Tobacco Prevention & Cessation最新文献

Introduction: Nicotine pouches have recently gained popularity among adults in Saudi Arabia, but limited information is available about the common symptoms' users may experience. This study looks into how frequently users report gastrointestinal and psychological symptoms and explores possible links with different personal and behavioral factors.

Methods: We conducted an online cross-sectional survey among adult Saudis who used nicotine pouches in the recent half year. The survey collected demographic data, patterns of usage, and gastrointestinal symptoms self-assessed. Psychiatric status was assessed using the Arabic DASS-21 version. Data were analyzed using SPSS version 29 with the help of descriptive and logistic regression analysis.

Results: A total of 1214 individuals participated. Most (80.8%) reported at least one gastrointestinal symptom - mainly bloating (66.7%), nausea (47.9%), and heartburn (46.7%). Around 39.3% of participants reported psychological symptoms, with mild symptoms being the most common (19.9%). The analysis showed that people with lower education and income levels were more likely to report psychological symptoms (p=0.004 and p<0.001). A slight trend was also noted among current smokers, though not statistically significant (p=0.076).

Conclusions: The study found that many users of nicotine pouches report gastrointestinal and psychological symptoms. The symptoms seem more common among individuals with lower socioeconomic status. Although the findings do not imply direct effects, they indicate that there should be greater awareness and more research, especially long-term research, to establish how nicotine pouch use can be attributed to health problems.

Introduction: Oral smokeless tobacco (OST) is a major preventable risk factor for oral cancer. Nicotine replacement therapy (NRT), a commonly used pharmacological treatment in tobacco cessation interventions that help in reducing the withdrawal symptoms that individuals might experience in their attempt to quit. This systematic review aimed to assess NRT's effectiveness on OST cessation and reduction rates, addressing gaps in prior studies by incorporating recent research across diverse populations, including developing and developed countries.

Methods: A systematic search was conducted across PubMed, Cochrane, Embase, and Web of Science. The inclusion criteria were: English articles (2004 to June 2024), OST users of both genders, NRT intervention, control group (generic, placebo, or no intervention), and a 7-day point prevalence of OST abstinence and reduction at week 12. Studies were excluded if they lacked relevant outcomes, were non-English, or published before 2004. Data abstraction forms were used to extract study characteristics and results. The Practical Meta-Analysis Effect Size Calculator determined the effect sizes and directions. The risk of bias was assessed using Cochrane Collaboration's tool.

Results: Eleven studies were included with 40-1067 sample size. Seven were effective on OST abstinence, with effect sizes ranging from d=0.10 to d=0.54 and odds ratios from OR=1.67 to OR=4.10. One study demonstrated OST reduction (d=0.16 for dips/day and d=0.17 for cans/week). Nicotine dependence, NRT dosage, self-efficacy and social support were identified as key factors influencing the NRT's effectiveness in the included studies.

Conclusions: NRT can aid in OST cessation. Combination of NRT with other interventions such as coach calls and web-based interactive setting can enhance the OST abstinence rate. The evidence, though promising, is limited by study variability, and inconsistent outcome reporting. Future studies should explore self-efficacy, social support, and NRT dosage with larger sample sizes for better assessment.

Introduction: A significant association has been established between tobacco-smoking and alcohol consumption. However, few studies have investigated this association according to tobacco product type. This study aimed to investigate alcohol dependence according to smoking status.

Methods: The analysis targeted 31465 participants of the Japan Society and New Tobacco Internet Survey 2023, including 19927 never smokers (63.3%), 6545 ex-smokers (20.8%), 2461 cigarette smokers (7.8%), 1496 heated tobacco product (HTP) smokers (4.8%), and 1036 dual smokers (3.3%). Participant characteristics, including sex, age, and body mass index (BMI), were recorded. Alcohol-dependence status was defined as an alcohol use disorders identification test (AUDIT) score of >13. The Tobacco Dependence Screener (TDS) test was conducted to assess nicotine dependence.

