Do you see what I see? Exploring maternal and child perceptions of children’s anxiety longitudinally.
Bibliographic record
Abstract
The goals of this study were to investigate (a) the dyadic relations of mothers' and children's perceptions of children's anxiety symptoms across development, (b) whether maternal perceptions of children's anxiety serve as a mediator of the association between maternal anxiety and child anxiety, and (c) whether sensitive/structured parenting moderates these processes. Participants were 180 mother-child dyads (96 female) recruited from Quebec, Canada, and assessed in preschool, middle childhood, and early adolescence. Mothers and children completed questionnaires on children's anxiety, and mothers additionally completed a questionnaire on their own anxiety. Maternal sensitivity/structuring was assessed from an observed interaction task. Results from an actor-partner interdependence model suggest (a) maternal perceptions of children's anxiety in middle childhood predict children's self-perceptions in adolescence, but not vice versa; (b) maternal perceptions in middle childhood mediate the link between maternal anxiety in early childhood and child self-perceptions of anxiety in adolescence; and (c) the indirect effect of maternal perceptions is moderated by maternal sensitivity/structuring such that mothers who perceived more anxiety in their children and who were observed to show lower levels of sensitivity/structuring in middle childhood tended to have children who perceived more anxiety in adolescence. Findings suggest that maternal awareness of children's anxiety may be one mechanism, in the presence of relationships characterized by lower levels of sensitivity, through which anxiety risk is transferred from parent to child over time. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".