Our Health Counts Toronto: Commercial tobacco use among Indigenous peoples in Toronto
Notice bibliographique
Résumé
OBJECTIVE: Fueled by the commercial tobacco industry, commercial tobacco use continues to be the leading preventable cause of premature death in Canada, with opportunities to improve health outcomes. The objective of this research was to work with Indigenous partners to generate Indigenous population prevalence estimates of commercial tobacco use in Toronto, and examine the association between smoking and sociodemographic, cultural, resiliency, and social variables. METHODS: Respondent-driven sampling (RDS) was used to generate prevalence estimates of commercial tobacco use and potentially associated sociodemographic, cultural, resiliency, and social connection variables for Indigenous adults living in Toronto. Statistical analysis examined associations between smoking and variables theorized to be predictors of tobacco use. RESULTS: The findings indicated that 36.3% (95%CI 28.2-44.5) of the Indigenous population in Toronto do not smoke, and 63.6% (95%CI 55.5-71.7) reported smoking. Univariate analysis of demographic, social, and cultural variables found age and employment to be statistically significantly different between adults who smoked and adults who did not smoke. Indigenous adults who were above the before-tax low-income cut-off (LICO) were more likely to smoke compared to those who were below the before-tax LICO. Indigenous adults who completed high school were more likely to smoke compared to those who did not complete high school, similarly to those who were unemployed compared to those who were employed. However, those who were not in the labour force (student or retired) were less likely to smoke compared to those who were employed. These effects remained after adjustment for age, gender, and LICO. Indigenous adults with stable housing were 20% less likely to smoke compared to those experiencing homelessness. Adults who had at least one close friend or family member to confide in were more likely to smoke compared to those who did not have any close friends or family members. Indigenous adults were more likely to smoke if they participated in Indigenous ceremony compared to those who did not participate. CONCLUSION: The Indigenous population in Toronto continues to experience smoking prevalence nearly four times greater than that in the general population. This highlights the need for accurate population data to inform programs and policies and address the social determinants of health.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 ».