Tobacco Use Insights最新文献

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.

Previous studies have found an association between maternal smoking and an increased risk of attention deficit hyperactivity disorder (ADHD) in offspring. However, the prevalence of maternal smoking, secondhand smoke (SHS) exposure during pregnancy, and ADHD in children within the Saudi Arabian context is not well-documented.

Objective: To explore the prevalence of maternal smoking and SHS exposure during pregnancy among mothers of children diagnosed with ADHD and investigate exposure to smoking as a predictor of ADHD subtypes.

Methods: A cross-sectional study was conducted from December 1, 2022, to February 28, 2023, using an online questionnaire. The study included 217 parents of children aged 4-17 years diagnosed with ADHD and without a family history of the disorder. Data on sociodemographic determinants, academic achievement, ADHD types, and maternal smoking habits during pregnancy were collected.

Results: Among the mothers surveyed, 6.4% reported smoking during pregnancy, while 41% were exposed to SHS. The study found a predominance of the combined subtype of ADHD among the children. Logistic regression analysis revealed that families with monthly income <10 000 SR were 2.6 times more likely to have a child with inattentive or hyperactive ADHD (P < 0.03). Male gender was associated with a 46% reduced likelihood of these subtypes (P < 0.03). SHS smoking and active exposure to smoking during pregnancy did not show any significant effect on ADHD.

Conclusion: The study found that child gender and family income were significantly associated with the distribution of ADHD subtypes, while maternal smoking and SHS exposure during pregnancy did not show a significant association. The high prevalence of SHS exposure emphasizes the need for increased public health awareness and interventions to promote smoke-free environments during pregnancy.

Background: Waterpipe tobacco smoking (WTS) is a popular mode of nicotine delivery among young people. We examined the trends and disparities in WTS from 2013 to 2021 among US adolescents and adults.

Methods: Data were from Wave 1 (initially conducted among 32 320 adults and 13 651 adolescents) to Wave 6 (2013-2021) of the Population Assessment of Tobacco and Health Study. We assessed the weighted prevalence of ever and current (past 30-day) WTS for adults and adolescents across waves stratified by demographics.

Results: From 2013-2021 among adolescents, the prevalence of ever and current WTS decreased by 86.5% (7.4% to 1.00%; p = 0.0364) and 97.1% (1.65% to 0.05%; p = 0.0012), respectively. Despite the decreasing trends among adolescents across all waves, females had a higher prevalence of ever and current WTS compared to males (p 's < 0.001 for all trends). Hispanics had the highest prevalence of ever WTS compared to other races/ethnicities (p 's < 0.001). Adolescents aged 15-17 had a higher (except Wave 6) prevalence of ever and current WTS than 12-14 years old (p 's < 0.001). For adults, the prevalence of ever WTS increased by 27.4% (16.39% to 20.92%; p = 0.0006), and current WTS decreased by 45.5% (2.19% to 1.24%; p = 0.0012). Young adults aged 18-24 experienced increasing trends in WTS and had the highest prevalence of ever and current WTS compared to other age groups (p 's < 0.001) across all waves.

Conclusions: Our study indicates a notable decrease in adolescent WTS prevalence from 2013 to 2021 but an increase of ever WTS among adults. Demographic differences underscore disparities in WTS, calling for tailored interventions.

Introduction: The FDA oversees regulatory aspects of all U.S. tobacco products. Understanding the impact of emerging health trends and incidents associated with various tobacco and nicotine products is vital for public health. This study utilizes the FDA's Tobacco Product Problem Reports (TPPRs) to characterize and track adverse health events (AHEs) associated with tobacco and nicotine products over time, considering the impact of EVALI and the COVID-19 pandemic.

Methods: FDA TPPRs from 2017-2022 provided information on AHEs related to various tobacco products. After data cleaning, 839 reports were categorized by two independent coders based on affected health category, frequency of AHEs reports, and proportion of AHEs per each health category. Additionally, variations in AHEs over time were assessed, considering major health events like EVALI and the COVID-19 pandemic.

