Social Network Smoking Research Articles

Predictive validity of the tobacco marketing receptivity index among non-smoking youth

IntroductionIn a previous cross-sectional study of early adolescents, we developed a marketing receptivity index (MRI) that integrates point-of-sale (PoS) marketing exposures, brand recall, and ownership of branded merchandise. The MRI had independent, positive associations with smoking susceptibility among never smokers and with current smoking behavior. The current longitudinal study assessed the MRI's predictive validity among adolescents who have never smoked cigarettes MethodsData come from a longitudinal, school-based survey of 33 secondary schools in Argentina. Students who had never smoked at baseline were followed up approximately 17months later (n=1700). Questions assessed: PoS marketing exposure by querying frequency of going to stores where tobacco is commonly sold; cued recall of brand names for 3 cigarette packages from dominant brands but with the brand name removed; and ownership of branded merchandise. A four-level MRI was derived: 1.low PoS marketing exposure only; 2. high PoS exposure or recall of 1 brand; 3. recall of 2 or more brands; and 4. ownership of branded merchandise. Logistic regression models regressed smoking initiation by follow up survey on the MRI, each of its components, and students' willingness to try a brand, adjusting for sociodemographics, social network smoking, and sensation seeking. ResultsThe MRI had an independent positive association with smoking initiation. When analyzed separately, each MRI component was associated with outcomes except branded merchandise ownership. ConclusionsThe MRI and its components were associated with smoking initiation, except for branded merchandise ownership, which may better predict smoking progression than initiation. The MRI appears valid and useful for future studies.

What factors are associated with abstinence amongst socioeconomically disadvantaged smokers? A cross-sectional survey of use of cessation aids and quitting approach.

This study aimed to compare current and ex-smokers' sociodemographic and psychosocial characteristics, use of cessation aids and abrupt versus gradual quitting approaches. A cross-sectional survey of financially disadvantaged adults attending a community service organisation was conducted in New South Wales, Australia, between February 2012 and December 2013. Sociodemographic and psychosocial factors, use of cessation aids and gradual versus abrupt quit approach were assessed. χ2 tests and logistic regression compared characteristics of current and ex-smokers. Of 905 individuals who completed the survey, 639 (71%) were current smokers and 107 (12%) were ex-smokers. Ex-smokers were older [odds ratio (OR)=1.03, 95% confidence interval (CI)=1.01, 1.05], had higher odds of being female (OR=1.67, 95% CI=1.06, 2.65), lower odds of being financially stressed (OR=0.87, 95% CI=0.76, 0.99), lower odds of anxiety and depression symptoms (OR=0.91, 95% CI=0.84, 0.98) and lower odds of having friends and family who were smokers (ORs ranged from 0.30-0.43). Ex-smokers had lower odds of using cessation aids and higher odds of reporting abrupt quitting during their last quit attempt (OR=4.48, 95% CI=2.66, 7.54). Lower levels of disadvantage, less smoking in social networks, less use of cessation aids and abrupt (vs. gradual) quitting approaches were associated with being an ex-smoker. Lower use of evidence based methods to quit by disadvantaged ex-smokers requires further exploration. [Twyman L, Bonevski B, Paul C, Bryant J, West R, Siahpush M, D'este C, Oldmeadow C, Palazzi K. What factors are associated with abstinence amongst socioeconomically disadvantaged smokers? A cross-sectional survey of use of cessation aids and quitting approach. Drug Alcohol Rev 2017;00:000-000].

The role of smoking in social networks on smoking cessation and relapse among adults: A longitudinal study.

Understanding the spread of smoking cessation and relapse within social networks may offer new approaches to further curb the smoking epidemic. Whether smoking behavior among social network members determines smoking cessation and relapse of adults however, is less known. For this study, longitudinal data of 4623 adults participating in the Dutch Longitudinal Internet Studies for the Social sciences (LISS) panel were collected in March 2013 with a follow-up in 2014. Logistic regression was used to examine the association between the proportion of smokers in social networks, and (1) smoking cessation (n=762) and (2) smoking relapse (n=1905). Analyses were adjusted for the size of the network, age, sex, and education. Respondents with the largest proportion of smokers in their social network were less likely to quit smoking (OR=0.25; 95% CI=0.11-0.66) and more likely to experience a relapse (6.08; 3.01-12.00). Smoking cessation and relapse were most strongly associated with the proportion of smokers among household members and friends. The proportion of smokers in family outside the household was not related to smoking cessation and smoking relapse. In conclusion, smoking behavior in social networks, especially among household members and friends, is strongly associated with smoking cessation and relapse. These findings further support the spread of smoking within social networks, and provide evidence for network-based interventions, particularly including household members and friends.