Youth exposure to smoking in the home and in cars: how often does it happen and what do youth think about it?
Notice bibliographique
Résumé
AIM: Little is known about what youth think about restricting smoking in their homes or in cars. The present study characterises the frequency of youth being exposed to smoking in their homes and cars, and the beliefs that youth have about restricting people from smoking around youth in those locations. METHODS: Data from the 2004 Youth Smoking Survey (YSS) were used to examine youth exposure to smoking and beliefs about smoking in the home and car among 29,243 Canadian youth in grades 5-9. Logistic regression models were conducted to examine if being exposed to smoking at home or in the car were associated with the beliefs youth have about either smoking around children at home or smoking around children in cars. RESULTS: In 2004, 23.1% of youth in grades 5-9 were exposed to smoking in their home on a daily or almost daily basis, 26.3% were exposed to smoking while travelling in a car at least once in the previous week. The majority of youth reported that they do not think smoking should be allowed around children at home (90.6%) or in cars (90.2%). Males were more likely than females to report that smoking should not be allowed around children at home (OR 1.38) or in cars (OR 1.39). Youth living in a house where someone smokes inside daily were more likely to report that smoking should not be allowed around children at home (OR 1.20) or in cars (OR 1.21). Youth living in a house where the rules do not prevent people from smoking inside were also more likely to report that smoking should not be allowed around children at home (OR 2.07) or in cars (OR 1.76). Youth who have ridden in a car with someone who was smoking cigarettes in the past 7 days were more likely to report that smoking should not be allowed around children in cars (OR 1.73). CONCLUSIONS: It is common for Canadian youth to be exposed to SHS in their homes or while in cars on a frequent basis even though the vast majority of youth do not think smoking should be allowed around children in those locations. This new evidence suggests that programs and policies designed to prevent individuals from smoking around youth in these locations should be a public health priority.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 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 ».