Psycho-emotional evaluation of parents who have a child with autistic disorders – pilot study
Bibliographic record
Abstract
Background and objectives. There are many studies which reveal the burden faced by parents of children with autism. In this case, a critical fact is for parents not only to understand the disease the child has, but also to persist in the long and sometimes complicated recovery, along with acceptance. The aim of this study is to evaluate the psycho-emotional state and level of caregiver burden experienced by parents of children with autism. Materials and methods. We evaluated, in a pilot study, 40 parents of children with autism spectrum disorder who were at the pediatrics neurology and psychiatry clinic in Targu Mures during the period May–June 2025, using a questionnaire with general sociodemographic questions. The questionnaire included the following variables: age, sex, marital status, education level, area of origin, number of family members, number of children, whether they know their family doctor, whether they were informed about the diagnosis, and the medical caregiver burden test, “The Caregiver Burden Inventory,” developed by Young in 1989. Results. We observed that the majority of parents (48%; n = 19) who presented during the May–June 2025 period are aged between 30–39 years. The educational level of these parents is mostly at the high school and vocational level (77%; n = 17). Using the caregiver burden test, only a quarter of them reported feelings of overwhelm or stress related to caregiving. Parents with a high school or vocational education level are 71% less likely to experience stress compared to parents with higher education (p = 0.0122; RR = 0.29; 95% CI: 0.123–0.682). Conclusions. It is important to conduct studies which assess the psycho-emotional state of parents of children with autism, in order to help parents to take care of their child and also to take care of themselves.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".