Lifetime costs of alcohol consumption in Thailand: protocol for an incidence-based cost-of-illness study using Markov model.

INTRODUCTION: Several prevalence-based cost-of-illness (COI) studies have been conducted to estimate the economic burden of alcohol consumption borne by a particular society in a given year. Yet there are few studies examining the economic costs incurred by an individual drinker over his/her lifetime. Thus, this study aims to estimate the costs incurred by an individual drinker's alcohol consumption over his or her lifetime in Thailand. METHODS AND ANALYSIS: An incidence-based COI approach will be employed. To project individuals' associated costs over a lifetime, a Markov modelling technique will be used. The following six alcohol-related diseases/conditions will be considered in the model: hypertension, haemorrhagic stroke, liver cirrhosis, liver cancer, alcohol use disorders and road injury. The analysis will cover both direct (ie, direct healthcare cost, costs of property damage due to road traffic accidents) and indirect costs (ie, productivity loss due to premature mortality and hospital-related absenteeism). The human capital approach will be adopted to estimate the cost of productivity loss. All costs will be presented in Thai baht, 2022. ETHICS AND DISSEMINATION: The Institutional Review Board of Mahidol University, Faculty of Dentistry/Faculty of Pharmacy has confirmed that no ethical approval is required (COE.No.MU-DT/PY-IRB 2021/010.0605). Dissemination of the study findings will be carried out through peer-reviewed publications, conferences and engagement with policy-makers and public health stakeholders.

A drink equals how many cigarettes? Equating mortality risks from alcohol and tobacco use in Canada.

Objective: To quantify and communicate risk equivalencies for alcohol-and tobacco-attributable mortality by comparing per standard drinks consumed to per number of cigarettes smoked in Canada. Methods: Alcohol-and tobacco-attributable premature deaths (≤75 years of age) and years of life lost (YLL) were estimated using a lifetime risk modeling approach. Alcohol-attributable death statistics were obtained from the 2023 Canadian Guidance on Alcohol and Health data source. Tobacco-attributable death statistics were derived from the Mortality Population Risk Tool (MPoRT) model. Results: The risk of alcohol use on premature death and YLL increased non-linearly with the number of drinks consumed, while the risk for tobacco use on these two measures increased linearly with the number of cigarettes smoked. Males who consumed 5 drinks/day-a standard drink contains 13.45 grams of alcohol in Canada-had an equivalent risk as smoking 4.9 cigarettes/day (when modeling for premature death) and 5.1 cigarettes/day (when modeling for YLL). Females who consumed 5 drinks/day experienced an equivalent risk as smoking 4.2 cigarettes/day for premature deaths and YLL. At all levels of alcohol consumption females and males who consumed <5 drinks/day have less risks from consuming a standard drink than from smoking a cigarette. For males who consumed 5 drinks/day, the increased risks of death from per drink consumed and per cigarette smoked were equal. Conclusion: Risk equivalencies comparing alcohol use to tobacco use could help people who drink improve their knowledge and understanding of the mortality risks associated with increased number of drinks consumed per day.

How much do Europeans know about the link between alcohol use and cancer? Results from an online survey in 14 countries.

OBJECTIVE: In the EU, which has the highest drinking levels worldwide, cancer is the primary cause of alcohol-attributable deaths. Existing studies show gaps in public knowledge, but there is lack of systematic appraisal. The report presents original data from a cross-sectional survey conducted within the framework of an online experimental study in 14 European countries, which among other things assessed baseline knowledge of the alcohol-NCD link, particularly cancer. METHODS: Online questionnaire among adults who consume alcohol conducted in 14 countries in 2022-2023 using different recruitment strategies and applying population weights for the final sample. Baseline assessments measured participants' knowledge of alcohol-attributable health issues (with a specific focus on cancer). RESULTS: Baseline knowledge assessment showed that 90% indicated a causal role of alcohol for liver disease, 68% for heart diseases, and only 53% for cancer. Knowledge of specific alcohol-attributable cancer types was lower, with 39% aware of the link between alcohol use and colon cancer, 28% regarding oral cancer, and only 15% regarding female breast cancer. Knowledge levels varied across different countries and population groups. CONCLUSION: Most Europeans do not know which cancers can be caused by alcohol use and knowledge is low specifically for female breast cancer. More awareness raising and prevention efforts are needed, such as the placement of cancer-specific health warnings on alcohol container labels.

