UNASSIGNED: Accelerating smoking cessation, particularly among young adults, is a national priority for decreasing tobacco-related disease. Healthcare providers play a critical role in delivering tobacco treatment interventions to this population. This study examined associations of demographic and tobacco use characteristics with young adults\' self-reported past-year clinical encounters to identify opportunities to facilitate cessation.
UNASSIGNED: We conducted cross-sectional, secondary analyses on a sample of 831 young adults aged 18-34 participating in the first wave of the National Young Adult Health Survey (NYAHS 2018-2019). Demographic and tobacco use characteristics were participants\' sex, age, race, current cigarette use, and current other tobacco use. Clinical encounter outcomes were past-year self-report of (1) seeing a clinician, (2) being asked about tobacco use, and among those currently smoking, (3) being advised to quit smoking.
UNASSIGNED: After adjustment for covariates, women (vs. men) had 2.16 times greater odds of reporting seeing a clinician, while Non-White (vs. White) young adults and those currently (vs. never) smoking had 69% and 47% lower odds. Women and those currently smoking had 2.98 and 2.66 times greater odds, respectively, of being asked about tobacco use. Among those who currently smoked, being not confident (vs. confident) about quitting smoking was associated with 69% lower odds of being advised to quit; those who reported moderate (vs. low) nicotine dependence had 3.11 times higher odds of being advised to quit.
UNASSIGNED: Sex, racial, and smoking status differences in young adults\' clinical encounter outcomes suggest multiple opportunities for future smoking prevention and cessation intervention efforts.

BACKGROUND: The net benefit of aspirin cessation in older adults remains uncertain. This study aimed to use observational data to emulate a randomized trial of aspirin cessation versus continuation in older adults without cardiovascular disease (CVD).
METHODS: Post hoc analysis using a target trial emulation framework applied to the immediate post-trial period (2017-2021) of a study of low-dose aspirin initiation in adults aged ≥ 70 years (ASPREE; NCT01038583). Participants from Australia and the USA were included if they were free of CVD at the start of the post-trial intervention period (time zero, T0) and had been taking open-label or randomized aspirin immediately before T0. The two groups in the target trial were as follows: aspirin cessation (participants who were taking randomized aspirin immediately before T0; assumed to have stopped at T0 as instructed) versus aspirin continuation (participants on open-label aspirin at T0 regardless of their randomized treatment; assumed to have continued at T0). The outcomes after T0 were incident CVD, major adverse cardiovascular events (MACE), all-cause mortality, and major bleeding during 3, 6, and 12 months (short-term) and 48 months (long-term) follow-up. Hazard ratios (HRs) comparing aspirin cessation to continuation were estimated from propensity-score (PS) adjusted Cox proportional-hazards regression models.
RESULTS: We included 6103 CVD-free participants (cessation: 5427, continuation: 676). Over both short- and long-term follow-up, aspirin cessation versus continuation was not associated with elevated risk of CVD, MACE, and all-cause mortality (HRs, at 3 and 48 months respectively, were 1.23 and 0.73 for CVD, 1.11 and 0.84 for MACE, and 0.23 and 0.79 for all-cause mortality, p > 0.05), but cessation had a reduced risk of incident major bleeding events (HRs at 3 and 48 months, 0.16 and 0.63, p < 0.05). Similar findings were seen for all outcomes at 6 and 12 months, except for a lowered risk of all-cause mortality in the cessation group at 12 months.
CONCLUSIONS: Our findings suggest that deprescribing prophylactic aspirin might be safe in healthy older adults with no known CVD.

UNASSIGNED: Early smoking initiation has been associated with a higher risk of developing long-term smoking habit. There is a growing global consensus that demands raising the minimum legal age (MLA) for smoking as an approach to address this problem. Singapore successfully raised the MLA from 18 to 21 years in 2021. This study aimed to evaluate the awareness and attitude of multi-ethnic Asian youth (aged 15-24) on raising MLA to 21 and passive smoking.
UNASSIGNED: A cross-sectional survey comprising of 23 items was circulated via a secure internet-based platform, FORMSG between September and November 2022. Data were analyzed for descriptive statistics. Categorical variables were compared for association with receptivity toward change in MLA using Chi-Squared test and multivariable logistic regression analysis using Rstudio. Post-hoc Bonferroni correction were further utilized for pairwise comparison.
UNASSIGNED: Majority (80.3%) of the 608 participants expressed their support for MLA 21 implementation. Participants\' age was a significant variable as those aged 15-17 years old (OR = 2.1, 95%CI = 1.01-4.32, p = 0.048) showed a higher likelihood of supporting MLA implementation compared to those aged 21 and above. In addition, majority (89.8%) of them were also aware of the harmful effects of passive smoking. When it came to discouraging smoking among youth, family influence (64%) and school education (55.6%) emerged as the top strategies.
UNASSIGNED: Most of the youth express strong support for raising the MLA to 21, with over 80% in favor of such change, reflects a significant harmony among youth in favor of tobacco-free environment.

