences of these two groups and present the multidimensional SAT-Top information condensed in a two-dimensional factor plot and in a response plot of an artificial neural network. NIDDM women provide significantly lower leg SAT-Top and significantly higher upper trunk SAT-Top development ("apple"-type) compared with their healthy controls. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 11042539     DOI: 10.1002/1096-8644(200011)113:3<381::AID-AJPA8>3.0.CO;2-T

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  6 in total

1.  Subcutaneous adipose tissue topography and metabolic disturbances in polycystic ovary syndrome.

Authors:  Elisabeth Wehr; Reinhard Möller; Renate Horejsi; Albrecht Giuliani; Daisy Kopera; Natascha Schweighofer; Andrea Groselj-Strele; Thomas R Pieber; Barbara Obermayer-Pietsch
Journal:  Wien Klin Wochenschr       Date:  2009       Impact factor: 1.704

2.  Perception of health from facial cues.

Authors:  Audrey J Henderson; Iris J Holzleitner; Sean N Talamas; David I Perrett
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-05-05       Impact factor: 6.237

3.  Altered body composition in type 2 diabetes mellitus.

Authors:  S Heshka; A Ruggiero; G A Bray; J Foreyt; S E Kahn; C E Lewis; M Saad; A V Schwartz
Journal:  Int J Obes (Lond)       Date:  2008-01-29       Impact factor: 5.095

4.  Phenotypic heterogeneity of latent autoimmune diabetes in adults identified by body composition analysis.

Authors:  Giovanni Mario Pes; Alessandro Palmerio Delitala; Giuseppe Delitala; Alessandra Errigo; Salvatore Costantino; Giuseppe Fanciulli
Journal:  Diabetol Metab Syndr       Date:  2014-11-25       Impact factor: 3.320

5.  Detecting body fat-A weighty problem BMI versus subcutaneous fat patterns in athletes and non-athletes.

Authors:  Renate Kruschitz; Sandra J Wallner-Liebmann; Michael J Hamlin; Maximilian Moser; Bernhard Ludvik; Wolfgang J Schnedl; Erwin Tafeit
Journal:  PLoS One       Date:  2013-08-26       Impact factor: 3.240

6.  Facial appearance reveals immunity in African men.

Authors:  Khutso G Phalane; Catherine Tribe; Helen C Steel; Moloko C Cholo; Vinet Coetzee
Journal:  Sci Rep       Date:  2017-08-07       Impact factor: 4.379

  6 in total

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