Tobacco Use Insights最新文献

Introduction: E-cigarettes have been shown to be effective for tobacco smoking cessation. Predicting those who are most likely to achieve smoking abstinence after receiving an e-cigarette based smoking cessation intervention could help to target interventions more efficiently.

Methods: A secondary analysis of baseline characteristics of 505 people who received an emergency department based smoking cessation intervention incorporating brief advice, provision of an e-cigarette starter kit and referral to stop smoking services. Gender, ethnicity, age, employment status, deprivation, partner smoking status, cigarettes per day, motivation to quit, cigarette dependence and previous e-cigarette use were assessed as predictors of abstinence. Self-reported smoking status was collected 6 months after intervention delivery.

Results: At 6 months 169/505 (33%) of those who received the intervention self-reported abstinence. The groups that were more likely to report having quit were females (37.4% of females vs 31.0% of males), older people (41.1% of over 50s vs 33.3% of under 35s), lighter smokers (36.4% of those who smoked less than 10 cigarettes per day vs 30.7% for those who smoked over 20) and more motivated quitters (35.6% for those with high motivation vs 29.2% for those with low motivation). However, in multiple logistic regression, when adjusting for the other factors, no factors significantly predicted smoking abstinence. Degree of nicotine dependence was very similar between those who quit and those who did not.

Conclusion: The study found no baseline factors that could predict successful smoking cessation with e-cigarettes. Consequently, this study does not support the use of a targeted e-cigarette-based smoking cessation intervention, suggesting the adoption of a more universal approach.

Background: Smoking cessation is linked to improved mental health that encompasses the overall well-being and psychological functioning of an individual.

Objective: Examine relationships between smoking, mental health, and social connectedness among adults in Maryland, US in 2020.

Methodology: This cross-sectional study used data from the Maryland 2020 Behavioral Risk Factor Surveillance System Survey of adults during the onset of COVID-19. Primary outcomes measured include demographics, depression, and number of not good mental health days among individuals with current and former smoking statuses compared to those who have never smoked.

Results: Compared to those who never smoked, individuals who currently smoked had an increased relative risk of reporting 14 or more days of not good mental health (RRR = 1.63, 95% CI: 1.35-1.97, P < .001) and a history of depression (RRR = 1.99, 95% CI: 1.69-2.35, P < .001). Individuals with former smoking status also showed elevated risk, with RRR = 1.24 (95% CI: 1.06-1.45, P = .006) for 14 or more days of not good mental health and RRR = 1.46 (95% CI: 1.28-1.66, P < .001) for a history of depression. Widowed, separated, or divorced; unemployed or unable to work; without a high school diploma; or recent physical exam were inclined to have a current or former smoking status.

Conclusion: We identify critical subpopulations vulnerable to life-long smoking behaviors amid the COVID-19 pandemic including adults under 35 years old, and those suffering from depression, a lack of social connectedness due to unemployment, changes in marital status, and outdated physical exams. The US Surgeon General's 2023 Advisory on the epidemic of loneliness and the 2021 Youth Mental Health Report emphasize the mental health crises among the young in which these findings serve as a compelling call to action for innovating targeted public health interventions.

Background: Smoking status is known to be an independent and significant predictor of health outcomes related to aging and plays a crucial role in overall mortality rates. This cohort study investigated the relationship between smoking status and survival outcomes over follow-up periods of 9 and 21 years. Methods: The sample consisted of 3526 participants with a mean age of 64 ± 12 years, 44.1% of whom were male. The median follow-up duration was 6315 days, with an interquartile range of 3441 to 7727 days. Smoking status [i.e., Brinkmann index (BI)] was calculated by multiplying the number of years smoked by the number of cigarettes smoked daily. Based on this, participants were categorized into non-smokers, former smokers, and current smokers. The data were analyzed using Cox regression, employing age as the time variable and accounting for various risk factors. Results: A total of 1111 participants (49.2%) were confirmed to have died. Among these, 564 were male (36.2% of all male participants), and 547 were female (27.8% of all female participants). The multivariate-adjusted odds ratio (95% confidence interval) for all-cause mortality compared with never-smokers was 1.51 (1.17-1.96) for former smokers with BI > 800, 1.61 (1.20-2.17) for current smokers with BI of 400-799 and 1.62 (95% CI, 1.24-2.10) with BI of ≥800 (P for trend <0.001). Participants who died within three years of follow-up were excluded to avoid the possibility of reverse causation, but the results were essentially unchanged. Conclusion: We found that the BI is a valid predictor of future mortality risk and that BI 800 for former smokers and BI 400 for current smokers were useful cutoff values. Efforts to control smoking should focus not only on current smokers but also on former smokers to reduce the risk of premature death associated with smoking.

Objectives: Extended-stay hotels (ESH) are a reliable and accessible housing option for low-income, minoritized renters, who are disproportionately exposed to secondhand and thirdhand cigarette smoke (SHS and THS). This study explores ESH residents' perceptions of their SHS and THS exposure, harms related to this exposure, their willingness to mitigate these harms, and the contextual factors associated with smoking in hotels.

