Evidence map›Paper›PMID 28625973›Full record

ArticleCMAJ open2017

Prevalence and correlates of electronic cigarette use among Canadian students: cross-sectional findings from the 2014/15 Canadian Student Tobacco, Alcohol and Drugs Survey.

Annie Montreuil, Marjorie MacDonald, Mark Asbridge, T Cameron Wild, David Hammond, Steve Manske, Erin Rutherford

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. The geographic distribution and community correlates of electronic cigarette use in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  3. Characteristics of Canadians who use vaping products, by smoking status: findings from the Canadian Community Health Survey, 2020.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Exploring the Bi-Directional Association between Tobacco and E-Cigarette Use among Youth in Canada.International journal of environmental research and public health · 2019
    Article
  11. Article
  12. Analysis of the geographical accessibility of vape shops in the vicinity of Quebec's secondary and college educational institutions.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Young People's Use of E-Cigarettes across the United Kingdom: Findings from Five Surveys 2015-2017.International journal of environmental research and public health · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Annie MontreuilAffiliations: Institut national de santé publique du Québec (Montreuil); Département de psychologie (Montreuil), Université du Québec à Montréal, Montréal, Que.; School of Nursing (MacDonald), University of Victoria, Victoria, BC; Department of Community Health and Epidemiology (Asbridge), Dalhousie University, Halifax, NS; School of Public Health (Wild), University of Alberta, Edmonton, Alta.; School of Public Health and Health Systems (Hammond) and Propel Centre for Population Health Impact (Manske), University of Waterloo, Waterloo, Ont.; Health Canada (Rutherford), Ottawa, Ont.
Marjorie MacDonaldAffiliations: Institut national de santé publique du Québec (Montreuil); Département de psychologie (Montreuil), Université du Québec à Montréal, Montréal, Que.; School of Nursing (MacDonald), University of Victoria, Victoria, BC; Department of Community Health and Epidemiology (Asbridge), Dalhousie University, Halifax, NS; School of Public Health (Wild), University of Alberta, Edmonton, Alta.; School of Public Health and Health Systems (Hammond) and Propel Centre for Population Health Impact (Manske), University of Waterloo, Waterloo, Ont.; Health Canada (Rutherford), Ottawa, Ont.
Mark AsbridgeAffiliations: Institut national de santé publique du Québec (Montreuil); Département de psychologie (Montreuil), Université du Québec à Montréal, Montréal, Que.; School of Nursing (MacDonald), University of Victoria, Victoria, BC; Department of Community Health and Epidemiology (Asbridge), Dalhousie University, Halifax, NS; School of Public Health (Wild), University of Alberta, Edmonton, Alta.; School of Public Health and Health Systems (Hammond) and Propel Centre for Population Health Impact (Manske), University of Waterloo, Waterloo, Ont.; Health Canada (Rutherford), Ottawa, Ont.
T Cameron WildAffiliations: Institut national de santé publique du Québec (Montreuil); Département de psychologie (Montreuil), Université du Québec à Montréal, Montréal, Que.; School of Nursing (MacDonald), University of Victoria, Victoria, BC; Department of Community Health and Epidemiology (Asbridge), Dalhousie University, Halifax, NS; School of Public Health (Wild), University of Alberta, Edmonton, Alta.; School of Public Health and Health Systems (Hammond) and Propel Centre for Population Health Impact (Manske), University of Waterloo, Waterloo, Ont.; Health Canada (Rutherford), Ottawa, Ont.
David HammondAffiliations: Institut national de santé publique du Québec (Montreuil); Département de psychologie (Montreuil), Université du Québec à Montréal, Montréal, Que.; School of Nursing (MacDonald), University of Victoria, Victoria, BC; Department of Community Health and Epidemiology (Asbridge), Dalhousie University, Halifax, NS; School of Public Health (Wild), University of Alberta, Edmonton, Alta.; School of Public Health and Health Systems (Hammond) and Propel Centre for Population Health Impact (Manske), University of Waterloo, Waterloo, Ont.; Health Canada (Rutherford), Ottawa, Ont.
Steve ManskeAffiliations: Institut national de santé publique du Québec (Montreuil); Département de psychologie (Montreuil), Université du Québec à Montréal, Montréal, Que.; School of Nursing (MacDonald), University of Victoria, Victoria, BC; Department of Community Health and Epidemiology (Asbridge), Dalhousie University, Halifax, NS; School of Public Health (Wild), University of Alberta, Edmonton, Alta.; School of Public Health and Health Systems (Hammond) and Propel Centre for Population Health Impact (Manske), University of Waterloo, Waterloo, Ont.; Health Canada (Rutherford), Ottawa, Ont.
Erin RutherfordAffiliations: Institut national de santé publique du Québec (Montreuil); Département de psychologie (Montreuil), Université du Québec à Montréal, Montréal, Que.; School of Nursing (MacDonald), University of Victoria, Victoria, BC; Department of Community Health and Epidemiology (Asbridge), Dalhousie University, Halifax, NS; School of Public Health (Wild), University of Alberta, Edmonton, Alta.; School of Public Health and Health Systems (Hammond) and Propel Centre for Population Health Impact (Manske), University of Waterloo, Waterloo, Ont.; Health Canada (Rutherford), Ottawa, Ont.
University of Victoria · CAInstitut National de Santé Publique · CI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decade, youth tobacco use has declined, and electronic cigarettes (e-cigarettes) have entered the market. The aims of this study were to describe the prevalence of e-cigarette use among youth in Canada, by province, across sociodemographic variables and smoking-related correlates; and to examine associations among e-cigarette use, sociodemographic variables and smoking-related correlates, with adjustment for other factors.

methodsThe 2014/15 Canadian Student Tobacco, Alcohol and Drugs Survey, a biennial, school-based survey, was administered to students in grades 6-12 in all Canadian provinces. Logistic regression models were fitted to estimate odds of ever and past 30-day e-cigarette use by sociodemographic variables and smoking-related correlates.

resultsA total of 336 schools from 128 school boards (47% of eligible schools approached) and 42 094 students (66% of eligible students approached) participated in the survey. In Canada, 17.7% (95% confidence interval [CI] 16.4%-18.9%) of students in grades 6-12 reported ever using e-cigarettes, and 5.7% (95% CI 5.2%-6.3%) reported past 30-day use. Substantial variation was observed across provinces. Female students had decreased odds of past 30-day use relative to male students (odds ratio [OR] 0.71, 95% CI 0.59-0.86), whereas current smokers (OR 10.0, 95% CI 6.66-15.02) and experimental smokers (OR 3.61, 95% CI 2.40-5.42) had increased odds relative to never smokers. Students who perceived that access was easy also had increased odds of using e-cigarettes relative to students who perceived that access was difficult (OR 3.86, 95% CI 2.96-5.03). Students who believed that regular use entailed slight risk (OR 0.68, 95% CI 0.52-0.88) and those who did not know risk levels (OR 0.31, 95% CI 0.21-0.46) had decreased odds compared with those perceiving no risk.

interpretationOur data confirm that many youth used e-cigarettes in the 30 days preceding the survey, although rates were substantially higher among current and experimental smokers than among students who had never tried smoking.

Identifiers

PMID28625973
PMCPMC5498187
OpenAlexW2626754057

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.