Estimation of specific VO2max for elderly in cycle ergometer

The aim of the present study was to develop and validate a specific estimation model of maximal oxygen consumption (VO2max) based on submaximal ventilatory indicators on a cycle ergometer test protocol in elderly men. We tested, using an incremental protocol, 181 healthy and non-athletes male volunteers, aged between 60 and 79 years old, randomly divided into two groups: group A, of estimation (n = 137), and group B, of validation (n = 44). The independent variables were: body mass in kg, second workload threshold (WT2) and heart rate at the second ventilatory threshold (VT2). The cross-validation method was used in group B, with group A serving as the basis for the model and the validation dataset. The results presented a multiple linear regression model for estimation of VO2max = 31.62 + 0.182 (WT2) – 0.302 (body mass) in mlO2/kg/min-1; adjusted R2 = 0.98 and SEE = 0.682 (mlO2/Kg/min-1). The construction of this specific model for healthy and non-athletes elderly men can demonstrate that it is possible to estimate VO2max with a minimum error (SEE < 1.00) from indicators of ventilatory thresholds obtained in an incremental submaximal test

Adaptabilidad de los principales modelos de periodización del entrenamiento deportivo

The aim of this study was to identify using the adequability pattern method, which model of periodization suite better to sport training observed at bibliographic research. It utilized as indicators the structure of periodization and the modulation pattern of workload. The methodological tool of this study was meta-analysis. Were appraised 103 citations. Analysis of the collected material, assessed through the statistic tool size-effect (TE made it possible to established an Adequability Index (IADEQ) and then, categorize the models as : Very Good - Matveev (IADEQ = 3,44; TE = 1,13); Good - Verkhoshansky (IADEQ = 2,88; TE = 0,57), Bompa (IADEQ = 2,66; TE = 0,34) e Regular - ATR (IADEQ = 1,96; TE = -0,37), Forteza (IADEQ = 2,25; TE = -0,07).El estudio identificó, bajo prisma de la adaptabilidad, cual es lo mejor modelo de periodización del entrenamiento deportivo (PTE). Fueron considerados dos indicadores: la estructura de la periodización y la forma de modulación de la carga. Fue utilizada la metanálisis como herramienta metodológica. 103 citaciones habían sido levantadas. La evaluación por los criterios establecidos indicó cinco modelos de PTE pasibles de estudio. El análisis estadístico, empleando el tamaño efecto (TE), generó un Índice de Adaptabilidad (IADEQ, y la clasificación de los modelos en: Muy Bueno - Matveev (IADEQ = 3,44; TE = 1,13); Bueno - Verkhoshansky (IADEQ = 2,88; TE = 0,57), Bompa (IADEQ = 2,66; TE = 0,34) y Regular - ATR (IADEQ = 1,96; TE = -0,37), Forteza (IADEQ = 2,25; TE = -0,07).O estudo identificou, sob o prisma da adequabilidade, qual o melhor modelo de periodização do treinamento esportivo (PTE). Foram considerados dois indicadores: a estrutura da periodização e a forma de modulação da carga. Foi utilizada a metanálise como ferramenta metodológica. 103 citações foram levantadas numa pesquisa sistemática, em bases de dados. A avaliação pelos critérios estabelecidos indicou cinco modelos de PTE passíveis de estudo. A análise estatística, empregando o tamanho efeito (TE), gerou um Índice de Adequabilidade (IADEQ) e a classificação dos modelos em: Muito Bom - Matveev (IADEQ = 3,44; TE = 1,13); Bom - Verkhoshansky (IADEQ = 2,88; TE = 0,57), Bompa (IADEQ = 2,66; TE = 0,34) e Regular - ATR (IADEQ = 1,96; TE = -0,37), Forteza (IADEQ = 2,25; TE = -0,07).Universidade Federal do Estado do Rio de Janeiro Laboratório de Biociências da Motricidade HumanaUniversidade Veiga de AlmeidaUniversidade Federal de Uberlândia Instituto de Genética e BioquímicaUniversidade Federal de São Paulo (UNIFESP)UNIFESPSciEL