The relationship between gender, peer victimization, mental health, and frequent headaches in adolescents: A Canadian population-based observational study (P14-12.002)
Notice bibliographique
Résumé
Objective: To assess the association between gender, peer victimization, mental health and frequent headaches in adolescents. Background: Little is known about the relationship between gender, peer victimization and headaches in adolescents. Design/Methods: This was an observational study of adolescents aged 12–17 using data from a population-based health survey (2019 Canadian Health Survey on Children and Youth). Headache frequency was dichotomized as ‘about once a week or less’ or ‘>once a week’ (defined as frequent recurrent headaches). Logistic regression was used to quantify the association between gender, peer victimization (overt or relational and occurring ≥monthly), suicidality, and the odds of frequent headaches, unadjusted and adjusted for age and sex. The final model included all exposures and controlled for age, sex, household income, and presence of mood and anxiety disorder. Bootstrap replicate weighting was used to account for survey design effects. Results: There were 2,268,840 participants (weighted sample size) (mean age 14.4, 48.8% females, 0.5% transgender) and 11.2% reported frequent headaches. Age and female sex were associated with frequent headaches (OR=1.26, 95%CI=1.20–1.31, and OR=2.89, 95%CI=2.47–3.37, respectively), as was transgender status (OR=3.30, 95%CI=1.64–6.63, adjusted for age/sex). Youth with frequent headaches had higher odds of experiencing both overt and relational peer victimization compared to peers (OR=2.69, 95%CI=2.31–3.14, and OR=3.03, 95%CI=2.58–3.54, adjusted for age/sex). In the final full model, transgender status was no longer significant, though frequent headaches were significantly associated with overt and relational peer victimization (OR=1.82, 95%CI=1.41–2.34, and OR=1.54, 95%CI=1.17–2.03, respectively), suicidality (OR=1.83, 95%CI=1.44–2.32), and having a mood or anxiety disorder (OR=1.50, 95%CI=1.01–2.21, and OR=1.74, 95%CI=1.24–2.45, respectively). Conclusions: Overt and relational peer victimization, transgender status, suicidality, and having a mood or anxiety disorder were significantly associated with frequent headaches in a large sample of adolescents. After controlling for peer victimization, suicidality, and having a mood or anxiety disorder, the association between transgender status and frequent headaches disappeared. Disclosure: Ms. Nilles has received research support from French Gilles de la Tourette Association. Ms. Nilles has received research support from Owerko Centre of Alberta Children’s Hospital Research Institute. Ms. Nilles has received research support from Assistance Publique - Hôpitaux de Paris. Jeanne Williams has nothing to disclose. Dr. Patten has received personal compensation in the range of $10,000-$49,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Canadian Psychiatric Association. Dr. Patten has received publishing royalties from a publication relating to health care. The institution of Dr. Pringsheim has received research support from Maternal Newborn Child and Youth Strategic Clinical Network. The institution of Dr. Pringsheim has received research support from Owerko Center of Alberta Children’s Hospital Research Institute. The institution of Dr. Pringsheim has received research support from Canadian Institutes of Health Research. The institution of Dr. Pringsheim has received research support from Public Health Agency of Canada. The institution of Dr. Orr has received research support from Alberta Children’s Hospital Research Institute. The institution of Dr. Orr has received research support from Canadian Institutes of Health Research. Dr. Orr has received publishing royalties from a publication relating to health care. Dr. Orr has a non-compensated relationship as a Associate Editor with Headache: The Journal of Head and Face Pain that is relevant to AAN interests or activities. Dr. Orr has a non-compensated relationship as a Editorial Board with Neurology that is relevant to AAN interests or activities.
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 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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 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 ».