Post-Activation Performance Enhancement in the Bench Press

Broader scientific context

Can an earlier effort improve a later pressing effort?

A low-volume conditioning activity can improve a later pressing effort when recovery allows fatigue to subside. The useful dose and rest interval depend on the athlete and the task.

Post-activation performance enhancement (PAPE) is an acute improvement in voluntary performance after a conditioning activity: for example, a heavy bench set before a light bench throw, ballistic push-ups before a maximal attempt, or a high-force isometric before an explosive task.

The coaching task is to find the point at which readiness improves and fatigue has receded. Upper-body studies report small average effects, with the clearest support when conditioning and testing use a similar movement pattern. Compare the added activity with the athlete’s complete warm-up and retain the smallest dose that produces a repeatable improvement.

Key takeaways

Using PAPE in a Bench-Press Warm-Up

  • Measure voluntary performance. Use PAPE for the later bench-performance response and reserve PAP for verified electrically evoked contractile responses.
  • Look for a useful individual gain. Average upper-body effects are small; retain the extra activity when improvement is repeatable and worthwhile for the athlete.
  • Match the task. Heavy bench conditioning has its clearest support before a light ballistic bench throw; assess other bench outcomes directly.
  • Include recovery. Heavy conditioning usually needs several minutes, with the interval selected for the athlete and target task.
  • Compare with a complete warm-up. Test whether conditioning adds a repeatable benefit beyond the warm-up the athlete would ordinarily use.

AMM Research · Visual 55 · Conceptual sequence

Condition, recover, then measure

  1. 01

    Conditioning activity

    Record the exercise, load and volume. The effort can increase readiness-related mechanisms while also adding fatigue.

  2. 02

    Recovery interval

    Allow fatigue to change over time. A useful interval depends on the athlete, conditioning dose and target task.

  3. 03

    Target performance test

    Measure the later effort against a complete-warm-up control. Keep an addition only when its benefit repeats beyond normal test noise.

Figure 1. Conceptual sequence: conditioning adds readiness and fatigue; recovery determines when to test for a useful performance gain.

PAP, PAPE and the fatigue balance

Classical post-activation potentiation is an increased twitch response for a given electrical stimulus after prior activation. It peaks quickly and has a short half-life, commonly linked to myosin regulatory light-chain phosphorylation.

PAPE is a within-session change in voluntary performance, such as bar velocity, throw power, jump height or maximal strength. Muscle temperature, intramuscular water, activation, arousal, skill rehearsal and fatigue can all contribute [1].

The distinction matters because a heavy set may increase twitch force while voluntary performance remains depressed. Conversely, voluntary performance can improve six to ten minutes later, when classical PAP has largely dissipated. Training status, relative strength, conditioning load and rest interval have all been proposed as moderators, but their group-average influence does not identify an individual responder [2].

Coaching practice used “PAP” before the terminology split

Josh Bryant described placing a heavy bench set before speed work using the then-common PAP label [3]. The voluntary performance response is now described as PAPE [1].

What the upper-body reviews found

The bench-press-throw meta-analysis

Krzysztofik and colleagues searched MEDLINE, PubMed and SPORTDiscus through August 2020. Eleven studies met their criteria, representing 174 resistance-trained men with average relative bench strength of 1.31 ± 0.14 times body mass.

All studies tested a Smith-machine bench press throw after a conditioning activity; most were small, and nearly three quarters had moderate or serious risk of bias because of missing control conditions, small samples or a single rest interval [4].

Full numerical record: load, sets and recovery

The pooled pre-to-post effect on bench-press-throw performance was small: effect size 0.33 (95% CI 0.12 to 0.54; p < .01), with no detected heterogeneity. Moderator estimates favored one set over multiple sets (0.37 versus 0.29) and bench conditioning at 60–84% 1RM (0.43) over ballistic-plyometric activity (0.29), 85–100% loading (0.23), supramaximal loading (0.22) or concentric-only work (0.11).

