Validation of Internal and External Load Metrics in NCAA D1 Women's Beach Volleyball

Validation of Internal and External Load Metrics in NCAA D1 Women's Beach Volleyball

Tometz, MJ, Jevas, SA, Esposito, PM, and Annaccone, AR. Validation of internal and external load metrics in NCAA D1 women's beach volleyball. J Strength Cond Res 36(8): 2223–2229, 2022—The purpose of this study was to determine the validity of internal and external load metrics in NCAA D1 women...

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Bibliographic Details
Published in:Journal of strength and conditioning research Vol. 36; no. 8; pp. 2223 - 2229
Main Authors: Tometz, Matthew J., Jevas, Stephanie A., Esposito, Philip M., Annaccone, Adam R.
Format: Journal Article
Language:English
Published: Champaign Journal of Strength and Conditioning Research 01-08-2022
Lippincott Williams & Wilkins Ovid Technologies
Subjects:
Beaches
Heart rate
Load
Relative humidity
Statistical analysis
Volleyball
Women
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Summary:Tometz, MJ, Jevas, SA, Esposito, PM, and Annaccone, AR. Validation of internal and external load metrics in NCAA D1 women's beach volleyball. J Strength Cond Res 36(8): 2223–2229, 2022—The purpose of this study was to determine the validity of internal and external load metrics in NCAA D1 women's beach volleyball. Subjects included 13 NCAA D1 women's beach volleyball players (age: 20.3 ± 1.4 years). A total of 578 data points were analyzed from 51 team training sessions, including practice, games, and sport-specific conditioning during the pre-season semester (15 weeks). Data points included Edward's training impulse (TRIMP) (228.0 ± 80.7 arbitrary units [AU]), session rating of perceived exertion (sRPE) Load (532.5 ± 232.8 [AU]), distance covered (DC) in meters (2,635.4 ± 884.3 [m]), and daily environmental condition variables {(temperature (76.5 ± 13.7 [°F]), relative humidity (72.5 ± 13.2 [%]), and wet-bulb globe temperature (52.9 ± 19.9 [°F])}. The subjects wore Polar Team Pro heart rate monitors with global positioning system during each session. Subjects completed an sRPE questionnaire after every session. Pearson product moment correlations yielded statistically significant relationships ( p < 0.01) between TRIMP and sRPE Load ( r = 0.81), TRIMP and DC ( r = 0.78), and sRPE Load and DC ( r = 0.82). A forward selection multiple regression yielded that sRPE Load could predict TRIMP with the equation: TRIMP Tometz = 78.735 + (sRPE Load * 0.28) ( p < 0.001). These findings support sRPE Load as a valid alternative to TRIMP when monitoring internal loads in NCAA D1 women's beach volleyball. Session rating of perceived exertion Load may be more practical and accessible for teams. Distance covered should be considered when periodizing and monitoring training loads because of its relationship with internal loads.
ISSN:1064-8011
1533-4287
DOI:10.1519/JSC.0000000000003963