Parents' perceptions of the impact of the home environment on youth living with an Autism Spectrum Disorder
Bibliographic record
Abstract
Background: The prevalence of autism spectrum disorders (ASD) is estimated at 1% worldwide. People living with ASDs are often very sensitive to environmental stimuli (e.g., noise). These stimuli influence the person-environment interaction in a positive or negative way, and an excess of stimuli could cause inappropriate or unexpected behavioural responses (e.g., crisis). The Model of Competence, explaining the person-environment relationship, is the conceptual framework chosen to guide this study. The objective is to explore parents’ perceptions regarding the influence of the home environment characteristics on persons living with ASD. Methods: A qualitative interpretive description design was used. Parents of youth with an ASD who lived in the family home until at least 16 years old participated in the study. Focus groups were conducted until data saturation. A thematic analysis was performed. Results: The elements impacting people living with an ASD are grouped under two themes: Non-human Environment and Human Environment. Although these elements have various effects on this population, noise, excess visual stimuli, unexpected visitors, and changes in the environment seem to be disturbing elements. Natural light, nature, a safe environment, and stability in the environment seem to have positive effects. Discussion: Even though the home environment is usually a safe and stable environment, these elements emerged as fundamental. Thus, the repercussions of this in other environments that are difficult to control should be something to reflect on. Conclusions: Identifying these elements and their effects allows for a better understanding of the interaction between the person with ASD and their environment, both human and non-human, guiding professionals in their interventions.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 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".