Evidence map›Paper›PMID 34236592›Full record

SynthesisJournal of autism and developmental disorders2022

Effects of Physical Exercise Interventions on Stereotyped Motor Behaviours in Children with ASD: A Meta-Analysis.

Elizabeth J Teh, Ranjith Vijayakumar, Timothy Xing Jun Tan, Melvin J Yap

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of autism and developmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 15% of its field
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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Elizabeth J TehDepartment of Otolaryngology/Division of Graduate Medical Studies, Yong Loo Lin School of Medicine, National University of Singapore, MD3, Level 2, 16 Medical Drive, Singapore, 117600, Singapore. entejt@nus.edu.sg.ORCID http://orcid.org/0000-0001-7389-1113
Ranjith VijayakumarDepartment of Psychology, National University of Singapore, Singapore, Singapore.
Timothy Xing Jun TanDepartment of Psychology, National University of Singapore, Singapore, Singapore.
Melvin J YapDepartment of Psychology, National University of Singapore, Singapore, Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have reported that physical exercise reduces maladaptive stereotyped motor behaviours (SMB) in children with ASD, but these intervention studies vary in design and outcome. The present systematic review and meta-analysis included 22 studies, involving 274 children with ASD, to quantify the effect of exercise on SMB and its potential moderators. Multi-level modelling revealed a large overall effect, Hedges' g = 1.16, with significant heterogeneity across participant, treatment, and study levels. Further, a more appropriate model using between-case estimation for within-subject effects to improve comparability between single-case and group-design studies, yielded a smaller but still significant effect, g = 0.51. Lastly, higher exercise intensity, but not age, exercise duration or settings, reliably predicted treatment effectiveness. Implications for clinical practice and research are discussed.

Indexed as

Autism Spectrum DisorderChildExerciseExercise TherapyHumansStereotyped BehaviorTreatment OutcomeAutism spectrum disorderChildrenExercise interventionMeta-analysisSingle-case designsStereotyped motor behaviours (SMB)

Identifiers

PMID34236592
OpenAlexW3180670099

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.