Regional insights on tobacco-related tweets: unveiling user opinions and usage patterns.

Introduction: Tobacco consumption and its impact on health remain high worldwide. Additionally, it is a contentious issue generating significant controversy. Twitter has proven to be a useful platform for evaluating public health topics related to population health behaviors, and tobacco consumption. Objective: The objective of this study is to analyze the content of tweets related to tobacco. Moreover, geolocation data will be considered to understand regional differences. Methods: Tweets published between 2018 and 2022, in both English and Spanish, containing the keyword "tobacco," were analyzed. A total of 56,926 tweets were obtained. The tweets were classified into different categories. 550 tweets were manually analyzed, and an automated and computerized classification was performed for the remaining and largest subset of tweets. Results: The analysis yielded 30,812 classifiable tweets. Healthcare professionals were the most frequent contributors to the topic (50.2%), with the most common theme being general information about the toxic effects of tobacco. 57.9% of the tweets discussed the harmful effects of tobacco on health, with fear being the predominant emotion. The largest number of tweets were located in America. Conclusions: Our study revealed a substantial number of tweets highlighting the health risks and negative perceptions of tobacco consumption. Africa showed the lowest percentage of tweets discussing the health risks associated with tobacco, coinciding with the continent having the least developed anti-tobacco policies. Healthcare professionals emerged as the most prominent users discussing the topic, which is encouraging as they play a crucial role in disseminating accurate and scientific health information.

Exploring the impacts of risk factors on mortality patterns of global Alzheimer's disease and related dementias from 1990 to 2021.

Alzheimer's Disease and Related Dementias (ADRD) affect millions of people worldwide, with mortality rates influenced by several risk factors and exhibiting significant heterogeneity across geographical regions. This study aimed to investigate the impact of risk factors on global ADRD mortality patterns from 1990 to 2021, utilizing clustering and modeling techniques. Data on ADRD mortality rates, cardiovascular disease, and diabetes prevalence were obtained for 204 countries from the GBD platform. Additional variables such as HDI, life expectancy, alcohol consumption, and tobacco use prevalence were sourced from the UNDP and WHO. All the data were extracted for men, women, and the overall population. Longitudinal k-means clustering and generalized estimating equations were applied for data analysis. The findings revealed that cardiovascular disease had significant positive effects of 1.84, 3.94, and 4.70 on men, women, and the overall ADRD mortality rates, respectively. Tobacco showed positive effects of 0.92, 0.13, and 0.39, while alcohol consumption had negative effects of - 0.59, - 9.92, and - 2.32, on men, women, and the overall ADRD mortality rates, respectively. The countries were classified into five distinct subgroups. Overall, cardiovascular disease and tobacco use were associated with increased ADRD mortality rates, while moderate alcohol consumption exhibited a protective effect. Notably, tobacco use showed a protective effect in cluster A, as did alcohol consumption in cluster B. The effects of risk factors on ADRD mortality rates varied among the clusters, highlighting the need for further investigation into the underlying causal factors.

A Complex Interplay: Navigating the Crossroads of Tobacco Use, Cardiovascular Disease, and the COVID-19 Pandemic: A WHF Policy Brief.

