Menthol cigarettes are thought to encourage smoking initiation among youths and young adults and make it more difficult for smokers to quit, thus increasing cigarette harm. However, no study to date has quantified the damage that menthol cigarettes have caused the US population.
 
  To estimate the excess smoking prevalence, smoking initiation, and mortality in the US from 1980 through 2018 that can be attributed to menthol cigarettes.
 
  Using a well-established simulation model of smoking prevalence and health effects and data from the National Health Interview Survey (NHIS), we first reproduced the overall US adult smoking prevalence between 1980 and 2018 (pseudo-R
  =0.98) and associated mortality. Then we re-ran the model, assuming that menthol cigarettes were not present in the market over the same period. Finally, we compared both scenarios to quantify the public health harm attributable to menthol over the 1980-2018 period.
 
  From 1980 to 2018, we found that menthol cigarettes were responsible for slowid and Drug Administration in evaluating potential regulatory actions for mentholated tobacco products.There are several ways to measure the illicit cigarette market. In South Africa, different methods were used to triangulate results. The aim of this paper is to assist researchers to decide which method is most suitable to their context, especially for countries that do not have security features on cigarette packs (eg, tax stamps). We analysed the methods and results from three published articles that used various approaches to measure cigarette illicit trade in South Africa (1) gap analysis, (2) price threshold method using secondary data from a national survey, and (3) price threshold method using primary data collected in low socioeconomic areas. We provide methodological insights and background information. We discuss the advantages and disadvantages of each method. The method chosen by researchers will depend on data availability, the existence or absence of security features on cigarette packs and funding. Researchers investigating illicit trade should use more than one method to increase confidence in the obtained results.IntroductionSmoking is an important public health concern. This study is the first that attempts to estimate the economic cost of smoking and secondhand smoke (SHS) exposure at home in Thailand.MethodA prevalence-based cost of illness approach following the guideline by WHO is employed.ResultIn 2017, the direct morbidity cost attributable to smoking and SHS exposure at home in Thailand was estimated to be at least US$265.97 million and US$23.66 million, respectively. Indirect morbidity costs from workday loss totalling US$25.04 million can be linked to smoking, while US$1.72 million was the result of SHS exposure at home. Smoking-attributable premature deaths resulted in an opportunity loss to the country equivalent to US$2.48 billion, while the figure was US$181.41 million for SHS exposure at home. Total years of life lost due to smoking and SHS-attributable premature deaths are estimated to have been at least 390 955 years for males and 82 536 years for females.  https://www.selleckchem.com/products/mptp-hydrochloride.html  The total economic cost from both types of tobacco exposure amounted to US$2.98 billion, equivalent to 17.41% of Thailand's current health expenditure or 0.65% of its gross domestic product in 2017.ConclusionSmoking imposed a substantial economic burden on Thailand in 2017. Seven per cent of this cost was imposed on non-smokers sharing a residence with smokers. Females bore 80% of this SHS-related cost. The findings call for prompt responses from public health agencies in Thailand to launch effective tobacco control policies.
  We examined whether the implementation of electronic cigarette (e-cigarette) policies at the state level (e-cigarette-inclusive smoke-free (ESF) policies, excise taxes on e-cigarettes and raising tobacco legal purchasing age to 21 years (T21)) affected recent upward trends in youth e-cigarette use.
 
  Data were from participants from 34 US states who completed the Youth Risk Behavior Survey (YRBS) state surveys in 2017 and 2019 (n=278 271). States were classified as having or not having ESF policies, any e-cigarette excise tax and T21 policies by 1 January 2019. Participants reported ever, past 30-day and frequent (≥20 days) e-cigarette use; past 30-day combustible cigarette smoking; and age, sex and race/ethnicity. Weighted multivariable logistic regression models assessed whether changes in e-cigarette use over time differed by policy status, adjusting for participants' demographics and combustible cigarette smoking.
 
  Prevalence of ever and past 30-day youth e-cigarette use in states with ESF policies decreased during 2017-2019, while the prevalence of these measures in states without ESF policies increased. States with T21 policies showed non-significant changes in prevalence of ever and past 30-day youth e-cigarette use, whereas states without T21 policies showed significant increases in ever and past 30-day youth e-cigarette use. States with ESF and T21 policies showed slower increases in youth frequent e-cigarette use. E-cigarette excise taxes were not associated with decreasing prevalence of youth e-cigarette use.
 
  State-level ESF and T21 policies could be effective for limiting growth of youth e-cigarette use despite an overall national increase. Higher e-cigarette excise tax rates may be needed to effectively reduce youth e-cigarette use.
 State-level ESF and T21 policies could be effective for limiting growth of youth e-cigarette use despite an overall national increase. Higher e-cigarette excise tax rates may be needed to effectively reduce youth e-cigarette use.
  Point-of-sale tobacco marketing has been shown to be related to tobacco use behaviours; however, specific influences of cigarette price discounts, price tiers and pack/carton availability on cigarette purchasing intention are less understood by the tobacco control community.
 
  We conducted discrete choice experiments among an online sample of US young adult smokers (aged 18-30 years; n=1823). Participants were presented scenarios depicting their presence at a tobacco retail outlet with varying availability of cigarette price discounts, price tiers and pack/carton. At each scenario, participants were asked whether they would purchase cigarettes. Generalised linear regression models were used to examine the associations between of cigarette price discounts, price tiers and pack/carton with intention to purchase cigarettes overall and stratified by educational attainment.
 
  Participants chose to purchase cigarettes in 70.9% of the scenarios. Offering price discounts were associated with higher odds of choosing to purchase cigarettes.