Effectiveness of parent training in improving stress-coping capability, anxiety, and depression in mothers raising children with autism spectrum disorder
Bibliographic record
Abstract
Purpose: Raising a child with autism spectrum disorder (ASD) can be a stressor, and mothers of ASD children often present with high levels of stress and depression. Interventional steps to enhance parental coping skills and resiliency are more important for parental mental health and the family-centered care of children with ASD than merely reducing parental stress. Although the importance of stress-coping skills is well established, only a few studies have investigated interventional steps to improve parental coping or resiliency. Parent training (PT) is known to improve a mother’s mental health. Here, we aimed to assess the effectiveness of PT in improving the stress-coping style of mothers raising children with ASD. Patients and methods: Thirty mothers of children with ASD aged 4–11 years participated in this study. The mothers underwent PT based on the Hizen Parenting Skills Training in Japan, which comprised seven sessions. Each session included education on behavior therapy, individual consultation, and workshops in small groups. Sixteen mothers completed psychological assessment, including the Stress Coping Inventory, the Beck Depression Inventory Second Edition, the State–Trait Anxiety Inventory, and the Child Behavior Checklist conducted before and after 2 months of PT. Results: The outcomes before and after the PT program were compared using the paired t -test and Pearson’s correlation. After the PT program, the mothers’ stress-coping strategy “positive appraisal” significantly increased ( P <0.01) and “escape/avoidance” significantly decreased ( P <0.01). The Beck Depression Inventory Second Edition ( P <0.05) and the trait anxiety scores ( P <0.01) also significantly decreased. The change in the stress-coping strategy “distancing” had a significantly negative correlation with the change in the externalizing Child Behavior Checklist T-scores of children with ASD (Pearson r =-0.518, P <0.05). Conclusion: PT may be effective for mothers of children with ASD to improve their stress-coping style and to decrease their depression and trait anxiety. Keywords: parent training, autism spectrum disorder, parents’ stress coping, anxiety, depression
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".