Exploring experiences of psychological distress among Iranian parents in dealing with the sexual behaviors of their children with autism spectrum disorder: a qualitative study
Bibliographic record
Abstract
Sexual behavior is influenced by social and communication deficits in autism spectrum disorder (ASD) and is a serious challenge for parents who lack effective strategies for providing sexual education to their children with ASD. The purpose of this study was to explore Iranian parents' experiences of psychological distress in dealing with the sexual behaviors of their children with ASD. This qualitative study was designed following the conventional content analysis approach. Semi-structured and in-depth interviews were conducted with 27 parents of children with ASD aged 8-34 years. All interviews were audio-recorded and transcribed verbatim. The data were collected through purposeful sampling and continued until data saturation. The worries theme was extracted from data interpretation using qualitative content analysis, and this theme entailed four subthemes: 1) sexual vulnerability, 2) unintended social consequences, 3) psychological suffering, and 4) confusion about the future of a child's sex life. This study emphasized the importance of paying attention to parents' concerns about the sexual behaviors of children with ASD. Parents' psychological distress is a major obstacle to proper coping with sexual behaviors, and using coping strategies may help reduce psychological distress in parents of children with ASD. Therefore, it is necessary to design, implement, and evaluate culture-appropriate educational programs to address parents' concerns regarding the sexual health of a child with autism.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".