METHODS: This paper use tobacco data and Macroeconomics Indicators from Euromonitor International and World Bank Data. We extend linear regression models by controlling both the serial correlation and endogeneity bias problems. We also observe the properties in the ARMA(2,2) data generating process.
RESULTS: We document that tobacco tends to affect the USA's future economy but not Indonesia. In our robustness check, we conduct a SUR analysis to control the contemporaneous correlations among Asian markets. We further document that tobacco variables tend not to affect the economy in the Asian markets.
CONCLUSION: Our results show that the contribution of tobacco commodity to the economy is overstated. Therefore, the comprehensive and massive tobacco control implementations should be undertaken hence is relevant to put into actions.
METHODS: This study employs a rigorous gap analysis to measure the size of the illicit cigarette trade in Malaysia and compare it with the industry estimates.
FINDINGS: We found that in 2019, the illicit cigarette market share ranged from 38.2% to 52.5%, depending on assumptions with respect to consumption under-reporting, which is substantially less than the industry estimates. We found that the size of the illicit cigarette market was not driven by higher excise tax: doubling the excise tax rate from RM0.20 to RM0.40 per stick in November 2015 resulted in only a slight increase in the illicit cigarette market share and no increase in the number of illicit cigarettes in the market.
CONCLUSIONS: Therefore, a reduction in cigarette excise taxes, as suggested by the industry, will not solve the problem of illicit cigarette trade in Malaysia. Instead, the government should ratify the Framework Convention on Tobacco Control's Protocol to Eliminate Illicit Trade in Tobacco Products and implement the strategies outlined in the protocol.
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.
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.
Objective: The aim of this study was to develop and assess an equivalent modified FTND scale that measures the nicotine dependency via EC.
Materials and Methods: The investigator developed the equivalent modified FTND scale that scores identical to the original scale, that is, 0-10. The developed scale piloted among 15 EC single users, that is, use only EC verified by carbon monoxide (CO) level of <8ppm. The assessment of the scale was done among 69 EC single users and observed for 1 year to determine their nicotine status.
Results: The modified scale revealed an acceptable Cronbach α value of 0.725. Further test-retest reliability of the scale showed a satisfactory Spearman's rank correlation coefficient value of 0.730 (P > 0.05). A 1-year observation showed that of 69 single users, 11 single users completely stopped nicotine intake, 24 remained as EC single users, 15 shifted to dual-use, and 19 relapsed to TCG. Surprisingly, the EC users who completely stopped nicotine intake after 1 year had a low average nicotine dependence value of 3 that was measured by the modified FTND scale at the baseline.
Conclusion: The modified FTND scale precisely identifies the physical dependence to nicotine via EC. Therefore, as per this study results the modified FTND scale can be applied in any EC-related studies to assess nicotine dependency via EC.
METHODS: Data came from the Global Adult Tobacco Survey, a household-based survey of non-institutionalized adults aged ≥15 years. Surveys were conducted in 31 countries during 2008-2018; sample sizes ranged from 4,250 (Malaysia) to 74,037 (India), and response rates ranged from 64.4% (Ukraine) to 98.5% (Qatar). In 2019, data from the 31 countries were assessed in June 2019, and indicators included self-reported current (daily or less than daily) tobacco smoking, past-year quit attempts, and cessation methods used in the past 12 months.
RESULTS: Current tobacco smoking prevalence ranged from 3.7% (Ethiopia) to 38.2% (Greece). Overall, an estimated 176.8 million adults from the 31 countries made a quit attempt in the past 12 months, with country-level prevalence ranging from 16.4% (Greece) to 54.7% (Botswana). Most individuals who made a quit attempt did so without assistance (median=74.4%). Other methods were less prevalent, including quitlines (median=0.2%) and counseling (median=7.2%).
CONCLUSIONS: In the assessed countries, the majority of those who currently smoked tobacco and made a quit attempt did so without assistance; very few reported using quitlines, partly because of the lack of quitlines in some countries. In resource-limited settings, quitlines can play a greater role in helping people quit smoking as part of a comprehensive approach.
METHODS: We analyzed data from the Global Youth Tobacco Survey (GYTS) 2003, GYTS 2009, and the Tobacco and Electronic Cigarette Survey among Malaysia Adolescents (TECMA) 2016. The surveys employed multistage sampling to select representative samples of adolescents attending secondary school in Malaysia. Data were collected using a pre-validated self-administered anonymous questionnaire adopted from the GYTS.
RESULTS: Between 2003 and 2016, major changes occurred in which there were reductions in the prevalence of ever smoking, current smoking, and susceptibility to smoking. Reductions were also observed in exposure to SHS in public places and in the home. The proportion of school-going adolescents who support a ban on smoking in public places increased between 2013 to 2016, and there was a significant reduction in the proportion of respondents that were offered 'free' cigarettes by tobacco company representatives. However, there was no difference in the proportion of adolescents who initiated smoking before the age of 10 years and current smokers seeking advice to quit smoking across the time period.
CONCLUSIONS: Our study indicates that the smoking policies and measures have been effective in reducing smoking prevalence, secondhand smoke exposure, and access to cigarettes, among school-going adolescents in Malaysia. However, measures to reduce smoking initiation and increase smoking cessation need to be strengthened to reduce the burden of smoking-related diseases in Malaysia in the long-term.