Predicting the Risk of Lung Cancer in Never-smokers

Despite being considered a disease of smokers, approximately 10-15% of lung cancer cases occur in never-smokers. Lung cancer risk prediction models have demonstrated excellent ability to discriminate cases from non-cases, and have been shown to be more efficient at selecting individuals for future screening than current criteria. Existing models have primarily been developed in populations of smokers, thus there was a need to develop an accurate model in never-smokers. This study focused on developing and validating a model using never-smokers from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Cox regression analysis, with six-year follow-up, was used for model building. Predictors included: age, body mass index, education level, personal history of cancer, family history of lung cancer, previous chest X-ray, and secondhand smoke exposure. This model achieved fair discrimination (optimism corrected c-statistic = 0.6645) and good calibration. This represents an improvement on existing neversmoker models, but is not suitable for individual-level risk prediction.

An impact evaluation of the Ontario ban on smoking in schools and on school property : does the ban on smoking influence high school students' intentions to smoke cigarettes?

The Ontario Tobacco Control Act of 1994 imposed a total ban on smoking in schools, and on school property for every school in the province. The imposition of this policy created problems for school administrators. For instance, students who were smoking on walkways and properties adjacent to school boundaries, clashed with neighbouring property owners who were angry about the resulting damage and disruption. The enforcement of this policy consumes valuable resources at each school; therefore, knowledge about the impact of the policy is important. If effective, this policy has the potential to improve the health of students over their lifetime, by preventing or delaying smoking behaviour. Alternatively, an ineffective policy will continue to create administrative problems for the school and serve no legitimate purpose. Therefore, knowledge about the impact of the smoking ban policy on students' smoking intentions assists policy makers and school administrators in their understanding of the policy's impact within the schools. This research provided an impact evaluation of the ban on smoking in schools and on school property in Ontario. A total of 2069 students, from five high schools, in the Niagara Region, provided complete responses to a survey, designed to test whether smoking intentions were affected by the imposition of the policy. The study used Ajzen's theory of planned behaviour (Ajzen, 1991), specifically, the perceived behavioural control measure, to gain some understanding of students' perceptions of control over smoking imposed by the ban. The findings indicate the policy has the potential to influence students' overall smoking intentions. The ban on smoking policy was found to be a significant predictor of the smoking intentions of high school students. As well, attitude, social norms, and perceptions of control were significant predictors of smoking intentions. Exploratory findings also indicated differences between the control beliefs of students from different high schools, indicating potential differences in the enforcement of the smoking ban between schools. The findings also support the utility of the theory of planned behaviour as a methodology for evaluating the influence of punitive policies. This research study should be continued by utilizing the full theory of planned behaviour, including two phases of data collection and the measurement of actual smoking behaviour.

The impact of tobacco control policies on university students' smoking in Ontario

