Literature DB >> 8458794

Age-related differences in body composition by hydrodensitometry and dual-energy X-ray absorptiometry.

D B Snead1, S J Birge, W M Kohrt.   

Abstract

To determine whether percent body fat (%BF) is overestimated in older people by hydrodensitometry (HD) because of an age-related decrease in bone mineral content (BMC), body composition of 113 women and 72 men (21-81 yr) was assessed by HD and dual-energy X-ray absorptiometry (DEXA). DEXA provides an estimate of %BF adjusted for differences in BMC. HD %BF and DEXA %BF were not different in young people [21-39 yr; 17.6 +/- 6.4 (SD) vs. 17.6 +/- 7.2%, NS], were slightly, but significantly, different in middle-aged people (40-59 yr; 25.5 +/- 6.4 vs. 24.1 +/- 6.7%, P < 0.05), and showed the largest disparity in older people (> or = 60 yr; 34.9 +/- 7.9 vs. 30.8 +/- 8.7%, P < 0.05). The discrepancy in older people was apparently not due to mineral loss, however, inasmuch as correction of HD %BF for variance in BMC as a fraction of fat-free mass resulted in only small adjustments (approximately 1%) of %BF. Assessment of DEXA %BF was further evaluated in nine subjects with packets of lard (2-3 kg) overlying either the thigh or the trunk region. Only 55% of the exogenous fat was identified as fat when it was in the trunk region compared with 96% when it was positioned over the legs. These data suggest that the age-related increase in upper body adipose tissue is underestimated by DEXA.

Entities:  

Mesh:

Year:  1993        PMID: 8458794     DOI: 10.1152/jappl.1993.74.2.770

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  18 in total

1.  Comparison of different techniques to measure body composition in moderately active adolescents.

Authors:  A De Lorenzo; I Bertini; N Candeloro; L Iacopino; A Andreoli; M D Van Loan
Journal:  Br J Sports Med       Date:  1998-09       Impact factor: 13.800

2.  Hologic QDR 2000 whole-body scans: a comparison of three combinations of scan modes and analysis software.

Authors:  E Spector; A LeBlanc; L Shackelford
Journal:  Osteoporos Int       Date:  1995       Impact factor: 4.507

3.  Reliability and accuracy of segmental bioelectrical impedance analysis for assessing muscle and fat mass in older Europeans: a comparison with dual-energy X-ray absorptiometry.

Authors:  Katharina Mally; Jens Trentmann; Martin Heller; Manuela Dittmar
Journal:  Eur J Appl Physiol       Date:  2011-01-14       Impact factor: 3.078

4.  Differential effects of estrogen treatment on bone mineral density of the spine, hip, wrist and total body in late postmenopausal women.

Authors:  W M Kohrt; S J Birge
Journal:  Osteoporos Int       Date:  1995-05       Impact factor: 4.507

5.  Simulated increases in body fat and errors in bone mineral density measurements by DXA and QCT.

Authors:  Elaine W Yu; Bijoy J Thomas; J Keenan Brown; Joel S Finkelstein
Journal:  J Bone Miner Res       Date:  2012-01       Impact factor: 6.741

6.  Serum leptin concentrations in human immunodeficiency virus-infected men with low adiposity.

Authors:  K E Yarasheski; J J Zachwieja; M M Horgan; W G Powderly; J V Santiago; M Landt
Journal:  Metabolism       Date:  1997-03       Impact factor: 8.694

7.  Body Composition Assessment and Nutritional Status Evaluation in Men and Women Portuguese Centenarians.

Authors:  A Pereira da Silva; A Matos; A Valente; Â Gil; I Alonso; R Ribeiro; M Bicho; J Gorjão-Clara
Journal:  J Nutr Health Aging       Date:  2016-03       Impact factor: 4.075

8.  Prediction equations for body-fat percentage in Indian infants and young children using skinfold thickness and mid-arm circumference.

Authors:  Bandana Sen; Kaushik Bose; Saijuddin Shaikh; Dilip Mahalanabis
Journal:  J Health Popul Nutr       Date:  2010-06       Impact factor: 2.000

9.  Cross-validation of generalised body composition equations with diverse young men and women: the Training Intervention and Genetics of Exercise Response (TIGER) Study.

Authors:  Andrew S Jackson; Kenneth J Ellis; Brian K McFarlin; Mary H Sailors; Molly S Bray
Journal:  Br J Nutr       Date:  2008-08-15       Impact factor: 3.718

Review 10.  Associations between gender, age and waist circumference.

Authors:  J Stevens; E G Katz; R R Huxley
Journal:  Eur J Clin Nutr       Date:  2009-09-09       Impact factor: 4.016

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.