Evidence map›Paper›PMID 41758294›Full record

ArticleSports medicine - open2026

Do Training Load Metrics Agree? A Comparison of Session Rate of Perceived Exertion, Physiological and Biomechanical Load in Outdoor Running.

Bouke L Scheltinga, Jaap H Buurke, Joost N Kok, Jasper Reenalda

Abstract read
In one paragraph

Article in Sports medicine - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Bouke L ScheltingaBiomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands. b.l.scheltinga@utwente.nl.ORCID http://orcid.org/0000-0002-4748-2321
Jaap H BuurkeBiomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands.ORCID http://orcid.org/0000-0003-4323-1047
Joost N KokBiomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands.ORCID http://orcid.org/0000-0002-7352-1400
Jasper ReenaldaBiomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands.ORCID http://orcid.org/0000-0002-0415-6630

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek Nederlandse Organisatie voor Wetenschappelijk Onderzoek
6 · The paper itself

Abstract

backgroundMonitoring training load is an important aspect of optimizing performance and preventing overuse injuries in runners. This is the first study comparing physiological, biomechanical and subjective load between typical outdoor training sessions, contributing to the transfer of methodologies from the gait laboratory to real-world conditions with the final goal of improving athlete monitoring.

methodsTwelve experienced runners participated in distinct sessions: an endurance run, a submaximal effort, and interval training, which varied in perceived exertion. Using heart rate monitors, inertial measurement units and questionnaires, estimated cumulative load and its correlation with session Rate of Perceived Exertion (sRPE) and physiological load calculated via Training Impulse (TRIMP) were analysed.

resultssRPE significantly distinguished between session types, while TRIMP and cumulative biomechanical load did not. Furthermore, correlations between the three training load metrics were weak to moderate (sRPE vs. TRIMP: r = 0.49; sRPE vs. weighted cumulative load: r = 0.25; weighted cumulative load vs. TRIMP: r = 0.35), where only sRPE and TRIMP correlated significantly (p < 0.05). This suggests that the different measures capture different aspects of load or that the measures could be inadequate to capture load.

conclusionObjective physiological and biomechanical metrics alone may not adequately reflect athletes' perceived exertion when training includes different session types. This highlights the importance of using a multifactorial approach to training load monitoring in running.

Indexed as

Biomechanical loadCumulative loadGround reaction forceInertial measurement unitPhysiological loadRate of perceived exertionRunningTraining load

Identifiers

PMID41758294
PMCPMC12949214

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.