METHODS: This scoping review intended to investigate published studies on the current prevalence and incidence of oral cancer in LMICs. The review was conducted applying the search words "Oral Cancer" and "Mouth neoplasm" as the Medical Subject Heading (MeSH) major topic and "Epidemiology" and ("prevalence" OR "incidence") as the MeSH subheading; the search was supplemented by cross-references. Included studies met the following criteria: original studies, reporting of prevalence or incidence rates, population-based studies, studies in English language and studies involving humans.
RESULTS: The sample sizes ranged from 486 to 101,761 with 213,572 persons included. Buccal mucosa is one of the most common sites of oral cancer, associated with the widespread exposure to chewing tobacco. The incidence is likely to rise in the region where gutkha, pan masala, pan-tobacco and various other forms of chewing tobacco are popular.
CONCLUSION: This review contributes to useful information on prevalence and incidence estimates of oral cancer in LMICs.
METHODS: A historical review of official reports, news articles, and gray literature was undertaken to identify tobacco industry tactics and strategies to hamper government efforts in implementing stronger pictorial health warning regulations in four Asian jurisdictions (Cambodia, Hong Kong, Malaysia, and the Philippines).
RESULTS: Nineteen countries/jurisdictions in the WHO Western Pacific region currently require pictorial health warnings on cigarette packs, including some of the world's largest, in line with the WHO Framework Convention on Tobacco Control Article 11 Guidelines. In the four jurisdictions examined, tobacco industry interference consisted of lobbying and misinformation of high-level government officers and policy-makers, distributing industry-friendly legislative drafts, taking government to court, challenging government timelines for law implementation, and mobilizing third parties. Strong political leadership and strategic advocacy enabled governments to successfully overcome this industry interference.
CONCLUSION: The tobacco industry uses similar tactics in different jurisdictions to derail, delay, and weaken the implementation of effective health warning policies. Identifying and learning from international experiences can help anticipate and defeat such challenges.
DESIGN: Use of the International Tobacco Control Policy Evaluation Project surveys of smokers, using the 2007 survey wave (or later, where necessary).
SETTINGS: Australia, Canada, China, France, Germany, Ireland, Malaysia, Mexico, the Netherlands, New Zealand, South Korea, Thailand, United Kingdom, Uruguay and United States.
PARTICIPANTS: Samples of smokers from 15 countries.
MEASUREMENTS: Self-report on use of cessation aids and on visits to health professionals and provision of cessation advice during the visits.
FINDINGS: Prevalence of quit attempts in the last year varied from less than 20% to more than 50% across countries. Similarly, smokers varied greatly in reporting visiting health professionals in the last year (<20% to over 70%), and among those who did, provision of advice to quit also varied greatly. There was also marked variability in the levels and types of help reported. Use of medication was generally more common than use of behavioural support, except where medications are not readily available.
CONCLUSIONS: There is wide variation across countries in rates of attempts to stop smoking and use of assistance with higher overall use of medication than behavioural support. There is also wide variation in the provision of brief advice to stop by health professionals.
Methods: A cross-sectional survey included 3353 university students from Indonesia, Malaysia, Myanmar, Thailand and Vietnam, median age 20 years (interquartile range 3 years).
Results: In all five ASEAN countries, the study found a prevalence no soft drink consumption in the past 30 days of 20.3%, less than one time a day 44.7%, once a day 25.4% and two or more times a day 9.6%. In the adjusted logistic regression analysis, higher frequency of soft drink consumption (one and/or two or more times a day) was associated with externalizing behaviour (in physical fight, injury, current tobacco use, problem drinking, drug use, pathological internet use and gambling behaviour), and higher frequency of soft drink consumption (two or more times a day) was associated with depression in females, but no association was found for the general student population in relation to internalizing behaviour (depression, posttraumatic stress disorder, suicidal ideation, suicide plan, suicide attempt and sleeping problem).
Conclusions: Findings suggest that carbonated soft drink consumption is associated with a number of externalizing but not internalizing health risk behaviours.
