Support for and potential impacts of key Smokefree 2025 strategies among Maori who smoke.

AIM: The recently passed Smokefree Environments and Regulated Products (Smoked Tobacco) Amendment Act has the potential to profoundly reduce smoking prevalence and related health inequities experienced among Maori. This study examined support for, and potential impacts of, key measures included within the legislation. METHOD: Data came from Wave 1 (2017-2019) of the Te Ara Auahi Kore longitudinal study, which was conducted in partnership with five primary health organisations serving Maori communities. Participants were 701 Maori who smoked. Analysis included both descriptive analysis and logistic regression. RESULTS: More Maori participants supported than did not support the Smokefree 2025 (SF2025) goal of reducing smoking prevalence to below 5%, and the key associated measures. Support was greatest for mandating very low nicotine cigarettes (VLNCs). Participants also believed VLNCs would prompt high rates of quitting. Participants who had made more quit attempts or reported less control over their life were more likely to support VLNCs. CONCLUSION: There was support for the SF2025 goal and for key measures that could achieve it. In particular, VLNCs may have significant potential to reduce smoking prevalence among Maori. As part of developing and implementing these measures it will be important to engage with Maori who smoke and their communities.

Cigarette Smoking Cessation Counselling in Pregnant Smokers with Mental Illness/Substance Use Disorders.

Our objective was to determine if past-year mental illness and substance use disorders (SUD) among pregnant smokers predicted the probability of receipt of counselling for cigarette smoking cessation. A secondary analysis of data from the National Survey on Drug Use and Health 2016-2019 was conducted. We found that approximately 83% of pregnant smokers (N = 373) received screening for cigarette smoking, and 65% received cessation counselling. Having mental illness predicted the probability of receipt of counselling for smoking cessation in pregnant smokers (adjusted odds ratio [AOR]: 3.75; 95% confidence interval [CI]: 1.25-11.27). However, having SUD (alcohol [AOR: 2.30; 95%CI: 0.57-9.26] or illicit drug use [AOR: 1.32; 95%CI: 0.26-6.82]) or comorbid mental illness and SUD (AOR: 0.23; 95%CI: 0.03-2.03) was not associated with receipt of counselling for smoking cessation. Practice guidelines and policy initiatives are needed to reduce cigarette use and its related adverse health outcomes in pregnant smokers with SUD.

The Association of Cannabis Use and Cigarette Smoking with Psychological Distress Among Adults in California.

BACKGROUND: In November 2016, California voters passed the Adult Use of Marijuana Act making recreational cannabis sales legal to adults aged 21and older starting January 1st, 2018. This study aims to understand the relationship of cannabis use and cigarette smoking with serious psychological distress (SPD) in California in light of the legalization of recreational cannabis sales. METHODS: This cross-sectional study included 42,313 adult participants from the 2017 to 2018 California Health Interview Surveys. We used the Kessler-6 (K6) scale to measure psychological distress in the past 30 days. Multiple logistic regression models were used to examine the association between cannabis/cigarette use and SPD. RESULTS: Cannabis use was positively associated with SPD (AOR = 2.48, 95% CI = 1.57, 3.91), but this association was not significantly different before and after recreational cannabis sales legalization in California (AOR = 0.82, 95% CI = 0.72, 2.05). Cigarette smoking was also positively associated with SPD (AOR = 2.76, 95% CI = 2.05, 3.71). Compared to those who used neither cannabis nor cigarettes, sole cannabis users (AOR = 2.51, 95% CI = 1.75, 3.60), sole cigarette smokers (AOR = 3.23, 95% CI = 2.28, 4.60), and dual users of cannabis and cigarettes (AOR = 5.65, 95% CI = 4.04, 7.89) were more likely to report SPD. Dual users were also more likely to report SPD than sole cannabis users (AOR = 2.25; 95% CI = 1.48, 3.43) and sole cigarette smokers (AOR = 1.75; 95% CI = 1.18, 2.59). CONCLUSIONS: These findings provide evidence for the need to develop effective cessation intervention strategies targeting individuals with SPD to reduce their cannabis use and dual-use of cannabis and cigarettes.

