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Record W4404834006 · doi:10.1177/13623613241296589

Longitudinal associations between autistic children’s anxiety and social communication differences: The moderating role of executive function behaviours

2024· article· en· W4404834006 on OpenAlexafffund
Elise Ng‐Cordell, Hannah Pickard, Rachael Bedford, Annie Richard, Anat Zaidman‐Zait, Lonnie Zwaigenbaum, Eric Duku, Teresa Bennett, Stelios Georgiades, Isabel M. Smith, Tracy Vaillancourt, Péter Szatmári, Mayada Elsabbagh, Connor M. Kerns

Bibliographic record

VenueAutism · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsMcGill UniversityUniversity of OttawaMcMaster UniversityUniversity of AlbertaUniversity of TorontoDalhousie UniversityIzaak Walton Killam Health CentreHospital for Sick ChildrenUniversity of British Columbia
FundersCanadian Institutes of Health ResearchAlberta InnovatesKillam TrustsKids Brain Health NetworkChildren Neurodevelopmental Disorders NetworkMichael Smith Health Research BCAlberta Innovates - Health SolutionsSinneave Family FoundationAutism Speaks
KeywordsPsychologyAnxietyModerationPreadolescenceDevelopmental psychologyAutismLongitudinal studySocial anxietySocial relationClinical psychologyPsychiatrySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Anxiety has been associated with social communication and interaction differences among autistic children. We sought to clarify the direction of these associations longitudinally, and test executive function as a moderator. Participants were autistic children ( N = 157; 15% female, 85% male) engaged in a longitudinal study. Analyses focused on two timepoints during preadolescence ( M ages 9.7 and 10.7 years). A cross-lagged panel model tested whether parent-reported anxiety at age 9 years predicted teacher-reported social communication and interaction differences at age 10 years, and vice versa. Next, multigroup analyses tested for similarity in cross-lagged pathways at different levels of teacher-reported metacognition and behavioural regulation (two facets of executive function). At each time point, respectively, 22% and 21% of children had anxiety exceeding a suggested clinical threshold. Longitudinal associations between parent-reported anxiety and teacher-reported social communication and interaction differences were not significant in the full sample. However, multigroup analyses found lower levels of parent-reported anxiety at age 9 years predicted greater teacher-reported social communication and interaction differences at age 10 years among participants with clinically elevated behavioural dysregulation. Findings indicate low levels of anxiety, coupled with behavioural dysregulation, may signify potential for increasing social communication and interaction differences observed by teachers among autistic children entering adolescence. Lay abstract Anxiety is a mental health concern affecting many autistic children, and has been linked to greater differences in social communication and interaction style. Executive functioning (i.e. the ability to direct and regulate attention and behaviour) plays an important role in autistic children’s social–emotional development. We tested whether anxiety (reported by parents) predicts social communication and interaction differences (reported by teachers) over time or vice versa among autistic preadolescents. We also investigated whether the link between anxiety and social communication and interaction differed depending on children’s EF abilities (reported by teachers). We found less parent-reported anxiety predicted more teacher-reported social communication and interaction differences a year later – but only for children who had heightened behavioural dysregulation (an aspect of executive functioning that includes impulse and emotion control). Our work suggests autistic preadolescents with behavioural dysregulation and limited anxiety may be at greater risk for social difficulties, and may need more support in this area. Executive functioning may be a useful mechanism to target in treatment for this group of children.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.301
Teacher spread0.261 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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