For conditioning below 85%, five to seven minutes produced the largest estimate (0.48). At 85% or higher, 0.15–4 minutes was negative (−0.13), while five minutes or longer was positive but uncertain.

These pooled subgroup estimates provide starting loads and recovery intervals to test with an athlete. These pooled subgroup estimates are not head-to-head randomized comparisons, often include few participants and do not establish subgroup superiority or an optimum.

AMM Research · Visual 51 · Study results

Bench-press-throw PAPE by conditioning activity

Overall pooled effect

Effect 0.33

Overall pooled effect Overall pooled effect: effect size 0.33; 95% confidence interval 0.12 to 0.54. The bar starts at zero; whiskers show the confidence interval. −0.4 0.0 0.4 0.8 Standardized effect size
95% CI 0.12 to 0.54

Bench 60–84% 1RM

Effect 0.43

Bench 60–84% 1RM Bench 60–84% 1RM: effect size 0.43; 95% confidence interval 0.05 to 0.81. The bar starts at zero; whiskers show the confidence interval. −0.4 0.0 0.4 0.8 Standardized effect size
95% CI 0.05 to 0.81

Ballistic / plyometric

Effect 0.29

Ballistic / plyometric Ballistic / plyometric: effect size 0.29; 95% confidence interval -0.18 to 0.75. The bar starts at zero; whiskers show the confidence interval. −0.4 0.0 0.4 0.8 Standardized effect size
95% CI -0.18 to 0.75

Bench 85–100% 1RM

Effect 0.23

Bench 85–100% 1RM Bench 85–100% 1RM: effect size 0.23; 95% confidence interval 0.00 to 0.47. The bar starts at zero; whiskers show the confidence interval. −0.4 0.0 0.4 0.8 Standardized effect size
95% CI 0.00 to 0.47

Bench >100% 1RM

Effect 0.22

Bench >100% 1RM Bench >100% 1RM: effect size 0.22; 95% confidence interval -0.18 to 0.62. The bar starts at zero; whiskers show the confidence interval. −0.4 0.0 0.4 0.8 Standardized effect size
95% CI -0.18 to 0.62

Concentric-only

Effect 0.11

Concentric-only Concentric-only: effect size 0.11; 95% confidence interval -0.32 to 0.54. The bar starts at zero; whiskers show the confidence interval. −0.4 0.0 0.4 0.8 Standardized effect size
95% CI -0.32 to 0.54

Subgroup effect sizes for light Smith-machine bench-press-throw performance in trained men, from Krzysztofik et al. [4].

Bars share one scale. Whiskers show 95% confidence intervals; the dashed line marks zero. The pooled overall estimate includes the activity subgroups and is not a separate trial arm.

The broader upper-body review

Finlay and colleagues screened 127 records and included 31 upper-body studies spanning bench variations, throws, swings, bodyweight activity and combined protocols. Their meta-analysis found that bench press at at least 80% 1RM significantly improved later power in a 30–40% 1RM ballistic bench throw after eight to twelve minutes (effect size 0.31, p = .03).

Overweight sport implements also improved competition-weight throwing distance by roughly 1.7–8.5%, and lighter or isometric bat swings improved competition bat velocity by roughly 1.3–4.9% [5].

AMM Research · Visual 56 · Review protocol

The task sequence behind the pooled finding

  1. 01

    Bench press ≥80% 1RM

    Heavy bench conditioning precedes the target test.

  2. 02

    8–12 minutes

    Recovery separates the conditioning activity from the later effort.

  3. 03

    Bench throw at 30–40% 1RM

    The later outcome is ballistic bench-throw power.

Finlay et al. (2022): pooled effect size 0.31 (p = .03) for the loads and recovery interval shown [5].

Match conditioning to the target task. The clearest evidence here supports a heavy press before an explosive press; test paused 1RM attempts and repeated sets separately.

