RT Journal Article
T1 Optimizing exercise prescription during breast cancer rehabilitation in women: Analysis of the load–velocity relationship in the box squat exercise
A1 Díez Fernández, David M.
A1 Esteban Simón, Alba
A1 Baena Raya, Andrés
A1 Rodríguez Rosell, David
A1 Conceição, Filipe
A1 Rodríguez Pérez, Manuel A.
A1 Soriano Maldonado, Alberto
K1 Exercise cancer prescription
K1 Load‐velocity profile
K1 Lower‐limb strength
K1 Resistance training
K1 Velocity‐based training
AB The aims of this study were to assess (i) the load–velocity relationship during the box squat exercise in women survivors of breast cancer, (ii) which velocity variable (mean velocity [MV], mean propulsive velocity [MPV], or peak velocity [PV]) shows stronger relationship with the relative load (%1RM), and (iii) which regression model (linear [LA] or polynomic [PA]) provides a greater fit for predicting the velocities associated with each %1RM. Nineteen women survivors of breast cancer (age: 53.2 ± 6.9 years, weight: 70.9 ± 13.1 kg, and height: 163.5 ± 7.4 cm) completed an incremental load test up to one-repetition maximum in the box squat exercise. The MV, MPV, and the PV were measured during the concentric phase of each repetition with a linear velocity transducer. These measurements were analyzed by regression models using LA and PA. Strong correlations of MV with %1RM (R2 = 0.903/0.904; the standard error of the estimate (SEE) = 0.05 m.s−1 by LA/PA) and MPV (R2 = 0.900; SEE = 0.06 m.s−1 by LA and PA) were observed. In contrast, PV showed a weaker association with %1RM (R2 = 0.704; SEE = 0.15 m.s−1 by LA and PA). The MV and MPV of 1RM was 0.22 ± 0.04 m·s−1, whereas the PV at 1RM was 0.63 ± 0.18 m.s−1. These findings suggest that the use of MV to prescribe relative loads during resistance training, as well as LA and PA regression models, accurately predicted velocities for each %1RM. Assessing and prescribing resistance exercises during breast cancer rehabilitation can be facilitated through the monitoring of movement velocity.
PB Wiley
YR 2024
FD 2024
LK https://hdl.handle.net/10433/25066
UL https://hdl.handle.net/10433/25066
LA en
NO European Journal of Sport Science Volume 24, Issue 7 pp. 1021-1031
NO Departamento: Deporte e Informática
DS RIO
RD Apr 23, 2026