Results: Participants had a median age 47 years (interquartile range, IQR: 33-62) and a median BMI of 21.6 kg/m² (IQR: 19.6-24.0). While never smokers showed the lowest AUDIT scores (median: 1), cigarette, HTP, and dual smokers exhibited significantly higher AUDIT scores than never smokers (cigarette: 3, HTP: 4, dual smoker: 4; all p<0.001). Dual smokers showed the highest rate of alcohol dependence (14.9%), followed by HTP smokers (10.7%), cigarette smokers (10.5%), ex-smokers (7.8%), and never smokers (2.2%). In logistic regression analysis, factors related to smoking status - such as number of tobacco products consumed per day, TDS scores, and smoking type - were significantly related to alcohol dependence, along with demographic factors of age and sex. Dual smokers were four times more likely to be alcohol dependent than never smokers (adjusted odds ratio, AOR=4.07; 95% CI: 3.09-5.46).

Conclusions: Smoking status is significantly associated with alcohol consumption status.

Introduction: Tobacco use patterns have dramatically shifted, with electronic cigarettes (e-cigarettes) rapidly increasing in popularity despite uncertainty about their health impacts. This study examines adherence to preventive cancer screening guidelines among cigarette smokers, e-cigarette users, and non-smokers, addressing a critical gap in understanding how tobacco use influences engagement in preventive healthcare.

Methods: A total of 445132 adult respondents were queried from the 2022 Behavioral Risk Factor Surveillance System data. Analytic samples were restricted to age- and sex-eligible sub-cohorts for each cancer type, therefore including adults 50-75 years, women 50-74 years, and women 21-65 years for colon, breast and cervical screening, respectively. Within these analytic samples, we assessed the association between socioeconomic characteristics, smoking status, and screening adherence using weighted logistic regression, adjusted for relevant factors.

Results: Screening adherence was lowest among cigarette smokers, intermediate among e-cigarette users, and highest among non-smokers. Compared to non-smokers, cigarette smokers had significantly lower odds of adhering to colorectal (AOR=0.75; 95% CI: 0.58-0.81), breast (AOR=0.57; 95% CI: 0.52-0.61), and cervical cancer screening (AOR=0.67; 95% CI: 0.62-0.72). E-cigarette users also showed reduced adherence to colorectal (AOR=0.90; 95% CI: 0.81-0.95) and breast cancer screening (AOR=0.75; 95% CI: 0.70-0.81) but not cervical cancer screening.

Conclusions: E-cigarette users exhibited suboptimal adherence to recommended cancer screenings, suggesting that perceptions of reduced risk associated with vaping do not translate into improved preventive healthcare behaviors. Targeted public health initiatives addressing risk misconceptions and healthcare access barriers are necessary to improve screening rates among all tobacco users.

Introduction: Smoking during pregnancy remains a significant global public health concern. Midwives, as frontline healthcare providers, play a crucial role in supporting smoking cessation among pregnant women. This study aimed to explore the factors associated with the implementation of smoking practices by midwives in Greece.

Methods: We conducted a cross-sectional survey between December 2022 and December 2023 among 150 midwives working in the 1st and 2nd Health Districts of Greece, as well as in private practices. Data were collected using a self-administered, anonymized questionnaire assessing demographics, knowledge, opinions, perceptions, and smoking cessation practices. Composite scores were calculated for knowledge, opinions, perceptions, and practices. Exploratory factor analysis was applied to examine the structure of midwives' opinions and perceptions. Multivariate linear regression was used to identify independent predictors of smoking cessation practices.

Results: Among the respondents, 78% had not received formal education on smoking cessation, although 77.3% expressed a desire for training. Only 35.3% recognized that secondhand smoke affects newborns, and 32.7% felt confident in supporting pregnant women to quit smoking. Factor analysis identified two key dimensions: midwives' contribution to smoking cessation during pregnancy, and information and help to stop smoking during pregnancy, explaining 27.7% and 16.9% of the variance, respectively. Multivariate regression revealed that both factors were independently associated with more frequent implementation of smoking cessation practices (p<0.05).

