Literature DB >> 24950149

Precision of total and regional body fat estimates from dual-energy X-ray absorptiometer measurements.

L A Kaminsky1, C Ozemek, K L Williams, W Byun.   

Abstract

OBJECTIVES: To evaluate the precision of both total %fat and all the regional %fat measures acquired from both the Lunar Prodigy and Lunar iDXA software.
DESIGN: Cross-sectional study.
SETTING: University-based research laboratory. PARTICIPANTS: The sample consisted of 300 individual test records from men and women who had volunteered to participate in dual-energy x-ray absorptiometer (DXA) technician precision training studies. Subjects ranged in age from 20-84 years and in body mass index from 15.7-52.0 kg.m-2. MEASUREMENTS: A total of 27 different technicians performed three total body scan measurements on 10-15 different subjects. The Lunar Prodigy and Lunar iDXA were used for 253 and 47 precision training evaluations, respectively. The regions of interest (ROI) were automatically determined by the enCORE software (autoROI) for total body, android, gynoid, trunk, legs, and arms regions and the region %fat data were used for analyses.
RESULTS: The CV for total body %fat was 1.9% and 0.9% for the Prodigy and iDXA, respectively. CV's for %fat measures at regional sites ranged from 1.2-4.4% for the Prodigy measures and 0.9-2.4% for the iDXA measures. The ICC for both devices ranged from 0.990 to 0.999.
CONCLUSION: Monitoring the status of body composition changes with age is gaining more clinical acceptance. Thus, it is important that practitioners use measures that are both precise and accurate. The findings from the current study add support that DXA measurements can be used with a high level of confidence for serial testing of patients.

Entities:  

Mesh:

Year:  2014        PMID: 24950149     DOI: 10.1007/s12603-014-0012-8

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


  10 in total

1.  Precision of GE Lunar iDXA for the measurement of total and regional body composition in nonobese adults.

Authors:  Megan P Rothney; Francois-Pierre Martin; Yi Xia; Maurice Beaumont; Cynthia Davis; David Ergun; Laurent Fay; Fiona Ginty; Sunil Kochhar; Wynn Wacker; Serge Rezzi
Journal:  J Clin Densitom       Date:  2012-04-26       Impact factor: 2.617

2.  In vivo precision of the GE iDXA for the assessment of total body composition and fat distribution in severely obese patients.

Authors:  Tamara E Carver; Nicholas V Christou; Ross E Andersen
Journal:  Obesity (Silver Spring)       Date:  2013-05-29       Impact factor: 5.002

3.  Comparing measures of fat-free mass in overweight older adults using three different bioelectrical impedance devices and three prediction equations.

Authors:  R Ramsey; E Isenring; L Daniels
Journal:  J Nutr Health Aging       Date:  2012-01       Impact factor: 4.075

4.  In vivo precision of the GE Lunar iDXA densitometer for the measurement of total body composition and fat distribution in adults.

Authors:  K Hind; B Oldroyd; J G Truscott
Journal:  Eur J Clin Nutr       Date:  2010-09-15       Impact factor: 4.016

5.  Aging, body composition, and lifestyle: the Fels Longitudinal Study.

Authors:  S S Guo; C Zeller; W C Chumlea; R M Siervogel
Journal:  Am J Clin Nutr       Date:  1999-09       Impact factor: 7.045

6.  Comparison of skeletal muscle mass to fat-free mass ratios among different ethnic groups.

Authors:  T Abe; M G Bemben; M Kondo; Y Kawakami; T Fukunaga
Journal:  J Nutr Health Aging       Date:  2012       Impact factor: 4.075

7.  Body composition in taller individuals using DXA: A validation study for athletic and non-athletic populations.

Authors:  Diana A Santos; Luís A Gobbo; Catarina N Matias; Edio L Petroski; Ezequiel M Gonçalves; Edilson S Cyrino; Claudia S Minderico; Luís B Sardinha; Analiza M Silva
Journal:  J Sports Sci       Date:  2012-10-23       Impact factor: 3.337

8.  Longitudinal changes in body composition in older men and women: role of body weight change and physical activity.

Authors:  Virginia A Hughes; Walter R Frontera; Ronenn Roubenoff; William J Evans; Maria A Fiatarone Singh
Journal:  Am J Clin Nutr       Date:  2002-08       Impact factor: 7.045

Review 9.  Abdominal obesity: the cholesterol of the 21st century?