Results: Among the 839 reports, electronic cigarettes (e-cigarettes) were the primary product of concern, comprising 90.6% (n = 760) of all reports, surpassing traditional cigarettes (5.1%; n = 43) and other products. Notably, 45.6% of reports (n = 383) identified the neurological system as the most frequently mentioned health category, each reporting at least one AHE. This was followed by the respiratory (39.1%; n = 328) and digestive (10.7%; n = 90) systems. Among all reported AHEs, respiratory system issues were most frequent (25.9%; n = 512), closely followed by neurological (25.2%; n = 499) and digestive (6.6%; n = 131) concerns. Most reports occurred in 2019 (65.7%; n = 551), coinciding with the EVALI outbreak, with a subsequent decline post-Q3 2019, highlighting the potential impact of specific health crises on reporting trends.

Conclusion: E-cigarettes dominated adverse health reports, particularly affecting the neurological and respiratory systems, with a peak in 2019. Our findings provide insights to regulatory entities and future research, enhancing understanding of AHEs in lesser-explored bodily systems, such as the neurological and digestive systems. This study emphasizes the need for ongoing and improved surveillance of emerging tobacco products to protect public health.

Background: Electronic nicotine delivery systems ("e-cigarettes") are the nicotine product most commonly used by adolescents. Research, treatment, and policy could benefit from measures of adolescent e-cigarette beliefs about outcomes of use (ie, expectancies). In the current study, we developed and tested an adolescent electronic nicotine vaping expectancy measure.

Methods: A focus group with adolescents evaluated potential e-cigarette expectancy items. A panel of national experts assisted in revision of these items. Finally, items were administered to a sample of adolescents 14-17 years old (N = 267, Mean age 15.6, SD = 1.1, 50.9% Female, 50.2% Non-Hispanic White, 22.5% Non-Hispanic Black, 14.2% Hispanic) in a large Southeastern metropolitan area in the United States.

Results: Exploratory Factor Analysis revealed a four factor solution: Negative Consequences (Cronbach's α = .92); Positive Reinforcement (α = .83); Negative Affect Reduction (α = .95); and Weight Control (α = .89). Subscales were significantly correlated with vaping susceptibility and lifetime vaping. Subscales successfully differentiated susceptible adolescents from confirmed non-susceptible adolescents, with susceptible adolescents reporting more positive expectancies, eg, Positive Reinforcement, M = 5.0, SD = 2.0 vs M = 3.0, SD = 2.1, P < .001, η² = 0.19, and less negative expectancies, M = 5.5, SD = 2.3 vs M = 6.5, SD = 2.6, P = .001, η² = 0.04. Similar results were found comparing adolescents who have never vaped nicotine with those who have vaped nicotine. Hierarchical linear regression demonstrated subscales were significant predictors of lifetime vaping after controlling for demographics, vaping ad exposure, and peer/family vaping.

Conclusions: A preliminary version of an adolescent expectancy measure appears reliable and valid based on expert input and pilot testing with adolescents. Promising results were found in the domains of concurrent validity, discriminant validity, and incremental validity. Future research and evaluation efforts will be able to use this tool to further prevention and treatment goals.

Introduction: Tobacco companies conduct and fund research. They are not always interested in open-ended research. They promote their interests through public relations campaigns. It's a proven fact that they influence the scientific community by impairing scientific reputation, especially in the case of health-related research.

Methods: To obtain a comprehensive picture of research and funding activities of the tobacco industry as well as studies about the tobacco industry, respective scientific articles were analyzed in terms of temporal aspects, research areas, networking, and funding sources using established and advanced bibliometric methods.

Results: We found the foci of publications with tobacco industry involvement or funding were mainly in chemistry, toxicology, pharmacology, and agricultural sciences. Health-related scopes occurred much less frequently. In contrast, health and medical sciences were the main focus of publications on the tobacco industry. The Chinese state-owned CNTC was the most research-involved tobacco company and often networked with Chinese academic institutions. Whereas, Western universities, on the other hand, collaborated with tobacco companies to a much lesser extent.

Conclusion: Conflicts of interest of researchers or academic institutions with the tobacco industry occur repeatedly. That is highly problematic and should not be ignored by the scientific community. The science and the public should be skeptical about tobacco industry-supported research.