The relationship between school-based smoking policies and prevention programs on smoking behavior among grade 12 students in Prince Edward Island: A multilevel analysis

School of Nursing, University Prince Edward Island, Charlottetown, Prince Edward Island, Canada.
Preventive Medicine (Impact Factor: 3.09). 05/2007; 44(4):317-22. DOI: 10.1016/j.ypmed.2007.01.003
Source: PubMed


To examine how school-based smoking policies and prevention programs are associated with occasional and regular smoking among a cohort of grade 12 students in Prince Edward Island, Canada, between 1999 and 2001.
Data from the Tobacco Module of the School Health Action, Planning and Evaluation System (SHAPES) collected from 3,965 grade 12 students in 10 high schools were examined using multi-level regression analysis.
Attending a school with smoking prevention programming was associated with a decreased risk of being an occasional smoker (OR 0.42, 95% CI: 0.18, 0.97). School-based policies banning smoking on school property were associated with a small increased risk of occasional smoking (OR 1.06, 95% CI: 0.67, 1.68) among some students. The combination of both policies and programs was not associated with either occasional or regular smoking.
This preliminary evidence suggests that tailored school-based prevention programming may be effective at reducing smoking uptake; however, school smoking policies and the combination of programs and policies were relatively ineffective. These findings suggest that a new approach to school-based tobacco use prevention may be required.

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    • "Since students (level-1) are nested within schools (level-2), a series of multi-level logistic regression analyses were performed to examine how student- and school-level factors were associated with our three smoking behaviour outcomes: smoking susceptibility among never smokers (Model 1); occasional smoking (Model 2); and daily smoking (Model 3). Consistent with other multi-level studies [23,27], a four step modelling procedure was used for each outcome. In Step 1, a random model effect was used to examine if differences in the outcome were random or fixed across schools. "
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