Authors:  Jean-Pierre Després; Benoit J Arsenault; Mélanie Côté; Amélie Cartier; Isabelle Lemieux
Journal:  Can J Cardiol       Date:  2008-09       Impact factor: 5.223

10.  Differences in precision in bone mineral density measured by SXA and DXA: the NOREPOS study.

Authors:  Lisa Forsén; Gro K Rosvold Berntsen; Haakon E Meyer; Grethe S Tell; Vinjar Fønnebø
Journal:  Eur J Epidemiol       Date:  2008-07-02       Impact factor: 8.082

  10 in total
  9 in total

1.  Diet Quality, Carotenoid Status, and Body Composition in NCAA Division I Athletes.

Authors:  Nicole Jontony; Emily B Hill; Christopher A Taylor; Laura C Boucher; Vince O'Brien; Rick Weiss; Colleen K Spees
Journal:  Am J Health Behav       Date:  2020-07-01

2.  Evaluating Muscle Mass in Survivors of Acute Respiratory Distress Syndrome: A 1-Year Multicenter Longitudinal Study.

Authors:  Kitty S Chan; Marina Mourtzakis; Lisa Aronson Friedman; Victor D Dinglas; Catherine L Hough; E Wesley Ely; Peter E Morris; Ramona O Hopkins; Dale M Needham
Journal:  Crit Care Med       Date:  2018-08       Impact factor: 7.598

3.  Randomized, four-arm, dose-response clinical trial to optimize resistance exercise training for older adults with age-related muscle atrophy.

Authors:  Michael J Stec; Anna Thalacker-Mercer; David L Mayhew; Neil A Kelly; S Craig Tuggle; Edward K Merritt; Cynthia J Brown; Samuel T Windham; Louis J Dell'Italia; C Scott Bickel; Brandon M Roberts; Kristina M Vaughn; Irina Isakova-Donahue; Gina M Many; Marcas M Bamman
Journal:  Exp Gerontol       Date:  2017-09-28       Impact factor: 4.032

4.  Cross-Calibration of GE Healthcare Lunar Prodigy and iDXA Dual-Energy X-Ray Densitometers for Bone Mineral Measurements.

Authors:  J Saarelainen; M Hakulinen; T Rikkonen; H Kröger; M Tuppurainen; H Koivumaa-Honkanen; R Honkanen; M Hujo; J S Jurvelin
Journal:  J Osteoporos       Date:  2016-04-27

5.  ACTN3 Gene and Susceptibility to Sarcopenia and Osteoporotic Status in Older Korean Adults.

Authors:  Jinkyung Cho; Inhwan Lee; Hyunsik Kang
Journal:  Biomed Res Int       Date:  2017-05-24       Impact factor: 3.411

6.  Reliability of Compartmental Body Composition Measures in Weight-Stable Adults Using GE iDXA: Implications for Research and Practice.

Authors:  Aimee L Dordevic; Maxine Bonham; Ali Ghasem-Zadeh; Alison Evans; Elizabeth Barber; Kaitlin Day; Alastair Kwok; Helen Truby
Journal:  Nutrients       Date:  2018-10-12       Impact factor: 5.717

7.  Comparison of Two DXA Systems, Hologic Horizon W and GE Lunar Prodigy, for Assessing Body Composition in Healthy Korean Adults.

Authors:  Seung Shin Park; Soo Lim; Hoyoun Kim; Kyoung Min Kim
Journal:  Endocrinol Metab (Seoul)       Date:  2021-12-16

8.  Association between classic and specific bioimpedance vector analysis and sarcopenia in older adults: a cross-sectional study.

Authors:  Ana Claudia Rossini-Venturini; Pedro Pugliesi Abdalla; Priscila Giacomo Fassini; André Pereira Dos Santos; Márcio Fernando Tasinafo Junior; Thiago Cândido Alves; Euripedes Barsanulfo Gonçalves Gomide; Tatiane Lopes de Pontes; Karina Pfrimer; Eduardo Ferriolli; Jorge Mota; Maria Reyes Beltran-Valls; Dalmo Roberto Lopes Machado
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-09-14

9.  Antibiotic exposure in infancy and development of BMI and body composition in childhood.

Authors:  Tobias Steen Sejersen; Rebecca Kofod Vinding; Jakob Stokholm; Bo Chawes; Klaus Bønnelykke; Martin Krakauer; Hans Bisgaard
Journal:  EClinicalMedicine       Date:  2019-11-27
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.