Literature DB >> 3985138

Comparison of body composition in middle-aged and elderly males using computed tomography.

G A Borkan, D E Hults, S G Gerzof, A H Robbins.   

Abstract

Computed tomography (CT) scans were taken of 21 middle-aged men (mean age 46.3 years) and 20 older men (mean age 69.4 years) to measure differences in body composition with age. Overall, the older men weighed 8.2 kg less than the middle-aged men, and this difference was primarily the result of their having less lean tissue. Although fat mass (by whole body potassium counting) was only slightly less in older men, there were distributional differences in fat between the age groups. Total abdomen adipose tissue area (from CT) was similar in both groups, although the subcutaneous portion of the abdomen adipose tissue was less in the older men, and they had correspondingly more adipose tissue within the abdominal cavity. Muscle areas of the leg and arm were significantly less in the older men, as were all lean tissues of the abdomen and chest. When these data were corrected for differences in body weight with age, the results were still significant, suggesting a centripetalization and internalization of fat with age. Causes of this apparent fat redistribution and decrease of lean tissue with age were not revealed by this study and are presently unknown.

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Year:  1985        PMID: 3985138     DOI: 10.1002/ajpa.1330660306

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


  11 in total

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Review 2.  Techniques of measurement of body composition. Part II.

Authors:  D A Brodie
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Review 3.  Strength training as a countermeasure to aging muscle and chronic disease.

Authors:  Ben F Hurley; Erik D Hanson; Andrew K Sheaff
Journal:  Sports Med       Date:  2011-04-01       Impact factor: 11.136

4.  Association of fetuin-a with incident diabetes mellitus in community-living older adults: the cardiovascular health study.

Authors:  Joachim H Ix; Mary L Biggs; Kenneth J Mukamal; Jorge R Kizer; Susan J Zieman; David S Siscovick; Dariush Mozzaffarian; Majken K Jensen; Lauren Nelson; Neil Ruderman; Luc Djousse
Journal:  Circulation       Date:  2012-04-17       Impact factor: 29.690

5.  Fetuin-A and change in body composition in older persons.

Authors:  Joachim H Ix; Christina L Wassel; Glenn M Chertow; Annemarie Koster; Karen C Johnson; Frances A Tylavsky; Jane A Cauley; Steven R Cummings; Tamara B Harris; Michael G Shlipak
Journal:  J Clin Endocrinol Metab       Date:  2009-10-09       Impact factor: 5.958

6.  The normal limits, subclinical significance, related metabolic derangements and distinct biological effects of body site-specific adiposity in relatively healthy population.

Authors:  Chun-Ho Yun; Hiram G Bezerra; Tung-Hsin Wu; Fei-Shih Yang; Chuan-Chuan Liu; Yih-Jer Wu; Jen-Yuan Kuo; Chung-Lieh Hung; Jason Jeun-Shenn Lee; Charles Jia-Yin Hou; Hung-I Yeh; Chris T Longenecker; Ricardo C Cury
Journal:  PLoS One       Date:  2013-04-19       Impact factor: 3.240

7.  A model for estimating body shape biological age based on clinical parameters associated with body composition.

Authors:  Chul-Young Bae; Young Gon Kang; Young-Sung Suh; Jee Hye Han; Sung-Soo Kim; Kyung Won Shim
Journal:  Clin Interv Aging       Date:  2012-12-28       Impact factor: 4.458

8.  Pancreatic function, type 2 diabetes, and metabolism in aging.

Authors:  Zhenwei Gong; Radhika H Muzumdar
Journal:  Int J Endocrinol       Date:  2012-05-17       Impact factor: 3.257

Review 9.  Modelling age-related metabolic disorders in the mouse.

Authors:  Michelle E Goldsworthy; Paul K Potter
Journal:  Mamm Genome       Date:  2014-08-15       Impact factor: 2.957

10.  Attenuated age-impact on systemic inflammatory markers in the presence of a metabolic burden.

Authors:  Anuurad Erdembileg; Annie Mirsoian; Byambaa Enkhmaa; Wei Zhang; Laurel A Beckett; William J Murphy; Lars F Berglund
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

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