Análise da concordância entre métodos de avaliação de respostas antropométricas ao treinamento resistido em adultas e idosas

• Autor(a) principal: Magalhães, Saulo Chaves
• Data de Publicação: 2017
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/36640
• topic: Envelhecimento; Treinamento resistido; Antropometria; Métodos de avaliação física; Análise de concordância

A way for health promoting to the older population are physical exercises, especially resistance training, for body composition control and fat-free mass preservation. As in any exercise program, anthropometric responses to resistance training-based interventions needs most clarified anthropometric assessment methods. However, there is some disagreement about their choice for the older population participant in a specific type of training, such as resistance training, which prompts to more specific adaptations, as its combination with characteristics of aging can interfere with the base parameters on which such methods rely. So, the main goal of this study was to evaluate the agreement degree between common indicators obtained via different assessment methods of anthropometric responses to the resistance training in the female population older than 50 years and female elderly. For this purpose, indicators were compared from different anthropometric assessment methods in response to a proposed resistance training program for the public specified. Those methods were based on: skinfolds and body-perimeters measures; body composition estimates; general and local body rates. It was found that simple measures, not necessarily put in body composition estimative formulas, such as the triceps and thigh skin-folds and waist and abdomen body-perimeters, might be good parameters for assessing results from training. Body indexes, mainly used by epidemiological surveys, didn’t seem to be effective parameters for assessing and evaluating results from resistance-training, while body-fat estimating formulas, which are based on predictive calculations of body density, showed very little agreement among them, leading to different comprehension of the results for the same training, even for the same subjects evaluated.