Literature DB >> 16182144

Social modeling in the school environment, student characteristics, and smoking susceptibility: a multi-level analysis.

Scott T Leatherdale1, K Stephen Brown, Roy Cameron, Paul W McDonald.   

Abstract

PURPOSE: To examine how social models in the school environment and individual student characteristics are related to smoking susceptibility.
METHODS: Using data from the School Smoking Profile Project, multi-level logistic regression analysis was used to identify school and student characteristics related to smoking susceptibility among 6679 never smokers from 29 secondary schools in Ontario, Canada.
RESULTS: If a nonsmoking student attended a school where there was student smoking on the school periphery, he or she was less likely to be susceptible to smoking (OR 0.71, 95% CI 0.57-0.89). A significant contextual interaction between the smoking on the school periphery and friends' disapproval of smoking was identified (beta = 0.68 [0.23], p < .01]; students with friends who disapprove of smoking were more likely to be susceptible to smoking if they attended a school with student smoking on the school periphery.
CONCLUSION: Nonsmoking students who attend a school with student smoking on the school periphery are at an increased risk for being susceptible to smoking if they have friends who disapprove of smoking. Future school-based smoking prevention programs might benefit from targeting both individual students and entire schools with programming activities.

Mesh:

Year:  2005        PMID: 16182144     DOI: 10.1016/j.jadohealth.2004.10.008

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  26 in total

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3.  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
Journal:  Prev Sci       Date:  2006-12

4.  Are the recommended taxonomies for the stages of youth smoking onset consistent with youth's perceptions of their smoking status?

Authors:  Scott T Leatherdale; Paul W McDonald
Journal:  Can J Public Health       Date:  2006 Jul-Aug

5.  Integrating public health policy, practice, evaluation, surveillance, and research: the school health action planning and evaluation system.

Authors:  Roy Cameron; Stephen Manske; K Stephen Brown; Mari Alice Jolin; Donna Murnaghan; Chris Lovato
Journal:  Am J Public Health       Date:  2007-02-28       Impact factor: 9.308

6.  Do schools moderate the genetic determinants of smoking?

Authors:  Jason D Boardman; Jarron M Saint Onge; Brett C Haberstick; David S Timberlake; John K Hewitt
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7.  Latino/a Youth Intentions to Smoke Cigarettes: Exploring the Roles of Culture and Gender.

Authors:  Elma I Lorenzo-Blanco; Seth J Schwartz; Jennifer B Unger; Byron L Zamboanga; Sabrina E Des Rosiers; Shi Huang; Juan A Villamar; Daniel W Soto; Monica Pattarroyo; Lourdes Baezconde-Garbanati
Journal:  J Lat Psychol       Date:  2015-03-16

8.  Smoking susceptibility among never-smokers: data from the 2006-07 National Youth Smoking Survey.

Authors:  Wiworn Sae Yang; Scott T Leatherdale; Rashid Ahmed
Journal:  Can J Public Health       Date:  2011 Jul-Aug

9.  School smoking policy characteristics and individual perceptions of the school tobacco context: are they linked to students' smoking status?

Authors:  Catherine M Sabiston; Chris Y Lovato; Rashid Ahmed; Allison W Pullman; Valerie Hadd; H Sharon Campbell; Candace Nykiforuk; K Stephen Brown
Journal:  J Youth Adolesc       Date:  2009-06-07

10.  Association between sedentary behavior, physical activity, and obesity: inactivity among active kids.

Authors:  Suzy L Wong; Scott T Leatherdale
Journal:  Prev Chronic Dis       Date:  2008-12-15       Impact factor: 2.830

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