Conclusions: The study underscores the pivotal role of midwives in smoking cessation during pregnancy and highlights the importance of perceptions, self-efficacy, and access to information in shaping their practices. Targeted education and institutional support are essential to strengthen midwives' capacity to deliver effective smoking cessation interventions. These findings can inform policy and training programs aiming to improve maternal and neonatal outcomes by reducing tobacco use during pregnancy.

Introduction: Little is known about e-cigarette device and flavor preferences among pregnant women. The purpose of this study was to identify classes of e-cigarette use based on device and flavor preferences among pregnant women who report dual use of e-cigarettes and cigarettes.

Methods: A sample of pregnant women (n=118), aged 18-40 years, living in the US, with dual cigarette and e-cigarette use, completed a cross-sectional online survey. Participants reported e-cigarette characteristics including past 30-day e-cigarette device (cartridge-based, JUUL, tank, and disposable) and flavor use (tobacco, mint, spice, sweet, alcohol, combined), and use of e-cigarettes containing delta-9-tetrahydrocannabinol (THC) in pregnancy. We used latent class analysis to classify subgroups based on e-cigarette preferences in pregnancy and examined the association of sociodemographic variables and cigarette smoking frequency with class membership.

Results: We found four distinct classes of e-cigarette preferences: Class 1) tobacco, mint, and sweet JUUL (50.4%); Class 2) THC, all flavors, and JUUL (28.1%); Class 3) THC, all flavors, and all device (12.4%); and Class 4) THC, tobacco, mint, sweet, and tank device (9.1%). Pregnant women who smoked ≥11 cigarettes per day, compared to those who smoked 1-10 per day, were 5.22 (95% CI: 1.85-14.70) and 5.55 times (95% CI: 1.49-20.61) as likely to use THC, all flavors, and JUUL and all devices, respectively, compared with those who used tobacco, mint, and sweet flavors with JUUL.

Conclusions: Pregnant dual users of cigarettes and e-cigarettes are a heterogenous group. Device and flavor differences should be considered when developing targeted messaging campaigns and prevention strategies.

Introduction: The Theory of Reasoned Action has been widely used to explain adolescent tobacco and nicotine product (TNP) use, focusing on intentions and subjective norms. However, the 'reactive pathway', emphasizing situational influences and willingness to use, better predicts TNP use in adolescents. While prior research has examined willingness for cigarettes and e-cigarettes, its application to the broader range of available TNPs is limited. This study investigates adolescent characteristics across varying levels of TNP use willingness. We hypothesized that perceived harm and addictiveness would be associated with willingness to use tobacco.

Methods: Secondary school students aged 14-15 years (n=348) completed a survey that assessed demographics and TNP use history, willingness to use TNPs, peer use, and perceived harm and addictiveness of TNPs. Descriptive statistics were used to characterize the population overall and by willingness to use TNPs. Multivariable logistic regression models estimated associations between TNP-specific willingness to use, gender, race, ethnicity, and peer use with TNP-specific perceived harm and addictiveness.

Results: Across the TNPs, 22.1% were current users, 23.3% were willing non-users and 54.7% were non-willing non-users. Significant differences in perceived harm by willingness were for cigarettes, e-cigarettes, and hookah, while perceptions of addictiveness varied by willingness group for all TNPs with the exception of cigarillos (all p<0.05). Willing non-users had lower odds of perceived addictiveness (smokeless tobacco, OR=0.29; 95% CI: 0.11-0.81; cigar, OR=0.33; 95% CI: 0.15-0.70) and harm (e-cigarettes, OR=0.38; 95% CI: 0.19-0.76; pipe, OR=0.41; 95% CI: 0.17-0.98; cigarillos/little cigars, OR=0.34; 95% CI: 0.12-0.92; cigars, OR=0.24; 95% CI: 0.11-0.54) compared to non-willing non-users.

