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Record W4405388353 · doi:10.3822/ijtmb.v17i4.1079

Effects of Massage on Self-regulatory Difficulties, Tactile and Oral Abnormalities, and Parenting Stress in Children with Autism Spectrum Disorder (ASD): A Systematic Review and Meta-analysis

2024· review· en· W4405388353 on OpenAlexvenueno aff
Hammad Ali Fadlalmola, Huda Hassabelrasool Abedelwahed, Hawa Ibrahim Hamid, Halima Abd Alrahim Algadi, Somia Jadalla Ali Farg, Ashraf Abdelrhman Elbashir, Suhair Salah Mohmmed, Salwa Ali Mousa, Amna Ahmed Eltyeb

Bibliographic record

VenueInternational Journal of Therapeutic Massage & Bodywork Research Education & Practice · 2024
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsAutismAutism spectrum disorderVineland Adaptive Behavior ScaleChildhood Autism Rating ScalePsychologyChecklistMassagePsychological interventionRating scaleClinical psychologySocializationDevelopmental psychologyNonverbal communicationMedicinePsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

Background: The Centers for Disease Control and Prevention stated that about 1 in every 44 children between the ages of 4 and 8 years old had been identified with autism spectrum disorder (ASD). Complementary interventions such as massage are crucial for the improvement of the health outcomes of ASD patients, such as abnormal sensory response; Autism Behavior Checklist; parenting stress, self-regulatory difficulties, social, language, and communication abilities; tactile or oral abnormalities; Vineland daily living skills; Vineland socialization; Childhood Autism Rating Scale; Preschool Language Scale 5th Edition (PLS-5) auditory communication; and PLS-5 expressive communication. Purpose: We aim to systematically investigate the effects of different types of massage on self-regulatory difficulties, tactile and oral abnormalities, and parenting stress in children with ASD. Methods: PubMed, Cochrane Library, Scopus, and Web of Science were scoured from their inception through November 15, 2022. Research comparing massage efficacy in children with ASD to other methods or a control group was included. For randomized controlled trials (RCTs), we utilized the Cochrane risk of bias tool; and for cohort studies, we used the tool developed by the National Institutes of Health. Meta-analysis was carried out with Review Manager 5.4. For our continuous data, we calculated the mean difference (MD) and 95% confidence interval (95% CI). Results: We included 10 studies with a total number of 485 children with autism. Our analysis showed a significant decrease in the massage group regarding self-regulatory difficulties (MD = -9.15; 95% CI (-13.69 to -4.60), p < 0.0001). Also, the massage group showed a significant decrease in tactile or oral abnormalities compared with the control group (MD = -4.83; 95% CI (-7.86 to -1.80), p = 0.002). Moreover, parenting stress significantly decreased in the massage group compared to the control group (MD = -4.31; 95% CI (-7.02 to -1.61), p = 0.002). Conclusion: Qigong and traditional Thai massage improved self-regulatory difficulties and decreased tactile or oral abnormalities in children with autism. Moreover, they decreased parenting stress. However, we need more RCTs with larger sample sizes with high quality to assess the different types of massage effects on autistic children and produce more valid results. So, Qigong and traditional Thai massage could be used as a complement to educational and training interventions in children with autism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0190.030
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.413
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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