Tobacco Use Insights最新文献

Introduction: Concurrent co-use of tobacco/nicotine and cannabis (T/C) products is common among young people and may increase risks for negative health and psychosocial outcomes, but little is known about developmental patterns of T/C co-use. This study aimed to identify distinct trajectory classes of concurrent T/C co-use from ages 16 to 21 and compare groups on T/C co-use behaviors in young adulthood.

Methods: Participants (n = 2497) reported T/C use on annual online surveys from 2015 to 2019 (ages 16-22). We used parallel process growth mixture models to model simultaneous trajectories of past-month cigarette, e-cigarette, smokeless tobacco, and cannabis use and identify latent classes of T/C trajectories. Classes were then compared on types and number of T/C products used and types of T/C co-use in young adulthood.

Results: Models revealed 4 T/C classes: Low/No T/C Use, Early Concurrent T/C Co-use, Late Concurrent T/C Co-use, and Tobacco Quitters/Cannabis Maintainers. Compared to other classes, the Early Concurrent T/C Co-use group-individuals with rapid progression to concurrent T/C co-use during adolescence-were more likely to report poly-tobacco use, poly-cannabis use, same-occasion sequential T/C co-use and T/C co-administration (ie, mixing T/C) of both combustible and vaping products in young adulthood.

Conclusion: Early progression to concurrent T/C co-use in adolescence is prospectively linked to poly-product use and co-use of T/C products in young adulthood. Prevention efforts targeting co-use of T/C products in adolescence may help to reduce riskier patterns of T/C use and co-use in young adulthood.

Objective: To describe the natural course of cigarette smoking and nicotine dependence (ND) over 1-year in daily smokers ages 15 to 17 living in different social contexts.

Method: Cigarette smoking and ND indicators were measured at baseline and 3- and 12-months thereafter among 95 daily smokers with a total of 123 observations from the Nicotine Dependence in Teens (NDIT) Study in Quebec, Canada, and in 111 daily smokers from the TABagisme chez les ADOlescents (TABADO) Study in Lorraine, France.

Results: NDIT and TABADO participants initiated smoking a mean (SD) of 3.9 (1.6) and 3.7 (2.0) years prior to baseline, respectively. Despite baseline differences in age, sex, age at initiation, number of cigarettes smoked per day and social context, 85% of participants in both samples reported cravings and responded "yes" to "felt like you really need a cigarette". Mean (SD) number of cigarettes smoked per day increased from 9.4 (8.1) to 11.8 (8.0) over 1 year in NDIT (adjusted mean difference (95% CI) = 2.4 (0.8, 3.0)), and from 11.5 (6.5) to 13.5 (6.7) in TABADO (adjusted mean difference (95% CI) = 2.0 (0.8, 3.1)). However, most ND indicators in both samples were stable over time and cessation was infrequent.

Conclusion: Despite notable differences across samples, the natural course of cigarettes smoked per day, ND symptoms and cessation was similar, suggestive of an underlying biologic rather than social process. To quit, adolescents who smoke daily will likely need (pharmacologic) intervention to counter the biological mechanisms underpinning ND, as well as complementary strategies targeting the social context such as creating social environments favoring cessation success.

Background/aims: Guided imagery is an evidence-based, multi-sensory, cognitive process that can be used to increase motivation and achieve a desired behavior. Quitlines are effective, standard care approaches for tobacco cessation; however, utilization of quitlines is low. Using guided imagery-based interventions for smoking cessation may appeal to smokers who do not utilize traditional quitline services. This paper reports the development of program materials for a randomized controlled feasibility trial of a guided imagery-based smoking cessation intervention. The objective of the formative work was to ensure that program materials are inclusive of groups that are less likely to use quitlines, including men and racial/ethnic minority tobacco users.

Methods: A three-phase process was used to complete formative assessment: (1) integration of evidence-based cessation practices into program development; (2) iterative small group interviews (N = 46) to modify the program; and (3) pilot-testing the coaching protocol and study process among a small sample of smokers (N = 5).

Results: The Community Advisory Board and project consultants offered input on program content and study recruitment based on their knowledge of minority communities with whom they conduct outreach. Small group interview participants included members of underserved quitline populations (52.37% non-white; 55.56% men). Only 28.26% of participants had prior experience with guided imagery, but others described the use of similar mindfulness and meditation practices. Participant feedback was incorporated into program materials and protocols.

Discussion: Iteratively collected feedback and pilot testing influenced program content and delivery and informed study processes for a randomized controlled feasibility trial of a telephone-delivered, guided imagery-based intervention.

Background: For health professionals, personal and contextual factors influence addressing patients' smoking habits. The objective of the study was to describe frequency of addressing patients' smoking in 2002 and 2014 and to analyse factors related to addressing patients' smoking habits.