OBJECTIVE: The aim of this study was to compare past 12-month use of cigarette smoking cessation aids (e.g., Food and Drug Administration (FDA)-approved cessation products or e-cigarettes for smoking cessation) among people with substance use problems (PWSUPs) who currently smoke to people without substance use problems (SUPs) who currently smoke cigarettes in a nationally representative US sample.
METHODS: We used the Population Assessment of Tobacco and Health (PATH) Wave 6 Study [n = 30,516]. Our sample comprised adult (18+) established cigarette smokers (100+ lifetime-sticks with daily/non-daily use) [n = 5,895]. The independent variable was SUP status (no, moderate, and high). The dependent variables were past-year use of: nicotine replacement therapies (NRTs), cessation medications [i.e., varenicline or bupropion], or e-cigarettes [for cigarette cessation and reduction]. Weighted multivariable logistic regression models for each dependent variable examined the associations between SUP status and each cessation aid, adjusting for cigarette dependence, daily cigarette smoking, and demographic factors.
RESULTS: Among people who smoke, a higher proportion of respondents with high SUP severity used NRTs, cessation medications, and e-cigarettes for cigarette cessation, respectively (12.3%, 8.4%, 15.7%), compared to those with no/low SUP severity (9.8%, 6.0%, 8.9%). In the multivariable models, respondents with high SUPs had 63% (95% CI:1.16-2.29) higher odds of using e-cigarettes for cessation than those without SUPs. No significant differences were seen between high (vs. no/low SUPs) in the past-year use of NRTs and cessation medications.
CONCLUSIONS: Our findings indicate that cigarette smokers with high SUPs had higher odds of using e-cigarettes for cessation and reduction compared to smokers without SUPs.

OBJECTIVE: Describe how receiving tobacco education within the PharmD curriculum affects 1) students\' perceptions and knowledge of electronic nicotine delivery systems (ENDS) and 2) willingness to counsel on cessation.
METHODS: Eight institutions used a 29-item questionnaire to assess P1-P4 students\' tobacco use, ENDS knowledge, cessation education, and perceptions in the fall of 2020. Students were divided into those who had received tobacco cessation education and those who had not.
RESULTS: 832 pharmacy students participated in the study with a 28% response rate. 56% of respondents were reported as receiving at least some tobacco education in the pharmacy curriculum. Quitting other forms of tobacco was the only perceived benefit of ENDS that was statistically different between groups. Tobacco education was associated with a greater likelihood of identifying localized harms of ENDS, including explosion/burns and mouth/throat irritation. Those with tobacco education were more likely to agree they received enough education to counsel on smoking cessation and were more likely to agree they are willing to counsel patients on quitting. Tobacco education was associated with an increased willingness to offer smoking cessation (OR 1.56; 95% CI 1.14-2.13) but not more willing to offer ENDS cessation (0.85; 0.58-1.24). Personal history of combustible cigarette use was associated with increased willingness to counsel on both smoking (2.45; 1.27-4.73) and ENDS (2.79; 1.38-5.64) cessation.
CONCLUSIONS: Tobacco education in the pharmacy curriculum was associated with an increased likelihood of recognizing localized harms of ENDS and willingness to offer smoking cessation counseling but did not increase willingness to offer ENDS cessation counseling.

