Investigating the association between generalized anxiety symptoms and social and communication impairments of autistic youth.
Bibliographic record
Abstract
Background: Past research has found that overall anxiety and social anxiety symptoms are associated with the occurrence of social and communication challenges within autistic populations. Objective: The aim of this study was to determine whether generalized anxiety disorder symptoms were associated with social and communication symptoms in autistic youth. Method: The cross-sectional sample was comprised of 253 autistic youth aged 8-18 (196 Males, 57 Females). Participants were divided in a child (Grade 3-8) group and an adolescent (Grade 9-12) group. A hierarchical linear regression analysis was conducted to evaluate whether the generalized anxiety score predicted the social communication composite score, derived from the ADOS-2, after controlling for sex, grade level and expressive language ability. Results: Correlation analyses showed an association between social communication ability and general anxiety disorder symptoms in the child group such that those with greater anxiety had fewer social communication symptoms. However, after controlling for sex, grade, and language ability, general anxiety disorder symptoms did not predict social communication difficulties in either children or adolescents. Conclusions: Alongside past literature, these findings suggest that the different types of anxiety disorders may have differential impacts on autistic youth's social and communication symptoms. Further research should investigate whether other anxiety subtypes affect autistic youth's social and communication symptoms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".