The Coronavirus Disease 2019, commonly referred to as COVID-19, is responsible for one of the deadliest pandemics in human history. The direct, indirect and lasting repercussions of the COVID-19 pandemic on individuals and public health, as well as health systems can still be observed, even today. In the midst of the initial chaos, the role of tobacco as a prognostic factor for unfavourable COVID-19 outcomes was largely neglected. As of 2023, numerous studies have confirmed that use of tobacco, a leading risk factor for cardiovascular and other diseases, is strongly associated with increased risks of severe COVID-19 complications (e.g., hospitalisation, ICU admission, need for mechanical ventilation, long COVID, etc.) and deaths from COVID-19. In addition, evidence suggests that COVID-19 directly affects multiple organs beyond the respiratory system, disproportionately impacting individuals with comorbidities. Notably, people living with cardiovascular disease are more prone to experiencing worse outcomes, as COVID-19 often inherently manifests as thrombotic cardiovascular complications. As such, the triad of tobacco, COVID-19 and cardiovascular disease constitutes a dangerous cocktail. The lockdowns and social distancing measures imposed by governments have also had adverse effects on our lifestyles (e.g., shifts in diets, physical activity, tobacco consumption patterns, etc.) and mental well-being, all of which affect cardiovascular health. In particular, vulnerable populations are especially susceptible to tobacco use, cardiovascular disease and the psychological fallout from the pandemic. Therefore, national pandemic responses need to consider health equity as well as the social determinants of health. The pandemic has also had catastrophic impacts on many health systems, bringing some to the brink of collapse. As a result, many health services, such as services for cardiovascular disease or tobacco cessation, were severely disrupted due to fears of transmission and redirection of resources for COVID-19 care. Unfortunately, the return to pre-pandemic levels of cardiovascular disease care activity has stagnated. Nevertheless, digital solutions, such as telemedicine and apps, have flourished, and may help reduce the gaps. Advancing tobacco control was especially challenging due to interference from the tobacco industry. The industry exploited lingering uncertainties to propagate misleading information on tobacco and COVID-19 in order to promote its products. Regrettably, the links between tobacco use and risk of SARS-CoV-2 infection remain inconclusive. However, a robust body of evidence has, since then, demonstrated that tobacco use is associated with more severe COVID-19 illness and complications. Additionally, the tobacco industry also repeatedly attempted to forge partnerships with governments under the guise of corporate social responsibility. The implementation of the WHO Framework Convention on Tobacco Control could address many of the aforementioned challenges and alleviate the burden of tobacco, COVID-19, and cardiovascular disease. In particular, the implementation of Article 5.3 could protect public health policies from the vested interests of the industry. The world can learn from the COVID-19 pandemic to better prepare for future health emergencies of international concern. In light of the impact of tobacco on the COVID-19 pandemic, it is imperative that tobacco control remains a central component in pandemic preparedness and response plans.

Estimating alcohol and tobacco consumption of university students and urban population in Ho Chi Minh City by wastewater analysis.

The quantitative measurement of urinary biomarkers in wastewater has emerged as a robust tool for estimating alcohol and tobacco consumption in populations. In this study, we applied the wastewater-based epidemiology (WBE) approach to compare alcohol and tobacco use between university students and urban inhabitants in Ho Chi Minh City, Vietnam. Ethyl sulfate and cotinine serve as markers for alcohol and tobacco use, respectively. Our findings reveal that urban inhabitants aged 15 and above consume 1.56 ± 0.23 mL of pure ethanol and 2.8 ± 0.33 mg of nicotine per day, while university students consume 0.69 ± 0.13 mL of pure alcohol and 1.2 ± 0.2 mg of nicotine per day. This indicates that, on average, students consume less alcohol and tobacco compared with urban adults. A Monte Carlo simulation indicated that, on average, university students in our study smoke 1.5 cigarettes per day, while urban residents aged 15 and above smoke 4.3 cigarettes per day. Considering the smoking prevalence, a student smoker in this study consumes 6.5 cigarettes per day, a level high enough to establish addiction. On the other hand, alcohol use estimation is significantly lower than previous survey-based reports, likely due to degradation within on-site septic tanks. Future research should aim to extend the sampling period to capture seasonal variations and improve the understanding of tobacco and alcohol consumption patterns. The results from this study are crucial for decision-makers in Ho Chi Minh City to develop effective public health strategies and interventions. PRACTITIONER POINTS: Wastewater-based approach is applicable to estimate the tobacco consumption in Ho Chi Minh City. Each current smoker in the urban area of Ho Chi Minh City smokes nearly a package a day. The estimated consumption for student smokers in U-town is 6.5 cigarettes per day, a level high enough to establish addiction. The existence of septic tanks within Vietnam's drainage systems prevents reliable estimation of alcohol consumption for the entire population.