BACKGROUND: Smokeless tobacco use remains prevalent in rural and medically underserved populations, leading to increased rates of tobacco-related cancers and chronic disease. While access to effective cessation programs is limited, text-based interventions may offer a delivery approach with broad reach. This two-armed randomized control trial (RCT) assessed the efficacy of #EnufSnuff.TXT, a text-based smokeless tobacco cessation intervention, in rural and medically underserved communities.
METHODS: We conducted a two-arm RCT assessing #EnufSnuff.TXT, a text-based scheduled reduction intervention paired with text-based cessation support messages compared with the modified Enough Snuff intervention comprised of a cessation education booklet and bi-weekly motivational text messages. We recruited participants via social media and surveyed participants at three and six months post-randomization. The primary outcome was self-reported seven-day point prevalence abstinence at six months.
RESULTS: We recruited and randomized 532 participants. At three months post randomization, the quit rate was significantly higher in #EnufSnuff.TXT arm compared to the Enough Snuff arm for intent-to-treat (ITT) cases (29.2% vs 19.0%, OR=1.75, p=0.0066). The quit rate at six months post randomization remained higher in #EnufSNuff.TXT compared to Enough Snuff for ITT cases (23.1% vs 20.9%, OR=1.14, p=0.5384), although no longer significantly different.
CONCLUSIONS: This is the first large-scale text-based cessation clinical trial for individuals in underserved areas who use smokeless tobacco. The #EnufSnuff.TXT intervention performed better in the short term, however both interventions yielded similar quit-rates at 6-months post randomization. Future research should focus on improving long-term abstinence in the #EnufSNuff.TXT intervention.
CONCLUSIONS: Text-based cessation approaches have the potential to increase access to cessation interventions in rural and medically underserved areas and reduce tobacco-related chronic disease morbidity and mortality. Our study shows short-term efficacy from the first ever randomized controlled trial of a smokeless tobacco cessation intervention, #EnufSnuff.TXT, for rural and medically underserved residents in the United States. Our #EnufSnuff.TXT Intervention offers a scalable solution to reach and provide much needed access to cessation interventions in medically underserved, rural communities in the United States. This work provides the foundation for further inquiry on augmented text-based approaches to increase cessation in this at-risk group.

BACKGROUND: This study investigated the risks for all-cause death and death from cancer or cardiovascular diseases due to smoking status and behavior, focusing on differences in smoking duration and amount stratified by sex.
METHODS: The integrated Korean Genome and Epidemiology Study provided data for 209770 individuals who were classified as never, former, or current smokers, based on their current smoking status. Pack-years were computed using daily average smoking amount and total smoking duration, and were categorized into quantiles separately for men and women. Based on the number of deaths in 2018, hazard ratios (HRs) were estimated for all-cause mortality, as well as for death caused by all cancers, lung cancer, and cardiovascular diseases according to pack-years adjusted for age, household income, marital status, body mass index, physical activity, and alcohol consumption.
RESULTS: A significant increase in the risk of all-cause mortality was observed for current smokers (men HR=1.90; 95% CI: 1.69-2.14; women HR=2.25; 95% CI: 1.68-2.99) and former smokers (men HR=1.31; 95% CI: 1.17-1.47; women HR=2.35; 95% CI: 1.63-3.39) compared with that for those who had never smoked. Among men, HR for death from lung cancer was 3.13 (95% CI: 2.06-4.75) in former smokers and tended to increase with each pack-year quantile (range HR: 5.72-17.11). Among women, the HR was estimated to be 17.20 (95% CI: 6.22-47.57) only for >3rd quantile.
CONCLUSIONS: Smoking increases the risks of all-cause death. Considering the persistent risks post-smoking cessation, it is vital to focus on preventing smoking initiation and providing proactive support for successful smoking cessation and maintenance of a smoke-free lifestyle.

