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.
METHODS: A life table model was constructed using published Malaysian demographic and mortality data. Our analysis was limited to male smokers due to the low smoking prevalence in females (1.1%). Male smokers aged 15-64 years were followed up until 65 years or until death. The population attributable risk, health-related quality of life decrements and relative reduction in productivity due to smoking were sourced from published data. The analysis was repeated assuming the cohorts were never smokers, and the differences in outcomes represented the health and productivity burden conferred by smoking. The cost of productivity loss was estimated based on the gross domestic product per equivalent full-time worker in Malaysia.
RESULTS: Tobacco use is highly prevalent among working-age males in Malaysia, with 4.2 million (37.5%) daily smokers among men aged between 15 and 64 years. Overall, our model estimated that smoking resulted in the loss of over 2.1 million life years (2.9%), 5.5 million (8.2%) quality-adjusted life years (QALYs) and 3.0 million (4.8%) PALYs. Smoking was estimated to incur RM275.3 billion (US$69.4 billion) in loss of productivity.
CONCLUSION: Tobacco use imposes a significant public health and economic burden among working-age males in Malaysia. This study highlights the need of effective public health interventions to reduce tobacco use.
METHODS: A nationally representative survey was employed in 900 elementary, junior high, and senior high schools that were located in 60 regions or 24 provinces of Indonesia. Each school's compliance with SFZ parameters was measured using a closed-ended questionnaire. The dataset was analyzed using frequency distribution, while the chi-square was performed to analyze the measurement effect of each parameter for SFZ compliance.
RESULTS: Java Island is the region with the largest proportion of school units (10%) studied in this study, and the largest group of the schools are high schools (36.1%). In terms of SFZ compliance, 413 (45.9%) of schools had perfect compliance scores of 8, followed by 183 schools (20.3%) with a score of 7 and 107 (11.9%) with a score of 6. It was found that parameter 5, namely cigarette butts found in the school environment, had the largest proportion when a school did not apply SFZ. Cigarette butts were found in 261 (29.0%) schools. Cigarette butts found in schools contributed 7.8 times to not applying SFZ compared to schools where no cigarette cutters were found.
CONCLUSION: Although the SFZ compliance rate in Indonesian schools is 66.2% at least on 7 of 8 existed parameters, this means most of schools still aren't fully complying with the regulations for SFZs. This recent evidence will help decisionmakers to enforce tobacco control, particularly among youth, which form the pillar of national development.
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MATERIALS AND METHODS: A cross sectional study was conducted on 346 randomly selected adult males. Multi-stage random sampling was used to select the study location. After completing the structured questionnaire interviews, all the participants underwent clinical exanimation for screening of oral leukoplakia-like lesions Clinical features of oral leukoplakia-like lesion were characterized based on the grades of Axell et al (1976). Univariable logistic regression and multivariable logistic regression were used to assess the potential associated factors.
RESULTS: Out of 346 male participants aged 18 years and older, 68 (19.7%) reported being current shammah users. The multivariable analysis revealed that age, non-formal or primary level of education, former shammah user, current shammah user, and frequency of shammah use per day were statistically associated with the presence of oral leukoplakia-like lesions [Adjusted odds ratio (AOR) = 1.03; 95% confidence interval (CI) : 1.01, 1.06; P= 0.006], (AOR= 8.65; 95% CI: 2.81, 26.57; P= 0.001), (AOR= 3.65; 95% CI: 1.40, 9.50; P= 0.008), (AOR= 12.99; 95% CI: 6.34, 26.59; P= 0.001), and (AOR= 1.17; 95% CI: 1.02, 1.36; P= 0.026), respectively.
CONCLUSIONS: The results revealed oral leukoplakia-like lesions to be significantly associated with shammah use. Therefore, it is important to develop comprehensive shammah prevention programs in Yemen.
METHODS: Score sheet based on WHO FCTC Article 5.3 Guidelines sent to correspondents in seven Southeast Asian countries, using a scoring system designed with the help of tobacco control experts and validated through focused group discussions.
RESULTS: The seven countries ranked from the lowest level of interference to the highest are Brunei, Thailand, Lao PDR, Cambodia, Philippines, Malaysia and Indonesia. Countries that face high levels of unnecessary interaction with the tobacco industry also face high levels of tobacco industry influence in policy development. Most governments do not allow any tobacco industry representatives on their delegation to sessions of the Conference of the Parties or its subsidiary bodies nor accept their sponsorship for delegates, but most governments still accept or endorse offers of assistance from the tobacco industry in implementing tobacco control policies. Most governments also receive tobacco industry contributions (monetary or in kind) or endorse industry corporate social responsibility activities. Governments do not have a procedure for disclosing interactions with the tobacco industry, but Lao PDR, Philippines and Thailand have instituted measures to prevent or reduce industry interference.
CONCLUSIONS: This Tobacco Industry Interference Index, based on the WHO FCTC Article 5.3 Guidelines, is a useful advocacy tool for identifying both progress and gaps in national efforts at implementing WHO FCTC Article 5.3.