A decomposition analysis of sociodemographic factors and non-cigarette tobacco use as contributors to the change in smoking rates in South Africa between 2017/18 and 2021.

BACKGROUND: Trends data up to 2018 suggest that tobacco smoking was increasing in South Africa (SA), but only limited information is available on the impact of the COVID-19 pandemic on the current pattern of use of tobacco and nicotine products (TNPs). OBJECTIVES: To assess trends in sociodemographic patterns in the use of TNPs and the extent to which sociodemographic factors and non-cigarette tobacco use may explain possible changes in rates of TNP use between 2017/18 and 2021. METHODS: Data from three waves (2017, 2018 and 2021) of the South African Social Attitudes Survey (total N=8 140) were analysed. The sociodemographic correlates of current daily and non-daily use of factory-manufactured cigarettes (FMCs), roll-your-own (RYO) cigarettes, waterpipe/hubbly, electronic cigarettes (ECigs), snuff (a smokeless tobacco) and any combination of FMCs, RYO cigarettes and waterpipe/hubbly ('current smoking') in 2017/18 (pre-pandemic) were compared with those for 2021 (during the pandemic). Chi-square analyses and generalised linear models were used to compare the prevalence of TNP use between the two periods. A Blinda-Oaxaca decomposition analysis was also used to explore the roles of various sociodemographic factors, including any differences in the use of TNPs, that may explain any observed differences in smoking rates between 2017/18 and 2021. RESULTS: Current smoking increased significantly from 22.4% (95% confidence interval (CI) 20.4 - 24.5) in 2017/18 to 27.6% (95% CI 24.3 - 31.1) in 2021 (p=0.009). Smoking of FMCs did not change significantly overall between these two periods (20.1% v. 22.1%; p=0.240), except for a significant increase among those who self-identified as black African and a decrease among those who self-identified as coloured and those currently employed. However, the use of waterpipe/hubbly, ECigs, RYO cigarettes and snuff increased significantly. Women, individuals aged <35 years and black Africans had the largest increase in waterpipe/hubbly and ECig use. A decomposition analysis showed that increased waterpipe/hubbly and RYO use explained 52% and 15%, respectively, of the increase in smoking rates, while lower employment during 2021 compared with 2017/18 explained 15% of the increase in smoking rates during 2021. CONCLUSION: The use of all TNPs continued to increase in SA, particularly among women and unemployed people. These findings have policy and practice implications for addressing socioeconomic disparities in tobacco-related diseases.

A commercial tobacco and alcohol use intervention for urban Native American youth.

OBJECTIVE: Westernized alcohol and commercial tobacco use prevention approaches for Native Americans have not been effective, or sustainable. The overall objective of this study examined the effect of the culturally based Urban Talking Circle (UTC) intervention versus standard education (SE) program for the prevention of alcohol and commercial tobacco use among urban Native American youth. DESIGN: The study employed a 2-condition quasi-experimental design and utilized convenience and snowball sampling methods for recruiting 100 urban Native American youth participants in two urban Native American community program locations in Florida. Study participants were randomized by their urban Native American community program location to one of the 2-conditions. These included the standard education (SE) program used within United States school systems (drug abuse resistance education) and the Urban Talking Circle (UTC) intervention, culturally tailored and developed for urban Native American youth from the culturally based Talking Circle Intervention for rural Native American Youth. The Native American Alcohol Measure for Youth (NAAMY) and Native Reliance Questionnaire were utilized to collect participants' data. Participants' data was analyzed using multivariate analysis of variance to determine differences between the scores on all measures at pre/post-intervention for the 2-conditions. RESULTS: Study findings indicate that a culturally based intervention was more effective for the reduction of commercial tobacco and alcohol use than a non-culturally based intervention for urban Native American youth. CONCLUSION: The study findings emphasized that the utilization of the culturally tailored UTC intervention reduced involvement associated with alcohol and commercial tobacco use.

