1 / 30

Prevalence and Predictors of Smoking in "Smoke-Free" Bars

This presentation discusses the prevalence and predictors of smoking in bars, particularly after the implementation of smoke-free policies. The study examines the attitudes and beliefs of smokers, as well as the comprehensiveness of the ban and country differences in predictors. The findings highlight the importance of educational campaigns in shaping behaviors.

arambula
Télécharger la présentation

Prevalence and Predictors of Smoking in "Smoke-Free" Bars

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Prevalence and predictors of smoking in “smoke-free” bars. Findings from the ITC Europe Surveys. Gera E. Nagelhout, Ute Mons, Shane Allwright, Romain Guignard, François Beck, Geoffrey T. Fong, Hein de Vries, & Marc C. Willemsen Presentation at ECToH-symposium ‘Minimising exposure to second-hand smoke’, March 2011

  2. Exposure to second-hand smoke • Exposure to second-hand smoke causes death, disease, and disability • There is no safe level of exposure to second-hand smoke • Therefore, non-smokers should be protected from exposure to tobacco smoke 2

  3. Framework Convention on Tobacco Control Article 8: Protection from exposure to tobacco smoke Each Party shall adopt and implement in areas of existing national jurisdictions as determined by national law and actively promote at other jurisdictional levels the adoption and implementation of effective legislative, executive, administrative and/or other measures, providing for protection from exposure to tobacco smoke in indoor workplaces, public transport, indoor public places and, as appropriate, other public places. 3

  4. WHO policy recommendations (2007) • 100% smoke-free • Universal protection • Proper implementation and enforcement • Public education about SHS 4

  5. Smoke-free bars “Smoke-free” bars are often not 100% smoke-free: • Designated smoking rooms allowed • Smoking bars allowed • Non-compliance Bars are the “last bastion” of socially acceptable smoking 5

  6. Smoking in bars pre- and post-ban 6

  7. Ireland: March 1, 2004 Comprehensive smoke-free workplace legislation, including bars No designated smoking rooms. No smoking bars Strong enforcement Implementation preceded by campaigns about second-hand smoke 7

  8. France: January 1, 2008 Smoke-free workplace legislation from 2007 extended to bars in 2008 Designated smoking rooms allowed under very strict conditions. No smoking bars allowed. Strong enforcement Implementation preceded by campaigns about second-hand smoke 8

  9. The Netherlands: July 1, 2008 Smoke-free workplace legislation from 2004 extended to bars in 2008 Designated smoking rooms allowed. Smoking bars allowed from July 2009 until March 2010 and from November 2010 Problems with enforcement Implementation preceded by campaign about a man dressed as a cigarette being thrown out of bars 9

  10. Germany: August 2007 – July 2008 Smoke-free workplace legislation from 2004 extended to bars in German states between August 2007 and July 2008 Designated smoking rooms allowed. Smoking bars allowed. Problems with enforcement Implementation not preceded by campaign 10

  11. The current study • Comprehensiveness of the ban will mostly affect how much people smoke in bars post-ban • Attitudes and beliefs of smokers may also have an influence  important for the design of educational campaigns 11

  12. Research questions 1. Prevalence of smoking in bars pre- and post-ban 2. Predictors of smoking in bars post-ban 3. Country differences in predictors 4. Educational level differences in predictors 12

  13. International Tobacco ControlPolicy Evaluation (ITC) Project 13

  14. Methods of the ITC Project • Evaluation of FCTC policies at the individual level • Longitudinal cohort survey: same individuals surveyed over time • Cross country comparisons: “natural experiments” • Use of mediation model: how did policies have their impact? 14

  15. Mediational model 15

  16. ITC Europe 3,147 16

  17. Measures Policy-specific variables: • Support for bar smoking ban: Do you think smoking should be allowed in all indoor areas, allowed in some indoor areas, or not allowed indoors at all at bars and pubs? • SHS harm awareness: How often did you think about the harm your smoking might be doing to other people? 17

  18. Measures Psychosocial mediators: • Attitudes towards smoking: What is your overall opinion of smoking? • Perceived societal approval of smoking: Society disapproves of smoking Policy-relevant outcome: - Smoking inside bars post-ban: Did you smoke inside the pub or bar during your last visit? 18

  19. Measures Moderators: • Country • Educational level Control variables: • Interviewing mode • Gender • Age • Heaviness of smoking • Smoking inside bars pre-ban • Bar visiting in last six months 19

  20. Prevalence of smoking in bars 20

  21. Prevalence of smoking in bars 21

  22. Prevalence of smoking in bars 22

  23. Prevalence of smoking in bars 23

  24. Predictors of smoking in bars post-ban * p<0.05** p<0.01*** p<0.001 Odds Ratio’s are adjusted for country, interviewing mode, gender, age, educational level,heaviness of smoking, smoking in bars pre-ban, and bar visiting in last 6 months. 24

  25. Predictors of smoking in bars post-ban Stronger predictor in Germany Stronger predictors in France Odds Ratio’s are adjusted for country, interviewing mode, gender, age, educational level,heaviness of smoking, smoking in bars pre-ban, and bar visiting in last 6 months. 25

  26. Predictors of smoking in bars post-ban Stronger predictor for high educated Stronger predictor for low educated Stronger predictor for high educated Odds Ratio’s are adjusted for country, interviewing mode, gender, age, educational level,heaviness of smoking, smoking in bars pre-ban, and bar visiting in last 6 months. 26

  27. Conclusion Findings: • Prevalence smoking in bars post-ban much higher in countries with weaker smoke-free legislation Recommendation: Implement comprehensive smoke-free legislation without exceptions and enforce the legislation strongly 27

  28. Conclusion Findings: • Smokers who were supportive of the ban and who were aware of the harm of SHS were less likely to smoke in bars post-ban • SHS harm awareness is a stronger predictor among low educated smokers Recommendation: Run educational campaigns in which the public health rationale for the legislation is clearly explained 28

  29. Thank you for your attention! More information: Gera.Nagelhout@MaastrichtUniversity.nl www.itcproject.org Nagelhout, Mons, Allwright, Guignard, Beck, Fong, De Vries, & Willemsen (2011). Prevalence and predictors of smoking in “smoke-free” bars. Findings from the International Tobacco Control (ITC) Europe Surveys. Accepted for publication in Social Science & Medicine. 29

More Related