Examining the Importance of Family History in Pediatric Behavioural Referrals
Notice bibliographique
Résumé
In recent years, there has been a substantial increase in the diagnosis of attention deficit hyperactivity disorder (ADHD) in children. Without appropriate management of symptoms and care, ADHD has been associated with a variety of negative child and adult outcomes. Environmental and familial factors that may contribute to three different pediatric referral types (academic, behavioural, and attentional) associated with ADHD were examined in the current study. In total, data from 477 families who were interviewed as a part of the intake process to a pediatric clinic were included in this study. Data for the current study was extracted from the intake questionnaires and included information on family history of mental health issues, socioeconomic status, and family relationships. The sample included children between the ages of three and 17 and mostly comprised males (n = 340). A frequency analysis of the data demonstrated relatively high rates of mental health issues within families (61.4%); almost half of the mothers reported some post-secondary education (46.1%) and most reported having normal relationships with their children (mothers, 78%; fathers, 62.9%). Finally, three stepwise regression analyses were conducted to predict referral type. All three regressions yielded significant models. Fifteen percent of the variability of the academic referral type was predicted by being male, age at the time of referral, mother’s education level, and mother’s learning. The behavioural referral types were predicted by a family history of depression, being male, mother-child relationship, and age at the time of referral; these accounted for 23% of the variance. Attentional referral type was predicted only by mother-child relationship that captured 6% of the variance. Overall, this study describes a population of parents of children with academic, behavioural, and attention-related referrals to pediatrics. Results indicate that mothers have a profound influence on their child’s referral types, something that may transfer into later diagnosis and perhaps prognosis. Clinicians and researchers alike should focus their efforts toward developing integrative service assessment and treatment approaches that include important people in the child’s life. The implementation of Community Social Pediatrics (a streamlined, inclusive approach to care) should be considered in urban centres like this one, where referrals like this are prevalent.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».