METHODS: From the list of movies released during 2015-2019, we selected the top 10 movies per year rated by the Malaysian Film Development Corporation. Two researchers coded tobacco imagery in each movie considering 5-minute time intervals as a unit. The 5-minute interval coding was adopted from previous research for comparability. Frequencies and the average occurrence of tobacco imagery were compared by movie language, genre, and age categorization.
RESULTS: In 50 movies analyzed, there were a total of 1037 five-minute intervals of which 26 (52%) movies and 277 (26.7%) of intervals tobacco imagery were present. Brand appearances were absent and health warnings about tobacco use were present in just one movie. The proportions of intervals containing actual use, paraphernalia, and implied use were 63.5%, 22.0%, and 14.5%. Tobacco imagery of actual use, paraphernalia, and implied use was present in 25, 20, and 10 movies, respectively. In those movies with tobacco imagery, the average number of occurrences of actual use, paraphernalia, and implied use was 3 (interquartile range [IQR] 2-11.5), 2.5 (IQR 1.3-4.0), and 1 (IQR 1-4), respectively. Movies classified as "p13" (median 6, IQR 6-13) and "18" (median 5, IQR 0-15) had higher average occurrences of tobacco imagery than "U" movies (median 0, IQR 0-2; p = .028).
CONCLUSIONS: The lack of health warnings despite the presence of tobacco imagery in Malaysian movies calls for measures to regulate tobacco-related content and reclassify such movies as "for adults-only."
IMPLICATIONS: Tobacco imagery was prevalent in Malaysian movies that are allowed viewing by individuals aged 13 years and above. A review of the age categorization of Malaysian movies and the placement of health warnings in movies is needed. A comprehensive implementation of the ban on tobacco advertisements, promotion, and sponsorship should also include a ban on tobacco imagery in movies.
MATERIALS AND METHODS: The study consisted of qualitative, semi-structured Focus Group Discussions (for students, n = 23) and in-depth interviews (for patients, n = 9); to phenomenologically describe the perceptions of participants involved in the VC. Each session was recorded with the participants' permission. The recorded session was transcribed verbatim and thematically analysed using the qualitative data analysis software, NVivo™.
RESULTS: The major themes that emerged were: (1) General opinions and experiences, (2) Content of VCs, (3) Remote access to counselling, (4) Patient-clinician relationships, (5) Technical issues, (6) Changes after VCs, and (7) Future application. Most students and patients were quite comfortable with VC as it is convenient, allowing students to be creative and avoid the hassle of transport and traffic. However, some of the students felt that it lacked the personal touch and guidance from lecturers who would normally be present during physical class.
CONCLUSION: Virtual counselling enables remote access to counselling, but it is also subjected to some limitations, especially regarding lack of clinical assessments, human touch and internet issues. Though participants were optimistic about adapting it in the future, multiple factors must be considered. Ultimately, the behavioural change will depend on the patient's motivation in making a difference.
METHODS: Data were obtained from the Global Youth Tobacco Survey Timor-Leste. Ordered logistic regressions were used to examine the associations between knowledge of smoking and sociodemographic, and lifestyle factors. Structural equation modelling was utilized to explore the mediating effects.
RESULTS: Adolescents were less likely to have high knowledge of smoking if they were lower-secondary students, were males, had unemployed parents and had no closest friends who smoked. The relationship between grade levels and smoking knowledge was partly mediated by awareness of anti-tobacco messages on mass media, school education about the dangers of smoking and family discussion about smoking.
CONCLUSIONS: Sociodemographic and lifestyle factors play an important role in determining knowledge of smoking among adolescents. To some extent, awareness-, education- and family-related variables explain how grade levels affect smoking knowledge.
AIMS AND METHODS: Global Youth Tobacco Survey (GYTS)s from Georgia, Iraq, Italy, Latvia, Montenegro, Paraguay, Peru, Qatar, Romania, and San Marino were analyzed. Changes in prevalence of "awareness of e-cigarettes," "ever use" (even tried a few puffs) and "current use" (during last 30 days) of e-cigarettes and cigarette smoking, and "dual use" (both e-cigarette and cigarette smoking) between baseline (2013 and 2014) and most recent (2017-2019) surveys were estimated.
RESULTS: "Awareness of e-cigarettes" and "ever e-cigarette use" significantly increased (p 50% in most countries. During the most recent surveys, "current e-cigarette" use was > 10% in five countries Italy (18.3%) and Latvia (18.5%) being the highest. Cigarette smoking significantly declined in Italy, Latvia, Peru, and San Marino (p tobacco use among youths and comprehensive tobacco control policies inclusive of e-cigarettes are needed.
IMPLICATIONS: Secondary data analyses of serial GYTSs in 10 countries showed that both awareness of e-cigarette and e-cigarette use has increased among school-going youth aged 13-15 years. A concurrent increase in "dual use" of e-cigarettes and cigarette smoking during the last 30 days in all 10 countries indicates continued cigarette smoking in the absence of e-cigarettes because of the common risk construct of tobacco product use. Results call for continued surveillance of both e-cigarettes and cigarette smoking among school-going youth. Comprehensive tobacco control measures inclusive of e-cigarettes should be implemented to reduce tobacco use among the youth.
