Comparison of parental stress among mothers and fathers of children with autistic spectrum disorder in Iran.
Bibliographic record
Abstract
BACKGROUND: Most of the studies about parenting stress among parents of children with autistic spectrum disorder (ASD) have been conducted in western societies. The objective of this research, conducted in Iran, is to evaluate the parenting stress among fathers and mothers of children with ASD and find the correlation between severity of the disorder in children and the level of parental stress. MATERIALS AND METHODS: Participants included 42 couples having children aged between 2 and 12 diagnosed with ASD based on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria. The diagnosis was made by two child and adolescent psychiatrists. Demographic information of the participants was collected using a questionnaire. The severity of pervasive developmental disorder in children was determined based on Childhood Autism Rating Scale (CARS); stress of parents was measured using Parenting Stress Index (PSI). Collected information was analyzed by the SPSS (version 16) software. RESULTS: Evaluation of subscales in participants' data showed a positive correlation coefficient between the PSI-parent domain and Childhood Autism Rating Scale-Parent form CARS-P rating (r = 0.339, P =0 0.028) and also between the total stress index and CARS-P rating (r = 0.333, P = 0.031) for fathers. It is thus suggested that fathers of children with more severe developmental disorders experience more stress. The results showed significant differences between fathers and mothers in the three PSI subscales including PSI-child domain score (P < 0.005), PSI-parent domain score (P < 0.005), and the total stress index (P < 0.005). Mothers had significantly more stress than fathers. CONCLUSIONS: These findings show that parents with ASD children have many emotional needs which should be considered in planning the effective treatment strategies for their children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".