The association between smoking and smokeless tobacco use with dental caries among Pakistani patients.

BACKGROUND: Tobacco use is widely recognised as a significant risk factor for oral cancer and periodontal diseases. However, the relationship between various types of tobacco use and dental caries has been inconsistent. This study aimed to determine the association between smoking and smokeless tobacco and dental caries among patients in a tertiary care hospital in Quetta, Pakistan. METHODS: This cross-sectional study was conducted from November 2020 to March 2021 among patients in a tertiary care hospital in Quetta, Pakistan. Oral examinations and interviews were performed according to the WHO Oral Health Survey basic methods (5th edition) to determine dental caries status, tobacco use, and oral health behaviours. The odds ratio and binary logistic regression were analysed to assess the association between the types (smoking tobacco, smokeless tobacco, and use of both types), duration, and frequency of tobacco use and high caries level (DMFT ≥ 5). RESULTS: Four hundred participants aged 18-65 were included, and 67.8% were tobacco users. Use of both smoking and smokeless tobacco (aOR = 14.7, 95%CI = 1.87-115.96, p = 0.011), smokeless tobacco only (aOR = 5.90, 95%CI = 1.89-18.37, p = 0.002), and smoking only (aOR = 2.18, 95%CI = 1.23-3.88, p = 0.008) were associated with significantly increased risk of high caries. Using tobacco for longer periods and more frequently daily also significantly increases the risk of high caries. CONCLUSION: Smoking and smokeless tobacco are significantly associated with high dental caries after adjusting for other factors. Due to the high severity of dental caries and the high prevalence of tobacco use among Pakistani patients in this study, it is highly recommended to strengthen policies aimed at reducing tobacco usage, including smokeless forms.

Reasons for multiple tobacco product and cannabis co-use among Texas young adults.

OBJECTIVE: This study examines differences in reasons for e-cigarette, cigarette, and cannabis use across exclusive, dual, co-, and poly co-users. METHODS: Participants were 645 young adults who reported past 30-day (P30D) use of e-cigarettes, cigarettes, or cannabis at wave 14 (Fall, 2021) of the Texas Adolescent Tobacco Marketing and Surveillance System (TATAMS). Exclusive users reported P30D use of one product, dual users reported P30D use of e-cigarettes and cigarettes, co-users reported use of cannabis and one tobacco product, and poly co-users reported P30D use of all three products. Participants were asked if they agreed with a series of reasons for using their respective products. Multinomial logistic regression analyses were conducted to examine associations between reasons for use and pattern of use, controlling for sex, race/ethnicity, and lifetime product use. RESULTS: 26.36 % of P30D users reported cannabis and tobacco use. Poly co-users were more likely to report using e-cigarettes because their friends do than e-cigarette co-users (aRRR = 2.64; 95 %CI = 1.19-5.83) and dual tobacco users (aRRR = 5.11; 95 %CI = 1.73-15.12). Poly co-users were more likely to smoke cigarettes while drinking alcohol (aRRR = 4.68; 95 %CI = 1.06-20.72) or to experience a pleasurable buzz (aRRR = 5.48; 95 %CI = 1.62-18.57) than exclusive cigarette users. Poly co-users more often reported using cannabis for taste (aRRR = 3.13; 95 %CI = 1.51-6.51), because their friends use it (aRRR = 2.19; 95 %CI = 1.08-4.42), and while drinking alcohol (aRRR = 2.13; 95 %CI = 1.03-4.41) than exclusive cannabis users. CONCLUSIONS: Given that reasons for use differ significantly among types of multiple product users and exclusive users, interventions should be tailored to address the specific tobacco and cannabis use practices of young adults.

Depression screening outcomes among adolescents, young adults, and adults reporting past 30-day tobacco and cannabis use.

