Evidence map›Paper›PMID 41882173›Full record

SynthesisScientific reports2026

Effects of immersive training on motor competence: a systematic review and meta-analysis.

Yuyang Ji, Bin Wang, Qingqiong Yang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 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

3 authors.

Yuyang JiSchool of Physical Education, Yunnan Normal University, Kunming, 650500, China.
Bin WangSchool of Physical Education, Yunnan Normal University, Kunming, 650500, China. wangbbin1@ynnu.edu.cn.
Qingqiong YangSchool of Physical Education, Yunnan Normal University, Kunming, 650500, China. yangqingqiong@ynnu.edu.cn.

Funding

National Social Science Fund of China 21BTY119
6 · The paper itself

Abstract

Augmented reality (AR) and virtual reality (VR) immersive training have gained attention for enhancing motor skills and rehabilitation, yet evidence on their effects in specific motor competence domains remains inconsistent due to outcome heterogeneity. This systematic review and meta-analysis evaluated the impact of immersive AR and/or VR training on domain-specific motor competence (stability and functional mobility; object control and visuomotor skills) in healthy individuals and athletes. We searched Web of Science, PubMed, Cochrane Library, Scopus, CNKI, and EBSCO from inception to October 2025 for randomized controlled trials and controlled intervention studies comparing immersive AR and/or VR training with conventional training or no-intervention controls. The review followed PRISMA 2020 guidelines and was prospectively registered in PROSPERO (CRD420251238825). Eligible studies involved healthy or athletic participants reporting motor performance outcomes, classified into domain-specific constructs: stability and functional mobility (e.g., locomotor skills/mobility, postural stability) and object control and visuomotor skills (e.g., complex sport-specific skills, fundamental visuomotor abilities). These domains were further grouped by skill type, predominantly closed skills (predictable environments) versus open skills (unpredictable, dynamic environments). A random-effects model was used to compute standardized mean differences (SMD; Hedges' g), with heterogeneity assessed via I

Indexed as

Augmented RealityMotor SkillsVirtual RealityAthletesHumansPsychomotor PerformanceAugmented realityImmersive trainingMeta-analysisMotor competenceMotor skillsVirtual reality

Identifiers

PMID41882173
PMCPMC13172324

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.