Evidence map›Paper›PMID 35247203›Full record

ReviewSports medicine (Auckland, N.Z.)2022

Methods for Controlling and Reporting Resistance Training Proximity to Failure: Current Issues and Future Directions.

Joshua C Pelland, Zac P Robinson, Jacob F Remmert, Rebecca M Cerminaro, Brian Benitez, Thomas A John, Eric R Helms, Michael C Zourdos

Abstract readReview
PubMed Publisher
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

8 authors.

Joshua C PellandDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Zac P RobinsonDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Jacob F RemmertDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Rebecca M CerminaroDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Brian BenitezDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Thomas A JohnDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Eric R HelmsDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA.
Michael C ZourdosDepartment of Exercise Science and Health Promotion, Muscle Physiology Research Laboratory, Florida Atlantic University, Boca Raton, FL, 33431, USA. mzourdos@fau.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance training variables such as volume, load, and frequency are well defined. However, the variable proximity to failure does not have a consistent quantification method, despite being defined as the number of repetitions in reserve (RIR) upon completion of a resistance training set. Further, there is between-study variability in the definition of failure itself. Studies have defined failure as momentary (inability to complete the concentric phase despite maximal effort), volitional (self-termination), or have provided no working definition. Methods to quantify proximity to failure include percentage-based prescription, repetition maximum zone training, velocity loss, and self-reported RIR; each with positives and negatives. Specifically, applying percentage-based prescriptions across a group may lead to a wide range of per-set RIR owing to interindividual differences in repetitions performed at specific percentages of 1 repetition maximum. Velocity loss is an objective method; however, the relationship between velocity loss and RIR varies set-to-set, across loading ranges, and between exercises. Self-reported RIR is inherently individualized; however, its subjectivity can lead to inaccuracy. Further, many studies, regardless of quantification method, do not report RIR. Consequently, it is difficult to make specific recommendations for per-set proximity to failure to maximize hypertrophy and strength. Therefore, this review aims to discuss the strengths and weaknesses of the current proximity to failure quantification methods. Further, we propose future directions for researchers and practitioners to quantify proximity to failure, including implementation of absolute velocity stops using individual average concentric velocity/RIR relationships. Finally, we provide guidance for reporting self-reported RIR regardless of the quantification method.

Indexed as

Resistance TrainingExerciseHumansHypertrophyMuscle, SkeletalMuscle Strength

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.