Literature DB >> 24794715

How adolescents view the tobacco endgame and tobacco control measures: trends and associations in support among 14-15 year olds.

Richard Jaine1, Benjamin Healey2, Richard Edwards1, Janet Hoek3.   

Abstract

BACKGROUND AND AIMS: Adolescents represent the next generation and have the greatest amount to gain from the tobacco endgame. They will provide the future momentum to achieve the tobacco endgame, thus it is important that their views on interventions are monitored. We examined support among 14-15-year-old New Zealanders for tobacco endgame goals and measures, and trends in this support from 2009 to 2012.
METHODS: This study used data from an annual survey of over 25 000 Year 10 students (14-15 year olds) undertaken by Action on Smoking and Health New Zealand. We assessed support for five tobacco control goals and measures: living in a smoke-free country; having fewer tobacco retail outlets; not selling tobacco in 10 years' time; implementing outdoor smoking bans; and raising the price of tobacco.
RESULTS: Support for living in a smoke-free country was 59%, while support for a ban on all tobacco sales in 10 years' time was 57% in the most recent survey year. Most respondents supported each of the tobacco control measures and gave strongest support to having fewer places where tobacco could be sold (71% in 2012). Support for the other two tobacco control measures in the most recent year ranged from 59% to 64% and had increased over time, in most cases significantly. Support was strongest among non-smokers and declined as participants' smoking frequency increased.
CONCLUSIONS: Young people support New Zealand's smoke-free goal and interventions that could help achieve it; this evidence should galvanise policy action, which remains out of step with public opinion. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  End game; Environment; Prevention; Public opinion; Public policy

Mesh:

Year:  2014        PMID: 24794715     DOI: 10.1136/tobaccocontrol-2013-051440

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  7 in total

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Authors:  Allison M Glasser; Megan E Roberts
Journal:  Health Place       Date:  2020-04-27       Impact factor: 4.078

2.  Changes in support for bans of illicit drugs, tobacco, and alcohol among adolescents and young adults in Europe, 2008-2014.

Authors:  Raffaele Palladino; Thomas Hone; Filippos T Filippidis
Journal:  Int J Public Health       Date:  2017-08-09       Impact factor: 3.380

3.  Adolescent Support for Tobacco Control Policies and Associations with Tobacco Denormalization Beliefs and Harm Perceptions.

Authors:  Jianjiu Chen; Sai Yin Ho; Lok Tung Leung; Man Ping Wang; Tai Hing Lam
Journal:  Int J Environ Res Public Health       Date:  2019-01-07       Impact factor: 3.390

Review 4.  Measuring public opinion and acceptability of prevention policies: an integrative review and narrative synthesis of methods.

Authors:  Eloise Howse; Katherine Cullerton; Anne Grunseit; Erika Bohn-Goldbaum; Adrian Bauman; Becky Freeman
Journal:  Health Res Policy Syst       Date:  2022-03-04

5.  Schools as smoke-free zones? Barriers and facilitators to the adoption of outdoor school ground smoking bans at secondary schools.

Authors:  A D Rozema; J J P Mathijssen; M W J Jansen; J A M van Oers
Journal:  Tob Induc Dis       Date:  2016-03-29       Impact factor: 2.600

Review 6.  The tobacco endgame: a qualitative review and synthesis.

Authors:  Patricia A McDaniel; Elizabeth A Smith; Ruth E Malone
Journal:  Tob Control       Date:  2015-08-28       Impact factor: 7.552

7.  Association of the Time to First Cigarette and the Prevalence of Chronic Respiratory Diseases in Chinese Elderly Population.

Authors:  Chao Wang; Heng Jiang; Yi Zhu; Yingying Guo; Yong Gan; Qingfeng Tian; Yiling Lou; Shiyi Cao; Zuxun Lu
Journal:  J Epidemiol       Date:  2021-12-17       Impact factor: 3.809

  7 in total

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