Objective. Despite steady declines in the prevalence of tobacco use among Canadians, young adult tobacco use has remained stubbornly high over the past two decades (CTUMS, 2005a). Currently in Ontario, young adults have the highest proportion of smokers of all age cohorts at 26%. A growing body of evidence shows that smoking restrictions and other tobacco control policies can reduce tobacco use and consumption among adults and deter initiation among youth; whether young adult university students' smoking participation is influenced by community smoking restrictions, campus tobacco control policies or both remains an empirical question. The purpose of this study is to examine the relationship among current smoking status of students on university campuses across Ontario and various tobacco control policies, 3including clean air bylaws of students' home towns, clean air by-laws of the community where the university is situated, and campus policies. Methods. Two data sets were used. The 200512006 Tobacco Use in a Representative Sample of Post-Secondary Students data set provides information about the tobacco use of 10,600 students from 23 universities and colleges across Ontario. Data screening for this study reduced the sample to 5,114 17-to-24 year old undergraduate students from nine universities. The second data set is researcher-generated and includes information about strength and duration of, and students' exposure to home town, local and campus tobacco control policies. Municipal by-laws (of students' home towns and university towns) were categorized as weak, moderate or strong based on criteria set out in the Ontario Municipal By-law Report; campus policies were categorized in a roughly parallel fashion. Durations of municipal and campus policies were calculated; and length of students' exposure to the policies was estimated (all in months). Multinomial logistic regression analyses were used to examine the relationship between students' current smoking status (daily, less-than-daily, never-smokers) and the following policy measures: strength of, duration of, and students' exposure to campus policy; strength of, duration of, and students' exposure to the by-law in the university town; and, strength of, duration of, and students' exposure to the by-law in the home town they grew up in. Sociodemographic variables were controlled for. Results. Among the Ontario university students surveyed, 7.0% currently use tobacco daily and 15.4% use tobacco less-than-daily. The proportions of students experiencing strong tobacco control policies in their home town, the community in which their university is located and at their current university were 33.9%,64.1 %, and 31.3% respectively. However, 13.7% of students attended a university that had a weak campus policy. Multinomial logistic regressions suggested current smoking status was associated with university town by-law strength, home town by-law strength and the strength of the campus tobacco control policy. In the fmal model, after controlling for sociodemographic factors, a strong by-law in the university town and a strong by-law in students' home town were associated with reduced odds of being both a less-than-daily (OR = 0.64, 95%CI: 0.48-0.86; OR = 0.80, 95%CI: 0.66-0.95) and daily smoker (OR = 0.59, 95%CI: 0.39-0.89; OR = 0.76, 95%CI: 0.58-0.99), while a weak campus tobacco control policy was associated with higher odds of being a daily smoker (OR = 2.08, 95%CI: 1.31-3.30) (but unrelated to less-than-daily smoking). Longer exposure to the municipal by-law (OR = 0.93; 95%CI: 0.90-0.96) was also related to smoking status. Conclusions. Students' smoking prevalence was associated with the strength of the restrictions in university, and with campus-specific tobacco control policies. Lessthan- daily smoking was not as strongly associated with policy measures as daily smoking was. University campuses may wish to adopt more progressive campus policies and support clean air restrictions in the broader community. More research is needed to determine the direction of influence between tobacco control policies and students' smoking.

Contraband tobacco on post-secondary campuses in Ontario

In Ontario 27% of young adults smoke, and annual surveillance data suggests tobacco use is plateauing after years of decline. The availability of inexpensive contraband tobacco products maybe contributing to this situation. Limited research has been conducted on the use of contraband tobacco and despite the increasing availability of contraband 'Native cigarettes', no studies to date have examined their use among young adults. Accordingly, this study examines: (a) what proportion of cigarette butts discarded on post-secondary campuses are contraband; and (b) whether the proportion of contraband butts varies between colleges and universities, across seven geographical regions in the province and based on proximity First Nations reserves. In March and April 2009, discarded cigarette butts were collected from the grounds of 25 post-secondary institutions across Ontario. At each school, cigarette butts were collected on a single day from four locations. The collected cigarette butts were reliably sorted into five categories according to their filtertip logos: legal, contraband First NationslNative cigarettes, international and suspected counterfeit cigarettes, unidentifiable and unknown. Contraband use was apparent on all campuses, but varied considerably from school to school. Data suggest that contraband Native cigarettes account for as little as 1 % to as much as 38 % of the total cigarette consumption at a particular school. The highest proportion of contraband was found on campuses in the Northern part of the province. Consumption of Native contraband was generally higher on colleges compared to universities. The presence of contraband tobacco on all campuses suggests that strategies to reduce smoking among young adults must respond to this cohort's use of these products.

Patterns and correlates of tobacco use among young adults at college and university

This thesis describes college and university students' smoking behaviours and examines whether socioenvironmental and personal characteristics experienced during adolescence are differentially associated with their smoking participation. Results show more college students than university students currently smoke (37% and 21 % respectively) and more began smoking prior to post-secondary school (93% and 84% respectively). Early age of onset of alcohol use increased the odds of current smoking (main effect model, OR = 8.56 CI = 6.47, 11.33), especially for university students (interaction effect model, b = 2.35 CI = 7.50, 14.64). Lower levels of high school connectedness were associated with increased odds of current smoking but for university students only (interaction effect model, b = -0.15 CI = 0.84, 0.88). While limitations associated with convenience sampling and low response rate exist, this is the first Canadian study to examine college and university students separately. I t reveals that tobacco control programming needs to differ for college and university students, and early alcohol prevention and school engagement programs for adolescents may influence tobacco use. Given that both educational pathway and use of tobacco are associated with SES, future research may consider examining in more detail, SES-related socioenvironmental variables.