scholarly journals Counteracting the Influence of Peer Smoking on YouTube

2017 ◽  
Vol 22 (4) ◽  
pp. 337-345 ◽  
Author(s):  
Daniel Romer ◽  
Patrick E. Jamieson ◽  
Kathleen Hall Jamieson ◽  
Christopher Jones ◽  
Susan Sherr
Keyword(s):  
2005 ◽  
Vol 31 (2) ◽  
pp. 139-151 ◽  
Author(s):  
Janet Audrain-McGovern ◽  
Daniel Rodriguez ◽  
Kenneth P. Tercyak ◽  
Geoffrey Neuner ◽  
Howard B. Moss

2016 ◽  
Vol 88 ◽  
pp. 168-175 ◽  
Author(s):  
Mirte A.G. Kuipers ◽  
Pierre-Olivier Robert ◽  
Matthias Richter ◽  
Katharina Rathmann ◽  
Arja H. Rimpelä ◽  
...  

2014 ◽  
Vol 32 (6) ◽  
pp. 564-570 ◽  
Author(s):  
Lawson Eng ◽  
Jie Su ◽  
Xin Qiu ◽  
Prakruthi R. Palepu ◽  
Henrique Hon ◽  
...  

Purpose Second-hand smoke (SHS; ie, exposure to smoking of friends and spouses in the household) reduces the likelihood of smoking cessation in noncancer populations. We assessed whether SHS is associated with cessation rates in lung cancer survivors. Patients and Methods Patients with lung cancer were recruited from Princess Margaret Cancer Centre, Toronto, ON, Canada. Multivariable logistic regression and Cox proportional hazard models evaluated the association of sociodemographics, clinicopathologic variables, and SHS with either smoking cessation or time to quitting. Results In all, 721 patients completed baseline and follow-up questionnaires with a mean follow-up time of 54 months. Of the 242 current smokers at diagnosis, 136 (56%) had quit 1 year after diagnosis. Exposure to smoking at home (adjusted odds ratio [aOR], 6.18; 95% CI, 2.83 to 13.5; P < .001), spousal smoking (aOR, 6.01; 95% CI, 2.63 to 13.8; P < .001), and peer smoking (aOR, 2.49; 95% CI, 1.33 to 4.66; P = .0043) were each associated with decreased rates of cessation. Individuals exposed to smoking in all three settings had the lowest chances of quitting (aOR, 9.57; 95% CI, 2.50 to 36.64; P < .001). Results were similar in time-to-quitting analysis, in which 68% of patients who eventually quit did so within 6 months after cancer diagnosis. Subgroup analysis revealed similar associations across early- and late-stage patients and between sexes. Conclusion SHS is an important factor associated with smoking cessation in lung cancer survivors of all stages and should be a key consideration when developing smoking cessation programs for patients with lung cancer.


2007 ◽  
Vol 22 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Laurie B. Fisher ◽  
Jonathan P. Winickoff ◽  
Carlos A. Camargo ◽  
Graham A. Colditz ◽  
A. Lindsay Frazier

Purpose. To examine the association between household smoking restrictions and adolescent smoking, controlling for parental smoking, peer smoking, and tobacco marketing. Design. Cross-sectional analysis of 1999 data from the Growing Up Today Study, a longitudinal cohort of adolescents. Setting. Self-report questionnaire. Subjects. 10,593 adolescents aged 12 to 18 years. Measures. The dependent variable was established smoking (smoking ≥ 100 cigarettes). Variables of interest were household smoking restrictions, parental smoking, peer smoking, and tobacco promotional item (TPI) possession. Results. Four percent of participants reported that their households permitted smoking. Parental smoking, peer smoking, and TPI possession were significantly associated with established smoking. In logistic regression models adjusted for age, gender, peer smoking, and TPI possession, adolescent smoking was inversely related to the presence of a restrictive household policy (odds ratio [OR] = 0.67, 95% confidence interval [CI] = 0.48–0.93); however, when parental smoking was added to this model, the association was attenuated (OR = 0.94, CI = 0.65–1.35). When only one parent in the household smoked, smoking restrictions were more common when this parent was the father. Conclusions. Although household smoking restrictions offer health benefits, they do not appear to be associated with adolescent smoking after accounting for other factors. Prior studies did not include parental smoking, peer smoking, and marketing influences. This analytic difference may explain apparent contradictions in the literature.


2003 ◽  
Vol 93 (3) ◽  
pp. 859-866 ◽  
Author(s):  
Jennifer A. Epstein ◽  
Margaret Doyle ◽  
Gilbert J. Botvin

Hispanic seventh and eighth graders ( N = 1,038) in 22 New York City middle or junior high schools completed self-report questionnaires with items related to drug use (cigarette smoking, alcohol use, and marijuana use), linguistic acculturation (language use with parents), perceived peer smoking norms, perceived peer drinking norms, and psychological distress. Students who spoke English with their parents and bilingual students who spoke English and Spanish with their parents engaged in greater polydrug use than those who spoke Spanish with their parents. Bilingual students perceived that a higher proportion of their peers drink than those who spoke Spanish with their parents, and this higher perception of their peers' drinking was associated with greater polydrug use controlling for linguistic acculturation. In the final model, linguistic acculturation was no longer significant and peer drinking norms predicted polydrug use, peer drinking norms mediated the relationship between linguistic acculturation and polydrug use, but not peer smoking norms and psychological distress.


2017 ◽  
Vol 17 (3) ◽  
pp. 219-238 ◽  
Author(s):  
Silda Nikaj

Abstract This paper investigates the effect of peer smoking on individual smoking among youths in 10 countries that participated in the European Global Youth Tobacco Survey (GYTS). I control for endogeneity in school selection and unobserved school-level characteristics through the use of school fixed-effects. I use instrumental variables to address the simultaneity in peer and individual behaviours. Identification arises by comparing students in different classes within the same school. On average, an increase in the share of classmates who smoke by 10 percentage points increases the probability that an individual in that class will smoke by 3 to 6.9 percentage points. The results imply that any policy intervention such as anti-smoking messages, smoking bans, or higher cigarette prices will be even more cost-effective because of the social multiplier effect of peers – policies affecting some individuals in a group will generate spillovers to others through the peer effect.


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