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. 2021 Jun 22;21(13):4277.
doi: 10.3390/s21134277.

Multi-Location External Workload Profile in Women's Basketball Players. A Case Study at the Semiprofessional-Level

Carlos D Gómez-Carmona  1 , David Mancha-Triguero  1 , José Pino-Ortega  2 , Sergio J Ibáñez  1
Affiliations

Multi-Location External Workload Profile in Women's Basketball Players. A Case Study at the Semiprofessional-Level

Carlos D Gómez-Carmona et al. Sensors (Basel). .

Abstract

The external workload measured in one anatomical location does not determine the total load supported by the human body. Therefore, the purpose of the present study was to characterize the multi-location external workload through PlayerLoadRT of 13 semi-professional women's basketball players, as well as to analyze differences among anatomical locations (inter-scapulae line, lumbar region, 2× knee, 2× ankle) and laterality (left vs. right) during five tests that represent the most common movements in basketball-(a) linear locomotion, 30-15 IFT; (b) acceleration and deceleration, 16.25-m RSA (c) curvilinear locomotion, 6.75-m arc (d) jump, Abalakov test (e) small-sided game, 10' 3 vs. 3 10 × 15-m. Statistical analysis was composed of a repeated-measures t-test and eta partial squared effect size. Regarding laterality, differences were found only in curvilinear locomotion, with a higher workload in the outer leg (p < 0.01; ηp2 = 0.33-0.63). In the vertical profile, differences among anatomical locations were found in all tests (p < 0.01; ηp2 = 0.56-0.98). The nearer location to ground contact showed higher values except between the scapulae and lumbar region during jumps (p = 0.83; ηp2 = 0.00). In conclusion, the multi-location assessment of external workload through a previously validated test battery will make it possible to understand the individual effect of external workload in each anatomical location that depends on the type of locomotion. These results should be considered when designing specific strategies for training and injury prevention.

Keywords: accelerometry; human body; impacts; inertial devices; microtechnology.

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Conflict of interest statement

This work has been developed in the Training Optimization and Sports Performance Research Group (GOERD) of the Sports Science Faculty at the University of Extremadura. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. None of the authors has a conflict of interest to declare, and all authors were involved in the study design, data collection, and interpretation, and contributed to the writing of the manuscript.

Figures

Figure 1
Figure 1
Placement of the inertial devices in women’s basketball players.
Figure 2
Figure 2
Multi-location external workload profile of semi-professional women’s basketball players in curvilinear locomotion ((A) left and (B) right direction) and speed changes ((C) acceleration and (D) deceleration). ** Statistical differences (p < 0.01); * Statistical differences (p < 0.05); ND: No statistical differences.
Figure 3
Figure 3
Multi-location external workload profile of semi-professional women’s basketball players in (A) jumps, (B) linear locomotion and (C) small-sided games. ** Statistical differences (p < 0.01); ND: No statistical differences.
See this image and copyright information in PMC

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