Facteurs de risque dans le trouble déficitaire de l'attention et de l'hyperactivité: étude familiale.
Bibliographic record
Abstract
OBJECTIVE: This study aims at examining risk factors associated with attention-deficit/hyperactivity disorder (ADHD) such as comorbidities and adversity factors in members of a family with ADHD. METHODS: 137 parents of 104 children with ADHD and 40 parents of 34 typically developing (TD) children filled a questionnaire. Chi-square tests and Student tests measured the association between each group and items of the questionnaire as well as the differences between the groups. RESULTS: Statistical analysis revealed overall decreased academic performances in children with ADHD compared to the TD children. Furthermore, ADHD was substantially more associated with learning, conduct, anxiety and oppositional disorders relative to TD children. Learning difficulties were more frequently reported by fathers of children with ADHD. Mothers of children with ADHD suffered more from depression and anxious disorder and were taking more medication than their TD correspondents. CONCLUSION: The results revealed a link between parents and children, namely depression and anxious disorder in mothers and learning difficulties in fathers of children with ADHD, suggesting a familial component to the disorder. The low report of ADHD diagnosis in fathers of children with ADHD is discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".