Evidence map›Paper›PMID 41509277›Full record

ArticlebioRxiv : the preprint server for biology2025

A Model to Simulate the Interference Effects of Acute Aerobic Exercise on Rate of Force Development in Weightlifters.

Emidio E Pistilli, Alan D Mizener, Stuart A Clayton

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Emidio E PistilliDivision of Exercise Physiology, Department of Human Performance, West Virginia University, Morgantown, WV, USA.
Alan D MizenerCancer Institute, MD/PhD Training Program, West Virginia University, Morgantown, WV, USA.
Stuart A ClaytonDivision of Exercise Physiology, Department of Human Performance, West Virginia University, Morgantown, WV, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compelling data supports the concept that concurrent strength and aerobic training can interfere with adaptations to strength training related to speed, power, and rate of force development (RFD). Studies on this topic have primarily utilized non-athlete participants, with data subsequently extrapolated to athlete populations. Since there may be hesitancy to have athletes involved in research on the interference effects of aerobic exercise on strength specific adaptations, we built a model to simulate these effects and develop an equation to predict interference. The hypothesis tested in this project was that aerobic exercise is the main driver of interference on weightlifting-associated RFD, and that this interference can be modeled to generate an equation to predict changes in RFD. Python software was used to generate the model, perform the simulation and optimize variables that contribute to the interference effect. A nonlinear exponential interference model was created that simulates the changes in RFD from a force-time curve in response to acute aerobic exercise lasting from 2-minutes to 60-minutes in duration. RFD sensitivity to aerobic exercise was modeled such that values were reduced by approximately 70% after aerobic exercise less than 10 minutes, with further reduction to 80% with durations greater than 10-minutes. The prediction equation can be used by strength coaches to predict the interference of acute aerobic exercise on RFD and subsequently allow the coach to make informed decisions on training program design if there is a need to include aerobic exercise in a strength and/or power-based periodized plan.

Indexed as

concurrent trainingsimulationweightlifting

Identifiers

PMID41509277
PMCPMC12776092

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.