Evidence map›Paper›PMID 40329142›Full record

SynthesisSports medicine (Auckland, N.Z.)2025

Children's and Adolescents' Actual Motor Competence, Perceived Physical Competence and Physical Activity: A Structural Equation Modelling Meta-Analysis.

Matthew Bourke, Hiu Fei Wendy Wang, Hughston Wicks, Lisa M Barnett, John Cairney, Kathryn Fortnum

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Matthew BourkeThe Health and Wellbeing Centre for Research Innovation, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia. matthew.bourke@uq.edu.au.ORCID 0000-0001-7088-4516
Hiu Fei Wendy WangThe Health and Wellbeing Centre for Research Innovation, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.
Hughston WicksSchool of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.
Lisa M BarnettInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia.ORCID 0000-0001-9911-3010
John CairneyThe Health and Wellbeing Centre for Research Innovation, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-2856-3967
Kathryn FortnumThe Health and Wellbeing Centre for Research Innovation, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-9190-558X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerceived physical competence (e.g. perceived motor skills, perceived athletic competence) is hypothesised to mediate the association between actual motor competence and physical activity in children, and this mediated association is expected to be stronger in older children and adolescents. However, no meta-analyses to date have synthesised the hypothesised mediation effect.

objectivesThe purpose of this study was to systematically identify and synthesise the existing literature on the hypothesised mediation model between actual motor competence, perceived physical competence and physical activity in children and adolescents using structural equation modelling meta-analysis.

methodsFive electronic databases were searched from inception to December 2023 using a range of keywords for actual motor competence, perceived physical competence, physical activity and children/adolescents. Machine learning assisted screening was used to identify studies which reported the association between at least two of the variables in the hypothesised model in children and adolescents aged 4-18 years. One-stage structural equation modelling meta-analysis was used to test the hypothesised model. Moderation analysis was conducted to determine whether any of the model parameters differed as a function of children's age.

resultsA total of 218 reports that reported on 213 studies met the inclusion criteria and were included in the meta-analysis. Results from studies which examined the concurrent association between actual motor competence (gross motor, locomotion, object control), perceived physical competence, and physical activity demonstrated that perceived physical competence only had a small absolute (0.029 ≤ r ≤ 0.034) and relative (16.7-20.6% of total effect) mediating effect on the association between actual motor competence and physical activity. Results from studies which examined lagged associations (11% of included studies) also demonstrated a small bidirectional mediation effect of perceived physical competence. The moderation model demonstrated the mediation effect was significantly stronger in adolescents than children, albeit still weak.

conclusionsPerceived physical competence is not a strong mediator of the association between actual motor competence and physical activity in children and adolescents. Given that the association between perceived physical competence and actual motor competence with physical activity are largely independent, there may be benefits to targeting both motor skills and perceived physical competence to increase engagement in physical activity.

Indexed as

ExerciseMotor SkillsAdolescentChildChild, PreschoolHumansLatent Class AnalysisPerception

Identifiers

PMID40329142
PMCPMC12460483

What OpenQuestion 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 OpenQuestion graph.