Evidence map›Paper›PMID 42606774›Full record

ReviewSports medicine - open2026

Predictive Processing in Sport and Exercise Science: A Scoping Review and Theoretical Overview.

David J Harris, Callum A O'Malley, Damian Beck, Stephan Zahno, Thomas Arthur

Abstract readReview
In one paragraph

Review 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 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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.

David J HarrisDepartment of Public Health and Sport Sciences, Exeter Medical School, University of Exeter, Exeter, UK. D.J.Harris@exeter.ac.uk.ORCID http://orcid.org/0000-0003-3880-3856
Callum A O'MalleyDepartment of Public Health and Sport Sciences, Exeter Medical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-6902-7960
Damian BeckInstitute of Sport Science, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0009-0005-8904-9832
Stephan ZahnoInstitute of Sport Science, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0003-4633-9950
Thomas ArthurDepartment of Public Health and Sport Sciences, Exeter Medical School, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-1018-3627

Funding

Leverhulme Trust Fellowship
6 · The paper itself

Abstract

backgroundThis scoping review explored the application of predictive processing in sport and exercise science, examining how cognitive and computational models have been used to understand perceptual-motor skills, decision-making, and physical performance. The review provides a tutorial introduction to key concepts in the predictive processing literature and maps the extent of research in this area, identifying key domains of application and the level of empirical support.

methodsA systematic search of EMBASE, Medline, PsycINFO, and SPORTDiscus databases was performed, adhering to JBI methodology and the PRISMA Extension for Scoping Reviews.

resultsTwenty relevant empirical studies were discovered across all domains of sport and exercise science. Despite promising evidence, the review also uncovers significant gaps, particularly in comparing predictive-processing-specific mechanisms to alternative theories and exploring the broader implications of predictive processing for skill acquisition and training interventions.

conclusionsBased on these findings, the review outlines recommendations for future research, calling for more targeted investigations that empirically test predictive processing predictions and an expansion of this approach to new areas of sport science.

Indexed as

Active inferenceBayesianFree energyPerformanceSkill acquisition

Identifiers

PMID42606774
PMCPMC13481637

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.