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A Multi-Level Analysis Examining how Smoking Friends, Parents, and Older Students in the School Environment are Risk Factors for Susceptibility to Smoking Among Non-Smoking Elementary School Youth
Authors:Scott T. Leatherdale  Paul W. McDonald  Roy Cameron  Mari Alice Jolin  K. Stephen Brown
Affiliation:(1) Division of Preventive Oncology, Cancer Care Ontario, Toronto, ON, Canada, M5G 2L7;(2) Department of Health Studies and Gerontology, University of Waterloo, Toronto, ON, Canada, M5G 2L7;(3) Department of Public Health Science, University of Toronto, Toronto, ON, Canada;(4) Population Health Research Group, University of Waterloo, Toronto, ON, Canada, M5G 2L7;(5) Centre for Behavioural Research and Program Evaluation of the National Cancer, Institute of Canada and the Canadian Cancer Society, Toronto, ON, Canada, M5G 2L7;(6) Department of Statistics and Actuarial Science, University of Waterloo, Toronto, ON, Canada, M5G 2L7
Abstract:The purpose of this study was to examine how social models for smoking are related to smoking susceptibility among a sample of non-smoking elementary school students. The Tobacco Module of the School Health Action, Planning and Evaluation System (SHAPES) was administered to 6,431 students (grades 6 to 8) in 57 elementary schools in the province of Ontario, Canada. Multi-level logistic regression analysis was used to examine how smoking friends, parents, and the prevalence of smoking among grade 8 students at a school were related to smoking susceptibility among the 2,478 non-smoking grade 6 and 7 students. Findings indicate that non-smoking grade 6 and 7 students are more likely to be susceptible to smoking if they have (a) smoking friends, (b) a mother who smokes, or (c) two or more close friends who smoke and attend a school with a relatively high smoking rate among the grade 8 students. Sub-populations of non-smoking youth may be at increased risk for smoking because of the elementary school they attend. Future school-based smoking prevention programs might benefit from targeting prevention programming activities to the schools that are putting students at the greatest risk for smoking.
Keywords:Smoking susceptibility  Multi-level logistic regression  Social influences  Youth  Prevention
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