Evidence map›Paper›PMID 41210082›Full record

Trial reportJournal of sports science & medicine2025

Impact of Training Frequency on Mechanical Output and Perceived Exertion of Resistance Training with Velocity Loss Monitoring.

Zhaoqian Li, Ruixuan Li, Jintong Zheng, Zongwei Chen, Xing Zhang, Junbei Bai

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of sports science & medicine, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhaoqian LiDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Ruixuan LiSchool of Physical Education, China University of Geosciences (Wuhan).
Jintong ZhengSchool of Sports Medicine, Wuhan Sports University.
Zongwei ChenDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Xing ZhangDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Junbei BaiCompetitive Sports No.4 Room, Beijing Research Institute of Sports Science, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated how different weekly resistance training frequencies affect mechanical output and perceived exertion under velocity loss (VL) monitoring when the total number of sets per week was fixed. Fourteen well-trained male subjects participated in a repeated-measures design in which all participants performed three training frequency conditions (four, three, or two sessions per week) in randomized order. Each condition involved 12 total sets of back squats at 80% one repetition maximum (1RM) with a 20% VL, the total training sets evenly distributed across sessions. The results indicated that increasing training frequency allowed for lower perceived exertion (p = 0.005). Furthermore, the frequency of four sessions per week did not compromise velocity output or repetition performed in the following sets for within-session comparison (p ≥ 0.125), whereas the other two frequencies resulted in compromised performance with increasing numbers of sets performed. The frequency of three sessions per week resulted in a significant decrease in the following set, as shown in the number of repetitions performed per set (N

Indexed as

PerceptionPhysical ExertionResistance TrainingAdultHumansMaleMuscle StrengthWeight LiftingYoung AdultSquattraining frequencyvelocity-based trainingvelocity loss

Identifiers

PMID41210082
PMCPMC12590212

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.