Methods: Data of physicians from 2 postal cross-sectional surveys were used (n = 4140 in 2002, n = 5666 in 2014). The number of respondents was 2747 in 2002 and 2903 in 2014. The corrected response rate was 67.8% and 53.1%, respectively. Age-standardized frequency of addressing patients' smoking during the last 7 days was determined. Distribution of other variables along with confidence intervals (CI) was calculated. Logistic regression was used to analyse association of addressing patients' smoking with attitudes and perceived barriers regarding addressing patients' smoking and with background factors. Fully adjusted odds ratios (OR) with 95% CIs were calculated.

Results: The age-standardized prevalence of addressing patients' smoking habits among men was 84.4% (95% CI 80.3-88.5) in 2002 and 88.3% (95% CI (84.5-92.2) in 2014, among women 82.1% (95% CI 80.2-83.9) and 89.0% (95% CI 87.2-90.8), respectively. According to logistic regression analysis, in 2014, significantly more physicians agreed that it is doctors' responsibility to convince people to stop smoking (among men, OR 2.32; 95% CI 1.19-4.54, among women OR 1.41; 95% CI 1.06-1.88), that smoking prevention should form part of health professionals' training, that physicians should have smoking related hand-out materials, and that lack of time was a barrier to addressing patients' smoking. Addressing patients' smoking was significantly associated with attitudes and perceived barriers regarding addressing patients' smoking, age, and other background factors (among women only).

Conclusions: Addressing patients' smoking habits was more common in 2014 than in 2002, but the change was significant among women only. Compared to 2002, in 2014 physicians' attitudes regarding addressing patients' smoking were more approving. Results of this study are useful for policymakers and institutions involved in organization and development of smoking prevention training and cessation services.

Experimentation with e-cigarettes has grown rapidly among UK adolescents. To date, this topic has been primarily researched in secondary schools, with less understanding of development of attitudes and behaviours at an earlier age. This research reports qualitative data from interviews with pupils, parents, and teachers at 4 case study schools in Wales (N = 42). It draws on Bronfenbrenner's Ecological Systems Theory to consider how the intersection of systems surrounding primary school-age children and their interaction with these systems, shape knowledge, and attitudes towards e-cigarettes and tobacco. Findings indicate that consistent messaging on smoking from school and family was reflected in strong disapproval among pupils and clear understanding of harms. This was less evident for e-cigarettes, where messages were mixed and inconsistent between home and school, with concerns over what to tell children about e-cigarettes in light of mixed messages and absence of official guidance. Implications of findings for policy and teaching are discussed.

Background: Adolescent vaping continues to rise, yet little is known about teen vape users beyond demographics. Effective intervention requires a deeper understanding of the psychographics and interests of adolescent vape users to facilitate targeted communication campaigns.

Methods: We analyzed the 2017-2018 weighted cross-sectional online survey data from Virginia high school students (N = 1594) to identify and describe subgroups of adolescents who vaped. Participants reported 30-day vape use, identification with 5 peer crowds (Alternative, Country, Hip Hop, Mainstream, Popular), social prioritization, agreement with personal values statements, social media and smartphone use, and television and event preferences. We compared vaping rates and frequency by peer crowd using a chi-square analysis with follow-up testing to identify higher-risk crowds and confirmed associations using binary and multinomial logistic regression models with peer crowd scores predicting vaping, controlling for demographics. We then used chi-square and t tests to describe the psychographics, media use, and interests of higher-risk peer crowds and current vape users within those crowds.

Results: Any current vaping was the highest among those with Hip Hop peer crowd identification (25.4%), then Popular (21.3%). Stronger peer crowd identification was associated with increased odds of any current vaping for both crowds, vaping on 1 to 19 days for both crowds, and vaping on 20 to 30 days for Hip Hop only. Compared with other peer crowds and non-users, Hip Hop and Popular youth and current vape users reported greater social prioritization and agreement with values related to being social and fashionable. Hip Hop and Popular youth and current vape users reported heavy Instagram and Snapchat use, as well as unique television show and event preferences.

Conclusions: Hip Hop and Popular adolescents are most likely to vape and should be priority audiences for vaping prevention campaigns. Findings should guide the development of targeted health communication campaigns delivered via carefully designed media strategies.

Smoking continues to be a major public health problem, despite a substantial decline in prevalence rates over the last decades. Quit smoking interventions typically target smokers, whether through individual or group treatment or through broader public health campaigns. Yet, nonsmokers represent a vast and largely untapped resource to help smokers quit. This article describes an innovative approach that targeted nonsmokers through a media-style campaign with repeated reminders about smoking cessation. We tested the nonsmoker intervention in a large randomized trial and showed it to be effective in helping smokers quit. Components of the intervention included repeated mailings with relevant cessation messages over a 10-week period, 2 brief check-in telephone calls, and access to a study Web site. In this article, we discuss details of the intervention development, content, and implementation.