The modern control-group correction

Xu and colleagues synthesized 62 studies with 1,039 participants and explicitly examined research design. They rated the pooled evidence low certainty with high risk of bias. The pre-to-post effect was trivial (0.12; 95% CI 0.06 to 0.19), while PAPE versus control appeared small (0.30; 95% CI 0.20 to 0.40). Part of that larger contrast came from a small decline in passive controls (−0.08).

Prediction intervals crossed zero in both analyses, meaning future protocols can reasonably impair performance [6].

AMM Research · Visual 52 · Study results

Three comparisons, three different estimates

Conditioning: before → after

Effect 0.12

Conditioning: before → after Conditioning: before → after: effect size 0.12; 95% confidence interval 0.06 to 0.19. The bar starts at zero; whiskers show the confidence interval. −0.2 0.0 0.2 0.4 Standardized effect size
95% CI 0.06 to 0.19

Conditioning versus control

Effect 0.30

Conditioning versus control Conditioning versus control: effect size 0.30; 95% confidence interval 0.20 to 0.40. The bar starts at zero; whiskers show the confidence interval. −0.2 0.0 0.2 0.4 Standardized effect size
95% CI 0.20 to 0.40

Control: before → after

Effect -0.08

Control: before → after Control: before → after: effect size -0.08; 95% confidence interval -0.13 to -0.03. The bar starts at zero; whiskers show the confidence interval. −0.2 0.0 0.2 0.4 Standardized effect size
95% CI -0.13 to -0.03

Xu et al. (2025): 62 studies, 1,039 participants across athletic tasks. Bars show different research contrasts, not three interventions tested head to head. Whiskers show 95% CIs. Source [6].

A decline in controls can enlarge the between-condition contrast. Prediction intervals crossed zero; pooled evidence was rated low certainty with high risk of bias.

Most revealingly, PAPE after a comprehensive warm-up was essentially trivial (0.01). Larger effects appeared with incomplete warm-ups, more training experience and stronger participants. This reframes the practical question: not “can a conditioning activity beat an early baseline?” but “does it add anything to the best realistic warm-up the athlete would already perform?”

How to judge the response at the rack

A standardized effect expresses change relative to variability. For a coaching decision, also record the absolute change in kilograms, bar velocity or throw distance and compare it with the athlete’s normal test variation.

Confidence intervals describe uncertainty around the average; prediction intervals describe the range expected across comparable future protocols. The prediction intervals reported by Xu and colleagues crossed zero, reinforcing the value of repeated individual testing.

Choose the target outcome, rest windows and smallest worthwhile change before testing. Compare conditioning with a complete warm-up on separate days, and keep it when the improvement repeats without reducing the quality of the next task.

Comparator quality changes the answer

Weak control

Baseline only

Mixes conditioning with learning, time, expectancy and repeated warm-up.

Better control

Passive rest

Controls elapsed time but not the effect of a realistic warm-up.

Decision-grade

Complete warm-up

Asks whether the conditioning activity improves what the athlete would otherwise do.

AMM Research · Visual 09 · Study-design diagram

The comparator changes the question

A · Comparison condition

  1. Usual complete warm-up
  2. Record the interval
  3. Same performance test

B · Test condition

  1. Same warm-up + conditioning
  2. Record the interval
  3. Same performance test

Match the comparison, randomize order, and record the later result.

Study-design schematic: compare the same performance test after the usual warm-up and after the warm-up plus conditioning. Record the recovery interval in both conditions.

Article synthesis; see the references below.

A 2025 synthesis of velocity-based conditioning activities included nine studies and 152 participants. Bench-press conditioning activity, loads at or above 80% 1RM, one set and stopping near 10% velocity loss showed favorable trends; the modeled window was roughly 5.8–12.8 minutes with an estimated optimum near 9 minutes.

Use these modeled values as starting conditions for individual testing [7].

