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Record W4381716436 · doi:10.1002/aur.2968

Anxiety in autistic preschool children: Phenomenology and a network analysis of correlates

2023· article· en· W4381716436 on OpenAlexaff
Roma A. Vasa, Connor M. Kerns, Vini Singh, Rachel G. McDonald, Yeon Sik Jang, Amy Keefer

Bibliographic record

VenueAutism Research · 2023
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAnxietyPsychologyAutismSpecific phobiaClinical psychologyDevelopmental psychologyAnxiety disorderPsychiatry

Abstract

fetched live from OpenAlex

Anxiety disorders in autistic children are associated with significant functional impairment. Few studies have examined impairing anxiety presentations in autistic preschool children (i.e., 3-5 years old). This cross-sectional study examined the phenomenology of impairing anxiety and the strongest correlates of anxiety in 75 autistic preschool children. Parents completed a diagnostic interview that assesses two anxiety types, DSM-5 anxiety disorders and impairing distinct anxiety presentations, and measures of anxiety correlates. An exploratory network analysis examined connections between anxiety and its correlates. Forty percent of children had impairing anxiety. Specific phobia followed by 'other social fear,' a type of distinct anxiety, were the most common anxiety types. Child intolerance of uncertainty (IU) was the only correlate that was associated with anxiety in a network analysis framework. Child IU linked anxiety to two other correlates, sensory over-responsivity and somatic symptoms. Findings emphasize the need for early intervention for anxiety and further research on its correlates.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.082
GPT teacher head0.454
Teacher spread0.372 · 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

Citations14
Published2023
Admission routes1
Has abstractyes

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