BACKGROUND: Few studies examine the relationship between depression and use of specific tobacco and/or cannabis products among adolescents, young adults, and adults. We determined whether the odds of depression are greater among those who used specific tobacco and/or cannabis products and among co-users of tobacco and cannabis. METHOD: Cross-sectional online survey of a national convenience sample of 13-40-year-olds (N = 6,038). The survey included depression screening and past 30-day use of specific tobacco and cannabis products (cigarettes; e-cigarettes, vaped cannabis, little cigars, cigarillos, cigars, hookah, chewing tobacco, smoked cannabis, edible cannabis, blunts). Analyses correspond to the total sample, and 13-17-, 18-24-, and 25-40-year-olds. RESULTS: Among 5,281 individuals who responded to the depression screener and nine product use questions, 1,803 (34.1 %) reported co-use of at least one tobacco product and one cannabis product in the past 30 days. Past 30-day co-use was associated with higher likelihood of screening positive for depression compared to past 30-day use of tobacco-only (aOR = 1.32, 1.06-1.65; 0.006) or cannabis-only (aOR = 1.94, 1.28-2.94; <0.001). Screening positive for depression was more likely among those who reported past 30-day use of e-cigarettes (aOR = 1.56; 1.35-1.80; <0.001), cigarettes (aOR = 1.24, 1.04-1.48; 0.016), chewed tobacco (aOR = 1.91, 1.51-2.42; <0.001), and blunts (aOR = 1.22, 1.00-1.48; 0.053) compared to those who did not report past 30-day use of these products. Among the 2,223 individuals who screened positive for depression, the most used two-product combination was nicotine e-cigarettes and smoked cannabis (614 individuals, 27.6 %). CONCLUSIONS: Screening positive for depression was more likely among past 30-day co-users versus past 30-day users of tobacco-only or cannabis-only. Findings suggest that prevention programs for depression and substance use address tobacco and cannabis co-use.

Predicting longitudinal changes in patterns of tobacco and nicotine product use among adolescents: A Latent Transition Analysis based on the X:IT study.

INTRODUCTION: Understanding factors influencing the transition from non-use to tobacco and nicotine product initiation among adolescents is crucial for designing and implementing effective preventive strategies. This study explores transition patterns among 13-15-year-old adolescents in lower secondary school, focusing on the transition from non-use to tobacco and nicotine product initiation and the influence of individual, social, risk behavioral, and mental health factors on this transition. METHODS: Based on data from a Danish smoking prevention trial between 2017 and 2019, this study employed questionnaire surveys at three time points: baseline (start of seventh grade, n = 1,990, response rate = 86.3%), eight-month follow-up (end of seventh grade, n = 1,666, response rate = 74,8%), and 20-month follow-up (end of eighth grade, n = 1,149, response rate = 70,6%). Tobacco and nicotine use indicators included current and lifetime use of cigarettes and lifetime use of e-cigarettes, smokeless tobacco, and hookah. A latent transition analysis was applied to identify longitudinal transition patterns across waves and to explore predictors of these patterns. RESULTS: Three user classes emerged across all waves: none-use, lifetime e-cigarette and cigarette use, and poly-tobacco use. While the most prevalent class was the non-user class (71%-86%), the proportion of the lifetime e-cigarette and cigarette class increased over time (from 12% to 17%). Similarly, the poly-tobacco user class increased from 2% to 12%. The probability of transitioning from non-use to lifetime e-cigarette and cigarette use increased from 0.5% at baseline to 12% by the second follow-up, while the probability of transitioning from lifetime e-cigarette and cigarette use remained stable over time (12%-15%). Across all waves, elevated risk behavior predicted this transition. For instance, binge-drinking (OR = 3.76, 95% CI: 1.51-9.34), susceptibility to smoking (OR = 7.63, 95% CI: 3.68-16.83), and truancy (OR = 7.00, 95% CI: 1.98-24.59) influenced the transition from non-use at baseline to lifetime e-cigarette and cigarette use at first follow-up. Additionally, boys, adolescents with low socioeconomic status, low life satisfaction, and those with smoking friends or parents were more likely to transition from non-use to lifetime e-cigarette and cigarette use. CONCLUSION: This study demonstrates that sociodemographic, social risk, behavioral, and mental health factors impact the transition from non-use to lifetime e-cigarette and cigarette use. The findings provide valuable insights for developing targeted preventive strategies focusing on these influencing factors.

