scholarly journals Comparison between Dual-Energy X-ray Absorptiometry and Bioelectrical Impedance Analyses for Accuracy in Measuring Whole Body Muscle Mass and Appendicular Skeletal Muscle Mass

Nutrients ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 738 ◽  
Author(s):  
Seo Lee ◽  
Soyeon Ahn ◽  
Young Kim ◽  
Myoung Ji ◽  
Kyoung Kim ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance ◽  
Dual Energy ◽  
Whole Body ◽  
X Ray ◽  
Body Muscle ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Diagnosing Sarcopenia in Male Patients With Cirrhosis by Dual-Energy X-Ray Absorptiometry Estimates of Appendicular Skeletal Muscle Mass

2017 ◽  
pp. 014860711770140 ◽  
Author(s):  
Giliane Belarmino ◽  
Maria Cristina Gonzalez ◽  
Priscila Sala ◽  
Raquel Susana Torrinhas ◽  
Wellington Andraus ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
X Ray ◽  
Appendicular Skeletal Muscle ◽  
Male Patients ◽  
Appendicular Skeletal Muscle Mass

Development of new adjusted equations to estimate the skeletal muscle mass stratified by nutritional status for patients with rheumatoid arthritis: a methodological study

2021 ◽  
Vol 23 ◽  
Author(s):  
Rafaela Cavalheiro do Espírito Santo ◽  
Lidiane Isabel Filippin ◽  
Priscila Schimidt Lora ◽  
Ricardo Machado Xavier
Keyword(s):  
Rheumatoid Arthritis ◽  
Skeletal Muscle ◽  
Nutritional Status ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Whole Body ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Our objective was to adjust and validate predictive equations for appendicular skeletal muscle mass (ASM) in patients with Rheumatoid Arthritis (RA). Whole-body DXA data in 90 RA patients were used for measurement of ASM (kg). The prediction equation anthropometric for muscle mass proposed by Lee et al was used to generate estimates of ASM. Appendicular skeletal muscle mass index (ASMI, kg/m2) was calculated. Frequency analysis, Paired student's t-test, Linear regression, Pearson correlation, Intraclass correlation coefficients, and Bland-Altman scatter were performed. The statistical significance considered was p<0.05. Lee’s equation was overestimated by 30% when compared with ASMI by DXA. When stratified by nutritional status, Lee’s equation overestimated the ASMI by 30% in overweight patients and by 50% in obese patients when compared with DXA (p<0.05). These adjusted equations estimated values for ASMI were closer to those obtained by DXA than those estimated by the original Lee’s equation (p<0.05). This greater concordance was confirmed by the observed interclass correlation coefficients and by Bland-Altman scatter graphs. In conclusion, the prediction of muscle mass in RA patients may be performed with equations that consider the nutritional status of patients.

Appendicular skeletal muscle mass: effects of age, gender, and ethnicity

1997 ◽  
Vol 83 (1) ◽  
pp. 229-239 ◽  
Author(s):  
Dympna Gallagher ◽  
Marjolein Visser ◽  
Ronald E. De Meersman ◽  
Dennis Sepúlveda ◽  
Richard N. Baumgartner ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
African Americans ◽  
Multiple Regression ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Whole Body ◽  
Mass Effects ◽  
Wide Range ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Gallagher, Dympna, Marjolein Visser, Ronald E. De Meersman, Dennis Sepúlveda, Richard N. Baumgartner, Richard N. Pierson, Tamara Harris, and Steven B. Heymsfield. Appendicular skeletal muscle mass: effects of age, gender, and ethnicity. J. Appl. Physiol. 83(1): 229–239, 1997.—This study tested the hypothesis that skeletal muscle mass is reduced in elderly women and men after adjustment first for stature and body weight. The hypothesis was evaluated by estimating appendicular skeletal muscle mass with dual-energy X-ray absorptiometry in a healthy adult cohort. A second purpose was to test the hypothesis that whole body40K counting-derived total body potassium (TBK) is a reliable indirect measure of skeletal muscle mass. The independent effects on both appendicular skeletal muscle and TBK of gender ( n = 148 women and 136 men) and ethnicity ( n = 152 African-Americans and 132 Caucasians) were also explored. Main findings were 1) for both appendicular skeletal muscle mass (total, leg, and arm) and TBK, age was an independent determinant after adjustment first by stepwise multiple regression for stature and weight (multiple regression model r 2 = ∼0.60); absolute decrease with greater age in men was almost double that in women; significantly larger absolute amounts were observed in men and African-Americans after adjustment first for stature, weight, and age; and >80% of within-gender or -ethnic group between-individual component variation was explained by stature, weight, age, gender, and ethnicity differences; and 2) most of between-individual TBK variation could be explained by total appendicular skeletal muscle ( r 2 = 0.865), whereas age, gender, and ethnicity were small but significant additional covariates (total r 2 = 0.903). Our study supports the hypotheses that skeletal muscle is reduced in the elderly and that TBK provides a reasonable indirect assessment of skeletal muscle mass. These findings provide a foundation for investigating skeletal muscle mass in a wide range of health-related conditions.

scholarly journals Appendicular skeletal muscle mass and quality estimated by bioelectrical impedance analysis in the assessment of frailty syndrome risk in older individuals

2021 ◽  
Author(s):  
Małgorzata Kołodziej ◽  
Anna Sebastjan ◽  
Zofia Ignasiak
Keyword(s):  
Skeletal Muscle ◽  
Muscle Mass ◽  
Bioelectrical Impedance Analysis ◽  
Skeletal Muscle Mass ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Muscle Quality ◽  
Elderly Persons ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Background and aim The rising aging index of many populations necessitates the continuous evolution of geriatric assessment methods, especially the ones used to identify frailty and the risk of frailty. An appropriately early diagnosis of adverse changes in skeletal muscles can reduce the risk of functional limitations in elderly persons. The aim of this study was to assess the correlation between the appendicular skeletal muscle mass and quality, estimated by the bioelectrical impedance analysis method, and the risk of prevalence of the pre-frailty state in elderly persons. Methods One-thousand-and-fifteen subjectively healthy persons aged 60–87 years were tested. Anthropometric measurements and physical fitness and activity measurements were carried out and the frailty phenotype was evaluated. Appendicular skeletal muscle mass was estimated using the bioelectrical impedance analysis method. Muscle quality was assessed through an index correcting strength relative to muscle mass and through the impedance phase angle. The correlation between the muscle mass and quality estimating parameters and the probability of identifying pre-frailty was checked using multiple logistic regression. Results The prevalence of pre-frailty was 38%. The pre-frail persons were found to have a significantly lower muscle mass and quality than the non-frail persons, with the difference in the case of the muscle quality index nearly twice larger than for the muscle mass index. A significant logit model was obtained for pre-frailty prevalence, which was strongly dependent on the appendicular skeletal muscle mass (adjusted odds ratio (OR): 0.43, 95% CI 0.36–0.52, p < 0.001) and functional quality (adjusted OR: 0.26, 95% CI 0.18–0.38, p < 0.001) and less on age (adjusted OR: 1.10, 95% CI 1.07–1.13, p < 0.001). Conclusion The strong correlation between the frailty phenotype and appendicular skeletal muscle mass and functional quality suggests that the two variables should be included in routine geriatric assessment with regard to frailty.

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