Bench-Specific Performance Examples

AMM Research · Visual 53 · Study results

A small absolute change in maximal strength

Mean bench-press 1RM

Bench-press 1RM across three sessions Baseline 120.9 ± 23.2 kg; two plyometric push-ups 123.8 ± 23.5 kg; two chest passes 124.0 ± 24.1 kg. Bars show means and whiskers show one standard deviation. The baseline session always came first. First-session baseline Two plyometric push-ups Two chest passes 0 40 80 120 160 Bench-press 1RM (kg) 120.9 123.8 124.0
Mean ± SD (kg): baseline 120.9 ± 23.2; push-ups 123.8 ± 23.5; chest passes 124.0 ± 24.1. Axis starts at zero.

Wilcox et al. · 12 male college athletes

+2.9 kg / +3.1 kg

Differences from the first-session mean after push-ups / chest passes, calculated from the reported session means.

Two explosive movements were performed 30 seconds before each attempt in the later sessions.

Study order matters: the two later conditions were counterbalanced; baseline always came first.

Both later conditions were significantly higher than the first-session baseline (push-ups: p = .004; chest passes: p = .025). Error bars show participant variability (±1 SD), not uncertainty in the paired difference. Study methods and source [8].

Wilcox and colleagues tested 12 male college athletes across three sessions. After a general and bench-specific warm-up, two plyometric push-ups or two 3–5 kg medicine-ball chest passes were performed 30 seconds before each 1RM attempt in counterbalanced second and third sessions.

Bench 1RM averaged 120.9 ± 23.2 kg in the first session, 123.8 ± 23.5 after push-ups and 124.0 ± 24.1 after chest passes; both later conditions were significantly higher than the first [8].

AMM Research · Visual 57 · Reported outcomes

Training volume depends on the outcome measured

Time under tension

Changed after conditioning

The protocol affected how long the athlete worked under tension.

Repetition count

No increase reported

The same protocol did not increase the number of completed repetitions.

In a bench-training-volume study, heavy bench conditioning changed time under tension without increasing repetition count [9]. For repeated sets, track repetitions, time under tension and velocity loss separately.

AEL and Subsequent Concentric Performance

The proposed AEL mechanism is that a heavier descent may increase preactivation or residual force enhancement before the press. Direct bench evidence is inconsistent. In 10 trained men, lowering 110% and pressing 85% produced a slower second repetition and an earlier, lower sticking region than 85/85 despite higher activation in some muscles [10].

AMM Research · Visual 54 · Study results

Concentric velocity across three repetitions

Repetition 1 · exposed to AEL

Effect -0.25

Repetition 1 · exposed to AEL Repetition 1 · exposed to AEL: effect size -0.25; 95% confidence interval -0.33 to -0.16. The bar starts at zero; whiskers show the confidence interval. −0.4 −0.2 0.0 0.2 Standardized effect size
95% CI -0.33 to -0.16

Repetition 2

Effect 0.01

Repetition 2 Repetition 2: effect size 0.01; 95% confidence interval -0.10 to 0.12. The bar starts at zero; whiskers show the confidence interval. −0.4 −0.2 0.0 0.2 Standardized effect size
95% CI -0.10 to 0.12

Repetition 3

Effect 0.08

Repetition 3 Repetition 3: effect size 0.08; 95% confidence interval -0.08 to 0.23. The bar starts at zero; whiskers show the confidence interval. −0.4 −0.2 0.0 0.2 Standardized effect size
95% CI -0.08 to 0.23

Yang et al. (2026): eight studies pooled bench press and squat protocols. AEL was applied to the first repetition. Bars compare AEL with conventional loading; negative values mean lower velocity with AEL. Whiskers show 95% CIs. Source [11].

The first repetition was slower on average; later estimates were near zero with intervals crossing zero. Evidence certainty: moderate for repetition 1, low for repetition 2, very low for repetition 3.

Yang and colleagues pooled eight AEL studies. Mean concentric velocity was significantly lower on the repetition exposed to AEL (effect size −0.25), then similar on repetitions two and three [11].

Zhang and colleagues found similar acute submaximal concentric performance and chronic strength gains with AEL and constant loading, with higher perceived effort during AEL [12].

