METHODS: We analysed Demographic and Health Survey data on tobacco use collected from large nationally representative samples of men and women in 54 LMICs. We estimated the weighted prevalence of any current tobacco use (including smokeless tobacco) in each country for 4 educational groups and 4 wealth groups. We calculated absolute and relative measures of inequality, that is, the slope index of inequality (SII) and relative index of inequality (RII), which take into account the distribution of prevalence across all education and wealth groups and account for population size. We also calculated the aggregate SII and RII for low-income (LIC), lower-middle-income (lMIC) and upper-middle-income (uMIC) countries as per World Bank classification.
FINDINGS: Male tobacco use was highest in Bangladesh (70.3%) and lowest in Sao Tome (7.4%), whereas female tobacco use was highest in Madagascar (21%) and lowest in Tajikistan (0.22%). Among men, educational inequalities varied widely between countries, but aggregate RII and SII showed an inverse trend by country wealth groups. RII was 3.61 (95% CI 2.83 to 4.61) in LICs, 1.99 (95% CI 1.66 to 2.38) in lMIC and 1.82 (95% CI 1.24 to 2.67) in uMIC. Wealth inequalities among men varied less between countries, but RII and SII showed an inverse pattern where RII was 2.43 (95% CI 2.05 to 2.88) in LICs, 1.84 (95% CI 1.54 to 2.21) in lMICs and 1.67 (95% CI 1.15 to 2.42) in uMICs. For educational inequalities among women, the RII varied much more than SII varied between the countries, and the aggregate RII was 14.49 (95% CI 8.87 to 23.68) in LICs, 3.05 (95% CI 1.44 to 6.47) in lMIC and 1.58 (95% CI 0.33 to 7.56) in uMIC. Wealth inequalities among women showed a pattern similar to that of men: the RII was 5.88 (95% CI 3.91 to 8.85) in LICs, 1.76 (95% CI 0.80 to 3.85) in lMIC and 0.39 (95% CI 0.09 to 1.64) in uMIC. In contrast to men, among women, the SII was pro-rich (higher smoking among the more advantaged) in 13 of the 52 countries (7 of 23 lMIC and 5 of 7 uMIC).
INTERPRETATION: Our results confirm that socioeconomic inequalities tobacco use exist in LMIC, varied widely between the countries and were much wider in the lowest income countries. These findings are important for better understanding and tackling of socioeconomic inequalities in health in LMIC.
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.
DESIGN: A Stock-and-Flow simulation model was used to project smoking prevalence and mortality from 2018 to 2050 under eight different scenarios: (1) maintaining the 2018 status quo, (2) implementation of smoke-free policies, (3) tobacco use cessation programmes, (4-5) health warning about the dangers of tobacco (labels, mass media), (6) enforcement of tobacco advertising bans or (7) tobacco taxation at the highest recommended level and (8) all these interventions combined.
RESULTS: Under the status quo, the smoking prevalence in Japan will decrease from 29.6% to 15.5% in men and 8.3% to 4.7% in women by 2050. Full implementation of MPOWER will accelerate this trend, dropping the prevalence to 10.6% in men and 3.2% in women, and save nearly a quarter million deaths by 2050. This reduction implies that Japan will only attain the current national target of 12% overall smoking prevalence in 2033, 8 years earlier than it would with the status quo (in 2041), a significant delay from the national government's 2022 deadline.
CONCLUSIONS: To bring forward the elimination of tobacco smoking and substantially reduce smoking-related deaths, the government of Japan should fulfil its commitment to the FCTC and adopt stringent tobacco control measures delineated by MPOWER and beyond.
MATERIALS AND METHODS: A cross-sectional study was done among 253 children of 5-, 12-, and 15-year-olds living in various orphanage houses of Selangor, Kuala Lumpur, Malaysia. Demographic data, and dietary and oral hygiene practices were collected through a structured questionnaire. Clinical examinations of children were conducted to assess oral health status and recorded in the World Health Organization oral health assessment form (1997). Stimulated saliva was collected for S. mutans and Lactobacilli levels. The statistical software, namely, Statistical Package for the Social Sciences version 19.0 was used for the analysis of the data.
RESULTS: The final data analysis included 253 children of which 116 (45.8%) were boys and 137 (54.2%) were girls. Overall, 140 (55.33%) children were caries-free and 113 (44.66%) children presented with caries (decayed/missing/filled surface >0). High levels of salivary microbiological counts (S. mutans and Lactobacilli), i.e., ≥105, stress the importance of necessary preventive oral health services. Treatment needs among orphan children showed that most of the children, i.e., 58 (22.9%), need preventive or caries-arresting care followed by 49 (19.4%) who require two-surface filling as an immediate measure.
CONCLUSION: From the results of our study, orphan children have low utilization of preventive and therapeutic oral health services. Urgent attention is required to plan a comprehensive dental health-care program to improve their oral health status.
CLINICAL SIGNIFICANCE: Parents are the primary caretakers of children, but woefully some of them have to lead their lives without parents, the latter either being dead or incapable of bringing up their children. Such a group of children is known as orphans. As oral health is an integral part of general health, it is essential for health-care policy makers to address oral health needs of this underprivileged group of society. This article highlights the risk factors and treatment needs among orphan schoolchildren.
OBJECTIVE: To assess and compare the RQoL of the occupationally exposed (firefighters and traffic police) and the occupationally unexposed populations in Penang, Malaysia.
METHODS: We recruited male traffic police and firefighters from 5 districts of Penang by convenient sampling during June to September 2018. Participants completed the SGRQ. Scores (symptoms, activity, impacts, total) were derived using a scoring calculator. Higher scores indicate poorer RQoL. Univariate and multivariate linear regression models were fitted to explore the relationship of the independent predictive factors with participants' RQoL.
RESULTS: We recruited 706 participants---211 firefighters, 198 traffic police, and 297 from general population. Smokers had significantly higher scores than non-smokers in all SGRQ domains. Regardless of smoking status, the "occupationally exposed group" had higher symptoms score than the "occupationally unexposed group," who had higher activity and impact scores. Smoking status, comorbidity status and monthly income were significant independent predictors of SGRQ total score.
CONCLUSION: In comparison with the general population, firefighters and traffic police reported poorer RQoL; smoking further deteriorated their respiratory health. There is a need to strengthen preventive health measures against occupational disease and smoking cessation among firefighters and traffic police.