Exploring the torque- velocity relationship in postmenopausal women: Analyzing the influence of data processing

Jessica Rial-Vázquez, Alejandra Camacho-Villa, Sonia Liliana Rivera-Mejía, Iván Nine, María Rúa-Alonso, Juan Fariñas, Borja Revuelta-Lera and Eliseo Iglesias-Soler

PLOS ONE, 2025, vol. 20, issue 6, 1-15

Abstract: Objective: The main aims of this study were to compare the goodness of fit and derived parameters of linear and non-linear models for fitting the torque-velocity (TV) relationship in postmenopausal women, and to examine the influence of data processing on the results obtained. Methods: Sixteen physically active postmenopausal women completed the experiment. Knee extensor (KE) and elbow flexor (EF) muscle strength was evaluated in the dominant limb using an isokinetic dynamometer. Isometric and isokinetic tests were conducted at 30, 60, 120, 180, 240, and 300°/s. Peak torque and the corresponding joint angles were recorded for each test. TV data were fitted using linear, quadratic polynomial (PM), and Hill’s (HM) regression models. TV relationships were analyzed using both actual data (i.e., the velocity achieved and its associated torque; TVA) and target data (i.e., the velocity preset on the dynamometer and the torque reported; TVT). TV parameters derived from each model and their goodness of fit were calculated for both TVA and TVT relationships. Results: The goodness of fit and the estimated TV parameters derived from the regression models differed significantly between TVA and TVT for both KE and EF (P

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0327381

DOI: 10.1371/journal.pone.0327381

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