Evidence of the Effectiveness of Pictorial Health Warnings on Cigarette Packaging in Nepal.

BACKGROUND: Tobacco Control Act of 2010 mandates government to implement at least 75% pictorial health warnings (PHWs) on tobacco packaging that was enforced in 2013. The purpose of the study was to assess the effectiveness of PHWs and its impact to the policy change. METHODS: A cross-sectional study was conducted in 9 cities between September 2014 and March 2015. Direct interviews were made among 2250 randomly selected individuals. The effectiveness of PHWs were measured as perceived: i) scariness; ii) quit motivation iii) convincing youth not to start smoking; iv) encouraging ex-smokers to remain as quitters; v) building public awareness. Logistic regression analysis was used to determine the factors associated with the effectiveness of PHWs. RESULTS: Of the 2250 participants, 29.8% (670) were current smokers, 8.6% (193) were ex-smokers and 97.6% believed that smoking was addictive. PHWs made 83% of the participants scared. Participants believed that PHWs would be effective in motivating smokers to quit (80.2%), in convincing youth not to start smoking (86.8%), in encouraging ex-smokers to remain as quitters (89.1%) and in building public awareness on the dangers of smoking (94%). PHWs made 58% of the current smokers intended to quit smoking and reduced their daily intake of cigarettes from 11 to 5 on average.  Current smokers preferred to purchase loose cigarettes rather than a pack. The covariates significantly associated with the effectiveness of PHWs were current smokers, ex-smokers and addiction. CONCLUSION: PHWs were found important to motivate smokers to quit smoking, to reduce consumption of cigarettes and to prevent relapse in ex-smokers. Evidence from the study had triggered policy changes which included enlargement of the size of PHW to 90% and the release of a notification to ban selling of loose cigarettes. Thus, the warning messages with pictures are required to be improved and rotated.

Incidence of Cigarette Smoking Relapse Among Individuals Who Switched to e-Cigarettes or Other Tobacco Products.

Importance: Although e-cigarettes are not approved as a cessation device, many who smoke believe that e-cigarettes will help them quit cigarette smoking successfully. Objective: To assess whether people who recently quit smoking and who had switched to e-cigarettes or another tobacco product were less likely to relapse to cigarette smoking compared with those who remained tobacco free. Design, Setting, and Participants: This cohort study analyzed a nationally representative sample of US households that participated in 4 waves of the Population Assessment of Tobacco and Health Study (conducted 2013 through 2017), combining 2 independent cohorts each with 3 annual surveys. Eligible participants were individuals who smoked at baseline, had recently quit at the first follow-up, and completed the second follow-up survey. Exposures: Use of e-cigarettes or alternate tobacco products at follow-up 1 after recently quitting smoking. Main Outcomes and Measures: Weighted percentage of participants with over 12 months abstinence by follow-up 2. Results: Of a total of 13 604 participants who smoked cigarettes at baseline, 9.4% (95% CI, 8.7%-10.0%) recently had quit smoking (mean age, 41.9; 95% CI, 39.7-46.6 years; 641 [43.2%] women) Of these, 22.8% (95% CI, 19.7%-26.0%) had switched to e-cigarettes, with 17.6% (95% CI, 14.8%-20.5%) using them daily. A total of 37.1% (95% CI, 33.7%-40.4%) used a noncigarette tobacco product and 62.9% (95% CI, 59.6%-66.3%) were tobacco free. Rates of switching to e-cigarettes were highest for those who were in the top tertile of tobacco dependence (31.3%; 95% CI, 25.0%-37.7%), were non-Hispanic White (26.4%; 95% CI, 22.3%-30.4%), and had higher incomes (annual income ≥$35 000, 27.5%; 95% CI, 22.5%-32.4% vs <$35 000, 19.3%; 95% CI, 16.3%-22.3%). At follow-up 2, unadjusted relapse rates were similar among those who switched to different tobacco products (for any tobacco product: successfully quit, 41.5%; 95% CI, 36.2%-46.9%; relapsed with significant requit, 17.0%; 95% CI, 12.4%-21.6%; currently smoking, 36.2%; 95% CI, 30.9%-41.4%). Controlled for potential confounders, switching to any tobacco product was associated with higher relapse rate than being tobacco free (adjusted risk difference, 8.5%; 95% CI, 0.3%-16.6%). Estimates for those who switched to e-cigarettes, whether daily or not, were not significant. While individuals who switched from cigarettes to e-cigarettes were more likely to relapse, they appeared more likely to requit and be abstinent for 3 months at follow-up 2 (17.0%; 95% CI, 12.4%-21.6% vs 10.4%; 95% CI, 8.0%-12.9%). Conclusions and Relevance: This large US nationally representative study does not support the hypothesis that switching to e-cigarettes will prevent relapse to cigarette smoking.

