Literature DB >> 36076068

Are methods of estimating fat-free mass loss with energy-restricted diets accurate?

Steven B Heymsfield1, David S Ludwig2, Julia M W Wong2, Cassidy McCarthy3, Moonseong Heo4, John Shepherd5, Cara B Ebbeling2.   

Abstract

BACKGROUND/
OBJECTIVES: Fat-free mass (FFM) often serves as a body composition outcome variable in weight loss studies. An important assumption is that the proportions of components that make up FFM remain stable following weight loss; some body composition models rely on these "constants". This exploratory study examined key FFM component proportions before and following weight loss in two studies of participants with overweight and obesity. SUBJECTS/
METHODS: 201 men and women consumed calorie-restricted moderate- or very-low carbohydrate diets leading to 10-18% weight loss in 9-15 weeks. Measured total body fat, lean mass, bone mineral, total body water (TBW), and body weight at baseline and follow-up were used to derive FFM and its chemical proportions using a four-component model.
RESULTS: A consistent finding in both studies was a non-significant reduction in bone mineral and a corresponding increase (p < 0.001) in bone mineral/FFM; FFM density increased significantly in one group of women and in all four participant groups combined (both, p < 0.05). FFM hydration (TBW/FFM) increased in all groups of men and women, one significantly (p < 0.01), and in the combined sample (borderline, p < 0.10). The proportion of FFM as protein decreased across all groups, two significantly (p < 0.05-0.01) and in the combined sample (p < 0.05).
CONCLUSION: FFM relative proportions of chemical components may not be identical before and after short-term weight loss, an observation impacting some widely used body composition models and methods. Caution is thus needed when applying FFM as a safety signal or to index metabolic evaluations in clinical trials when these body composition approaches are used.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2022        PMID: 36076068     DOI: 10.1038/s41430-022-01203-5

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.884


  6 in total

1.  Dual-energy X-ray absorptiometry: fat estimation errors due to variation in soft tissue hydration.

Authors:  A Pietrobelli; Z Wang; C Formica; S B Heymsfield
Journal:  Am J Physiol       Date:  1998-05

Review 2.  Dual-energy X-ray absorptiometry body composition model: review of physical concepts.

Authors:  A Pietrobelli; C Formica; Z Wang; S B Heymsfield
Journal:  Am J Physiol       Date:  1996-12

3.  Density of fat-free body mass: relationship with race, age, and level of body fatness.

Authors:  M Visser; D Gallagher; P Deurenberg; J Wang; R N Pierson; S B Heymsfield
Journal:  Am J Physiol       Date:  1997-05

4.  Total body protein status assessed by different estimates of fat-free mass in adult peritoneal dialysis patients.

Authors:  D J Borovnicar; K C Wong; P G Kerr; D B Stroud; D W Xiong; B J Strauss; R C Atkins
Journal:  Eur J Clin Nutr       Date:  1996-09       Impact factor: 4.016

Review 5.  Research progress in validation of laboratory methods of assessing body composition.

Authors:  T G Lohman
Journal:  Med Sci Sports Exerc       Date:  1984-12       Impact factor: 5.411

6.  Relative expansion of extracellular fluid in obese vs. nonobese women.

Authors:  M Waki; J G Kral; M Mazariegos; J Wang; R N Pierson; S B Heymsfield
Journal:  Am J Physiol       Date:  1991-08
  6 in total

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