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Record W3111733675 · doi:10.1016/j.rasd.2021.101911

Emotion dysregulation in children with autism: A multimethod investigation of the role of child and parent factors

2022· article· en· W3111733675 on OpenAlexafffund
Annie S. Mills, Paula Tablon Modica, Carla A. Mazefksy, Jonathan A. Weiss

Bibliographic record

VenueResearch in autism spectrum disorders · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsYork University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchKids Brain Health Network
KeywordsAutismPsychologyDevelopmental psychologyObservational studyClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Children with autism have been found to experience greater difficulties with emotion regulation than peers without autism. Characteristics related to autism (i.e., social communication challenges, restricted repetitive behaviours, inhibitory control difficulties) and external parent factors (i.e., parent stress, mindful parenting) have been suggested to contribute to the emotion dysregulation (ED) experienced by youth with autism. The current study evaluated associations between child and parent factors and two indices of child ED (parent report and observational behaviour coding), in 44 children with autism, ages 8–13 years. Child autism symptomology, inhibitory control difficulties, parental stress and mindful parenting were all associated with parent reported ED, but not with observed ED. Similarly, linear regressions revealed that these factors jointly predicted parent reported ED, but not observed ED. Restricted interests/repetitive behaviours and inhibitory control difficulties emerged as unique positive predictors of parent reported ED. Findings highlight the importance of using a multimethod approach and of considering child- and parent-level factors when investigating ED 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 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)0.000
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 score0.035
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.340
Teacher spread0.306 · 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

Citations28
Published2022
Admission routes2
Has abstractyes

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