Methods: Eighty ESH renters from the metropolitan Atlanta region were recruited to complete a survey about the perceived harm and persistence of tobacco smoke, exposure experiences, knowledge, attitudes, self-efficacy, and intentions to protect oneself. Eleven of these participants completed semi-structured interviews, during which they discussed their daily SHS and THS exposure at their ESHs in greater detail.

Results: Of the survey respondents, 62% reported being bothered by their level of smoke exposure, and 77% said they believed smoke particulates remained in their rooms even after housekeeping cleaned them. Approximately half of survey respondents had attempted to stop smoking in the 3 months prior to the study, and 29 of these individuals were still on their smoking cessation journeys. Most interview participants agreed that SHS and THS exposure exacerbated their existing chronic illnesses and could possibly result in death in the long term. Participants agreed with the benefits of smoke-free policies, but also acknowledged other priorities for ESH living-affordability, safety, and proximity to the workplace-that overshadowed their desires for such policies.

Conclusion: Overall, study findings suggest that ESH renters understand the dangers of smoking and SHS/THS and want to decrease their exposure, but the persistence of cultural and contextual factors prevents them from fully engaging with 100% smoke-free policies.

Introduction: Hypnosis-based apps geared toward smoking cessation are among the most downloaded by individuals wanting to reduce or stop smoking. However, to date, there are few evaluations regarding the use or efficacy of hypnosis apps for smoking cessation. Finito is an empirically-based mHealth app developed by Mindset Health designed to provide users with a three-week hypnotherapy program to quit smoking. This study aimed to examine demographic and clinical characteristics of Finito app users and conduct a preliminary analysis of survey data from participants of the program. Method: Finito app users were asked to voluntarily complete an online survey regarding their experience with the program, current smoking habits, app usability, relevant improvement, and demographic information. Retrospective data analyses were conducted to provide descriptive and inferential findings from the responses. Results: A total of 120 individuals responded to the survey. Respondents originated from over five different countries and approximately 72.5% reported completing the full Finito program. Approximately 58.3% of participants reported that they accomplished their goal with Finito with 50.8% of all respondents reporting that they quit smoking and an additional 25.8% reporting that their smoking was reduced. Among a variety of secondary outcomes, saving money was the most frequently reported secondary benefit with 46.7% of respondents endorsing that item. Conclusion: Our preliminary survey results suggest that Finito may be a useful, pleasant, and cost-effective tool in a patient's journey to quit smoking. The majority of app users reported that they achieved their goal with Finito and completion of the program was associated with goal achievement. The Finito app may be effective in the dissemination and delivery of a helpful hypnotherapy intervention across a diverse population.

Introduction: E-cigarettes and heated tobacco products (HTPs) are gaining worldwide significance. The tobacco industry is promoting these products as healthier alternatives to conventional cigarettes.

Methods: In this four-arm crossover study, we examined the acute effects of cigarette smoking, vaping IQOS, or vaping e-cigarettes (with or without nicotine) on hemodynamics, arterial stiffness, and small airways. Twenty subjects (10 male, 10 female), all occasional smokers, completed each study arm. There was at least a 48 h washout period before each test day. Arterial stiffness and peripheral and central hemodynamics were assessed using Mobil-O-Graph™ (I.E.M., Germany), whereas tremoFlo® c-100 (Thoracic Medical Systems Inc) was used to evaluate the effects on the small airways and resistance.

Results: Cigarettes, IQOS, e-cigarettes containing nicotine, and nicotine-free e-cigarettes had similar effects on peripheral and central hemodynamics as well as on arterial stiffness. We observed a significant increase in all parameters. However, only nicotine-containing products lead to increased bronchial obstruction, higher reactance, and a higher tidal volume.

Conclusion: Therefore, we concluded that cigarettes, IQOS, and e-cigarettes have similar effects on hemodynamics. No differences were observed between the nicotine-containing and nicotine-free e-cigarettes. All nicotine-containing products also influence small airways. These findings suggest that e-cigarettes and HTPs are not healthier alternatives than conventional cigarettes.