Balancing Consideration of the Risks and Benefits of E-Cigarettes.

The topic of e-cigarettes is controversial. Opponents focus on e-cigarettes' risks for young people, while supporters emphasize the potential for e-cigarettes to assist smokers in quitting smoking. Most US health organizations, media coverage, and policymakers have focused primarily on risks to youths. Because of their messaging, much of the public-including most smokers-now consider e-cigarette use as dangerous as or more dangerous than smoking. By contrast, the National Academies of Science, Engineering, and Medicine concluded that e-cigarette use is likely far less hazardous than smoking. Policies intended to reduce adolescent vaping may also reduce adult smokers' use of e-cigarettes in quit attempts. Because evidence indicates that e-cigarette use can increase the odds of quitting smoking, many scientists, including this essay's authors, encourage the health community, media, and policymakers to more carefully weigh vaping's potential to reduce adult smoking-attributable mortality. We review the health risks of e-cigarette use, the likelihood that vaping increases smoking cessation, concerns about youth vaping, and the need to balance valid concerns about risks to youths with the potential benefits of increasing adult smoking cessation.

Trends of maternal waterpipe, cigarettes, and dual tobacco smoking in Jordan. A decade of lost opportunities.

BACKGROUND: Maternal tobacco use is a global public health problem. In the literature, the focus was mainly on cigarette smoking, minimally on waterpipe use, and totally ignored dual use among pregnant women. We estimated the prevalence of current maternal tobacco use by tobacco product (cigarette, waterpipe, and dual use) over a period of ten years (2007 to 2017), and examined the socio-demographic patterning of maternal tobacco use. METHODS: A secondary analysis of Jordan DHS four data waves was conducted for women who reported to be pregnant at the time of the survey. Current cigarette and waterpipe tobacco use were investigated. Prevalence estimates for cigarette-only, waterpipe-only, and dual use, as well as for cigarette, regardless of waterpipe, and waterpipe, regardless of cigarette, were reported. The effect of independent variables on cigarette smoking, waterpipe use, and dual use was assessed. Logistic regression models assessed the adjusted effects of socio-demographic variables on cigarette smoking, waterpipe use, and on dual use. For each outcome variable, a time-adjusted and a time-unadjusted logistic models were conducted. RESULTS: Over the last decade, the prevalence estimates of current cigarette-only smoking slightly decreased. The prevalence estimates of current waterpipe-only use exceeded those for cigarette-only after 2007 and showed a steady overall increase. Current dual use showed a continuous rise especially after 2009. Gradual increase in cigarette smoking (4.1%, in 2007, and 5.7% in 2017) and in waterpipe use (2.5% to 6.4%) were detected. Education showed an inverse relationship with cigarette and waterpipe smoking. Household wealth demonstrated a positive association with cigarette and waterpipe smoking. CONCLUSIONS: Tobacco use epidemic is expanding its roots among pregnant women in Jordan through not only waterpipe use but also dual cigarette-waterpipe smoking. Maternal and child services should consider tobacco counseling and cessation.

The Mexico SimSmoke tobacco control policy model: Development of a simulation model of daily and nondaily cigarette smoking.

