Prediction of anthropometric variables in standing position in Venezuelan direct labor workers

Alejandro Labrador Parra and Evelin Escalona

SAP Rehabilitation and Sports Medicine, 2024

Abstract: The present research aims to predict anthropometric variables in workers of direct industrial labor force in bipedestation, with mathematical models or algorithms such as linear or multiple regression models, which facilitate the measurement process reducing costs and time in the research. The methodology was applied to a population sample of 185 workers (131M,54W) of Venezuelan industrial direct labor, located in the industrial zones of Aragua state, being its research level correlational-transversal-epidemiological. The research made use of the statistical procedure of linear and multiple regressions with the support of the mini tab-17 statistical package. From the statistical assumptions, the obtained functions of simple and multiple regression in the anthropometric variables in bipedestation, show us significant models (Average 95 %) for a P-value<0, 05 by age group and sex, which will allow to reduce the costs and time in the anthropometric measurements of the industrial direct labor workers in Venezuela

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:cwf:rsmart:ri2024105

DOI: 10.56294/ri2024105

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