Effects of cannabis legalisation on patterns of cannabis consumption among adolescents in Ontario, Canada (2001-2019).

INTRODUCTION: Cannabis legalisation was enacted on 17 October 2018 in Canada. Accordingly, the effects of cannabis legalisation on patterns of cannabis consumption were examined among adolescents, including on cannabis initiation, any cannabis use, daily cannabis use and cannabis dependence. METHODS: Data from a biennial population-based, cross-sectional survey of students in Ontario were pooled in a pre-post design (2001-2019; N = 89,238). Participants provided self-reports of cannabis initiation, any cannabis use, daily cannabis use and cannabis dependence. Long-term trends in these patterns of cannabis consumption over two decades of observation were characterised to provide a broader context of usage. The effects of cannabis legalisation on patterns of cannabis consumption were quantified using logistic regression analyses. RESULTS: Long-term trends over the two decades of observation indicated that cannabis initiation decreased and then increased (p = 0.0220), any cannabis use decreased and daily cannabis use decreased (p < 0.0001 and p = 0.0001, respectively) and cannabis dependence remained unchanged (p = 0.1187). However, in comparisons between the pre-cannabis legalisation period (2001-2017) and the post-cannabis legalisation period (2019), cannabis legalisation was not associated with cannabis initiation (odds ratio; 95% confidence interval 1.00; 0.79-1.27), but it was associated with an increased likelihood of any cannabis use (1.31; 1.12-1.53), daily cannabis use (1.40; 1.09-1.80) and cannabis dependence (1.98; 1.29-3.04). DISCUSSION AND CONCLUSIONS: Cannabis legalisation was not associated with cannabis initiation, but it was associated with an increased likelihood of any cannabis use, daily cannabis use and cannabis dependence.

The cost-effectiveness of improved brief interventions for tobacco cessation in Thailand.

Background: This study estimated the cost-effectiveness of four strategies enhancing the quality and accessibility of Brief Intervention (BI) service for smoking cessation in Thailand during 2022-2030: (1) current-BI (status quo), (2) the effective-training standard-BI, (3) the current-BI plus the village health volunteers (VHV) mobilization, and (4) the effective-training BI plus VHV mobilization. Methods: By interviewing five public health officers, nine healthcare professionals aiding these services, and fifteen BI service experts, we explored the status quo situation of the Thai smoking cessation service system, including main activities, their quantity assumptions, and activities' unit prices needed to operate the current cessation service system. Then, we modeled additional activities needed to implement the other three simulated scenarios. We estimated the costs and impacts of implementing these strategies over a nine-year operating horizon (2022-2030), covering 3 years of service system preparation and 6 years of full implementation. The modeled costs of these four strategies included intervention and program costs. The study focused on current smokers age 15 years or older. The assessed impact parameters encompassed smoking prevalence, deaths averted, and healthy life-years gained. An Incremental Cost-Effectiveness Analysis compared the four simulated strategies was employed. Data analysis was performed using the One Health Tool software, which the World Health Organization developed. Results: The findings of this investigation reveal that all three intervention strategies exhibited cost-effectiveness compared to the prevailing status quo. Among these strategies, Strategy 2, enhancing BI service quality, emerged as the most efficient and efficacious option. Therefore, the expansion of quality services should be synergistically aligned with augmented training, service delivery optimization, and managerial enhancements. Conclusion: This approach is particularly poised to enhance accessibility to and the efficacy of smoking cessation interventions across Thailand.

Public awareness of the alcohol-cancer link in the EU and UK: a scoping review.