BACKGROUND: Nondaily smoking has been on the rise, especially in Mexico. While Mexico has strengthened its tobacco control policies, their effects on nondaily smokers have gone largely unexamined. We developed a simulation model to estimate the impact of tobacco control policies on daily and nondaily smoking in Mexico. METHODS: A previously validated Mexico SimSmoke model that estimated overall trends in smoking prevalence from 2002 through 2013 was extended to 2018 and adapted to distinguish daily and nondaily smoking prevalence. The model was then validated using data from Mexican surveys through 2016. To gauge the potential effects of policies, we compared the trends in smoking under current policies with trends from policies kept at their 2002 levels. RESULTS: Between 2002 and 2016, Mexico SimSmoke underestimated the reduction in male and female daily smoking rates. For nondaily smoking, SimSmoke predicted a decline among both males and females, while survey rates showed increasing rates in both genders, primarily among ages 15-44. Of the total reduction in smoking rates predicted by the model by 2018, tax policies account for more than 55%, followed by health warnings, cessation treatment, smoke-free air laws, and tobacco control spending. CONCLUSIONS: Although Mexico SimSmoke did not successfully explain trends in daily and nondaily smoking, it helps to identify gaps in surveillance and policy evaluation for nondaily smokers. Future research should consider appropriate measures of nondaily smoking prevalence, trajectories between daily and nondaily smoking, and the separate impact of tobacco control policies on each group.

When people do not 'Zol': Reduced emergency centre attendance of patients with chronic obstructive pulmonary disease during coronavirus disease 2019 lockdown with the accompanying tobacco sales ban in South Africa.

The coronavirus disease 2019 (COVID-19) pandemic has spread throughout the world, with devastating effects of the virus as well as the repercussions of the resulting 'lockdowns'. South Africa went into a national lockdown in March 2020 to mitigate the impact of the virus. This included a ban on the sales of tobacco and electronic cigarette products. The ban has been a highly contentious issue in South Africa, discussed worldwide, which has drawn many criticisms. The prevalence rate of smoking in South Africa was around 21.5%, with the Western Cape province having a prevalence rate of 39%. We compared the number of chronic obstructive pulmonary disease (COPD) presentations at a large regional referral hospital in the Western Cape province from January to August 2019 with the same period in 2020. Electronic emergency centre data showed a reduction of 69.28% in COPD presentations. To control for some confounders for the same period, we also reviewed patients presenting with urinary tract infections, which showed only a 30.60% reduction. This notable reduction in COPD presentations reduced service pressure of emergency centre and most likely benefitted patients' health. Further research and policies are needed to ensure ongoing reduction in the prevalence of smoking.

An adapted smoking-cessation intervention for Turkish-speaking migrants in Switzerland: Predictors of smoking outcomes at one-year follow-up.

BACKGROUND: Migrant populations usually report higher smoking rates. Among those migrant populations, Turkish- and Kurdish-speaking migrants are often overrepresented. Providing equal access to health services is one of the major challenges of our time. The need for adapted smoking-cessation treatments for Turkish-speaking populations to achieve equity in health led, in 2006, to the development and implementation of the Tiryaki-Kukla smoking-cessation program. The aims of the current study were to evaluate one-year quit rates for smoking-cessation courses held from 2006-2018 and investigate whether certain characteristics predict long-term smoking cessation or reduction. METHODS: Program evaluation included a pre/post questionnaire (session 1/ 3 months after the quit day) and a follow-up telephone call twelve months after the quit day. To elucidate factors associated with long-term smoking cessation and reduction, Cox regression analysis and Weighted Generalized Equation Models were used. RESULTS: Of the 478 who participated in smoking-cessation courses, 45.4% declared themselves non-smokers at one-year follow-up. This quit rate is higher than that achieved during the preliminary evaluation of the program involving 61 participants (37.7%). Predictors of long-term smoking cessation were course length (eight vs. six sessions) (95% CI = 1.04-1.36, p = .01), adherence to the course (95% CI = 0.98-0.99, p<0.01), use of pharmacotherapy or nicotine replacement therapy products (95% CI = 0.74-0.98, p = .02), and time passed in the morning until the first cigarette is smoked (95% CI5min = 1.17-1.77, p<0.001; 95% CI30min = 1.09-1.65, p<0.01). Predictors of change in cigarettes smoked per day among smokers were-the time passed until the first cigarette in the morning (5min p < .001; 30min p < .001; 60min p < .01)-, gender (p < .001), and level of motivation to quit at baseline (p = .04). CONCLUSIONS: Our findings are consistent with existing evidence supporting adapted smoking cessation interventions to reduce health inequity in migrant populations. However, achieving harm reduction in smokers with higher dependence scores remains challenging.