Understanding ethnic inequities associated with tobacco use in Aotearoa New Zealand: a quantitative analysis.

Despite the inclusion of both individual interventions and population-based measures in the Aotearoa New Zealand (Aotearoa NZ) Tobacco Control Programme, the gap between Maori, Pacific peoples and European/Asian/Other (EAO) populations in tobacco use has not decreased significantly. Tobacco control interventions that focus on individual behaviour change have produced little impact towards reducing tobacco smoking inequities for Maori and Pacific peoples in Aotearoa NZ. Using data from the New Zealand Health Survey (NZHS), this research investigates the impact of the wider determinants of health and individual-level factors on inequities in tobacco use between Maori, Pacific peoples and EAO. A conceptual framework was developed to support the theoretical positioning of this research and to inform data categorization, framing, discourse, analyses and interpretation. We conducted hierarchical regression to examine the effect of factors from each domain on ethnic inequities in tobacco use. We found that socioeconomic factors accounted for a significant amount of the disparity in adults currently smoking between Maori and Pacific peoples and EAO. Our results suggest that socioeconomic factors may be a more effective target of intervention than individual behaviours for reducing tobacco-related inequities. Addressing the broader determinants of health through comprehensive cross-agency cooperation to reduce ethnic inequities in tobacco use in Aotearoa NZ is likely to be more effective than individual behaviour change approaches.

Minority stressors and tobacco use among a US sample of sexual and gender minority young adults.

INTRODUCTION: Young adults who are sexual and gender minorities (SGM) are at the highest risk for tobacco initiation in young adulthood. Minority stress theory suggests that sexual orientation and gender identity (SOGI)-based discrimination may contribute to nicotine and tobacco use disparities. Our study aimed to quantify the association between SOGI-based distal minority stressors and current tobacco use among SGM young adults living in the United States (US). METHODS: Eligible participants-including young adults (aged 18-35 years old), who identified as SGM, and were currently residing in the US (N=1116) -were recruited via Prolific into an online survey. We applied stepwise binary regressions with backward selection to model the association between average past 30-day distal minority stress and current tobacco use (i.e., combustible cigarettes or e-cigarettes), controlling for perceived stress and sociodemographic covariates. We also tested interactions between minority stress and SGM status. Exploratory analyses assessed associations between minority stress and current tobacco use among YA, stratified by SGM subgroup. RESULTS: A 1-unit increase in experiencing minority stress in the past 30-days was associated with 1.02 greater odds of current tobacco use among SGM young adults. No difference between SGM subgroups in this association was found. Examining stratified SGM subgroups, a 1-unit increase in minority stress was associated with 1.11 greater odds of current tobacco among transgender adults only. CONCLUSION: Distal minority stress is differentially associated with current tobacco use for transgender young adults, which suggests that tobacco prevention and cessation interventions may need tailoring for subgroups. IMPLICATIONS: This study details the influence of minority stress on current tobacco use among sexual and gender minority (SGM) young adults. Findings underscore the need for targeted and tailored approaches to tobacco control, wherein SGM young adults most at-risk are engaged in cessation interventions that address minority stress as a contributing factor to tobacco use and which support their resilience. To promote health equity, tobacco control must address the contexts that engender minority stress. Assessment of policy impacts on SGM tobacco use and the effectiveness of interventions disseminated within SGM-supportive and discriminatory policy environments are important next steps.

Cannabis, Tobacco Use, and COVID-19 Outcomes.