BACKGROUND: Alcohol increases cancer risk, but less is known about public awareness of this link. This scoping review summarizes recent findings on the public awareness of alcohol as a cancer risk factor in European Union and UK. METHODS: Four databases (Web of Science, MEDLINE, PsycInfo, CINAHL) were searched for papers containing data on awareness of alcohol as cancer risk factor in EU or UK published between January 2017 and December 2022, and complemented with grey literature searches. RESULTS: In total, 45 studies were included covering 18 EU countries (Austria, Belgium, Cyprus, Czechia, Denmark, Finland, France, Germany, Hungary, Ireland, Italy, Netherlands, Poland, Romania, Slovakia, Slovenia, Spain, Sweden) and UK, presenting data collected between 2009 and 2022. Studies covered general population (17 studied a nationally representative sample), women, health professionals, patients and young people. Awareness of alcohol causing cancer in general was higher and studied more often than awareness of alcohol's impact on specific cancers. Among the EU general population, awareness of the link between alcohol and breast cancer ranged between 10% and 20%, head and neck cancer 15-25%, colorectal and oesophagus cancer 15-45% and liver cancer 40%. Awareness was higher among young people and specialized health professions and lower among women (the latter specifically for the breast cancer). CONCLUSIONS: While awareness rates varied depending on the exact question wording, many studies showed low awareness of the alcohol-cancer link, especially for specific types such as breast and colon cancer. Public should be better informed about alcohol consumption-related cancer risk.

Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?

BACKGROUND: Racial and ethnic inequalities in all-cause mortality exist, and individual-level lifestyle factors have been proposed to contribute to these inequalities. In this study, we evaluate the extent to which the association between race and ethnicity and all-cause mortality can be explained by differences in the exposure and vulnerability to harmful effects of different lifestyle factors. METHODS: The 1997-2014 cross-sectional, annual US National Health Interview Survey (NHIS) linked to the 2015 National Death Index was used. NHIS reported on race and ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx), lifestyle factors (alcohol use, smoking, body mass index, physical activity), and covariates (sex, age, education, marital status, survey year). Causal mediation using an additive hazard and marginal structural approach was used. RESULTS: 465,073 adults (18-85 years) were followed 8.9 years (SD: 5.3); 49,804 deaths were observed. Relative to White adults, Black adults experienced 21.7 (men; 95%CI: 19.9, 23.5) and 11.5 (women; 95%CI: 10.1, 12.9) additional deaths per 10,000 person-years whereas Hispanic/Latinx women experienced 9.3 (95%CI: 8.1, 10.5) fewer deaths per 10,000 person-years; no statistically significant differences were identified between White and Hispanic/Latinx men. Notably, these differences in mortality were partially explained by both differential exposure and differential vulnerability to the lifestyle factors among Black women, while different effects of individual lifestyle factors canceled each other out among Black men and Hispanic/Latinx women. CONCLUSIONS: Lifestyle factors provide some explanation for racial and ethnic inequalities in all-cause mortality. Greater attention to structural, life course, healthcare, and other factors is needed to understand determinants of inequalities in mortality and to advance health equity.

Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?

Background: Racial and ethnic inequalities in all-cause mortality exist, and individual-level lifestyle factors have been proposed to contribute to these inequalities. In this study, we evaluate the extent to which the association between race and ethnicity and all-cause mortality can be explained by differences in the exposure and vulnerability to harmful effects of different lifestyle factors. Methods: The 1997-2014 cross-sectional, annual US National Health Interview Survey (NHIS) linked to the 2015 National Death Index was used. NHIS reported on race and ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx), lifestyle factors (alcohol use, smoking, body mass index, physical inactivity), and covariates (sex, age, education, marital status, survey year). Causal mediation using an additive hazard and marginal structural approach was used. Results: 465,073 adults (18-85 years) were followed 8.9 years (SD:5.3); 49,804 deaths were observed. Relative to White adults, Black adults experienced 21.7 (men; 95%CI: 19.9, 23.5) and 11.5 (women; 95%CI: 10.1, 12.9) additional deaths per 10,000 person-years whereas Hispanic/Latinx women experienced 9.3 (95%CI: 8.1, 10.5) fewer deaths per 10,000 person-years; no statistically significant differences were identified between White and Hispanic/Latinx men. Notably, these differences in mortality were partially explained by both differential exposure and differential vulnerability to these lifestyle factors among Black women, while different effects of individual lifestyle factors canceled each other out among Black men and Hispanic/Latinx women. Conclusions: Lifestyle factors provide some explanation for racial and ethnic inequalities in all-cause mortality. Greater attention to structural, life course, healthcare, and other factors is needed to understand determinants of inequalities in mortality and advance health equity.