Serious Mental Illness and Smoking Cessation Treatment Utilization: the Role of Healthcare Providers.

Healthcare provider barriers to cessation resources may be undercutting quit rates for smokers with serious mental illness (SMI). The study aim was to examine how providers influence cessation treatment utilization among smokers with SMI. Data were taken from a trial conducted among smokers in Minnesota Health Care Programs. The sample was split into groups of participants with SMI (n = 939) and without SMI (n = 1382). Analyses assessed whether the association between SMI and treatment utilization was mediated by healthcare provider-delivered treatment advice and healthcare provider bias. Results revealed higher rates of treatment utilization among smokers with SMI than those without SMI (45.9% vs 31.7%, p < 0.001); treatment advice and provider bias did not mediate this association. Subsequent individual regression analyses revealed positive associations between treatment advice and treatment utilization (ß 0.21-0.25, p < 0.05), independent of SMI status. Strategies to increase low-income smokers' contacts with providers may reduce treatment utilization barriers among these smokers.

E-Cigarette Use and Adult Cigarette Smoking Cessation: A Meta-Analysis.

Objectives. To determine the association between e-cigarette use and smoking cessation.Methods. We searched PubMed, Web of Science Core Collection, and EMBASE and computed the association of e-cigarette use with quitting cigarettes using random effects meta-analyses.Results. We identified 64 papers (55 observational studies and 9 randomized clinical trials [RCTs]). In observational studies of all adult smokers (odds ratio [OR] = 0.947; 95% confidence interval [CI] = 0.772, 1.160) and smokers motivated to quit smoking (OR = 0.851; 95% CI = 0.684, 1.057), e-cigarette consumer product use was not associated with quitting. Daily e-cigarette use was associated with more quitting (OR = 1.529; 95% CI = 1.158, 2.019) and less-than-daily use was associated with less quitting (OR = 0.514; 95% CI = 0.402, 0.665). The RCTs that compared quitting among smokers who were provided e-cigarettes to smokers with conventional therapy found e-cigarette use was associated with more quitting (relative risk = 1.555; 95% CI = 1.173, 2.061).Conclusions. As consumer products, in observational studies, e-cigarettes were not associated with increased smoking cessation in the adult population. In RCTs, provision of free e-cigarettes as a therapeutic intervention was associated with increased smoking cessation.Public Health Implications. E-cigarettes should not be approved as consumer products but may warrant consideration as a prescription therapy.

Imaginal Retraining Reduces Cigarette Smoking: A Randomized Controlled Study.

OBJECTIVES: Smoking is a highly prevalent addictive behavior with severe and life-shortening health consequences. This is the first study to evaluate the efficacy of a newly developed imaginal variant of approach bias modification (ABM) (i.e., imaginal retraining) for the reduction of craving for tobacco and actual smoking behavior. METHODS: We randomized 345 smokers to imaginal retraining (self-help manual) or a control group (either active control or wait-list control). Assessments were carried out online. The treatment interval was 6 weeks. Craving for tobacco represented the primary outcome. The study was registered as DRKS00016860. RESULTS: Retention was 79.7% with no difference between groups. The intention-to-treat (ITT) analyses were significant for the primary outcome (Visual Analogue Scale on craving for tobacco) as well as subjective reduction of smoking (45.5 vs. 26.4%) in favor of imaginal retraining. In the treatment group, 47.6% performed the exercises at least once. This subgroup (per-protocol [PP] sample) showed a significant reduction in tobacco dependency as measured with the Cigarette Dependence Scale (short and long forms) and the Fagerström Test for Nicotine Dependence relative to controls. Number of daily cigarettes declined to a greater extent in imaginal retraining in the PP but not ITT analysis. A small dose-effect relationship emerged between craving and frequency of performance of the technique. CONCLUSION: When used regularly, imaginal retraining may reduce craving for tobacco and actual smoking behavior in a subgroup of smokers. In view of the large subgroup that did not read the manual or did not perform the exercises, alternative ways of conveying the imaginal retraining technique should be sought (e.g., demonstration via video clips). To conclude, imaginal retraining may represent a simple low-threshold technique to reduce smoking and assist current evidence-based treatment programs targeted at abstinence. It needs to be tested whether its mechanism of action deviates from standard ABM.

