Smoke Free Workplace Policies


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Smoke Free Workplace Policies

  1. 1. Smoke-free Workplace Policies<br />Presented By:<br />Nicole Boyle & Naomi Harding<br />
  2. 2. Background<br /><ul><li>Supporters to tobacco control and clean air laws have been trying to get public smoking outlawed for decades.
  3. 3. Driving Factors:
  4. 4. There are many harmful health effects associated with second hand smoke.
  5. 5. They felt it would influence smokers to quit.
  6. 6. Provide health benefits for smokers and non-smokers alike.</li></li></ul><li>Background<br /><ul><li>Smokers die an average of 13 to 14 years earlier than non-smokers.
  7. 7. Smoking has been linked to many forms of cancer
  8. 8. Bladder
  9. 9. Esophagus
  10. 10. Larynx
  11. 11. Lungs
  12. 12. Mouth
  13. 13. Throat</li></li></ul><li>Background<br />About 440,000 Americans die from smoking related diseases each year.<br />An estimated 12 million people have died from smoking-related diseases since the first Surgeon Generals report in 1964.<br />
  14. 14. Background<br />There are 27 smoke-free states in the U.S.<br />They prohibit smoking in public places.<br />Restaurants<br />Bars<br />Workplaces (offices, schools)<br />Pennsylvania is currently not a smoke-free state.<br />
  15. 15. Background<br />Preliminary research suggests that adopting smoke-free policies is beneficial.<br />Improves the likelihood smokers will quit or reduce the amount they smoke per day.<br />Improve indoor air quality.<br />Provide overall health benefits for all members of an organization.<br />
  16. 16. Background<br />Within the last 10 years the availability of smoking cessation hotlines, support groups, and quitting aids has greatly increased.<br />Research suggests these programs will increase the likelihood a smoker will attempt to quit and be more successful in doing so.<br />
  17. 17. Predictions<br />Smokers will be less likely than Non-smokers to support a smoke-free workplace policy<br />Job Stress level will have an impact on the number of smoke breaks taken per day<br />Smokers who have used support systems were more successful than those who did not<br />Non-Smokers believe smokers take more breaks than Smokers do<br />Smokers tend to be older in age on average <br />
  18. 18. Data Collection<br />Target Audience<br />Smoking and Non-Smoking Adults<br />Sampling plan<br />Survey adults age 18 and over (legal smoking age)<br />Various occupations and work environments<br />Summary of respondents<br />Passed out 65 paper surveys, 63 people responded<br />
  19. 19. Raw Data<br />
  20. 20. Demographics <br />63 people were surveyed<br />32 men<br />31 women<br />35 smokers<br />28 non-smokers<br />Ages ranged from 18-68<br />
  21. 21. Demographics<br />Surveyed nearly equal amounts of males and femaled<br />
  22. 22. Demographics<br />
  23. 23. Demographics<br />
  24. 24. Demographics<br />The majority of non-smokers appear to be in the lower age categories &gt;36yrs or more<br />Smokers show a more equal distribution<br />
  25. 25. Hypothesis 1<br />Smokers are older, on average, than the mean age of those surveyed<br />
  26. 26. Hypothesis 1 Results<br />We can reject the null that smokers are not older<br />|t-obs |&gt;critical measure<br />P-value &lt;&lt;&lt;&lt;α level of 0.05<br />
  27. 27. Hypothesis 2<br />Smokers are less likely than non-smokers to support a smoke-free workplace policy<br />
  28. 28. Hypothesis 2 Results<br />We cannot reject the null that there is no difference in the proportion of smokers and non-smokers supporting smoke-free workplace policies<br />|t-obs |&lt; critical measure<br />P-value 0.082 &gt;α level of 0.05<br />
  29. 29. Hypothesis 3<br />Smokers using outside support to quit will be more successful than those not using support<br />
  30. 30. Hypothesis 3 Results<br />Cannot reject the null hypothesis that smokers using support are more successful<br />|t-obs |&lt; critical measure<br />P-value 0.457 &gt;α level of 0.05<br />
  31. 31. Use of Support Systems<br />Of our 35 surveyed smokers, 68% (17/35) used some sort of outside support (patch, prescriptions, support group) to help them quit<br />Out of those individuals that used support to quit, only 26% saw success lasting longer than one year!<br />
  32. 32. Hypothesis 3 Results Cont.<br />
  33. 33. Hypothesis 4<br />Age, number of packs per week and number of breaks taken per day have an influence on job stress level.<br />Null b1=b2=b3=0<br />
  34. 34. Hypothesis 4 Results<br />Model is not significant.<br />In all cases <br />|t-obs |&lt; critical measure<br />P-value &gt;α level of 0.05<br />Had to throw out entire hypothesis<br />
  35. 35. Hypothesis 5<br />Non-smokers believe smokers take more breaks<br />
  36. 36. Hypothesis 5 Results<br />We can reject the null that non-smokers think smokers take the same number of breaks<br />|t-obs |&gt;critical measure<br />P-value &lt;&lt;&lt;&lt;α level of 0.05<br />
  37. 37. Recommendations<br />Survey larger population<br />Have less categories<br />Collect more numerical data or data that can be more easily translated<br />Collect data from places that are already smoke-free to serve as a reference<br />
  38. 38. The End!<br /><ul><li>If you won’t quit for yourself or your co-workers……
  39. 39. DO IT FOR YOUR COUNTRY!!!</li>