Literature DB >> 16385759

Adipose tissue and metabolic effects: new insight into measurements.

A Pietrobelli1, A L Boner, L Tatò.   

Abstract

BACKGROUND: Epidemiologic evidence supports the theory that the relation between obesity and disease risk begins early in life, and those risk factors for disease track, or remain at a similar level, with advancing age, growth, and development. The fat tissue, once considered as a depot for energy substrate, is a metabolically active tissue. The fat cells produce agents that regulate a host of physiological processes directly related to carbohydrate and fat metabolism and the development of cardiovascular disease and type 2 diabetes. AIM: To discuss fat tissue, and fat distribution in relation to body composition measurements, with particular emphasis on imaging techniques (ie, dual energy X-ray absorptiometry (DXA), computed tomography (CT), and magnetic resonance imaging (MRI)) and its relationship with metabolic and cardiovascular heath variables mediated by the metabolic characteristics of the adipose tissue. DISCUSSION: In sum, the medical and physiological health complications of childhood obesity are well documented. Imaging methods are considered the most accurate means available for in vivo quantification at the tissue-organ level and the methods of choice for calibration of field methods designed to measure adipose tissue.

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Year:  2005        PMID: 16385759     DOI: 10.1038/sj.ijo.0803079

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  11 in total

1.  The association between perceived discrimination and obesity in a population-based multiracial and multiethnic adult sample.

Authors:  Haslyn E R Hunte; David R Williams
Journal:  Am J Public Health       Date:  2008-10-15       Impact factor: 9.308

2.  Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images.

Authors:  Xiang Yan Ruan; Dympna Gallagher; Tamara Harris; Jeanine Albu; Steven Heymsfield; Patrick Kuznia; Stanley Heshka
Journal:  J Appl Physiol (1985)       Date:  2006-10-19

3.  Perivascular adipose tissue and vascular disease.

Authors:  Kathryn A Britton; Caroline S Fox
Journal:  Clin Lipidol       Date:  2011-02

4.  Predicting visceral adipose tissue by MRI using DXA and anthropometry in adolescents and young adults.

Authors:  Deepika R Laddu; Vinson R Lee; Robert M Blew; Tetsuya Sato; Timothy G Lohman; Scott B Going
Journal:  Int J Body Compos Res       Date:  2012

5.  Laser beam measurement of abdominal sagittal diameter in obese children: a validation study.

Authors:  C E Flodmark; W Shen; M Punyanitya; P Leander; J Lanke; A Pietrobelli
Journal:  Pediatr Obes       Date:  2012-09-21       Impact factor: 4.000

6.  Novel measurements of periaortic adipose tissue in comparison to anthropometric measures of obesity, and abdominal adipose tissue.

Authors:  C L Schlett; J M Massaro; S J Lehman; F Bamberg; C J O'Donnell; C S Fox; U Hoffmann
Journal:  Int J Obes (Lond)       Date:  2009-01-13       Impact factor: 5.095

Review 7.  Pediatric obesity: looking into treatment.

Authors:  Angelo Pietrobelli; Simone Rugolotto; Paolo De Cristofaro; Marcella Malavolti
Journal:  Nutrients       Date:  2009-11-30       Impact factor: 5.717

8.  Overweight and obese adolescent girls: the importance of promoting sensible eating and activity behaviors from the start of the adolescent period.

Authors:  Alwyn S Todd; Steven J Street; Jenny Ziviani; Nuala M Byrne; Andrew P Hills
Journal:  Int J Environ Res Public Health       Date:  2015-02-17       Impact factor: 3.390

9.  Infrequent breakfast consumption is associated with higher body adiposity and abdominal obesity in Malaysian school-aged adolescents.

Authors:  Abdullah Nurul-Fadhilah; Pey Sze Teo; Inge Huybrechts; Leng Huat Foo
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

10.  Association of adiposity genetic variants with menarche timing in 92,105 women of European descent.

Authors:  Lindsay Fernández-Rhodes; Ellen W Demerath; Diana L Cousminer; Ran Tao; Jill G Dreyfus; Tõnu Esko; Albert V Smith; Vilmundur Gudnason; Tamara B Harris; Lenore Launer; Patrick F McArdle; Laura M Yerges-Armstrong; Cathy E Elks; David P Strachan; Zoltán Kutalik; Peter Vollenweider; Bjarke Feenstra; Heather A Boyd; Andres Metspalu; Evelin Mihailov; Linda Broer; M Carola Zillikens; Ben Oostra; Cornelia M van Duijn; Kathryn L Lunetta; John R B Perry; Anna Murray; Daniel L Koller; Dongbing Lai; Tanguy Corre; Daniela Toniolo; Eva Albrecht; Doris Stöckl; Harald Grallert; Christian Gieger; Caroline Hayward; Ozren Polasek; Igor Rudan; James F Wilson; Chunyan He; Peter Kraft; Frank B Hu; David J Hunter; Jouke-Jan Hottenga; Gonneke Willemsen; Dorret I Boomsma; Enda M Byrne; Nicholas G Martin; Grant W Montgomery; Nicole M Warrington; Craig E Pennell; Lisette Stolk; Jenny A Visser; Albert Hofman; André G Uitterlinden; Fernando Rivadeneira; Peng Lin; Sherri L Fisher; Laura J Bierut; Laura Crisponi; Eleonora Porcu; Massimo Mangino; Guangju Zhai; Tim D Spector; Julie E Buring; Lynda M Rose; Paul M Ridker; Charles Poole; Joel N Hirschhorn; Joanne M Murabito; Daniel I Chasman; Elisabeth Widen; Kari E North; Ken K Ong; Nora Franceschini
Journal:  Am J Epidemiol       Date:  2013-04-04       Impact factor: 4.897

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