Impact of personal and social resources on parenting stress in mothers of children with autism spectrum disorder
Bibliographic record
Abstract
This study examined the longitudinal associations between child behavior problems, coping strategies, social resources, and parenting stress in mothers of young children with autism spectrum disorder. Participants were 283 mothers who completed self- and child-report measures at the time of diagnosis and 2 years later. Hierarchical multiple regression was conducted to predict overall parenting stress. At diagnosis, the final model indicated that high levels of social support and mothers' use of active engaged coping strategies were associated with lower levels of parenting stress. Conversely, high levels of child externalizing behavior problems, family dysfunction, and mothers' use of disengaged coping strategies were associated with higher parenting stress. Two years later, high levels of parenting stress at diagnosis predicted increased parenting stress. In addition, high or increasing levels of social support predicted a decrease in parenting stress, while high or increasing levels of family dysfunction predicted increased stress. Finally, increased use of disengaged coping strategies and decreased use of active coping strategies over time predicted higher levels of parenting stress. Results are discussed in terms of their implications for the provision of targeted supports that are designed to enhance the personal and social resources available to mothers of children with autism spectrum disorder.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".