Mysteriet med de överrepresenterade decemberbarnen: En kvantitativ studie om sent födda barns överrepresentation inom neuropsykiatriska funktionsnedsättningar
Notice bibliographique
Résumé
Children that are born later in the year are, based on previous studies, more likely to be diagnosed with a neuropsychiatric disorder (hereby NPD), which is a bit surprising considering that NPDs are considered to be primarily genetic disorders. The aim of our study is to test the hypothesis that there is a correlation between being born later in the year and an increased prevalence of referrals from school because of suspicion of NPD. We did this by looking at the connections between what time of the year children are born and the probability of being referred to psychiatric assessment due to suspicion of a neuropsychiatric disorder. The method we chose for our study was a quantitative survey sent out to school psychologists in the different municipalities in the region of Skåne, Sweden. The psychologists were asked to contribute with the birth month of the ten most recent children that had been referred to psychiatric assessment due to suspicion of NPD, as well as the specific diagnosis suspected. Our findings were not quite expected, considering the overrepresentation of children born late in the year among children diagnosed with NPD. On the one hand, we could see what we were looking for in our analysis because the number of children being referred actually increased somewhat throughout the year in a correlation analysis. But, on the other hand, the correlation was not as clear nor as strong as expected, and more interestingly, the last quarter of the year was the quarter with the least number of referred children, while we expected the opposite. Instead, it was the third quarter that contributed to the increase of referrals throughout the year in our analysis. In our discussion, we consider different factors that can affect this result. Factors such as regional differences in diagnostic guidelines and praxis or the fact that we only studied children referred to psychiatry from their school when there are numerous other ways for an investigation to be initiated. Or maybe the overrepresentation occurs in the diagnostic stage for some reason, rather than the referral stage.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 tête enseignante, 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 ».