Pre-register

Choose one outcome, acceptable technique and smallest worthwhile change.

Randomize

Compare conditioning and complete-warm-up control days in concealed order.

Time

Test fixed delays (such as 4, 8 and 12 minutes) rather than the best-looking attempt.

Repeat

Use multiple matched sessions and compare the mean difference with normal error.

An N-of-1 protocol worth keeping

  1. Choose one target. Use the actual competition or training outcome: 30% bench-throw velocity, medicine-ball distance, valid 1RM, or another repeatable measure.
  2. Complete the real warm-up. Include the general, specific and high-intensity work the athlete would ordinarily use.
  3. Establish reliability. Measure baseline on several days before interpreting a one-day personal best, using the setup controls in Stability, Traction & Setup Repeatability.
  4. Use the smallest conditioning dose. Start with one to three heavy reps, two to five ballistic contacts, or a brief isometric, not a fatiguing workout.
  5. Sample time. For heavy bench before a light throw, test roughly 4, 8 and 12 minutes across separate exposures. Ballistic activity may use shorter windows.
  6. Compare with a warm-up-only control. Randomize order across sessions and keep motivation, feedback and equipment constant.
  7. Keep a responder rule. Retain the protocol only if improvement exceeds normal test noise on more than one day without harming the next task.

Published starting conditions

Match the experiment to the target task

  • Light ballistic bench throw

    Evidence-led conditioning option
    One low-volume bench set at 60–84% 1RM
    Initial rest window
    5–7 min
    Failure criterion
    Velocity does not exceed reliable warm-up baseline
  • Light ballistic bench throw after heavy work

    Evidence-led conditioning option
    Low-volume bench at ≥80% 1RM
    Initial rest window
    8–12 min
    Failure criterion
    Throw speed or power remains depressed
  • Maximal bench attempt

    Evidence-led conditioning option
    Two explosive push-ups or chest passes
    Initial rest window
    About 30 s as an experiment
    Failure criterion
    Technique or attempt readiness worsens; no repeated benefit
  • Repeated bench sets

    Evidence-led conditioning option
    No default; test separately
    Initial rest window
    Outcome-specific
    Failure criterion
    Repetitions, velocity loss or total session quality declines

Use the published rest windows to begin testing, then adjust them to the athlete’s repeated response.

Where the Launch Pad Findings Fit in the PAPE Evidence

The acute Launch Pad crossover tested five bench repetitions at 70% 1RM in 10 resistance-trained men. Mean and peak concentric velocity, pectoralis surface EMG and vertical displacement were higher with The Launch Pad® [13]. This study compared pressing surfaces during the lift; PAPE studies test a conditioning activity’s effect on a later effort.

The four-week study in 42 intermediate-trained men assessed strength gains with eccentric-overload training [14]. The eight-week study in 30 collegiate football players assessed bench strength, muscular endurance and seated medicine-ball throw performance [15]. Together, they address equipment effects within a session and adaptation across a training block.

Test the warm-up you would actually use

Compare a low-volume conditioning activity with a complete warm-up across multiple days. Keep it only when the gain is repeatable, task-specific and larger than measurement noise.

