Evidence map›Paper›PMID 42784381›Full record

ArticleSports (Basel, Switzerland)2026

A Retrospective Weekly Rating of Perceived Exertion Measure May Assist Training Load Monitoring in Professional Tennis Players.

Diego H Méndez, Federico J Villalba, Santiago Soliño, Tim J Gabbett

Abstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2026. 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

4 authors.

Diego H MéndezSports Physiotherapy Specialty, Favaloro University, Buenos Aires 1078, Argentina.ORCID 0000-0001-5164-7662
Federico J VillalbaSports Physiotherapy Specialty, Favaloro University, Buenos Aires 1078, Argentina.ORCID 0000-0001-7934-8760
Santiago SoliñoSports Physiotherapy Specialty, Favaloro University, Buenos Aires 1078, Argentina.ORCID 0000-0001-7001-8108
Tim J GabbettGabbett Performance Solutions, Sunshine Coast 4573, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The session rating of perceived exertion (s-RPE) is a validated tool for monitoring subjective training intensity across various sports. We aimed to assess the association between s-RPE recorded within 30 min post-training and a single retrospective weekly RPE (wRPE) reported at the end of the week. We tracked the training loads (TLs) of eight professional tennis players over one season and analyzed the association among three parameters: the weekly average of session-specific RPE (mRPE) vs. wRPE; weekly TL (s-RPE × duration) derived from both mRPE and wRPE; and week-to-week percentage changes in TL. We employed a nested model and a Bland-Altman analysis to evaluate association, bias, and limits of agreement. Our analysis revealed very large associations between mRPE and wRPE (r = 0.804) and between week-to-week TL progressions (r = 0.885). The association between TL measures themselves was nearly perfect (r = 0.974). Bland-Altman plots demonstrated superior agreement at lower loads, whereas higher loads were associated with greater variability. We conclude that a single self-reported measure at the end of the week was strongly associated with session-derived RPE, TL, and weekly TL progression in professional tennis players. Nevertheless, these two approaches are not interchangeable, and consistency in the chosen method is key for reliable TL monitoring in professional tennis players.

Indexed as

athletesconcordanceinternal loadsession-RPEsports

Identifiers

PMID42784381
PMCPMC13611009

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.