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Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/47461
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Campo DCValorIdioma
dc.creatorStanley Schettinopt_BR
dc.creatorLuciano José Minettept_BR
dc.creatorCarolina Freitas Schettinopt_BR
dc.creatorJosé Dionisio de Paula Juniorpt_BR
dc.date.accessioned2022-11-25T18:23:36Z-
dc.date.available2022-11-25T18:23:36Z-
dc.date.issued2019-
dc.citation.spage434pt_BR
dc.citation.epage438pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/47461-
dc.description.resumoIn 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.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofInternational Conference on Forests and Natural Resources Engineeringpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectErgonomicspt_BR
dc.subjectForestrypt_BR
dc.subjectHeart ratept_BR
dc.subjectWorker's healthpt_BR
dc.subject.otherErgonomiapt_BR
dc.subject.otherServiços de saúde ocupacionalpt_BR
dc.subject.otherVariabilidade do batimento cardíacopt_BR
dc.subject.otherÍndice de massa corporalpt_BR
dc.titleDevelopment of a protocol for determining and classifying of the physical workload in forestry activitiespt_BR
dc.typeArtigo de Eventopt_BR
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