METHODS: Methadone-maintained therapy (MMT) users from three centers in Malaysia had their exhaled carbon monoxide (eCO) levels recorded via the piCO+ and iCOTM Smokerlyzers®, their nicotine dependence assessed with the Malay version of the Fagerström Test for Nicotine Dependence (FTND-M), and daily tobacco intake measured via the Opiate Treatment Index (OTI) Tobacco Q-score. Pearson partial correlations were used to compare the eCO results of both devices, as well as the corresponding FTND-M scores.
RESULTS: Among the 146 participants (mean age 47.9 years, 92.5% male, and 73.3% Malay ethnic group) most (55.5%) were moderate smokers (6-19 cigarettes/day). Mean eCO categories were significantly correlated between both devices (r=0.861, p<0.001), and the first and second readings were significantly correlated for each device (r=0.94 for the piCO+ Smokerlyzer®, p<0.001; r=0.91 for the iCOTM Smokerlyzer®, p<0.001). Exhaled CO correlated positively with FTND-M scores for both devices. The post hoc analysis revealed a significantly lower iCOTM Smokerlyzer® reading of 0.82 (95% CI: 0.69-0.94, p<0.001) compared to that of the piCO+ Smokerlyzer®, and a significant intercept of -0.34 (95% CI: -0.61 - -0.07, p=0.016) on linear regression analysis, suggesting that there may be a calibration error in one or more of the iCOTM Smokerlyzer® devices.
CONCLUSIONS: The iCOTM Smokerlyzer® readings are highly reproducible compared to those of the piCO+ Smokerlyzer®, but calibration guidelines are required for the mobile-phone-based device. Further research is required to assess interchangeability.
Aims: This study aimed to explore the general public's perception toward electronic cigarette use. Public support toward electronic cigarette regulation was also examined.
Settings and Design: This was a Malaysian population-based survey.
Materials and Methods: Data were obtained from the National E-Cigarette Survey (NECS) 2016, which used a multistage stratified cluster sampling household survey representing all Malaysian adults aged 18 years old. A cross-sectional survey was conducted among a total of 4288 adults.
Statistical Analysis Used: Descriptive and logistic regression analysis.
Results: Majority were aged 25-44 years old (44%), completed at least secondary education (69%), of Malay ethnicity (73%), and married (68%). Majority (88.1%) have never used electronic cigarette. A quarter (25.5%) perceived electronic cigarette helps people quit cigarette smoking, whereas 20.3% perceived electronic cigarette helps people to maintain cigarette abstinence. Approximately 85% believed that electronic cigarette use does not help in improving breathing and coughing. Majority (91.8%) disagreed that electronic cigarettes should be allowed in places where tobacco smoking is banned. Thus, 63.4% agreed that electronic cigarette should be banned completely rather than regulated.
Conclusion: Majority of general public had negative perception about electronic cigarette use.
METHODS: Data were derived from the Global School-Based Student Health Survey (GSHS). Data from 71176 adolescents aged 12-15 years residing in 23 countries were analyzed. The Centers for Disease Control and Prevention (CDC) 2000 growth charts were used to identify underweight, normal weight, and overweight/ obesity. Weighted age- and gender-adjusted prevalence of weight categories and tobacco use was calculated. Multivariate logistic regression analysis was performed to estimate the association between weight categories and tobacco use for each country, controlling for covariates. Pooled odds ratios and confidence intervals were computed using random- or fixed-effects meta-analyses.
RESULTS: A significant association between weight categories and tobacco use was evident in only a few countries. Adolescents reporting tobacco use in French Polynesia, Suriname, and Indonesia, had 72% (95% CI: 0.15-0.56), 55% (95% CI: 0.24-0.84), and 24% (95% CI: 0.61-0.94) lower odds of being underweight, respectively. Adolescents reporting tobacco use in Uganda, Algeria, and Namibia, had 2.30 (95% CI: 1.04-5.09), 1.71 (95% CI: 1.25-2.34), and 1.45 (95% CI: 1.00-2.12) times greater odds of being overweight/obese, but those in Indonesia and Malaysia had 33% (95% CI: 0.50-0.91) and 16% (95% CI: 0.73-0.98) lower odds of being overweight/obese.
CONCLUSIONS: The association between tobacco use and BMI categories is likely to be different among adolescents versus adults. Associating tobacco use with being thin may be more myth than fact and should be emphasized in tobacco prevention programs targeting adolescents.