Evidence map›Paper›PMID 40680015›Full record

ArticlePloS one2025

Optimization of applied loads for assessing load-velocity relationship during back squat.

Zhaoqian Li, Litong Xiao, Xing Zhang, Changda Lu, Junbei Bai

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Zhaoqian LiDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Spain.
Litong XiaoDepartment of Military Training, Officers·College of Chinese People's Armed Police Force, Chengdu, China.
Xing ZhangDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Spain.
Changda LuSchool of Sport Science, Beijing Sport University, Beijing, China.
Junbei BaiCompetitive Sports No.4 Room, Beijing Research Institute of Sports Science, Beijing, China.ORCID https://orcid.org/0009-0004-1888-1405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to identify the lightest load to validate the load-velocity (L-V) relationship in the back squat using the modified multiple-point (a lower highest load compared to the standard method) and in-field two-point methods.

methodsFollowing the measurement of back squat one-repetition maximum (1RM), twenty college amateur athletes performed a multi-point incremental loads test (20%, 40%, 60%, 70%, 80%, and 90% 1RM), and five two-point tests (20%&90%, 20%&80%, 20%&70%, 20%&60%, and 20%&40% 1RM). The mean velocity (MV) of each submaximal load was collected to model the individual L-V relationship.

resultsThe concurrent validity of the modified multiple-point method worked in incremental loads test until 70% and 80%1RM and for the in-field two-point method it only worked in 20%&90% 1RM conditions (-0.45 ≤ effect size ≤ 0.59; r ≥ 0.810). MV of heavy load in the in-field two-point method was higher than the standard method.

conclusionModified multiple-point method assessing squat L-V relationship variables can choose the incremental load from 20% 1RM to 70%1RM (light load velocity at around 1.0 m/s and heavy load MV around 0.6 m/s) but in-filed two-point method should choose the lightest and heaviest load, around 20%1RM and 90%1RM (light load MV around 1.0 m/s and heavy load MV around 0.4 m/s).

Indexed as

Resistance TrainingWeight-BearingWeight LiftingAthletesBiomechanical PhenomenaExercise TestFemaleHumansMaleMuscle StrengthYoung Adult

Identifiers

PMID40680015
PMCPMC12273929

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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.