Assessing data availability of NCD prevention and control in six ASEAN countries based on WHO global monitoring framework and the progress monitor indicators.

BACKGROUND: To tackle noncommunicable disease (NCD) burden globally, two sets of NCD surveillance indicators were established by the World Health Organization: 25 Global Monitoring Framework (GMF) indicators and 10 Progress Monitoring Indicators (PMI). This study aims to assess the data availability of these two sets of indicators in six ASEAN countries: Cambodia, Lao PDR, Malaysia, Myanmar, Thailand, and Vietnam. METHODS: As data on policy indicators were straightforward and fully available, we focused on studying 25 non-policy indicators: 23 GMFs and 2 PMIs. Gathering data availability of the target indicators was conducted among NCD surveillance experts from the six selected countries during May-June 2020. Our research team found information regarding whether the country had no data at all, was using WHO estimates, was providing 'expert judgement' for the data, or had actual data available for each target indicator. We triangulated their answers with several WHO data sources, including the WHO Health Observatory Database and various WHO Global Reports on health behaviours (tobacco, alcohol, diet, and physical activity) and NCDs. We calculated the percentages of the indicators that need improvement by both indicator category and country. RESULTS: For all six studied countries, the health-service indicators, based on responses to the facility survey, are the most lacking in data availability (100% of this category's indicators), followed by the health-service indicators, based on the population survey responses (57%), the mortality and morbidity indicators (50%), the behavioural risk indicators (30%), and the biological risk indicators (7%). The countries that need to improve their NCD surveillance data availability the most are Cambodia (56% of all indicators) and Lao PDR (56%), followed by Malaysia (36%), Vietnam (36%), Myanmar (32%), and Thailand (28%). CONCLUSION: Some of the non-policy GMF and PMI indicators lacked data among the six studied countries. To achieve the global NCDs targets, in the long run, the six countries should collect their own data for all indicators and begin to invest in and implement the facility survey and the population survey to track NCDs-related health services improvements once they have implemented the behavioural and biological Health Risks Population Survey in their countries.

Cannabis legalization and cannabis use, daily cannabis use and cannabis-related problems among adults in Ontario, Canada (2001-2019).

BACKGROUND: In the context of cannabis legalization in Canada, we examined the effects on cannabis patterns of consumption, including cannabis use, daily cannabis use and cannabis-related problems. In addition, we examined differential effects of cannabis legalization by age and sex. METHODS: A pre-post design was operationalized by combining 19 iterations of the Centre for Addiction and Mental Health (CAMH) Monitor Surveys (N = 52,260; 2001-2019): repeated, population-based, cross-sectional surveys of adults in Ontario. Participants provided self-reports of cannabis use (past 12 months), daily cannabis use (past 12 months) and cannabis-related problems though telephone interviews. The effects of cannabis legalization on cannabis patterns of consumption were examined using logistic regression analyses, with testing of two-way interactions to determine differential effects by age and sex. RESULTS: Cannabis use prevalence increased from 11 % to 26 % (p < 0.0001), daily cannabis use prevalence increased from 1 % to 6 % (p < 0.0001) and cannabis-related problems prevalence increased from 6 % to 14 % (p < 0.0001) between 2001 and 2019. Cannabis legalization was associated with an increased likelihood of cannabis use (OR, 95 % CI: 1.62, 1.40-1.86), daily cannabis use (1.59, 1.21-2.07) and cannabis-related problems (1.53, 1.20-1.95). For cannabis-related problems, a significant two-way interaction was observed between cannabis legalization and age (p = 0.0001), suggesting differential effects among adults ≥55 years. CONCLUSIONS: Cannabis legalization was associated with an increased likelihood of cannabis use, daily cannabis use and cannabis-related problems. Given increases in these cannabis patterns of consumption, broader dissemination and uptake of targeted prevention tools is indicated.

