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Enregistrement W7106001759 · doi:10.7939/83524

Examining the association between public health unit funding per capita and conventional tobacco and e-cigarette use in Ontario, Canada

2025· dissertation· en· W7106001759 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Alberta Library · 2025
Typedissertation
Langueen
DomaineMedicine
ThématiqueSmoking Behavior and Cessation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPer capitaPublic healthUnit (ring theory)OddsTobacco controlSample (material)Health careTobacco use

Résumé

récupéré en direct d'OpenAlex

Background: Conventional tobacco and e-cigarette use are behavioural risk factors for many chronic diseases, including cardiovascular and pulmonary diseases. Public health has played a crucial role in reducing all types of tobacco use, employing comprehensive tobacco control approaches. One such approach is the Smoke-Free Ontario (SFO) Act, which was enacted in 2017 to regulate the sale, supply, display, promotion, and public use of tobacco, e-cigarettes, and cannabis among Ontarians, of which Ontario’s public health units (PHUs) play a crucial role in maintaining. Despite these population-level approaches, little is known about the association between public health funding and tobacco or e-cigarette use, despite their detrimental economic and healthcare costs to Canada’s publicly funded healthcare system. This thesis aims to (1) examine the association between SFO-related PHU funding per capita and the odds of conventional tobacco and e-cigarette use among individuals aged 18 and older living in Ontario, Canada in 2018 and 2023, and (2) determine whether the observed associations are heterogeneous across sex, household income, and household education. Methods: Repeated cross-sectional data were obtained from the 2018 and 2023 Canadian Community Health Surveys (CCHS). The case-complete weighted sample was comprised of 9,818,000 individuals across 33 PHUs in 2018 and 10,561,000 individuals across 31 PHUs in 2023. SFO-specific PHU funding per capita was obtained from the 2018 and 2023 Ontario Public Health Information Databases (OPHID) and categorized ordinally (low, low-moderate, moderate-high, and high funding). Conventional tobacco and/or e-cigarette use was defined as a binary measure based on self-reported use from the CCHS. Individual-level confounders, including sex, BMI, age, marital status, household income, household education, urbanicity, and racialized group status, were extracted from the CCHS. In contrast, area-level confounders, including material deprivation and ethnic concentration, were taken from the 2016 and 2021 Ontario Marginalization Indices (ON-Marg). Multilevel logistic regression analyses (MLMs) were used to estimate the association between SFO-specific PHU funding and tobacco and e-cigarette use. Findings: In 2018, the proportion of respondents who self-reported conventional tobacco use, e-cigarette use, and concurrent use of both was 14.9%, 1.2%, and 2.1%, respectively. By 2023, these proportions shifted to 8.5% for conventional tobacco use, 2.9% for e-cigarette use, and 2.6% for concurrent use. While no associations were found between SFO-specific PHU funding and tobacco use status in 2018, in 2023, low-moderate SFO-specific PHU funding per capita was associated with higher odds of conventional tobacco use (OR: 1.77; 95% CI: 1.19, 2.62) compared to the lowest funding per capita category, whereas high funding per capita was associated with lower odds of e-cigarette use (OR: 0.33, 95% CI: 0.11, 0.94). Analysis of cross-level interactions revealed that, in 2018, all levels of SFO-specific PHU funding per capita were associated with increased odds of conventional tobacco use among females compared to males, while high funding areas were associated with increased odds of e-cigarette use among individuals in the middle-high income quartile (OR: 4.41; 95% CI: 1.08, 18.02) compared to individuals in the highest income quartile. High SFO funding areas were also associated with lower odds of e-cigarette use among those with a high school household education (OR: 0.22, 95% CI: 0.05, 0.98). In 2023, low-moderate SFO-specific funding per capita was associated with lower odds of conventional tobacco in the lowest (OR: 0.65; 95% CI: 0.46, 0.93) and low-middle (OR: 0.52; 95% CI: 0.31, 0.89) household income quartiles, while high funding per capita was associated with higher odds of e-cigarette use among those in the lowest income quartile (OR: 3.31; 95% CI: 1.05, 10.47). Conclusion: In 2023, low-moderate SFO-related PHU funding per capita was associated with higher odds of conventional tobacco use compared to low funding, while high funding per capita was associated with lower odds of e-cigarette use. Further research should aim to identify the complex longitudinal patterns and mechanisms associated with PHU funding per capita as it pertains to conventional tobacco and e-cigarette use.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,051
Score d'incertitude au seuil0,372

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,006
Études des sciences et des technologies0,0030,001
Communication savante0,0010,000
Science ouverte0,0020,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,047
Tête enseignante GPT0,230
Écart entre enseignants0,183 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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