Literature DB >> 28910259

Estimation of smoking prevalence in Canada: Implications of survey characteristics in the CCHS and CTUMS/CTADS.

Thierry Gagné1,2.   

Abstract

One of the main enterprises associated with tobacco control is surveillance, that is, to measure and follow over time the extent of smoking among the Canadian population. While surveillance systems have been in place for more than 50 years, knowing the exact prevalence of smoking in Canada continues to be a complex matter and understanding its estimation requires a critical appreciation of our national surveys' idiosyncrasies. This commentary describes the two Statistics Canada surveys that are most commonly used to examine smoking prevalence in this country: the Canadian Community Health Survey (CCHS) and the Canadian Tobacco, Alcohol and Drugs Survey (CTADS). It compares estimates of smoking prevalence obtained from each source and examines potential reasons for their noticeable discrepancies. Canadian researchers interested in smoking prevalence should be aware of current and future limitations, and should discuss and analyze these accordingly.

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Year:  2017        PMID: 28910259      PMCID: PMC6972049          DOI: 10.17269/CJPH.108.5895

Source DB:  PubMed          Journal:  Can J Public Health        ISSN: 0008-4263


  8 in total

1.  Non-response bias in a sample survey on alcohol consumption.

Authors:  Viviënne M H C J Lahaut; Harrie A M Jansen; Dike van de Mheen; Henk F L Garretsen
Journal:  Alcohol Alcohol       Date:  2002 May-Jun       Impact factor: 2.826

2.  Assessment of validity of self-reported smoking status.

Authors:  Suzy L Wong; Margot Shields; Scott Leatherdale; Eric Malaison; David Hammond
Journal:  Health Rep       Date:  2012-03       Impact factor: 4.796

3.  Non-response bias in alcohol and drug population surveys.

Authors:  Jinhui Zhao; Tim Stockwell; Scott Macdonald
Journal:  Drug Alcohol Rev       Date:  2009-11

4.  Non-response bias in a lifestyle survey.

Authors:  A Hill; J Roberts; P Ewings; D Gunnell
Journal:  J Public Health Med       Date:  1997-06

5.  Trends in smoking in Canada from 1950 to 2011: progression of the tobacco epidemic according to socioeconomic status and geography.

Authors:  Daniel J Corsi; Michael H Boyle; Scott A Lear; Clara K Chow; Koon K Teo; S V Subramanian
Journal:  Cancer Causes Control       Date:  2013-10-25       Impact factor: 2.506

6.  The prevalence of tobacco use co-morbidities in Canada.

Authors:  Maritt Kirst; Graham Mecredy; Michael Chaiton
Journal:  Can J Public Health       Date:  2013-03-06

7.  Trends in educational inequalities in smoking and physical activity in Canada: 1974-2005.

Authors:  P Smith; J Frank; C Mustard
Journal:  J Epidemiol Community Health       Date:  2009-01-15       Impact factor: 3.710

8.  Surveying alcohol and other drug use through telephone sampling: a comparison of landline and mobile phone samples.

Authors:  Michael Livingston; Paul Dietze; Jason Ferris; Darren Pennay; Linda Hayes; Simon Lenton
Journal:  BMC Med Res Methodol       Date:  2013-03-16       Impact factor: 4.615

  8 in total
  2 in total

1.  Smoking in Young Adults: A Study of 4-Year Smoking Behavior Patterns and Residential Presence of Features Facilitating Smoking Using Data From the Interdisciplinary Study of Inequalities in Smoking Cohort.

Authors:  Adrian E Ghenadenik; Lise Gauvin; Katherine L Frohlich
Journal:  Nicotine Tob Res       Date:  2020-10-29       Impact factor: 4.244

2.  A cost-utility analysis of the impact of electronic nicotine delivery systems on health care costs and outcomes in Canada.

Authors:  Catherine Pound; Doug Coyle
Journal:  Health Promot Chronic Dis Prev Can       Date:  2022-01       Impact factor: 2.725

  2 in total

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