Improving alcohol management in primary health care in Mexico: A return-on-investment analysis.

INTRODUCTION: Alcohol screening, brief advice and referral to treatment (SBIRT) in primary health care is an effective strategy to decrease alcohol consumption at population level. However, there is relatively scarce evidence regarding its economic returns in non-high-income countries. The current paper aims to estimate the return-on-investment of implementing a SBIRT program in Mexican primary health-care settings. METHODS: Empirical data was collected in a quasi-experimental study, from 17 primary health-care centres in Mexico City regarding alcohol screening delivered by 145 health-care providers. This data was combined with data from a simulation study for a period of 10 years (2008 to 2017). Economic investments were calculated from a public sector health-care perspective as clinical consultation costs (salary and material costs) and program costs (set-up, adaptation, implementation strategies). Economic return was calculated as monetary gains in the public sector health-care, estimated via simulated reductions in alcohol consumption, dependent on population coverage of alcohol interventions delivered to primary health-care patients. RESULTS: Results showed that scaling up a SBIRT program in Mexico over a 10-year period would lead to positive return-on-investment values ranging between 21% in scenario 4 (confidence interval -8.6%, 79.5%) and 110% in scenario 5 (confidence interval 51.5%, 239.8%). Moreover, over the 10-year period, up to 16,000 alcohol-related deaths could be avoided as a result of implementing the program. DISCUSSION AND CONCLUSIONS: SBIRT implemented at national level in Mexico may lead to substantial financial gains from a public sector health-care perspective.

What is a public health approach to substance use? A qualitative systematic review and thematic synthesis.

BACKGROUND: Psychoactive substance use and the regulations that govern it both have the potential to lead to harm. A 'public health approach' (PHA) is frequently invoked as a means of addressing these harms, but the term is used in inconsistent and contradictory ways. This study systematically reviewed the English-language academic literature to understand how a public health approach to substance use is defined and described. METHODS: This review employed thematic synthesis, a methodology designed to rigorously synthesize qualitative evidence. Eligible articles were published in peer-reviewed journals, in the English language, with full text available, and focused primarily on substance use. There were no limits on year of publication. Original research, opinion/commentary, and reviews were included. The searches were conducted in October 2021 in CINAHL, Embase, Medline, PAIS Index, PsycINFO, Scopus, Sociological Abstracts, and Web of Science. RESULTS: 272 articles from 25 countries, published between 1950 and 2021, were synthesized. Definitions of a PHA have changed over time and differ by substance. The most commonly cited characteristics of a PHA were: for alcohol, regulation, e.g. of price and availability (54% of articles); for cannabis: regulation (68%); for illicit drugs: that a PHA is distinct from a criminal justice approach (63%); for opioids: substance use disorder treatment (55%); and for tobacco: regulation (62%). CONCLUSION: There is no consensus on the definition of a public health approach to substance use, but there is substantial agreement when it comes to PHAs to specific substances. There are also similarities in how they are described for legal substances versus illicit ones. This review found areas of disagreement regarding the extent to which PHAs should focus on individual-level factors. Policymakers, academics, and others developing or implementing PHAs to substance use should be explicit about their aims and objectives - as well as the premises and assumptions underlying them.

The temporal trend of cause-specific mortality: comparing Estonia and Lithuania, 2001 - 2019.

