Literature DB >> 29288247

Dual-energy X-ray absorptiometry visceral adipose tissue estimates: reproducibility and impact of pre-assessment diet.

Grant M Tinsley1, Jeffrey S Forsse2, Elisa Morales2, Peter W Grandjean2.   

Abstract

We examined the reproducibility of dual-energy x-ray absorptiometry (DXA) visceral adipose tissue (VAT) estimates as well as the impact of pre-assessment diet. In a counterbalanced design, 41 adults received 6 DXA scans, while consuming standardized high- and low-carbohydrate (LC) diets. The impact of pre-assessment diet was examined via repeated-measures analysis of variance and reproducibility of VAT estimates was evaluated by technical error of measurement (TEM) and s.e. of a single determination (SESD). VAT area, mass and volume were acutely decreased by ~ 6.5% after the LC diet (P ≤ 0.001), but not the high-carbohydrate diet (P > 0.3). Differences persisted after an overnight fast. TEMs for VAT area, mass and volume were < 5 cm2, ≤ 0.2 kg and < 25 cm3. SESDs for all VAT variables were ≤ 5.5%. In conclusion, DXA VAT estimates exhibit good reproducibility in controlled conditions, but may be impacted by pre-assessment diet.

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Year:  2017        PMID: 29288247     DOI: 10.1038/s41430-017-0038-1

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  3 in total

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Authors:  Elijah K Goldberg; Ellen B Fung
Journal:  J Clin Densitom       Date:  2019-03-20       Impact factor: 2.617

2.  The Benefits of Utilizing Total Body Composition as a Predictor of Cardiorespiratory Fitness Based on Age: A Pilot Study.

Authors:  Jeffery L Heileson; Zacharias Papadakis; Ahmed Ismaeel; Kathleen A Richardson; Ricardo Torres; LesLee Funderburk; Andrew Gallucci; Panagiotis Koutakis; Jeffrey S Forsse
Journal:  Int J Environ Res Public Health       Date:  2022-05-09       Impact factor: 4.614

3.  Whole-body dual-energy X-ray absorptiometry demonstrates better reliability than segmental body composition analysis in college-aged students.

Authors:  Petr Kutáč; Václav Bunc; Martin Sigmund
Journal:  PLoS One       Date:  2019-04-22       Impact factor: 3.240

  3 in total

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