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Record W2913110425 · doi:10.3389/fpsyg.2019.00120

Scoping Review: Physical Activity and Social Functioning in Young People With Autism Spectrum Disorder

2019· article· en· W2913110425 on OpenAlexafffund
Nicole Reinders, Alexandra Branco, Kristen Wright, Paula C. Fletcher, Pamela J. Bryden

Bibliographic record

VenueFrontiers in Psychology · 2019
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsWilfrid Laurier University
FundersWilfrid Laurier University
KeywordsPsychologyAutism spectrum disorderAutismPhysical activitySocial functioningDevelopmental psychologyClinical psychologyPhysical medicine and rehabilitationMedicine

Abstract

fetched live from OpenAlex

Autism Spectrum Disorder (ASD) affects ~1 in 59 people in North America and diagnoses continue to rise (Center for Disease Control and Prevention, 2018). Unfortunately, the exact cause of ASD is unknown and therapy remains the primary means of intervention. People with ASD experience social and behavioral deficits associated with the disorder, which affect all aspects of life such as academics, relationships, and physical activity. Research has shown a relationship between physical activity and social skills in typically developing individuals; however, this relationship is less understood in people with ASD. The purpose of this scoping review was to uncover what is known about ASD, physical activity, and social functioning. The authors searched four databases and included 40 primary research articles in the review, most of which demonstrated a relationship between physical activity and social functioning for people with ASD. The relationship appears bidirectional: social functioning influences physical activity (to a lesser extent) and physical activity influences social functioning (to a greater extent). Regrettably, there were many limitations in these articles, such as small sample sizes and the under-representation of females and adults. Therefore, the review highlights several directions for future research.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.333
Teacher spread0.316 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations81
Published2019
Admission routes2
Has abstractyes

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