Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/47461
Tipo: Artigo de Evento
Título: Development of a protocol for determining and classifying of the physical workload in forestry activities
Autor(es): Stanley Schettino
Luciano José Minette
Carolina Freitas Schettino
José Dionisio de Paula Junior
Resumen: In field conditions, forest work can be extremelyheavy under the view point of physical effort. In order to classify the physical workload, the aerobic capacity, expressed in maximumoxygen consumption (VO2max), when associated with other factorssuch as age, gender and body mass of workers during the performance of their activities, can provide accurate answers aboutthe physical workload of these workers. Thus, this study aimed at thedevelopment of equations for VO2max determination from maximumheart rates of work, body mass and gender of the workers, besides the proposition of a protocol to classify the physical workload fordifferent forestry activities from VO2max. Based on the nomogram proposed by Per-Olof Astrand, taking as a basis the body mass andheart rate variables, all the combinatory possibilities for thedetermination of VO2max were explored, generating 319 and 383combinations for the female and male genders, respectively. Nonlinear regression models were adjusted by adopting the valuesfound for VO2max as dependent variable and body mass and heart rateas independent variables. The model chosen for VO2 max estimationwas adjusted to the data with great precision, considering the resultsof the regression statistical analysis, demonstrating that the adjustedequations present a high predictive power to estimate the VO2max inforest workers, being applicable for the physical workloaddetermination. Moreover, the protocol proposed for classification of physical workload has practicality and efficiency, and its use is viablein field conditions, showing consistent results, which improvesworking conditions in situations where workers are confronted withrealities that disrupt and surpass their capacities.
Asunto: Ergonomia
Serviços de saúde ocupacional
Variabilidade do batimento cardíaco
Índice de massa corporal
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Institución: UFMG
Departamento: ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
Tipo de acceso: Acesso Aberto
URI: http://hdl.handle.net/1843/47461
Fecha del documento: 2019
metadata.dc.relation.ispartof: International Conference on Forests and Natural Resources Engineering
Aparece en las colecciones:Artigo de Evento

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