Literature DB >> 3819239

Anthropometric and computerized tomographic measurements of lower extremity lean body mass.

D C Buckley, K A Kudsk, B S Rose, P Fatzinger, C A Koetting, M Schlatter.   

Abstract

The loss of lean muscle mass is one of the hallmarks of protein-calorie malnutrition. Anthropometry is a standardized technique used to assess the response of muscle mass to nutrition therapy by quantifying the muscle and fat compartments. That technique does not accurately reflect actual limb composition, whereas computerized tomography does. Twenty lower extremities on randomly chosen men and women patients were evaluated by anthropometry and computerized tomography. Total area, muscle plus bone area, total volume, and muscle plus bone volume were correlated, using Heymsfield's equation and computerized tomography-generated areas. Anthropometrics overestimated total and muscle plus bone cross-sectional areas at almost every level. Anthropometry overestimated total area and total volume by 5% to 10% but overestimated muscle plus bone area and muscle plus bone volume by as much as 40%. Anthropometry, while easily performed and useful in large population groups for epidemiological studies, offers a poor assessment of lower extremity composition. On the other hand, computerized tomography is also easily performed and, while impractical for large population groups, does offer an accurate assessment of the lower extremity tissue compartments and is an instrument that might be used in research on lean muscle mass.

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Year:  1987        PMID: 3819239

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  3 in total

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Journal:  Eur J Appl Physiol       Date:  2003-10-21       Impact factor: 3.078

Review 2.  Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.

Authors:  Aldo Scafoglieri; Jan Pieter Clarys; Erik Cattrysse; Ivan Bautmans
Journal:  Aging Dis       Date:  2013-12-15       Impact factor: 6.745

3.  Are body circumferences able to predict strength, muscle mass and bone characteristics in obesity? A preliminary study in women.

Authors:  Valentina Cavedon; Chiara Milanese; Carlo Zancanaro
Journal:  Int J Med Sci       Date:  2020-03-15       Impact factor: 3.738

  3 in total

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