Evidence map›Paper›PMID 39183856›Full record

ArticleHeliyon2024

Motor competence is related to acquisition of error-based but not reinforcement learning in children ages 6 to 12.

Jeffrey D Konrad, Natasha Marrus, Keith R Lohse, Kayla M Thuet, Catherine E Lang

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Jeffrey D KonradWashington University School of Medicine: Program in Physical Therapy, USA.
Natasha MarrusWashington University School of Medicine: Department of Psychiatry, USA.
Keith R LohseWashington University School of Medicine: Program in Physical Therapy, USA.
Kayla M ThuetWashington University School of Medicine: Program in Physical Therapy, USA.
Catherine E LangWashington University School of Medicine: Program in Physical Therapy, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An essential component of childhood development is increasing motor competence. Poor motor learning is often thought to underlie impaired motor competence, but this link is unclear in previous studies. Aims: Our aim was to test the relationship between motor competence and motor learning in the acquisition phase. Both reinforcement learning (RL) and error-based learning (EBL) were tested. We hypothesized that slower RL and slower EBL acquisition rates would relate to lower motor competence. Methods and procedures: Eighty-six participants ages 6-12 performed a target throwing task under RL and EBL conditions. The Movement Assessment Battery for Children - 2nd edition (MABC-2) provided a measure of motor competence. We assessed EBL and RL acquisition rates, baseline variability, and baseline bias from the throwing task. Outcomes and results: In a multiple linear regression model, baseline variability (β = -0.49, p = <0.001) and the EBL acquisition rate (β = -0.24, p = 0.018) significantly explained the MABC-2 score. Participants with higher baseline variability and slower EBL acquisition had lower motor competence scores. The RL acquisition rate was independent of MABC-2 score suggesting that RL may be less of a contributor to poor motor competence. Conclusions and implications: Children with slower EBL acquisition had lower motor competence scores but RL acquisition was unrelated to the level of motor competence. Emphasizing the unrelated reinforcement mechanisms over error-based mechanisms during motor skill interventions may help children with poor motor competence better acquire new motor skills.

Indexed as

Error-based learningMABC-2Motor competenceMotor coordinationReinforcement learning

Identifiers

PMID39183856
PMCPMC11341300

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.