Importance: It is unclear whether cannabis use is associated with adverse health outcomes in patients with COVID-19 when accounting for known risk factors, including tobacco use. Objective: To examine whether cannabis and tobacco use are associated with adverse health outcomes from COVID-19 in the context of other known risk factors. Design, Setting, and Participants: This retrospective cohort study used electronic health record data from February 1, 2020, to January 31, 2022. This study included patients who were identified as having COVID-19 during at least 1 medical visit at a large academic medical center in the Midwest US. Exposures: Current cannabis use and tobacco smoking, as documented in the medical encounter. Main Outcomes and Measures: Health outcomes of hospitalization, intensive care unit (ICU) admission, and all-cause mortality following COVID-19 infection. The association between substance use (cannabis and tobacco) and these COVID-19 outcomes was assessed using multivariable modeling. Results: A total of 72 501 patients with COVID-19 were included (mean [SD] age, 48.9 [19.3] years; 43 315 [59.7%] female; 9710 [13.4%] had current smoking; 17 654 [24.4%] had former smoking; and 7060 [9.7%] had current use of cannabis). Current tobacco smoking was significantly associated with increased risk of hospitalization (odds ratio [OR], 1.72; 95% CI, 1.62-1.82; P < .001), ICU admission (OR, 1.22; 95% CI, 1.10-1.34; P < .001), and all-cause mortality (OR, 1.37, 95% CI, 1.20-1.57; P < .001) after adjusting for other factors. Cannabis use was significantly associated with increased risk of hospitalization (OR, 1.80; 95% CI, 1.68-1.93; P < .001) and ICU admission (OR, 1.27; 95% CI, 1.14-1.41; P < .001) but not with all-cause mortality (OR, 0.97; 95% CI, 0.82-1.14, P = .69) after adjusting for tobacco smoking, vaccination, comorbidity, diagnosis date, and demographic factors. Conclusions and Relevance: The findings of this cohort study suggest that cannabis use may be an independent risk factor for COVID-19-related complications, even after considering cigarette smoking, vaccination status, comorbidities, and other risk factors.

The FRESHAIR4Life study: Global implementation research on non-communicable disease prevention targeting adolescents' exposure to tobacco and air pollution in disadvantaged populations.

The FRESHAIR4Life study aims to reduce the non-communicable disease (NCD) burden by implementing preventive interventions targeting adolescents' exposure to tobacco use and air pollution (AP) worldwide. This paper presents the FRESHAIR4Life methodology and initial rapid review results. The rapid review, using various databases and PubMed, aimed to guide decision-making on risk factor focus, target areas, and populations. It showed variable NCD mortality rates related to tobacco use and AP across the participating countries, with tobacco as the main risk factor in the Kyrgyz Republic, Greece, and Romania, and AP prevailing in Pakistan and Uganda. Adolescent exposure levels, sources, and correlates varied. The study will continue with an in-depth situational analysis to guide the selection, adaptation, and integration of evidence-based interventions into the FRESHAIR4Life prevention package. This package will be implemented, evaluated, assessed for cost-effectiveness, and iteratively refined. The research places a strong emphasis on co-creation, capacity building, and comprehensive communication and dissemination.

Smokeless Tobacco Use and Quit Behaviour Assessment in a Middle Aged to Elderly Population in a Rural Setting - An Evaluative Study.