BACKGROUND: Little is known about the prevalence and predictors of adolescents\' intention to quit or reduce use of e-cigarettes and/or cannabis.
METHODS: Frequencies of intention to change (quit, reduce) e-cigarettes and/or cannabis use were examined among 23,915 surveyed middle and high school students with sole and co-use. Predictors of intention to change were identified via LASSO/multilevel logistic regression.
RESULTS: Among those with sole e-cigarette use (n = 543), 40.9 % intended to quit and 24.1 % intended to reduce; non-daily e-cigarette use predicted intention to quit and reduce e-cigarettes (p\'s < 0.03). Among those with sole cannabis use (n = 546), 10.6 % intended to quit and 25.1 % intended to reduce; absence of cannabis cravings predicted intention to reduce cannabis use (p < 0.01). Among those with co-use (n = 816), 26.2 % intended to either quit or reduce (quit/reduce) both substances, 27.5 % intended to quit/reduce e-cigarettes only, and 6.9 % intended to quit/reduce cannabis only. No predictors emerged for intention to change e-cigarette use among those with co-use (p\'s > 0.09), but younger age, lack of poly-tobacco use, and lack of cannabis craving predicted intention to quit/reduce cannabis use (p\'s < 0.04).
CONCLUSIONS: More than half of adolescents with past-month e-cigarette use, regardless of concurrent cannabis use, expressed interest in changing their use. However, only heaviness of e-cigarette use emerged as a predictor of intention to change suggesting. While fewer students expressed interest in changing their cannabis use, cannabis cravings and poly-tobacco use predicted intent to change. Overall, findings emphasize the need to tailor interventions towards adolescents engaging in more problematic substance use patterns.

OBJECTIVE: To pilot test QuitGuide for Natives, a culturally aligned version of the National Cancer Institute\'s QuitGuide smartphone app for smoking cessation.
METHODS: This randomised controlled trial was conducted remotely during 2022-2023. American Indian adults who smoked and resided in the Midwest (n=115) were randomised to QuitGuide for Natives or the general audience QuitGuide smartphone-based intervention. Group differences in feasibility (times the app was initiated), usability, acceptability (\'How likely would you be to recommend the app to a friend?\'), fit of app with culture and preliminary efficacy (24-hour quit attempts, cotinine-confirmed self-reported 7-day abstinence) outcomes were examined.
RESULTS: QuitGuide for Natives versus the general audience QuitGuide did not differ in the number of times the app was opened (adjusted incidence rate ratio 0.94 (95% CI 0.63 to 1.40); p=0.743) nor in usability score (adjusted mean difference (aMD) 0.73 (95% CI: -5.00 to 6.46); p=0.801) or likeliness of recommending the app to a friend (aMD 0.62 (95% CI -0.02 to 1.27); p=0.058). Differences were observed for all cultural fit outcomes such as \'The app fits my American Indian culture (aMD 0.75 (95% CI 0.35 to 1.16); p<0.001). QuitGuide for Natives versus the general audience QuitGuide resulted in an average of 6.6 vs 5.1 24-hour quit attempts (p=0.349) and cotinine-confirmed 7-day abstinence was achieved by 6.9% vs 3.5% (p=0.679).
CONCLUSIONS: Acceptability, cultural fit and preliminary efficacy findings are encouraging and will inform future, larger-scale evaluation of culturally aligned digital smoking cessation resources for American Indian adults.

BACKGROUND: Smoking is a well-known risk factor for cardiovascular diseases, including myocardial infarction (MI) and ischemic stroke (IS). While the relationship between smoking and the risk of cardiovascular diseases is established, the impact of changing smoking habits post-IS on the risk of subsequent MI remains unclear. This study aims to elucidate the effects of alterations in smoking behavior following an IS diagnosis on the likelihood of experiencing an MI.
METHODS: Utilizing data from the Korean National Health Insurance Services Database, this nationwide population-based cohort study included 199,051 participants diagnosed with IS between January 2010 and December 2016. Smoking status was categorized based on changes in smoking habits before and after IS diagnosis. The association between changes in smoking behavior and the risk of subsequent MI was analyzed using multivariable Cox proportional hazard regression models.
RESULTS: During a median follow-up of 4.17 person-years, a total of 5,734 (2.88%) patients were diagnosed with MI after IS. Smoking quitters (2.93%) or former smokers (2.47%) have a similar or lower rate of MI than the average, even if they have smoked cigarettes, while sustained smokers (3.46%) or new smokers (3.81%) have much higher rates of MI. Among sustained and new smokers, the risk of incident MI was significantly higher than never smokers (new smoker adjusted HR [aHR]: 1.496, 95% CI: 1.262-1.774; sustained smoker aHR: 1.494, 95% CI: 1.361-1.641). Also, among the study participants, approximately two-thirds continued smoking after their IS diagnosis.
CONCLUSIONS: Changing smoking habits after an IS diagnosis significantly influences the risk of subsequent MI. Specifically, continuing or starting to smoke after an IS diagnosis is associated with a higher risk of MI. These results underscore the importance of targeted smoking cessation interventions for stroke patients to reduce the risk of subsequent MI.