Tobacco Prevention Programs Work, Save Money

2004 ◽  
Keyword(s):  
Prevention Programs ◽  
Tobacco Prevention

An Evaluation of Youth Empowerment Tobacco Prevention Programs in the Southwest

2008 ◽  
Vol 38 (1) ◽  
pp. 39-53 ◽  
Author(s):  
Lisa Marr-Lyon ◽  
Kathleen Young ◽  
Gilbert Quintero
Keyword(s):  
Prevention Programs ◽  
Tobacco Prevention ◽  
Youth Empowerment

Bridge-It: A System for Predicting Implementation Fidelity for School-Based Tobacco Prevention Programs

2006 ◽  
Vol 7 (2) ◽  
pp. 197-207 ◽  
Author(s):  
Phyllis M. Gingiss ◽  
Cynthia Roberts-Gray ◽  
Melynda Boerm
Keyword(s):  
Implementation Fidelity ◽  
Prevention Programs ◽  
Tobacco Prevention ◽  
School Based

scholarly journals Are experimental smokers different from their never-smoking classmates? A multilevel analysis of Canadian youth in grades 9 to 12

2014 ◽  
Vol 34 (2/3) ◽  
pp. 121-131 ◽  
Author(s):  
SC Kaai ◽  
SR Manske ◽  
ST Leatherdale ◽  
KS Brown ◽  
D Murnaghan
Keyword(s):  
School Connectedness ◽  
Prevention Programs ◽  
School Level ◽  
Lower Grade ◽  
Tobacco Prevention ◽  
School Students ◽  
Youth Smoking Survey ◽  
Canadian Youth ◽  
Pocket Money ◽  
Nationally Representative

Introduction Understanding the characteristics of experimental smoking among youth is critical for designing prevention programs. This study examined which student- and school-level factors differentiated experimental smokers from never smokers in a nationally representative sample of Canadian students in grades 9 to 12. Methods School-level data from the 2006 Canadian Census and one built environment characteristic (tobacco retailer density) were linked with data from secondary school students from the 2008–2009 Canadian Youth Smoking Survey and examined using multilevel logistic regression analyses. Results Experimental smoking rates varied across schools (p $lt; .001). The location (adjusted odds ratio [AOR] = 0.66, 95% CI: 0.49–0.89) of the school (urban vs. rural) was associated with the odds of a student being an experimental smoker versus a never smoker when adjusting for student characteristics. Students were more likely to be experimental smokers if they were in a lower grade, reported low school connectedness, used alcohol or marijuana, believed that smoking can help people relax, received pocket money each week and had a family member or close friend who smoked cigarettes. Conclusion School-based tobacco prevention programs need to be grade-sensitive and comprehensive in scope; include strategies that can increase students' attachment to their school; and address multi-substance use, tobacco-related beliefs and the use of pocket money. These programs should also reach out to students who have smoking friends and family members. Schools located in rural settings may require additional resources.

scholarly journals Systematic review of school tobacco prevention programs in African countries from 2000 to 2016

PLoS ONE ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. e0192489 ◽  
Author(s):  
Akihiro Nishio ◽  
Junko Saito ◽  
Sachi Tomokawa ◽  
Jun Kobayashi ◽  
Yuka Makino ◽  
...  
Keyword(s):  
Systematic Review ◽  
Prevention Programs ◽  
Tobacco Prevention ◽  
African Countries

scholarly journals Dohányzói életutak magyar serdülők körében

2017 ◽  
Vol 158 (2) ◽  
pp. 67-76
Author(s):  
Melinda Pénzes ◽  
Edit Czeglédi ◽  
Péter Balázs ◽  
Róbert Urbán
Keyword(s):  
Risk Factors ◽  
Smoking Behavior ◽  
Prevention Programs ◽  
Tobacco Prevention ◽  
Cigarette Use ◽  
Prospective Survey ◽  
Age Cohorts ◽  
Use Patterns ◽  
Yearly Data ◽  
Homogenous Population

Abstract: Introduction: Understanding adolescent smoking trajectories is necessary for tailored prevention programs. Aim: To identify adolescent cigarette use patterns and risk factors of smoking trajectories by a longitudinal study. Method: We conducted a three-year prospective survey in two age cohorts (6th and 9th school grades) of metropolitan adolescents (n = 1,092) with yearly data collection by self-administered questionnaires. Five smoking trajectory groups were defined by cigarette smoking data. Results: 67.5% of the sample remained nonsmoker, 11.3% smoked all the time, 14.3% were initiators, 3.3% quitters and 3.7% experimenters. Members of smoking trajectory groups differed significantly from each other according to number of smoking friends, parental smoking, family structure, academic achievement and weekly allowance at baseline. Conclusions: Concerning tobacco prevention programs, adolescents are not homogenous population, because distinct set of risk factors are highlighted in their different smoking behavior groups. Orv. Hetil., 2017, 158(2), 67–76.

scholarly journals Effects of a Social-Network Method for Group Assignment Strategies on Peer-Led Tobacco Prevention Programs in Schools

2003 ◽  
Vol 93 (11) ◽  
pp. 1837-1843 ◽  
Author(s):  
Thomas W. Valente ◽  
Beth R. Hoffman ◽  
Annamara Ritt-Olson ◽  
Kara Lichtman ◽  
C. Anderson Johnson
Keyword(s):  
Social Network ◽  
Prevention Programs ◽  
Tobacco Prevention ◽  
Group Assignment ◽  
Network Method

scholarly journals Trends in E-Cigarette, Cigarette, Cigar, and Smokeless Tobacco Use Among US Adolescent Cohorts, 2014–2018

2020 ◽  
Vol 110 (2) ◽  
pp. 163-165 ◽  
Author(s):  
Rebecca Evans-Polce ◽  
Phil Veliz ◽  
Carol J. Boyd ◽  
Vita V. McCabe ◽  
Sean Esteban McCabe
Keyword(s):  
United States ◽  
Tobacco Use ◽  
Smokeless Tobacco ◽  
Prevention Programs ◽  
The United States ◽  
Tobacco Prevention ◽  
Cigarette Use ◽  
Smokeless Tobacco Use ◽  
Prospective Research

Objectives. To examine changes in age of initiation of e-cigarette, cigarette, cigar, and smokeless tobacco use among adolescents in the United States. Methods. We used data from 5 cohorts of the National Youth Tobacco Survey (2014–2018; n = 26 662). Results. In 2014, 8.8% of lifetime e-cigarette users initiated use at 14 years or younger, as compared with 28.6% of lifetime e-cigarette users in 2018. There was no such change in initiation ages for cigarettes, cigars, and smokeless tobacco among lifetime users of each of these products. Conclusions. US adolescents are initiating e-cigarette use at younger ages in recent years. This is concerning given the association of e-cigarette use with subsequent cigarette use. Continued surveillance of these trends and additional prospective research are needed. Tobacco prevention programs, policies, and regulations that make it more difficult for youths to obtain e-cigarettes are warranted.

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