Conclusions: Adolescents have varying levels of susceptibility to using TNPs. In order to develop effective interventions for adolescents, the diverse range of available TNPs with specific risks and appeal need to be considered.CLINICAL TRIAL REGISTRATION: The study is registered on the official website of ClinicalTrials.govIDENTIFIER: ID NCT05396911.

Introduction: Smoking and alcohol consumption are two harmful yet socially accepted habits in Poland. The main focus of this study was to assess patterns of tobacco and alcohol consumption in Polish transplant patients.

Methods: A survey was conducted between June and November 2023 at a transplantation center in Poland. The participants in the study were kidney, liver, or pancreas transplant recipients (aged 19-81 years). A structured questionnaire was applied to assess self-reported use of tobacco and alcohol in the pre-transplantation (pre-tx) and post-transplantation (post-tx) periods.

Results: Data from 215 eligible transplant recipients were analyzed. The median age was 51 years (IQR: 38.5-60.5), and 56.7% of the patients were male. Most patients (79.1%) received a kidney transplant, 20.5% a liver transplant, and 5.6% a pancreas transplant. In this cohort, tobacco use decreased by 33.7% and alcohol use decreased by 40.5% post-tx compared to pre-tx. Regarding cigarette smoking, 92% of post-tx patients did not smoke at all (vs 81.1% pre-tx). The use of e-cigarettes or heated tobacco remained relatively unchanged, with abstinence declared by 91.5% pre-tx versus 93.9% post-tx (p=0.351). When asked about alcohol consumption within the last year, 67.6% of respondents indicated that they did not consume alcohol at all (vs 50.2% pre-tx), and 26.3% had occasionally consumed alcohol (vs 40% pre-tx). More than half of the participants reported no change in their tobacco and alcohol consumption patterns (65.4% and 57.1%, respectively).

Conclusions: The results of our study indicated a decrease in the use of traditional tobacco products and alcohol following transplantation. However, the use of e-cigarettes or heated tobacco remains stable and should be further examined. Therefore, it is important to develop targeted interventions to support tobacco and alcohol cessation among transplant patients.

Introduction: The environment plays a significant role in influencing smoking experiments, which contributes to the emergence of new smokers among Thai adolescents. This research aims to identify the relationship between risk behaviors by identifying the predictors of current tobacco usage based on the characteristics of new smokers.

Methods: This cross-sectional study analyzed pooled secondary data from nationally representative surveys conducted between 2004 and 2021 by the Tobacco Control Research and Knowledge Management Center (TRC) and the National Statistical Office (NSO) of Thailand. The dataset included anonymous responses from 36067 adolescents aged 15-18 years. Smoking status was the dependent variable, categorized into smokers and non-smokers, while independent variables such as geographical location, family and peer influences, and early exposure to smoking were analyzed to identify factors that influence smoking behavior.

Results: The ACBGWO algorithm identified key factors influencing smoking initiation among Thai adolescents aged 15-18 years, including geographical location, family hierarchy, purchasing behavior, environmental exposure, and gender. Smoking prevalence was highest in the Southern region (10.91%) and lowest in the Central region (6.38%). Adolescents who were the third child in a family reported a smoking rate of 8.92%, while those who purchased cigarettes themselves exhibited a 100% prevalence, reflecting weak enforcement of age-related sales regulations. Environmental exposure, such as noticing cigarette butts in fresh food markets, was associated with a prevalence of 11.31%. Gender differences were pronounced, with 15.35% of males smoking compared to 0.37% of females. The algorithm achieved an accuracy of 99.63%, effectively identifying critical predictors, highlighting the need for targeted interventions addressing social, environmental, and regulatory factors.

Conclusions: The study identified geographical location, peer and family influence, and early exposure to smoking as critical predictors of smoking initiation among Thai adolescents. These findings underscore the need for targeted interventions addressing these factors to effectively reduce youth smoking initiation in Thailand, despite existing public health measures.