Navegando por Assunto "Sarcopenia"

Agora exibindo 1 - 2 de 2

Acesso aberto (Open Access)
Análise da sarcopenia e a sua associação com indicadores clínicos, funcionais e de qualidade de vida em pessoas idosas atendidas no ambulatório do hospital Universitário João de Barros Barreto
(Universidade Federal do Pará, 2024-08-09) MORAES, Janine Brasil de Araújo; NEVES, Laura Maria Tomazi; http://lattes.cnpq.br/4235603520707156; HTTPS://ORCID.ORG/0000-0002-3115-2571; CARNEIRO, Saul Rassy Carneiro; http://lattes.cnpq.br/9162153771863939; https://orcid.org/0000-0002-6825-0239
Introduction: Introduction: Ageing can be accompanied by a progressive decline in muscle mass, strength and function. This resulting health condition is known as sarcopenia, a muscle disease that develops progressively and chronically. Age-related sarcopenia has several factors that accelerate this process and need to be identified and controlled in order to promote a good health prognosis and quality of life for the elderly population. Objective: To assess the association between sarcopenia and functional and quality of life indicators in elderly people treated at the geriatrics outpatient clinic of the João de Barros Barreto University Hospital (HUJBB). Methods: This is an observational, analytical, cross-sectional study carried out at the HUJBB geriatrics outpatient clinic. Sociodemographic and clinical assessments were carried out: sarcopenia assessment (SARC-Calf, handgrip strength assessment, Tetrapolar Electrical Bioimpedance (BIA) and Short Physical Performance Battery (SPPB)), functional indicators assessment (Barthel, quadriceps strength assessment, physical activity level assessment (IPAQ) and presence of falls in 60 days) and quality of life assessment (SF-12). The algorithm of the European Working Group on sarcopenia in the elderly (EWGSOP2) was used. Results: 129 participants were assessed (73% women, p = 0.001), with a mean age of 75.4 years and from the capital (80.6%). 57% were found to be at risk of sarcopenia, with a prevalence of sarcopenia of 27.1%. Handgrip strength (HGS) 18kg/f, skeletal muscle mass 18.3kg; SPPB 9 points; Barthel score 58.8% of independent participants; quadriceps strength 14kg/f; IPAQ 38.8% with a low level of physical activity and SF-12 37.7 points for the physical component and 48.2 points for the mental component. There was an association between appendicular skeletal muscle mass (ASMR) and calf circumference (WC), age, SARC-Calf, FPM and quality of life (physical component) for men (adjusted R2 0.42 and p<0.05), as well as sarcopenia, classified by ASMR, with BIA variables: body resistance, total body water in lean mass, lean mass and basal metabolic rate for men (adjusted R2 0.49 and p<0.05), and for women, intracellular water and total body water in body weight (adjusted R2 0.60 and p<0.05). Conclusion: This study concludes that WC, age, sarcopenia risk screening, HGS and quality of life were associated with MMEA measured by BIA. For the diagnosis of sarcopenia, there were different associations between the BIA markers when adjusted for gender.
Acesso aberto (Open Access)
Predição da massa livre de gordura e do índice de massa muscular por impedancia bioelétrica em homens com tetraplegia fisicamente ativos
(Universidade Federal do Pará, 2022-05-25) VIEIRA, Andreia Bauermann; KOURY, Josely Correa; http://lattes.cnpq.br/9039270525512042; https://orcid.org/0000-0002-3189-9261; SILVA, Anselmo de Athayde Costa e; http://lattes.cnpq.br/4794918582092514; https://orcid.org/0000-0001-5265-619X
Individuals with cervical spinal cord injury (c-SCI) experience progressive loss of fat-free mass (FFM) due to decreased physical activity and neurological impairments because the function of spinal neuronal circuits below the level of injury is impaired. Therefore, there is a reduction in muscle strength and physical performance, characterizing sarcopenia, similar to what occurs in the elderly. The bioelectrical impedance (BIA) method is valid and accessible for predicting FFM in different population. The ground of the BIA method is based on the principle of constant hydration. However, individuals with c-SCI show important variations in hydration status, a fact that makes it difficult to use generalized predictive equations for FFM by BIA. Considering that the prediction of FFM in individuals with c-SCI is important to monitor changes in body composition and to support studies on sarcopenia, the present dissertation aims to: 1) test the agreement between the FFM values obtained by three different predictive equations by BIA and by dual-energy X-ray absorptiometry (DXA), 2) test the applicability of bioelectrical impedance vector analysis (BIVA) for this group; and 3) compare the use of the muscle mass index (SMI) from the FFM obtained by BIA and DXA for the diagnosis of sarcopenia in people with tetraplegia, considering different levels of physical activity (sedentary, active >150 minutes per week, and very active > 210 minutes per week). Able bodied individuals (n=23) and with c-SCI physically active (n=13) or inactive (n=10) participated in the study. Only the equation by Buchholz et al. showed agreement (coefficient of agreement=0.85) with DXA. Sarcopenia is a common disease after c-SCI and can be diagnosed using the SMI, which was tested in this group using the suggested equations for BIA and DXA. The use of the SMI-BIA to classify sarcopenia in sedentary c-SCI individuals resulted in substantial diagnostic agreement (Kappa=0.727) according to the Kappa coefficient. Buchholz et al. equation presented the best agreement, but this was not enough for this equation to be recommended for use in people with c-SCI and a specific equation for this population should be created. However, the use of cut-off points to diagnose sarcopenia from the SMI-BIA seems promising in sedentary people with c-SCI, necessitating further studies in people with c SCI that are physically active.