Clinician Training in the Adaptation of a Comprehensive Tobacco-Free Workplace Program in Agencies Serving the Homeless and Vulnerably Housed.

Tobacco use is exceedingly high among those who are homeless or at risk of homelessness but not commonly addressed by clinicians. Taking Texas Tobacco Free (TTTF) is a tobacco control program that addresses known clinician barriers to intervention (e.g., low training receipt, limited resources). Here, we examine the process and outcomes of TTTF's adaptation within four agencies that provide housing or other services to individuals who are homeless or vulnerably housed. Pre- and post-implementation data were collected from clinicians (N = 68) to assess changes in training receipt, knowledge, and intervention behaviors, relative to program goals. Results indicated significant gains in clinicians' receipt of training in 9 (of 9) target areas (p's ≤ 0.0042) and a 53% knowledge gain (p < 0.0001). From pre- to post-implementation, there were mean increases in the use of the 5As (ask, advise, assess, assist, and arrange) and other evidence-based interventions for tobacco cessation, with significant gains seen in assisting residents/clients to quit, arranging follow-ups, and providing or referring for non-nicotine medications (p's ≤ 0.0491). All program goals, except gains related to advising smokers to quit and the use of specific interventions (behavioral counseling), were met. Overall, TTTF improved clinicians' capacity to address tobacco use among homeless and vulnerably housed individuals and can serve as a model for tobacco control efforts in similar agencies.

Healthy Lifestyle for Prevention of Premature Death Among Users and Nonusers of Common Preventive Medications: A Prospective Study in 2 US Cohorts.

Background It remains unknown whether individuals who regularly use preventive medications receive the same benefit from healthy lifestyle as those who do not use medications. We aimed to examine the associations of healthy lifestyle with mortality according to use of major preventive medications, including aspirin, antihypertensives, and lipid-lowering medications. Methods and Results Among 79 043 women in the Nurses' Health Study (1988-2014) and 39 544 men in the Health Professionals Follow-up Study (1986-2014), we defined a healthy lifestyle score based on body mass index, smoking, physical activity, diet, and alcohol intake. We estimated multivariable hazard ratios (HRs) and population-attributable risks of death from any cause, cardiovascular disease, cancer, and other causes in relation to healthy lifestyle according to medication use. We documented 35 195 deaths. A similar association of healthy lifestyle score with lower all-cause mortality was observed among medication users (HR, 0.82 per unit increment; 95% CI, 0.81-0.82) and nonusers (HR, 0.81; 95% CI, 0.79-0.83) (P interaction=0.54). The fraction of premature deaths that might be prevented by adherence to the 5 healthy lifestyle factors among medication users and nonusers was 38% (95% CI, 32%-42%) and 40% (95% CI, 29%-50%) for all-cause mortality, 37% (95% CI, 27%-46%) and 45% (95% CI, 18%-66%) for cardiovascular disease mortality, and 38% (95% CI, 28%-46%) and 33% (95% CI, 14%-49%) for cancer mortality, respectively. Conclusions Adherence to a healthy lifestyle confers substantial benefit for prevention of premature death among both regular users and nonusers of preventive medications. Adherence to a healthy lifestyle remains important even among individuals regularly using preventive medications.

Type of e-liquid vaped, poly-nicotine use and nicotine dependence symptoms in young adult e-cigarette users: a descriptive study.

