Literature DB >> 28777477

Prediction and Validation of DXA-Derived Appendicular Fat-Free Adipose Tissue by a Single Ultrasound Image of the Forearm in Japanese Older Adults.

Takashi Abe1, Jeremy P Loenneke2, Robert S Thiebaud3, Eiji Fujita1, Takuya Akamine1,2, Mark Loftin2.   

Abstract

OBJECTIVES: To develop regression-based equations for estimating dual-energy x-ray absorptiometry (DXA) derived appendicular fat-free adipose tissue (FFAT) using a single ultrasound image in the forearm, and to investigate the validity of those equations to calculate FFAT-free appendicular lean mass (aLM-minus-FFATappendicular ) in 311 Japanese adults aged 60 to 79 years.
METHODS: Subjects were randomly separated into two groups: 215 in the model-development group (91 men and 124 women) and 96 in the cross-validation group (42 men and 54 women). Appendicular fat mass and aLM were measured by the DXA, and subcutaneous adipose tissue (AT-forearm) and muscle (MT-ulna) thicknesses were measured by ultrasound. Appendicular FFAT was calculated based on the results of a previous study (appendicular FFAT = appendicular fat mass/0.85 x 0.15). The aLM was estimated from MT-ulna using a previously published equation (aLM = 4.89 x MT-ulna x body height - 9.15). Stepwise linear regression analysis was used to determine predictive models for DXA-derived appendicular FFAT from AT-forearm, sex, age, and anthropometrical variables. The best ultrasound prediction equation for estimation of appendicular FFAT was developed and then cross-validated in a subsample of older adults.
RESULTS: There was no significant difference between the DXA-derived and ultrasound-predicted aLM-minus-FFATappendicular . A strong correlation was observed between the DXA-derived and ultrasound-predicted aLM-minus-FFATappendicular (r = 0.935, P < .001). Bland-Altman analysis did not indicate a bias in the prediction of the aLM-minus-FFATappendicular for the validation group.
CONCLUSIONS: Our results indicated that a single ultrasound forearm measurement can be used to accurately estimate DXA-derived aLM-minus-FFATappendicular in Japanese older adults, which may be advantageous for community-based physical examinations.
© 2017 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  B-mode ultrasound; fat-free component; forearm muscle thickness; musculoskeletal; skeletal muscle mass; soft tissue masses

Mesh:

Year:  2017        PMID: 28777477     DOI: 10.1002/jum.14343

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  4 in total

1.  Comparison between handheld ultrasound and regional and whole-body dual energy x-ray absorptiometry (DXA) for body fat assessment.

Authors:  Sandra L Gomez-Perez; Yanyu Zhang; Marina Mourtzakis; Lisa Tussing-Humphreys; Jason Ridlon; H Rex Gaskins; Ece Mutlu
Journal:  Clin Nutr ESPEN       Date:  2021-10-12

2.  The use of ultrasound for the estimation of muscle mass: one site fits most?

Authors:  Takashi Abe; Jeremy P Loenneke; Robert S Thiebaud
Journal:  J Cachexia Sarcopenia Muscle       Date:  2017-11-16       Impact factor: 12.910

3.  Response to: "The use of ultrasound for the estimation of muscle mass: one site fits most?"

Authors:  Willemke Nijholt; Harriët Jager-Wittenaar; Aldo Scafoglieri; Johannes S M Hobbelen; Cees van der Schans
Journal:  J Cachexia Sarcopenia Muscle       Date:  2018-03-23       Impact factor: 12.910

Review 4.  Application of ultrasound for muscle assessment in sarcopenia: 2020 SARCUS update.

Authors:  Stany Perkisas; Sophie Bastijns; Stéphane Baudry; Jürgen Bauer; Charlotte Beaudart; David Beckwée; Alfonso Cruz-Jentoft; Jerzy Gasowski; Hans Hobbelen; Harriët Jager-Wittenaar; Agnieszka Kasiukiewicz; Francesco Landi; Magdalena Małek; Ester Marco; Anna Maria Martone; Ana Merello de Miguel; Karolina Piotrowicz; Elisabet Sanchez; Dolores Sanchez-Rodriguez; Aldo Scafoglieri; Maurits Vandewoude; Veronique Verhoeven; Zyta Beata Wojszel; Anne-Marie De Cock
Journal:  Eur Geriatr Med       Date:  2021-01-02       Impact factor: 1.710

  4 in total

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