Update: sarcopenia
DOI:
https://doi.org/10.17267/2238-2704rpf.v11i4.4139Keywords:
Sarcopenia, Body composition, Muscular strengthAbstract
OBJECTIVES: To update on a sarcopenia literature review published in 2014 in this journal. According to the Working Group on Sarcopenia in Older People Consensus (EWGSOP2), sarcopenia was redefined as a muscular disease, characterized by muscular strength reduction, associated to a diminished muscular quantity and /or quality and /or a low physical performance, being stratified as primary, secondary acute and chronic. Beyond physical consequences as falls risk and daily living activities, sarcopenia can promote a dysbalance between protein synthesis and degradation. Sarcopenia prevalence is higher with increasing age, especially after 60 years. Studies in six countries had found sarcopenia prevalence between 4.6% and 22.1%, but differences between definitions, diagnostic methods and cutoff points to evaluate muscle mass and function are found. To improve sarcopenia risk detection, EWGSOP2 suggests the use of the SARC-F questionnaire. Muscle mass measurement recommended methods are Magnet Ressonance Imaging, Computed Tomography, Double Energy X-Ray Absorptiometry, Eletric Bioimpedance and Anthropometry with variable accuracy and costs between these methods. To evaluate muscle strength, handgrip strength test is the main method recommended. Four Meter Gait speed is recommended to evaluate physical performance. Treatment options are progressive exercise endurance trainings and aerobic exercises, together with nutritional interventions. Sedentary lifestyle, obesity and frailty are the main risks factors associated to muscle mass and function losses in the clinical setting.Downloads
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Copyright (c) 2021 Bruno Prata Martinez, Fernanda Warken Rosa Camelier , Nívia Giullia de Sales e Santos, Laís Vasconcelos Martins da Costa , Lindanor Gomes Santana Neta, Joselita Moura Sacramento, Aquiles Assunção Camelier
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