BACKGROUND: Data are lacking on type of e-liquid vaped among e-cigarette users. Further, few studies assess all sources of nicotine used by e-cigarette users to assess whether poly-nicotine use relates to nicotine dependence (ND). The objectives were to describe young adult e-cigarette users by: (i) type of e-liquid vaped; (ii) poly-nicotine use; (iii) ND symptoms; and (iv) attempts to quit conventional cigarettes. METHODS: Data were available in cycle 23 of a longitudinal investigation on the natural course of cigarette smoking and ND. A total of 775 young adults (44% male; mean (SD) age 30.5(1.0)) completed mailed self-report questionnaires in 2017-20. RESULTS: Of 775 participants, 149 (19.2%) reported past-year e-cigarette use. Overall, 55.0% of e-cigarette users had used cannabis-containing e-liquid (31.5% vaped cannabis e-liquid exclusively); 50.4% used nicotine-containing e-liquid (23.5% vaped nicotine e-liquid exclusively); and 39.9% used e-liquid without nicotine (8.7% vaped e-liquid without nicotine exclusively). Most e-cigarette users (82.6%) used other nicotine-containing products including conventional cigarettes (72.5%); 60.8% reported ND symptoms, rising to 79.4% among those who vaped nicotine-containing e-liquid. Finally, 29.0% tried to quit conventional cigarettes using e-cigarettes in the past-year, but only 16.7% found them helpful. CONCLUSIONS: E-cigarettes now appear to appeal to a broader market than smokers who want to quit. More than half of young adult e-cigarette users vaped cannabis-containing e-liquid in the past year while only one-quarter had used e-cigarettes to assist with cessation. Most e-cigarette users used multiple nicotine-containing substances (including combustible cigarettes) which were associated with reports of ND symptoms.

Change in smoking intentions of university students in New Zealand following simulated cigarette price increases: results of the first of two cross-sectional surveys.

AIM: Increasing cigarette prices is one of the most effective strategies to reduce smoking. This study examined changes in smoking intentions of university students following simulated price increases. METHOD: Data came from a 2018 cross-sectional survey of university students. The sample comprised 187 current smokers (47% aged <21 years, 53% ≥21 years; 60% male, 40% female; 10% Maori, 90% non-Maori and 18% current vapers). Students were asked how their smoking behaviour would change if the price of a packet of their regular cigarettes or RYO tobacco was increased by $5.00, $10.00, $15.00 or >$15.00. RESULTS: The proportion of students who would smoke the same amount declined substantially, while students who would switch to e-cigarettes increased by large margins at price increases of $5.00, $10.00 and $15.00. Quit intentions increased at all price levels, but were stronger among younger students and females. Males were almost twice as likely to switch to e-cigarettes as females. Overall, more students would quit than switch to e-cigarettes. CONCLUSION: Results show that increasing cigarette prices by ≥$15.00 per packet could lead to significant reductions in smoking among university students. Follow-up data is required to assess the differential effects of price increases on vaping.

The worldwide burden of smoking-related oral cancer deaths.

OBJECTIVES: Although it is now established that cigarette smoking enhances the risk of oral malignancies, less is known on this epidemiologic interplay. Therefore, this brief report aims to provide an update on the worldwide burden of smoking-related deaths for lip and oral cavity cancers. MATERIAL AND METHODS: We performed an electronic search in Global Health Data Exchange registry using the keywords "lip and oral cavity cancer" and "smoking," combined with "deaths," "year," and "location." RESULTS: Global mortality for lip and oral cavity cancers has considerably grown during the past three decades, exhibiting a 1.40-fold increase. Although up to one third (i.e.,30.5%) of worldwide deaths for these malignancies are still attributable to cigarette smoking, smoking-related mortality for oral malignancies has decreased during the past three decades. The impact of cigarette smoking on these deaths is lower (i.e.,18.7%, gradually decreasing) in Africa, whereby the burden is higher in Europe (i.e.,43.7%) and Western Pacific (40.9%, gradually escalating). CONCLUSIONS: Despite recent policies of smoking dissuasion may have contributed to mitigating the negative impact of smoking on oral cancers, additional healthcare interventions shall be planned to reduce the still high mortality, especially in Western Pacific.