INTRODUCTION: Expanding knowledge on tobacco use and quitting outcomes in Chhattisgarh, India, is crucial. Limited data hinder the assessment of tobacco use prevalence and quitting outcomes in the region. This household-based cross-sectional study aimed to assess smokeless tobacco (SLT) use and quit behaviour among village dwellers aged 35-44 and 65-74 years in Jamul, Chhattisgarh. MATERIALS AND METHODS: A survey was conducted among 450 participants, utilising a pretested questionnaire and data analysis using IBM Statistical Package for the Social Sciences (SPSS) v23. RESULTS: The study revealed that among the survey participants, 61.1% were males and 38.9% were females. The prevalence of SLT use was found to be 67.8%, with 59.1% of current SLT users reporting daily use. Middle-aged individuals predominantly chose gutkha, while khaini was more common among the elderly. Tobacco and paan with tobacco were also commonly used forms. Gudakhu, a popular SLT product for oral hygiene and easy defecation, was reported by 71.34% of participants. Television warnings and SLT packages proved to be successful methods for disseminating information about the dangers of SLT use. However, SLT users who attempted to quit independently reported encountering one or more withdrawal symptoms, which posed significant obstacles to quitting SLT. CONCLUSION: Community-based awareness programmes are implemented via regional television (TV) channels, coupled with cessation initiatives, including professional counselling, pharmaceutical interventions and support of peer. Changing attitudes against SLT use and promoting tobacco-free environments are prioritized. These strategies will effectively address SLT use and improve quitting outcomes in Jamul, Chhattisgarh, fostering a healthier community.

Intention to Quit Tobacco due to Media Advertisements in India: Findings from Global Adult Tobacco Survey 2016-17.

BACKGROUND: Tobacco has been among the most important causes of morbidity and mortality worldwide. In reducing tobacco consumption, media campaigns are crucial in raising awareness and encouraging individuals to quit. The present study aimed to profile participants of GATS-2, including tobacco usage patterns and media exposure, and explore the factors associated with quitting in the presence of media exposure. METHODS: Secondary data analysis of Global Adult Tobacco Survey-India (2016-17) data was done among current daily cigarette smokers and smokeless tobacco users. The primary independent variable was an intention to quit, while media exposure was the primary independent variable. Respondents were profiled as per various socio-demographic variables, and exposure to media advertisements and intention to quit were assessed using weighted bivariate analysis and multivariate log regression analysis. RESULTS: Males, and respondents aged 15 to 45, had more exposure to media and advertisements than female respondents. Cigarette smokers with moderate consumption, better awareness, those who had made any quit attempts in the last 12 months, and moderate to high media exposure depicted better intention to quit. In SLT users, intention to quit depicted significant odds per education level quit attempts and exposure to media and advertisements. CONCLUSION: We report a high intention to quit among those exposed to advertisements. Media campaigns play an important role in promoting tobacco control. There is a need to assess the impact of such advertisements on behavioral aspects. At the same time, comprehensive tobacco control policies should go hand in hand in reducing smoking rates.

Prevalence of Obesity Among Electronic Cigarette and Tobacco Users in the United States: Results from the 2018 Wave of the Behavioral Risk Factor Surveillance System.

Objective: Tobacco use and obesity are leading causes of preventable death in the U.S. E-cigarette use is on the rise; however, obesity prevalence among e-cigarette users is unknown. The present study characterized obesity prevalence among e-cigarette and tobacco users in a national sample of U.S. adults. Method: Data were obtained from the 2018 Behavioral Risk Factor Surveillance System. Approximately 249,726 participants provided data on e-cigarette and tobacco use, height, weight, and demographics, and were categorized as follows: Ever vaped, ever smoked; Ever vaped, never smoked; Never vaped, ever smoked; Never vaped, never smoked. Results: Obesity prevalence (BMI ≥30 kg/m2) differed significantly across groups: 33.0% (ever vaped, ever smoked); 27.7% (ever vaped, never smoked); 33.1% (never vaped, ever smoked); 32.1% (never vaped, never smoked), p < .001. Groups also differed demographically. Logistic regressions adjusted for demographics revealed subjects in the never vaped, ever smoked group were significantly more likely to have obesity relative to those in the never vaped, never smoked group (p < 0.001) with vaping status having no main effect. Secondary analyses using never smokers as the reference found current smokers were less likely to have obesity and former smokers were more likely to have obesity, p < .001. Discussion: The present study is the first to characterize U.S. obesity prevalence among e-cigarette and tobacco users. Obesity prevalence was lower in the ever vaped, never smoked group; however, this finding appears to be attributable to demographic variables. As e-cigarette use becomes more common, future research should examine the development and maintenance of obesity among users.