The role of parental anxiety sensitivity in parent reports of child anxiety in treatment seeking families
Bibliographic record
Abstract
Recent research has examined the contribution of parental anxiety sensitivity to child anxiety, suggesting only a modest relationship between these two variables. No study to date, however, has examined the role of parental anxiety sensitivity in parent reports of the child's anxiety. It was hypothesized that anxiety sensitivity, a cognitive risk factor for the development of anxiety, would be significantly correlated with parents' reports of their child's anxiety, specifically with respect to panic and separation anxiety. The present study employed a sample of 56 treatment-seeking children and their parents. Parent and child reports of the child's anxiety were obtained, and self-reports of anxiety sensitivity were obtained from parent and child. Parent reports of their child's panic and separation anxiety symptoms were significantly related to not only parental anxiety sensitivity (r = .39 and r = .29, respectively) but also the child's self-reported level of anxiety sensitivity (r = .35 and r = .37, respectively). These findings suggest that anxiety sensitivity, a significant predictor of panic symptomatology amongst both adults and children, might be related to parents' perceptions of their child's symptoms of panic and separation anxiety. These findings further suggest taking into consideration parental levels of anxiety sensitivity when interpreting parent reports of child anxiety in clinical settings.
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 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 | 0.007 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".