Literature DB >> 8387967

Techniques for the measurement of visceral fat: a practical guide.

K van der Kooy1, J C Seidell.   

Abstract

The measurement of fat distribution has become an important issue in obesity research. Numerous techniques have been developed to assess visceral fat because this fat seems to be most strongly associated with metabolic disorders. This review focuses on methods for the direct and indirect assessment of visceral fat ranging from multiple-scan computerized tomography to anthropometric measurements. The principles of techniques, their accuracy and reproducibility as well as aspects of costs and safety are discussed. Comparison of the different methods shows that imaging techniques, such as computerized tomography and magnetic resonance imaging, are the optimal techniques available for accurate assessment of visceral fat. Methods other than imaging techniques have limited potential in the measurement of changes in visceral fat deposition. Anthropometric measurements can be useful to classify subjects into different types of fat distribution for diagnosis of abdominal obesity, and for general application in epidemiological studies. The choice of a particular technique should be based on a balance of practical and financial considerations and the aim of the study. Involvement of ionizing radiation exposure may be an important element in the decision-making process.

Entities:  

Mesh:

Year:  1993        PMID: 8387967

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  93 in total

1.  Relationship between socio-economic and cultural status, psychological factors and body fat distribution in middle-aged women living in Northern Italy.

Authors:  D Cota; V Vicennati; L Ceroni; A M Morselli-Labate; R Pasquali
Journal:  Eat Weight Disord       Date:  2001-12       Impact factor: 4.652

2.  Ultrasound evaluation of visceral and subcutaneous fat reduction in morbidly obese subjects undergoing laparoscopic gastric banding, sleeve gastrectomy, and Roux-en-Y gastric bypass: a prospective comparison study.

Authors:  Ido Mizrahi; Nahum Beglaibter; Natalia Simanovsky; Natali Lioubashevsky; Haggi Mazeh; Muhammad Ghanem; Katya Chapchay; Ahmed Eid; Ronit Grinbaum
Journal:  Obes Surg       Date:  2015-06       Impact factor: 4.129

3.  Effects of intensive insulin therapy alone and in combination with pioglitazone on body weight, composition, distribution and liver fat content in patients with type 2 diabetes.

Authors:  P K Shah; S Mudaliar; A R Chang; V Aroda; M Andre; P Burke; R R Henry
Journal:  Diabetes Obes Metab       Date:  2011-06       Impact factor: 6.577

Review 4.  Adipose tissue quantification by imaging methods: a proposed classification.

Authors:  Wei Shen; ZiMian Wang; Mark Punyanita; Jianbo Lei; Ahmet Sinav; John G Kral; Celina Imielinska; Robert Ross; Steven B Heymsfield
Journal:  Obes Res       Date:  2003-01

5.  Effect of long-term whole body vibration training on visceral adipose tissue: a preliminary report.

Authors:  Dirk Vissers; An Verrijken; Ilse Mertens; Caroline Van Gils; Annemie Van de Sompel; Steven Truijen; Luc Van Gaal
Journal:  Obes Facts       Date:  2010-04-07       Impact factor: 3.942

6.  Independent effects of age-related changes in waist circumference and BMI z scores in predicting cardiovascular disease risk factors in a prospective cohort of adolescent females.

Authors:  David J Tybor; Alice H Lichtenstein; Gerard E Dallal; Stephen R Daniels; Aviva Must
Journal:  Am J Clin Nutr       Date:  2010-12-08       Impact factor: 7.045

7.  Fully automatic and nonparametric quantification of adipose tissue in fat-water separation MR imaging.

Authors:  Defeng Wang; Lin Shi; Winnie C W Chu; Miao Hu; Brian Tomlinson; Wen-Hua Huang; Tianfu Wang; Pheng Ann Heng; David K W Yeung; Anil T Ahuja
Journal:  Med Biol Eng Comput       Date:  2015-08-06       Impact factor: 2.602

8.  IL-4 and IL-6 levels and adipose tissue distribution in HIV-1 patients under antiretroviral therapy.

Authors:  S Belo; A C Santos; A Madureira; J Pereira; A Sarmento; D Carvalho; P Freitas
Journal:  J Endocrinol Invest       Date:  2015-02-27       Impact factor: 4.256

9.  Not performing an OGTT results in significant underdiagnosis of (pre)diabetes in a high risk adult Caucasian population.

Authors:  A S Meijnikman; C E M De Block; E Dirinck; A Verrijken; I Mertens; B Corthouts; L F Van Gaal
Journal:  Int J Obes (Lond)       Date:  2017-07-19       Impact factor: 5.095

10.  Common genetic variation in sFRP5 is associated with fat distribution in men.

Authors:  J K Van Camp; S Beckers; D Zegers; A Verrijken; L F Van Gaal; W Van Hul
Journal:  Endocrine       Date:  2013-11-28       Impact factor: 3.633

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