Objective: Adolescent tobacco and E-cigarette use have been rising globally in the past decade. Iraq's post-war conflict and economic crises posed psychosocial and mental health trauma, contributing to increased vulnerability to drug and substance use among adolescents. This study looks to assess the potential relationship between current tobacco and E-cigarette smoking and exposure to smoking at home and school among Iraqi adolescents attending schools. Methods: Data analysis for the 2019 Iraq Global Youth Tobacco Survey, a cross-sectional study completed by 2560 Iraqi adolescents aged 11 to 17 years old was conducted. The survey tool which includes demographic, tobacco use, knowledge and attitudes towards tobacco use questions is anonymous and self-administered using paper-based bubble sheets that are scannable. Current tobacco and E-cigarette use (defined as past 30-days) were the main outcomes. Univariate and multivariate logistic regression models were used to assess the relationship between the main outcomes and the following variables: participants' demographics, exposure to smoking, attitude and knowledge scores. Results: Current tobacco and E-cigarette smoking prevalence among Iraqi adolescents attending school were 14.9% (95% CI: 13.5%-16.4%) and 9.7% (95% CI: 8.6%-11.0%), respectively. Exposure to smoking at home was high among fathers (39.1%), mothers (13.9%), siblings smoke (23.9%), other individuals smoke (56.1%). The percentages of students who witnessed people smoking within school premises was 45.7% and observed teachers smoking in schools was 57.6%. The current use of tobacco smoking among Iraqi adolescents was significantly and positively associated with exposure to smoking by the father (AOR = 1.39; 95% CI: 1.05-1.85), mother (AOR = 1.84; 95% CI: 1.30-2.60), sibling (AOR = 3.50; 95% CI: 2.62-4.67), teacher (AOR = 1.48; 95% CI: 1.10-1.98), and people in school (AOR = 1.99; 95% CI: 1.57-2.53). Similarly, the current use of E-cigarettes was significantly associated with father smoking (AOR = 2.02; 95% CI: 1.29-3.16), sibling smoking (AOR = 3.09; 95% CI: 2.04-4.67), and people smoking in school (AOR2.02; 95% CI: 1.39-2.95). Conclusion: Stricter policies need to be enforced to ensure safer school environments that do not expose adolescents to smoking habits of teachers or other students.

Background: Ireland's Smoking Ban reduced health inequalities known to be associated with smoking but some groups may not have benefitted. Mental ill-health and smoking are known to be associated with health inequalities. Whether similar patterns exist for e-cigarette use is less clear, as few data exist. Objectives: To examine: (1) self-reported doctor-diagnosed mental ill-health in Irish 20-year-olds; (2) smoking, e-cigarette, and dual use in those with and without mental ill-health; and (3) protective and risk factors for smoking and e-cigarette use in these groups. Methods: We use cross-sectional data from 20 year-olds in Wave 4 of Growing Up in Ireland Child Cohort. They were asked to self-report mental ill-health which had been diagnosed by a clinician, and their smoking and e-cigarette use. All analyses were performed using SPSS v27. Results: 19.4% (n = 1008) of the total sample (n = 4729) reported a mental ill-health diagnosis. Comparing those with and without, those with mental ill-health had significantly higher prevalence of current smoking (47%, n = 419 vs 36%, n = 1361; OR 1.57, CI: 1.36, 1.82), e-cigarette use (17%, n = 152 vs 13%, n = 485; OR 1.40, CI:1.15, 1.70), and dual use (12%, n = 109 vs 9%, n = 328; OR 1.46, CI:1.16, 1.84). Risk factors for smoking and e-cigarette use were, earlier smoking initiation, peers or primary caregivers who smoked, being in paid employment, one-parent family background, and social media use. Being female was protective. Most risk factors were significantly higher in young adults with mental ill-health but, after adjusting for these variables, respondents with mental ill-health still have significantly higher adjusted higher odds of smoking (aOR 1.28, CI:1.05, 1.56). Conclusions: Inequalities in smoking and e-cigarette use in young adults with mental ill-health are evident 20 years after Ireland's National Smoking Ban. Despite extensive Tobacco Control interventions in the past 20 years, there is still need in Ireland for new targeted interventions to reduce health inequalities for left-behind young smokers with mental ill-health.

Introduction: The tobacco industry intends to ensure continuing marketing of tobacco products by influencing and interfering in tobacco control policies. This paper assessed trends of tobacco industry interference (TII), the level of implementation, and the government's response to enforcing Article 5.3 guidelines in India to safeguard tobacco control efforts from commercial and other vested interests of the tobacco industry.

Methods: We conducted a descriptive comparative analysis of four consecutive India TII Indexes (January 2018-December 2021) based on the seven key 5.3 recommendations and twenty indicators to capture (i) the Level of Industry Participation, (ii) Corporate Social Responsibility (CSR) Activities, (iii) Benefits to the Tobacco Industry, (iv) Forms of Unnecessary Interactions, (v) Transparency, (vi) Conflict of Interest, and (vii) Preventive Measures. The Southeast Asia Tobacco Control Alliance's (SEATCA) TII Index was used to undertake this assessment.

Results: The comparative analysis showed that the overall score of the India TII Indexes over the years decreased from 72 (2018) to 57 (2021). Improvements were shown over the years in adherence to Article 5.3 for limiting unnecessary interactions with the tobacco industry, avoiding conflicts of interest, and having preventive measures. However, major gaps were observed in restricting industry participation, regulating their so-called CSR, providing benefits to the industry in the form of incentives, exemptions, and maintaining transparency.

Conclusion: The study provides the status of implementing Article 5.3 and its guidelines in India. Given the gaps in the existing measures, India needs to comprehensively adopt Article 5.3 guidelinesin all states and union territories adopting whole-of-government approach. There is an urgent need to establish an observatory for periodic compilation of the TII indexes to monitor the tobacco industry and report violations at the national and sub-national levels.