ArticleCanadian journal of public health = Revue canadienne de sante publique2024
Our Health Counts Toronto: Commercial tobacco use among Indigenous peoples in Toronto.
Article in Canadian journal of public health = Revue canadienne de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveFueled 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.
methodsRespondent-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.
resultsThe 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.
conclusionThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.