References

  1. Blazevich, A. J., & Babault, N. (2019). Post-activation potentiation versus post-activation performance enhancement in humans: historical perspective, underlying mechanisms, and current issues. Frontiers in Physiology, 10, 1359. https://doi.org/10.3389/fphys.2019.01359 ↩
  2. Seitz, L. B., & Haff, G. G. (2016). Factors modulating post-activation potentiation of jump, sprint, throw, and upper-body ballistic performances: a systematic review with meta-analysis. Sports Medicine, 46, 231–240. https://doi.org/10.1007/s40279-015-0415-7 ↩
  3. Bryant, J. (2013). Bench Press: The Science (p. 26). JoshStrength LLC. Practitioner source supplied for historical context. ↩
  4. Krzysztofik, M., Wilk, M., Stastny, P., & Golas, A. (2021). Post-activation performance enhancement in the bench press throw: a systematic review and meta-analysis. Frontiers in Physiology, 11, 598628. https://doi.org/10.3389/fphys.2020.598628 ↩
  5. Finlay, M. J., Bridge, C. A., Greig, M., & Page, R. M. (2022). Upper-body post-activation performance enhancement for athletic performance: a systematic review with meta-analysis and recommendations for future research. Sports Medicine, 52, 847–871. https://doi.org/10.1007/s40279-021-01598-4 ↩
  6. Xu, K., Blazevich, A. J., Boullosa, D., Ramirez-Campillo, R., Yin, M., Zhong, Y., et al. (2025). Optimizing post-activation performance enhancement in athletic tasks: a systematic review with meta-analysis for prescription variables and research methods. Sports Medicine, 55, 977–1008. https://doi.org/10.1007/s40279-024-02170-6 ↩
  7. Fan, Z., Fan, Z., Zhao, Z., Zou, Y., & Zhang, Q. (2025). The effect of velocity-based training on inducing postactivation performance enhancement. International Journal of Sports Medicine, 46(12), 885–897. https://doi.org/10.1055/a-2617-6856 ↩
  8. Wilcox, J., Larson, R., Brochu, K. M., & Faigenbaum, A. D. (2006). Acute explosive-force movements enhance bench-press performance in athletic men. International Journal of Sports Physiology and Performance, 1, 261–269. https://doi.org/10.1123/ijspp.1.3.261 ↩
  9. Krzysztofik, M., Wilk, M., Filip, A., Zmijewski, P., Zajac, A., & Tufano, J. J. (2020). Can post-activation performance enhancement improve resistance training volume during the bench press exercise? International Journal of Environmental Research and Public Health, 17, 2554. https://doi.org/10.3390/ijerph17072554 ↩
  10. Kristiansen, E. L., Larsen, S., & van den Tillaar, R. (2022). The acute effect of accentuated eccentric overloading upon kinematics and myoelectric activity in the eccentric and concentric phase of a traditional bench press. Sports, 10, 6. https://doi.org/10.3390/sports10010006 ↩
  11. Yang, J., Nagatani, T., Comfort, P., Kendall, K. L., & Haff, G. G. (2026). Acute effects of accentuated eccentric loading on mean concentric velocity during resistance training: a systematic review and meta-analysis. Sports Medicine - Open, 12, 74. https://doi.org/10.1186/s40798-026-01031-y ↩
  12. Zhang, X., Weakley, J., Li, H., Marcos-Frutos, D., & García-Ramos, A. (2026). Acute and chronic effects of accentuated eccentric loading vs. constant-load resistance training: a systematic review and meta-analysis. Sports Medicine, 56, 1749–1770. https://doi.org/10.1007/s40279-026-02422-7 ↩
  13. Kidwell, J. A., Yamamoto, T., Hetherton, K. J., Truneh, N., Bright, J. J., Blatney, A. E., et al. (2026). Acute effects of thoracic-spinal elevation via a novel bench press pad on sEMG and barbell kinetics in resistance-trained males. International Journal of Exercise Science, 19(1), 1003. https://doi.org/10.70252/IJES2026103 ↩
  14. Goldman, P., Taylor, J., Yamamoto, T., Blatney, A. E., Sahni, T. K., Lechner, R. J., et al. (2025). Eccentrically overloaded bench press training: Augmenting strength gains via a novel bench press pad. Scientific Journal of Sport and Performance, 4(4), 480–490. https://doi.org/10.55860/JCDL3612
  15. Blatney, A. E., Kidwell, J. A., Yamamoto, T., Goldman, P., Hetherton, K. J., & Dolezal, B. A. (2026). Effects of an eight week training regimen with a novel bench press pad compared to a traditional bench on upper body strength and performance in collegiate American football players. Scientific Journal of Sport and Performance, 5(1), 10–21. https://doi.org/10.55860/RNUB8627