Background: Tobacco use is a major public health concern in India. Its use in young people is linked to increased severity, longer duration, and reduced efforts to seek treatment for tobacco use. A significant proportion of young people are enrolled in colleges, and early prevention during this period has better effectiveness. There is preliminary evidence that prevalence may vary across courses even among students of the same sociocultural background. Hence, we compared the prevalence and correlates of tobacco use among college students enrolled in five common streams of collegiate education (medical, nursing, engineering, arts/science and others, law/fisheries) in Kerala, India.

Methods: 5784 college students from 58 colleges (medical, nursing, engineering, arts, and law and fisheries) selected by cluster random sampling in the district of Ernakulum, Kerala, completed a self-administered questionnaire incorporating standardized instruments. R software was used for analyses. Lifetime prevalence and severity of tobacco use were determined. Sociodemographic variables of tobacco users and nonusers enrolled in various courses were compared using chi-square test and two-way ANOVA. Furthermore, for each course, factors influencing tobacco use were identified using multivariable logistic regression analysis.

Results: The mean age of the sample was 19.5 ± 1.9 years, with the majority being female (65.3%). Lifetime prevalence of tobacco use varied from 0.5% in nursing students, 4.2% in medical students, 8.2% in students of arts and science, 12.5% in engineering students, and 22.8% among other students (law/fisheries). Approximately two-thirds of all tobacco users across courses showed signs of nicotine dependence. Dependent users also showed variance with none in nursing, 2.6% among medicine, 1.6% among arts and science, 1.9% among engineering, and 6.3% among others. Male gender and alcohol use were consistently associated with tobacco use across courses, whereas other examined psychosocial correlates showed variance.

Conclusions: To conclude, it appears that among college students, course-level characteristics may influence risk of tobacco use. This has public health importance as it suggests that interventions need to be tailored bearing this in mind. Future research needs to examine campus-level characteristics that may explain variance.

Introduction: Research has documented higher smoking prevalence with unemployment and greater difficulty with gaining re-employment for those who smoke. Using photo elicitation methods, we sought to gain a deeper understanding of the connection between job-seeking and tobacco use.

Methods: Unemployed daily smokers (18 men, 1 woman) were recruited from the San Francisco Employment Development Department (EDD) and provided disposable cameras with 27 exposures and a list of 20 photo prompts related to job-seeking and tobacco. Study staff reviewed the photos with the participants and audio-recorded their narratives. The photos and narratives were coded for themes.

Results: Of 363 photos, the most frequent photo imagery related to transportation (n = 56, 15.4%), work or education (n = 39, 10.7%), and littered cigarettes (n = 39, 10.7%). Narrated themes centered on motivators to quit smoking (255 mentions from 15 participants); people, places, and things associated with smoking (248 mentions, 16 participants); and motivators to secure work (157 mentions, 13 participants). The intersection of smoking and unemployment received 92 mentions from 11 participants, with 60 mentions (8 participants) identifying smoking as a barrier to re-employment.

Conclusions: Both motivators to quit and associated smoking cues were salient in the environments of job-seeking smokers. Struggles with quitting and perceptions that smoking is harming re-employment success suggest the potential for offering tobacco treatment in EDD settings. With permission, the photos and themes have been incorporated into a tobacco treatment intervention for job-seeking smokers.

Background: Electronic cigarette regulations included in the Tobacco Products Directive (TPD), Article 20, implemented in Europe by May 2017, aimed to improve safety for e-cigarette consumers, and prevent uptake among non-smokers, particularly young people. Before implementation, there were significant concerns from consumers, industry, and some in the scientific community about the potential negative impact of the TPD on people using e-cigarettes to remain abstinent from smoking. To date, there is limited evidence on how the TPD has affected consumers. This study aimed to add insight into how consumers perceived and experienced the regulations.

Methods: Qualitative data, collected between March 2018 and March 2019, relating to participant views of the TPD were extracted from 160 interviews/extended surveys of e-cigarette consumers as part of a wider study into e-cigarette use trajectories (ECtra study). Data were thematically analysed.

Results: Awareness of the TPD among consumers was not universal. Participants' smoking behaviour did not appear to be influenced by the legislation. Participants were reassured by manufacturing regulations and requirements for ingredients labels. Participants responded negatively to changes perceived to cause inconvenience and extra plastic waste. The product restrictions prompted some participants to purchase non-compliant products illegally, potentially putting their safety at risk.

Conclusions: E-cigarette regulation should focus on ensuring product safety. Raising awareness of the TPD among consumers and smokers could be beneficial.