Time-Course of Performance Recovery During Repeated Sets of Bench Press Exercise: A Modeling Approach

Panagiotopoulos, MG, Tsoukos, A, Tsolakis, C, Terzis, G, and Bogdanis, GC. Time-course of performance recovery during repeated sets of bench press exercise: a modeling approach. J Strength Cond Res XX(X): 000-000, 2025-We examined the influence of selected performance and physiologic parameters on the time-course of mean barbell velocity recovery during repeated sets of bench press exercise. Thirteen resistance-trained men (25.0 ± 6.3 years) participated in this study. Preliminary measurements included bench press strength (1 repetition maximum [1RM]; 95.0 ± 17.4 kg), maximum theoretical velocity (Vo: 2.03 ± 0.16 m·s-1), and optimal load determination (56.3 ± 1.4% of 1RM), through a load-velocity test on a Smith machine. Also, the rate of barbell velocity decline was calculated during a bench press test to exhaustion performed as fast as possible against the optimal load (maximum number of repetitions [MNR]slope: -0.026 ± 0.006 m·s-1·rep-1). Maximum aerobic power (104.6 ± 18.1 W), blood lactate threshold, and heart rate recovery were determined using an incremental arm cranking test to exhaustion. Each of the 5 main sessions included four 10 seconds bench press sets performed as fast as possible against the optimal load, with rest intervals between sets ranging from 30 seconds to 5 minutes in a random and counterbalanced order. We calculated the percentage of mean barbell velocity recovery between the first 2 sets for each rest interval (30 seconds-5 minutes). The restoration of mean barbell velocity was modeled using a power curve to assess the individual recovery rate. This analysis showed that the time needed to regain 95% of performance from the first to the second set was mainly influenced by MNRslope and Vo (R2 = 0.68, p < 0.01). When a neural network approach was used, the accuracy of prediction improved significantly (R2 = 0.90-0.99). In summary, MNRslope and Vo may be used for estimating an individual's recovery ability and for determining optimal rest intervals in explosive bench press training.

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Journal
The Journal of Strength and Conditioning Research
Published
2025-08-13
DOI
https://doi.org/10.1519/jsc.0000000000005221
Primary Topic
Sports Performance and Training
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article
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article

Time-Course of Performance Recovery During Repeated Sets of Bench Press Exercise: A Modeling Approach

Gregory C. Bogdanis, Αθανάσιος Τσούκος, Michail Panagiotopoulos, Charilaos Tsolakis et al.
The Journal of Strength and Conditioning Research
Sports Performance and Training
article

Time-Course of Performance Recovery During Repeated Sets of Bench Press Exercise: A Modeling Approach

Gregory C. Bogdanis, Αθανάσιος Τσούκος, Michail Panagiotopoulos, Charilaos Tsolakis, Gerasimos Terzis
article en

Abstract

Panagiotopoulos, MG, Tsoukos, A, Tsolakis, C, Terzis, G, and Bogdanis, GC. Time-course of performance recovery during repeated sets of bench press exercise: a modeling approach. J Strength Cond Res XX(X): 000-000, 2025-We examined the influence of selected performance and physiologic parameters on the time-course of mean barbell velocity recovery during repeated sets of bench press exercise. Thirteen resistance-trained men (25.0 ± 6.3 years) participated in this study. Preliminary measurements included bench press strength (1 repetition maximum [1RM]; 95.0 ± 17.4 kg), maximum theoretical velocity (Vo: 2.03 ± 0.16 m·s-1), and optimal load determination (56.3 ± 1.4% of 1RM), through a load-velocity test on a Smith machine. Also, the rate of barbell velocity decline was calculated during a bench press test to exhaustion performed as fast as possible against the optimal load (maximum number of repetitions [MNR]slope: -0.026 ± 0.006 m·s-1·rep-1). Maximum aerobic power (104.6 ± 18.1 W), blood lactate threshold, and heart rate recovery were determined using an incremental arm cranking test to exhaustion. Each of the 5 main sessions included four 10 seconds bench press sets performed as fast as possible against the optimal load, with rest intervals between sets ranging from 30 seconds to 5 minutes in a random and counterbalanced order. We calculated the percentage of mean barbell velocity recovery between the first 2 sets for each rest interval (30 seconds-5 minutes). The restoration of mean barbell velocity was modeled using a power curve to assess the individual recovery rate. This analysis showed that the time needed to regain 95% of performance from the first to the second set was mainly influenced by MNRslope and Vo (R2 = 0.68, p < 0.01). When a neural network approach was used, the accuracy of prediction improved significantly (R2 = 0.90-0.99). In summary, MNRslope and Vo may be used for estimating an individual's recovery ability and for determining optimal rest intervals in explosive bench press training.

The Journal of Strength and Conditioning ResearchVol. 39(12)
St. Gregory's University (US), National and Kapodistrian University of Athens (GR)
Openalex Percentile: Top 70%
Sports Performance and Training
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