scholarly journals P7‐29: Muscle mass evaluation using body composition analysis for COPD patients

Respirology ◽  
2021 ◽  
Vol 26 (S3) ◽  
pp. 269-269
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Anton Faron ◽  
Alois M. Sprinkart ◽  
Daniel L. R. Kuetting ◽  
Andreas Feisst ◽  
Alexander Isaak ◽  
...  

2020 ◽  
Vol 9 (1) ◽  
pp. 47-50
Author(s):  
Irfan Niazi

Abstract This special report aims to highlight the role and practice of Body Composition Analysis in sports rehabilitation to enhance athletic performance by studying its various aspects such as fat mass, lean mass, and water content in the body. This report identified Inbody 770 as the ideal gadget for Body Composition Analysis. Fat mass analysis revealed that Body Mass Index is not an appropriate tool to determine the levels of obesity as it does not differentiate between fat mass and muscle mass, rather categorises a healthy muscular individual as obese. Furthermore, Body Composition Analysis enables to investigate the proportions of muscle mass and fat mass in a specific region as well as perform comparison analysis to identify the region of weakness and potential risk of injury. Water analysis helps to identify the cause of edema and proportions of intracellular and extracellular fluids


2021 ◽  
Vol 69 (4) ◽  
pp. e86035
Author(s):  
Renato Vidal-Linhares ◽  
Mônica Barros-Costa ◽  
Felipe Monnerat Marino-Rosa ◽  
José Carlos Do Vale-Quaresma ◽  
José Fernandes-Filho ◽  
...  

Introduction: Usually, the diagnosis of obesity is only based on body mass index (BMI), which may lead to a non-reliable body composition analysis. Objective: To analyze the body characteristics of morbidly obese (class III) women referred to bariatric surgery using the compartment model of body composition analysis. Materials and methods: Cross-sectional study conducted in 2017 in 14 morbidly obese women aged between 25 and 51 years who were undergoing clinical and physical therapy assessment prior to undergoing bariatric surgery at a university hospital in Rio de Janeiro, Brazil. Body composition analysis was performed using an octopolar bioimpedance scale. The Pearson's correlation coefficient was used to analyze the correlation between variables, with a significance level of p<0.5. Results: A high mean percentage of fat body was observed (51.2%), mainly in the trunk. BMI was correlated with total fat in kilograms (r=0.63), and muscle mass (r=0.60); besides, a moderate correlation with the waist-to-hip ratio (WHR) was found (r=0.55). WHR showed a correlation with TBF% (r=0.60) and a moderate correlation with total fat in kilograms (r=0.57). In addition, the sarcopenia index was correlated with muscle mass (r=0.79) and total body water (r=0.78). All these correlations were statistically significant (p<0.05). There were no sarcopenia cases. Conclusion: A higher concentration of fat in the trunk and the upper limbs was observed in the study population, however none of the participants had sarcopenia. On the other hand, BMI showed a greater correlation with both total fat (kg) and TBF% than with WHR. Such findings suggest that assessing these patients based only on BMI or WHR may hinder the development individualized treatment strategies.


2015 ◽  
Vol 358 (1-2) ◽  
pp. 335-338 ◽  
Author(s):  
Esther Cubo ◽  
Jessica Rivadeneyra ◽  
Cecilia Gil-Polo ◽  
Diana Armesto ◽  
Ana Mateos ◽  
...  

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