scholarly journals Skeletal Muscle Mass Index cut-offs by bioelectrical impedance analysis to determine Sarcopenia Based on healthy young or old Populations: A Comparative Study

2021 ◽  
Vol 2008 (1) ◽  
pp. 012012
Author(s):  
J S Villada-Gómez ◽  
C H González-Correa ◽  
M C Pineda-Zuluaga

Abstract Skeletal muscle mass index (SMMI) is a component in sarcopenia. There is no universal cut-off point and therefore each population should have its own reference values. This study aimed comparing SMMI cut-off points derived from a young population with those obtained directly from an elderly population. 237 older adult community-dwelling older than 60 years were evaluated. The skeletal muscle mass (SMM) was evaluated by bioelectrical impedance analysis (BIA). SMMI was calculated as SMM/height squared. The young population consisted of 255 participants from the same locality. The cut-off points from older person for moderate low muscle mass were 6.70 (women) and 9.20 kg/m2 (men). In this case, they were higher than those estimated from the young population (6.42 and 8.40 kg/m2for women and men). A similar trend was obtained when the cut-off points were set below the 20th percentile. When two standard deviations were used to determine the cut-off points, the values for older women were lower (5.90 kg/m2) than those obtained from young adults. There were no differences in the case of men. SMMI reference values from elderly persons is an option to diagnose sarcopenia, however prospective studies are necessary to stablish the capacity to predict functional outcomes.

2020 ◽  
Vol 41 (6) ◽  
pp. 064005
Author(s):  
Clara Helena González Correa ◽  
Felipe Marulanda Mejía ◽  
Pablo Andrés Castaño González ◽  
Jose Armando Vidarte Claros ◽  
Hector David Castiblanco Arroyabe

2021 ◽  
Vol 2008 (1) ◽  
pp. 012001
Author(s):  
C H González-Correa ◽  
M C Pineda-Zuluaga ◽  
L E Sepúlveda-Gallego

Abstract Data on the prevalence of sarcopenia may differ in the same population depending on the reference values used. It is recommended to have reference values obtained from the same population. In Colombia, skeletal muscle mass (SMM) parameters are scarce. The objective was to establish normal values for the skeletal muscle mass index (SMMI) and reference values for loss of muscle mass through bioelectric impedance analysis to improve the diagnosis of sarcopenia in the region. This study involved 237 healthy community-dwelling adults over 60 years old. The cut-off values for diagnosis of loss of muscle mass were stablished as the mean -2SD of the population evaluated. The group included 141 females and 96 males. The mean of SMMI were 7.5 ± 0.7 and 9.6 ± 0.8 kg/m2 for women and men, respectively. The cut-off thresholds for low SMMI were 6.1 kg/m2 and 8.0 kg/m2 in females and males. The SMMI values of the self-support elderly found in this study are useful to determine when people have a muscle mass within normal limits and when they could be at risk of or have sarcopenia. Further studies from different regions of this high-rate biodiversity country are recommended to obtain national reference values.


2020 ◽  
Vol 11 (1) ◽  
pp. 57-61
Author(s):  
C. H. González-Correa ◽  
M. C. Pineda-Zuluaga ◽  
F. Marulanda-Mejía

AbstractSkeletal muscle mass (SMM) plays an important role in health and physical performance. Its estimation is critical for the early detection of sarcopenia, a disease with high prevalence and high health costs. While multiple methods exist for estimating this body component, anthropometry and bioelectrical impedance analysis (BIA) are the most widely available in low- to middle-income countries. This study aimed to determine the correlation between muscle mass, estimated by anthropometry through measurement of calf circumference (CC) and skeletal mass index (SMI) by BIA. This was a cross-sectional and observational study that included 213 functional adults over 65 years of age living in the community. Measurements of height, weight, CC, and SMM estimated by BIA were made after the informed consent was signed. 124 women mean age 69.6 ± 3.1 years and 86 men mean age 69.5 ± 2.9 years had the complete data and were included in the analysis. A significant positive moderate correlation among CC and SMI measured by BIA was found (Pearson r= 0.57 and 0.60 for women and men respectively (p=0.0001)). A moderate significant correlation was found between the estimation of SMM by CC and by BIA. This suggests that CC could be used as a marker of sarcopenia for older adults in settings in lower-middle-income countries where no other methods of diagnosing muscle mass are available. Although the CC is not the unique parameter to the diagnosis of sarcopenia, it could be a useful procedure in the clinic to identify patients at risk of sarcopenia.


2018 ◽  
Author(s):  
Corinna Geisler ◽  
Mark Hübers ◽  
Manfred Müller

The two aims of this study were to evaluate (i) the prevalence of malnutrition based on age, sex and BMI specific PA and (ii) to determinate what specific body composition characteristics (skeletal muscle mass and adipose tissue) are related to a low PA.


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