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Record W2760600963 · doi:10.1002/aur.1877

Everyday executive function predicts adaptive and internalizing behavior among children with and without autism spectrum disorder

2017· article· en· W2760600963 on OpenAlexafffund
Emily Gardiner, Grace Iarocci

Bibliographic record

VenueAutism Research · 2017
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsSimon Fraser UniversityBC Children's HospitalUniversity of British Columbia
FundersMichael Smith Health Research BCBoston College
KeywordsPsychologyAutism spectrum disorderAnxietyAdaptive behaviorClinical psychologyAutismDevelopmental psychologyMental healthIntervention (counseling)Executive functionsCognitionPsychiatry

Abstract

fetched live from OpenAlex

Individuals with autism spectrum disorder (ASD) demonstrate challenges with executive function (EF), adaptive behavior, and mental health, all of which place long-term wellbeing at risk. In the current study we examined the relation between parent-rated EF and adaptive functioning and internalizing symptoms (anxiety, depression), as we expected that identifying the specific EF domains most closely related to these indices of functioning would illuminate opportunities for targeted intervention. Participants included 59 children and adolescents with ASD (M = 10.1 years) and 67 who were typically developing (TD) (M = 9.4 years) matched on age, IQ, mental age, and maternal education. Caregivers completed the Behavior Rating Inventory of EF (BRIEF) and Behavior Assessment System for Children, Second Edition (BASC-2). Parents rated children with ASD as demonstrating significantly more challenges across most of the examined BRIEF and BASC-2 indices and scales, with the exception of organization of materials (BRIEF) and anxiety (BASC-2). For both groups, metacognitive EF processes emerged as strongly associated with practical, conceptual, and social skills, though different BRIEF scales emerged as significant across the component subdomains. In terms of the relation with mental health, BRIEF index scores were unrelated to anxiety for both groups. Behavior regulation, however, was significantly associated with depression symptoms for children with and without ASD. The findings highlight the possibility that targeting particular EF domains among individuals with and without ASD may not only have direct benefit for behavior regulation and metacognitive abilities, but may also extend to other areas of life, including adaptive behavior and concomitant internalizing symptomatology. Autism Res 2018, 11: 284-295. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We examined whether parents' ratings of their children's flexibility and ability to monitor their behavior predicted adaptive skills (e.g., ability to complete day-to-day personal tasks, communicate, and socialize) and symptoms of anxiety and depression among children with and without autism spectrum disorder. For both groups, children's abilities to manage and monitor their behavior were strongly related to adaptive skills. Children's flexibility and ability to inhibit inappropriate behavior and control their emotions was associated with depression symptoms for both groups.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.341
Teacher spread0.286 · 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 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

Citations116
Published2017
Admission routes2
Has abstractyes

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