Transitions in frequency of hookah smoking among youth and adults: findings from waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) study, 2013–15
Notice bibliographique
Résumé
BACKGROUND AND AIMS: The prevalence of hookah smoking has increased in the United States since at least 2010, especially among youth and young adults. This study assessed self-reported reasons for hookah smoking cessation and transition to or maintenance of high-frequency hookah smoking among current hookah smokers. DESIGN: Separately analyzed data from the Population Assessment of Tobacco and Health (PATH) study, a longitudinal cohort study. Frequency of and reasons for hookah smoking were ascertained at wave 1 (2013-14); frequency of hookah smoking and past-year cessation were ascertained at wave 2 (2014-15). Weighted multivariable logistic and ordinal logistic regression models were fitted to predict hookah smoking cessation and frequency of hookah smoking at wave 2, respectively, accounting for demographic and behavioral risk factors, reasons for hookah smoking and frequency of hookah smoking at wave 1. SETTING: United States. PARTICIPANTS: A total of 693 youth and 4400 adult past-year hookah smokers. MEASUREMENTS: Self-reported tobacco-use patterns and associated health behaviors were measured via audio computer-assisted self-interviews (ACASI). FINDINGS: At wave 1, 5.9% of youth and 7.5% of adults were past-year hookah smokers. Among all age groups, the leading reasons for hookah smoking were enjoyment of socializing while smoking, the availability of appealing flavors and believing that it was less harmful than cigarette smoking. The odds of cessation were lower for adults who liked hookah flavors [adjusted odds ratio (aOR) = 0.40; 95% confidence interval (CI) = 0.26-0.62] compared with adults who did not like hookah flavors. The odds of transitioning to, or maintaining, monthly or more frequent hookah smoking at wave 2, compared with cessation or less than monthly smoking, were higher for adults who liked hookah flavors [adjusted proportional odds ratio (aPOR) = 2.10; 95% CI = 1.48-2.99 and enjoyed socializing while smoking hookah (aPOR = 1.82; 95% CI =1.13-2.94) compared with adults who did not like hookah flavors or socializing. CONCLUSION: The availability of appealing flavors, affordability and socialization while smoking hookah in the United States are associated with reduced likelihood of cessation and increased likelihood of high-frequency hookah smoking.
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) | 0,000 | 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 ».