METHODS: A study involving two groups of current smokers (commissioned officers and non-commissioned officers) was conducted using the modified nominal group technique (mNGT), a qualitative research method of judgmental decision-making involving four phases: Generating ideas, recording, evaluation, and prioritization. The mNGT was used to solicit respondents' barriers to smoking cessation.
RESULTS: The mNGT yielded seven main barriers to smoking cessation: (1) Addiction, (2) difficulty in staying focused without the usage of cigarettes, (3) smoking has been incorporated into an individual's lifestyle, (4) environmental influence, (5) coping mechanism, (6) the long-interval period between orders and duties exacerbates the desire to smoke, and (7) smoking has evolved into a permanent habit. Although nicotine addiction and habit were ranked as the most important barriers, the military working environment and nature of the job exposed them physically and mentally to unfavorable situations, complicating the quitting attempt. Furthermore, the acceptance of smoking in military culture leads to a positive smoker identity, further hindering cessation.
CONCLUSIONS: The findings indicate that in addition to barriers affecting the general population, military-specific barriers related to the nature of the job exist, complicating cessation. Hence, any intervention program should address these barriers to achieve positive outcomes.
METHODS: Waterpipe users, cigarette smokers, and never smokers were included. Demographic details were collected using a questionnaire. Characteristics of implants (dimensions, jaw location, depth of placement, insertion torque, and duration in function) were recorded. Peri-implant modified plaque and gingival indices (mPI and mGI), probing depth (PD), and crestal bone loss (CBL) were recorded in all groups. Volume of PISF and levels of AGEs were determined using standard techniques. Sample-size estimation was done on data from a pilot investigation, and correlation between clinicoradiographic and immunoinflammatory parameters was assessed using logistic regression models. Probability values tobacco products on oral health.
OBJECTIVE: To analyze the total and risk-attributable burden of lip and oral cavity cancer (LOC) and other pharyngeal cancer (OPC) for 204 countries and territories and by Socio-demographic Index (SDI) using 2019 Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study estimates.
EVIDENCE REVIEW: The incidence, mortality, and disability-adjusted life years (DALYs) due to LOC and OPC from 1990 to 2019 were estimated using GBD 2019 methods. The GBD 2019 comparative risk assessment framework was used to estimate the proportion of deaths and DALYs for LOC and OPC attributable to smoking, tobacco, and alcohol consumption in 2019.
FINDINGS: In 2019, 370 000 (95% uncertainty interval [UI], 338 000-401 000) cases and 199 000 (95% UI, 181 000-217 000) deaths for LOC and 167 000 (95% UI, 153 000-180 000) cases and 114 000 (95% UI, 103 000-126 000) deaths for OPC were estimated to occur globally, contributing 5.5 million (95% UI, 5.0-6.0 million) and 3.2 million (95% UI, 2.9-3.6 million) DALYs, respectively. From 1990 to 2019, low-middle and low SDI regions consistently showed the highest age-standardized mortality rates due to LOC and OPC, while the high SDI strata exhibited age-standardized incidence rates decreasing for LOC and increasing for OPC. Globally in 2019, smoking had the greatest contribution to risk-attributable OPC deaths for both sexes (55.8% [95% UI, 49.2%-62.0%] of all OPC deaths in male individuals and 17.4% [95% UI, 13.8%-21.2%] of all OPC deaths in female individuals). Smoking and alcohol both contributed to substantial LOC deaths globally among male individuals (42.3% [95% UI, 35.2%-48.6%] and 40.2% [95% UI, 33.3%-46.8%] of all risk-attributable cancer deaths, respectively), while chewing tobacco contributed to the greatest attributable LOC deaths among female individuals (27.6% [95% UI, 21.5%-33.8%]), driven by high risk-attributable burden in South and Southeast Asia.
CONCLUSIONS AND RELEVANCE: In this systematic analysis, disparities in LOC and OPC burden existed across the SDI spectrum, and a considerable percentage of burden was attributable to tobacco and alcohol use. These estimates can contribute to an understanding of the distribution and disparities in LOC and OPC burden globally and support cancer control planning efforts.
DESIGN: Cross-sectional.
SETTING: 14 countries.
PARTICIPANTS: Surveyed population ≥15 years selected through multi-stage cluster sampling.
PRIMARY AND SECONDARY OUTCOME MEASURES: We selected 14 countries from 6 different WHO regions where GATS was conducted in different years during 2011-2017.
