Literature DB >> 31132777

Limitations of Fat-Free Mass for the Assessment of Muscle Mass in Obesity.

Björn Jensen1, Wiebke Braun2, Corinna Geisler2, Markus Both3, Kristin Klückmann1, Manfred J Müller2, Anja Bosy-Westphal4.   

Abstract

BACKGROUND: A high amount of adipose tissue limits the accuracy of methods for body composition analysis in obesity.
OBJECTIVES: The aim was to quantify and explain differences in fat-free mass (FFM) (as an index of skeletal muscle mass, SMM) measured with bioelectrical impedance analysis (BIA), dual energy X-ray absorptiometry (DXA), air displacement plethysmography (ADP), and deuterium dilution in comparison to multicompartment models, and to improve the results of BIA for obese subjects.
METHODS: In 175 healthy subjects (87 men and 88 women, BMI 20-43.3 kg/m2, 18-65 years), FFM measured by these methods was compared with results from a 3- (3C) and a 4-compartment (4C) model. FFM4C was compared with SMM measured by magnetic resonance imaging.
RESULTS: BIA and DXA overestimated and ADP underestimated FFM in comparison to 3C and 4C models with increasing BMI (all p < 0.001). -Differences were largest for DXA. In obesity, BIA results were improved: valuecorrected = -valueuncorrected - a(BMI - 30 kg/m2), a = 0.256 for FFM and a = 0.298 for SMM. SMM accounts for 45% of FFM in women and 49% in men.
CONCLUSIONS: In obesity, the use of FFM is limited by a systematic error of reference methods. In addition, SMM accounts for about 50% of FFM only. Corrected measurement of SMM by BIA can overcome these drawbacks.
© 2019 The Author(s) Published by S. Karger AG, Basel.

Entities:  

Keywords:  Bioelectrical impedance analysis; Fat-free mass; Four-compartment model; Sarcopenia; Skeletal muscle mass

Mesh:

Year:  2019        PMID: 31132777      PMCID: PMC6696776          DOI: 10.1159/000499607

Source DB:  PubMed          Journal:  Obes Facts        ISSN: 1662-4025            Impact factor:   3.942


  19 in total

1.  Differences in Physical Fitness and Body Composition Between Active and Sedentary Adolescents: A Systematic Review and Meta-Analysis.

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2.  Definition and Diagnostic Criteria for Sarcopenic Obesity: ESPEN and EASO Consensus Statement.

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Journal:  Obes Facts       Date:  2022-02-23       Impact factor: 4.807

3.  Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study.

Authors:  Pawel Macek; Malgorzata Biskup; Malgorzata Terek-Derszniak; Michal Stachura; Halina Krol; Stanislaw Gozdz; Marek Zak
Journal:  Diabetes Metab Syndr Obes       Date:  2020-05-12       Impact factor: 3.168

4.  Prospective multicenter study on personalized and optimized MDCT contrast protocols: results on liver enhancement.

Authors:  F Zanca; H G Brat; P Pujadas; D Racine; B Dufour; D Fournier; B Rizk
Journal:  Eur Radiol       Date:  2021-04-29       Impact factor: 5.315

5.  Iron Beats Electricity: Resistance Training but Not Whole-Body Electromyostimulation Improves Cardiometabolic Health in Obese Metabolic Syndrome Patients during Caloric Restriction-A Randomized-Controlled Study.

Authors:  Dejan Reljic; Hans J Herrmann; Markus F Neurath; Yurdagül Zopf
Journal:  Nutrients       Date:  2021-05-13       Impact factor: 5.717

6.  Adiposity reduces the risk of osteoporosis in Chinese rural population: the Henan rural cohort study.

Authors:  Huiling Tian; Jun Pan; Dou Qiao; Xiaokang Dong; Ruiying Li; Yikang Wang; Runqi Tu; Tanko Abdulai; Xiaotian Liu; Jian Hou; Gongyuan Zhang; Chongjian Wang
Journal:  BMC Public Health       Date:  2020-03-04       Impact factor: 3.295

7.  Dietary acid-base load and its association with risk of osteoporotic fractures and low estimated skeletal muscle mass.

Authors:  Richard P G Hayhoe; Asmaa Abdelhamid; Robert N Luben; Kay-Tee Khaw; Ailsa A Welch
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8.  Associations of changes in fat free mass with risk for type 2 diabetes: Hispanic Community Health Study/Study of Latinos.

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Journal:  Diabetes Res Clin Pract       Date:  2020-11-23       Impact factor: 5.602

9.  Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?

Authors:  Chih-Yu Hsu; Liang-Sien Chen; I-Jen Chang; Wei-Ching Fang; Sun-Weng Huang; Rong-Ho Lin; Steve Wen-Neng Ueng; Hai-Hua Chuang
Journal:  Children (Basel)       Date:  2021-05-31

Review 10.  Reference Values for Skeletal Muscle Mass - Current Concepts and Methodological Considerations.

Authors:  Carina O Walowski; Wiebke Braun; Michael J Maisch; Björn Jensen; Sven Peine; Kristina Norman; Manfred J Müller; Anja Bosy-Westphal
Journal:  Nutrients       Date:  2020-03-12       Impact factor: 5.717

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