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Record W4402772328 · doi:10.1080/13575279.2024.2387665

Effects of Ball-Vests for Children Exhibiting Sensory Seeking Behaviour: A Pragmatic Randomized Controlled Trial

2024· article· en· W4402772328 on OpenAlexfundno aff
Ann Natasja Nielsen, Sören Möller, Karen la Cour, Åse Brandt

Bibliographic record

VenueChild Care in Practice · 2024
Typearticle
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsnot available
FundersErgoterapeutforeningenOntario Society of Occupational TherapistsInnovationsfonden
KeywordsPsychologyBall (mathematics)Randomized controlled trialSensory systemDevelopmental psychologyAudiologyCognitive psychologyMedicine

Abstract

fetched live from OpenAlex

Children with challenges processing sensory information can have difficulties affecting their ability to participate in school activities, which may affect their potential for learning. The aim of this study was to examine the possible effects of an intervention with three weeks use of ball-vests that provide proprioceptive-tactile stimulation for children exhibiting sensory seeking behaviour. Methods: The study was a pragmatic randomized controlled trial that included 142 children (105 boys and 37 girls, mean age 8.9 years) with dysfunction in sensory processing and sensory seeking behaviour. The children´s ability for attention was measured with the “Test of Everyday Attention-Children” (TEA-Ch), their occupational competence in school activities with the “Child Occupational Self-Assessment” (COSA) and the extent of off-task behaviour with the “Observational off-task Behavior among School-children” (OBS-Children). Data was analysed using linear mixed model regression. Results: Children in the intervention group had a significantly larger increase in self-assessed occupational competence than children in the control group (B = 5.78, p = 0.004). No differences regarding attention or extent of off-task behaviour between intervention and control group were found.Trial registration: ClinicalTrials.gov identifier: NCT04173871..

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.030
GPT teacher head0.350
Teacher spread0.321 · 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 designRandomized trial
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

Citations0
Published2024
Admission routes1
Has abstractyes

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