RESULTS: Awareness and usage of e-cigarette were highest in Greece and lowest in India. Females were less aware of e-cigarette across ages. The gender gap in awareness is wide in Greece post 50 years of age, while the gap is distinct in early ages in Kazakhstan and Qatar. The gender difference in use of e-cigarette was negligible in most of the countries except among the younger cohorts of Russia, Philippines Malaysia and Indonesia. Relatively higher prevalence of e-cigarette smoking among females in the older adult age was observed in some of the Asian countries like India. Multivariate analysis indicates that those who were younger, male, residing in urban areas, current tobacco smokers were more likely to use e-cigarette than their counterparts. Though prevalence of e-cigarette use increased with wealth and education, such pattern is not strong and consistent. Promotional advertisement plays important role in higher use of e-cigaratte. The predicted national prevalence of e-ciragette use was highest in Malaysia .
CONCLUSIONS: E-cigarette use is more among urban adults, current smokers, males and in countries with promotional advertisement of e-cigarette. Area specific interventions are needed to understand the nature of e-cigarette use. Russia, Ukraine, Costa Rica and Mexico need better understanding to explore whether e-cigaratte use is an indulgence to new mode of addiction, as youth being highly likely to adopt this practice.
METHODS: We examined e-cigarette market data from the Euromonitor Global Market Information Database (GMID) Passport database, searched in the academic literature, grey literature and news archives for any reports or studies of e-cigarette related diseases or injuries, e-cigarette marketing, and e-cigarette policy responses in Southeast Asian countries, and browsed the websites of online e-cigarette retailers catering to the region's active e-cigarette markets.
RESULTS: In 2019, e-cigarettes were sold in six Southeast Asian markets with a total market value of $595 million, projected to grow to $766 million by 2023. E-commerce is a significant and growing sales channel in the region, with most of the popular or featured brands in online shops originating from China. Southeast Asian youth are targeted with a wide variety of flavours, trendy designs and point of sale promotions, and several e-cigarette related injuries and diseases have been reported in the region. Policy responses vary considerably between countries, ranging from strict bans to no or partial regulations.
CONCLUSION: Although Southeast Asia's e-cigarette market is relatively nascent, this is likely to change if transnationals invest more heavily in the region. Populous countries with weak e-cigarette regulations, notably Indonesia, Malaysia, Vietnam and the Philippines, are desirable targets for the transnationals. Regulatory action is needed to prevent e-cigarette use from becoming entrenched into these societies, especially among young people.
METHODS: Oral swab samples were collected from smokers, smokeless tobacco users, and healthy controls (n = 44). Microbial DNA was extracted and the 16S rRNA gene profiled using the Illumina MiSeq platform. Sequencing reads were processed using DADA2, and taxonomical classification was performed using the phylogenetic placement method. Differentially abundant taxa were identified using DESeq2, while functional metagenomes based on KEGG orthology abundance were inferred using LIMMA.
RESULTS: A significantly higher microbial diversity was observed in smokeless tobacco users and smokers relative to controls (P tobacco users. Levels of Fusobacterium spp., Saccharibacterium spp., and members of Shuttleworthia were elevated in smokers when compared to controls (BH adj P tobacco users relative to controls (BH adj P tobacco users relative to both controls, and smokers were similar and involved amino acid metabolism including glutamate and aspartate biosynthesis and degradation (log FC > 1.5; BH adj P tobacco users as compared to healthy controls implicates a significant role of microbes and their metabolites in diseases associated with tobacco use including oral cancer.
CLINICAL RELEVANCE: Future efforts in preventive, diagnostic, curative, and prognostic strategies for diseases associated with tobacco use in smokers and smokeless tobacco users could incorporate the oral microbiome.
METHODS: We analyzed school-based Global Youth Tobacco Survey (2014-2019) microdata from 18 WPR countries and estimated weighted prevalence rates of ST consumption, cigarette smoking, and dual use. We used multilevel binary logistic regression to examine the associations of ST consumption and dual use with demographic variables, exposure to pro-tobacco and anti-tobacco factors, national income, and MPOWER indicators.
RESULTS: Data from 58,263 school-going youth were analyzed. The prevalence of past 30-day ST consumption was highest in Kiribati (42.1%), the Marshall Islands (26.1%), Micronesia (21.3%), Palau (16.0%), and Papua New Guinea (15.2%). In adjusted multilevel models, ST consumption and dual use were significantly associated with sex, age, parental smoking, pro-tobacco factors, national income, and MPOWER score. For each unit increase in score for cessation programs, we observed approximately 1.4-fold increases in the odds of youth ST consumption (adjusted odds ratio [aOR], 1.38; 95% confidence interval [CI], 1.15 to 1.66) and dual use (aOR, 1.47; 95% CI, 1.16 to 1.86). Similarly, for each unit increase in score for health-related warnings, the odds of both ST consumption (aOR, 0.47; 95% CI, 0.42 to 0.53) and dual use (aOR, 0.35; 95% CI, 0.30 to 0.42) decreased by approximately 60%.
CONCLUSIONS: The prevalence of youth ST consumption was substantial in the Pacific Islands, exceeding that of cigarette smoking in some countries. Implementing MPOWER measures for ST products could help reduce ST consumption.