Literature DB >> 2767882

Regional distribution of muscle and fat mass in men--new insight into the risk of abdominal obesity using computed tomography.

J C Seidell1, P Björntorp, L Sjöström, R Sannerstedt, M Krotkiewski, H Kvist.   

Abstract

We studied 24 healthy men (25-50 years old) covering a wide range of fatness (body mass index range: 21-34 kg/m2) and fat distribution (waist/hip range: 0.75-1.06). Computed tomography scans were taken at five levels (thigh, hip, waist, arm, and liver) from which fat, muscle and bone areas were calculated. Both waist/hip and BMI were correlated with fat areas in the thigh, arm and waist scans. BMI showed stronger correlations with peripheral fat areas, whereas waist/hip showed stronger correlations with fat areas in the waist scan (particularly with visceral fat area: r = 0.88, P less than 0.001). BMI was correlated with muscle and bone areas in the thigh scan. In multiple regression BMI was, independently of waist/hip and age, positively correlated with fat areas in the arm, thigh, and waist (not with visceral fat) and muscle and bone areas in the thigh. Waist/hip was independently of BMI and age correlated with fat areas in the arm and waist, including visceral fat area (but not with fat areas in the thigh). Moreover, waist/hip showed an independent negative correlation with muscle area in the thigh, muscle endurance and physical activity. Serum triglycerides, plasma insulin, glucose, uric acid and diastolic and systolic blood pressure were associated with visceral fat area but also to anthropometric indicators of abdominal fat distribution (especially waist/hip ratio). Liver attenuation, but not the liver/spleen attenuation ratio, was associated with some liver enzymes and BMI but not with waist/hip or metabolic parameters. We conclude that a higher BMI is associated with increased central and peripheral fat stores (but not visceral fat) and increased thigh muscle whereas waist/hip is primarily associated with increased central fat stores (noteably with visceral fat), decreased thigh muscle and reduced physical fitness. It is suggested that physical training might be an important element in the treatment of abdominal obesity in men.

Entities:  

Mesh:

Year:  1989        PMID: 2767882

Source DB:  PubMed          Journal:  Int J Obes


  23 in total

1.  Body fat distribution in the Finnish population: environmental determinants and predictive power for cardiovascular risk factor levels.

Authors:  B Marti; J Tuomilehto; V Salomaa; L Kartovaara; H J Korhonen; P Pietinen
Journal:  J Epidemiol Community Health       Date:  1991-06       Impact factor: 3.710

2.  Central obesity and cardiovascular outcomes in patients with acute coronary syndrome: observations from the MERLIN-TIMI 36 trial.

Authors:  Mitul B Kadakia; Caroline S Fox; Benjamin M Scirica; Sabina A Murphy; Marc P Bonaca; David A Morrow
Journal:  Heart       Date:  2011-08-23       Impact factor: 5.994

3.  Effects of combination of change in visceral fat and thigh muscle mass on the development of type 2 diabetes.

Authors:  Seung Jin Han; Soo-Kyung Kim; Wilfred Y Fujimoto; Steven E Kahn; Donna L Leonetti; Edward J Boyko
Journal:  Diabetes Res Clin Pract       Date:  2017-10-12       Impact factor: 5.602

4.  Reproducible MRI measurement of adipose tissue volumes in genetic and dietary rodent obesity models.

Authors:  David H Johnson; Chris A Flask; Paul R Ernsberger; Wilbur C K Wong; David L Wilson
Journal:  J Magn Reson Imaging       Date:  2008-10       Impact factor: 4.813

Review 5.  Putative environmental-endocrine disruptors and obesity: a review.

Authors:  Mai A Elobeid; David B Allison
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2008-10       Impact factor: 3.243

6.  Normal-Weight Central Obesity: Implications for Total and Cardiovascular Mortality.

Authors:  Karine R Sahakyan; Virend K Somers; Juan P Rodriguez-Escudero; David O Hodge; Rickey E Carter; Ondrej Sochor; Thais Coutinho; Michael D Jensen; Véronique L Roger; Prachi Singh; Francisco Lopez-Jimenez
Journal:  Ann Intern Med       Date:  2015-11-10       Impact factor: 25.391

7.  Endocrine disruptors and obesity: an examination of selected persistent organic pollutants in the NHANES 1999-2002 data.

Authors:  Mai A Elobeid; Miguel A Padilla; David W Brock; Douglas M Ruden; David B Allison
Journal:  Int J Environ Res Public Health       Date:  2010-07-23       Impact factor: 3.390

8.  Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women.

Authors:  Farzad Hadaegh; Gita Shafiee; Fereidoun Azizi
Journal:  Ann Saudi Med       Date:  2009 May-Jun       Impact factor: 1.526

9.  Mendelian Randomization Study of Obesity and Cerebrovascular Disease.

Authors:  Sandro Marini; Jordi Merino; Bailey E Montgomery; Rainer Malik; Catherine L Sudlow; Martin Dichgans; Jose C Florez; Jonathan Rosand; Dipender Gill; Christopher D Anderson
Journal:  Ann Neurol       Date:  2020-02-19       Impact factor: 10.422

10.  Genetic Association of Waist-to-Hip Ratio With Cardiometabolic Traits, Type 2 Diabetes, and Coronary Heart Disease.

Authors:  Connor A Emdin; Amit V Khera; Pradeep Natarajan; Derek Klarin; Seyedeh M Zekavat; Allan J Hsiao; Sekar Kathiresan
Journal:  JAMA       Date:  2017-02-14       Impact factor: 56.272

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