Sensitivity of the Load-Velocity Relationship Variables to Discriminate the Level of Fatigue Induced by Multiple Sets of the Hexagonal Barbell Deadlift Exercise
Journal of Strength and Conditioning Research, vol.39, no.4, pp.407-413, 2025 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 39 Issue: 4
- Publication Date: 2025
- Doi Number: 10.1519/jsc.0000000000005037
- Journal Name: Journal of Strength and Conditioning Research
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, MEDLINE, DIALNET
- Page Numbers: pp.407-413
- Keywords: resistance training, strength, testing, velocity-based training
- Istanbul Gelisim University Affiliated: Yes
Abstract
This study aimed to evaluate changes in load-velocity (L-V) relationship variables (L0, v0, and Aline) after different fatigue protocols and to determine their correlation with changes in 1 repetition maximum (1RM). After determining the hexagonal barbell deadlift (HBD) 1RM, 27 resistance-trained men randomly completed 3 sessions that only differed in the activity performed between 2 incremental loading tests that were performed at the beginning (presession) and end (postsession) of the session: (a) control protocol: no training; (b) moderate-fatigue protocol: 5 sets of the HBD exercise at 70% 1RM performing half the maximum possible number of repetitions; and (c) high-fatigue protocol: 5 sets of the HBD exercise performed to failure against the 70% 1RM. Significance was set at an alpha level of 0.05. The reduction of 1RM (p < 0.001), v0 (p = 0.014), and Aline (p < 0.001) at postsession was greater for the high-fatigue protocol, followed by the moderate-fatigue protocol, and finally the control protocol. The changes in L0 did not differ between the fatigue protocols (p = 0.372). The percent change in the 1RM at postsession was significantly correlated with the percent change in Aline (r = 0.714) and L0 (r = 0.540), but not with the percent changes in v0 (r = 0.177). These results suggest that the L-V relationship variables offer a highly sensitive and practical solution for fatigue monitoring.