BACKGROUND: Despite being two Baltic countries with similar histories, Estonia and Lithuania have diverged in life expectancy trends in recent years. We investigated this divergence by comparing cause-specific mortality trends. METHODS: We obtained yearly mortality data for individuals 20 + years of age from 2001-2019 (19 years worth of data) through Statistics Lithuania, the Lithuanian Institute for Hygiene, and the National Institute for Health Development (Estonia). Using ICD-10 codes, we analyzed all-cause mortality rates and created eight major disease categories: ischemic heart disease, cerebrovascular disease, all other cardiovascular disease, cancers (neoplasms), digestive diseases, self-harm and interpersonal violence, unintentional injuries and related conditions, and other mortality (deaths per 100,000 population). We used joinpoint regression analysis, and analyzed the proportional contribution of each category to all-cause mortality. RESULTS: There was a steeper decline in all-cause mortality in Estonia (average annual percent change, AAPC = -2.55%, 95% CI: [-2.91%, -2.20%], P < .001) as compared to Lithuania (AAPC = -1.26%, 95% CI: [-2.18%, -0.57%], P = .001). For ischemic heart disease mortality Estonia exhibited a relatively larger decline over the 19-year period (AAPC = -6.61%, 95% CI: [-7.02%, -6.21%], P < .001) as compared to Lithuania (AAPC = -2.23%, 95% CI: [-3.40%, -1.04%], P < .001). CONCLUSION: Estonia and Lithuania showed distinct mortality trends and distributions of major disease categories. Our findings highlight the role of ischemic heart disease mortality. Differences in public health care, management and prevention of ischemic heart disease, alcohol control policies may explain these differences.

Methods and factors influencing successful smoking cessation in Thailand: A case-control study among smokers at the community level.

INTRODUCTION: Despite comprehensive tobacco control policies being in place since 1992, smoking prevalence in Thailand has not declined since 2009, indicating a potential need for individual-level measures. This study examined factors influencing successful smoking cessation attempts in Thailand. METHODS: With a case-control design, smoking cessation experiences of 284 successful (defined as having quit smoking for at least six months) and 837 unsuccessful quitters, who were all lifetime daily smokers, were compared, using sociodemographic data, smoking behaviors, and smoking cessation experiences from their last quitting attempt. Data were collected between August and December 2020. Multivariate-adjusted logistic regressions were employed. RESULTS: Unaided smoking cessation was the most popular method among Thais attempting to quit smoking; more than 99% of both successful and unsuccessful quitters used this method. A significantly higher proportion of successful quitters favored stopping their smoking abruptly than did unsuccessful quitters. Depending on the cessation phases (nicotine withdrawal or relapse prevention), cessation-supporting factors included a doctor's recommendation to stop smoking due to smoker's sickness (OR=2.6; 95% CI: 1.9-3.6), having a grandchild (OR=2.5; 95% CI: 1.1-5.6) or child (OR=2.0; 95% CI: 1.2-3.1), exercising (OR=13.9; 95% CI: 7.2-26.9), avoiding smokers (OR=6.7; 95% CI: 4.1-11.1), self-efficacy (OR=8.5; 95% CI: 3.6-20.0), having a good appetite (OR=1.9; 95% CI: 1.3-2.8), wishing to avoid the unpleasant smell of other people's smoking after cessation (OR=3.7; 95% CI: 2.5-5.5), smoking prohibitions in public places (OR=2.8; 95% CI: 1.2-6.4) and workplaces (OR=4.5; 95% CI: 1.9-10.3), and expensive tobacco (OR=1.9; 95% CI: 1.3-2.9). Barriers to successful cessation included using roll-your-own (OR=0.4; 95% CI: 0.3-0.5), insomnia (OR=0.3; 95% CI: 0.2-0.5), social pressure to smoke (OR=0.4; 95% CI: 0.3-0.6), associating smoking with a habit/specific activity (OR=0.4; 95% CI: 0.3-0.5), and pleasure of smoking (OR=0.5; 95% CI: 0.3-0.7). CONCLUSIONS: This study highlights several factors found to influence successful smoking cessation among Thai smokers which can be used to design a guideline for unaided smoking cessation, and for smoking cessation enhancement programs and policies.

Impact of introducing a minimum alcohol tax share in retail prices on alcohol-attributable mortality in the WHO European Region: A modelling study.

Background: Alcohol use and its burden constitute one of the largest public health challenges in the WHO European Region. Raising alcohol taxes is a cost-effective "best buy" measure to reduce alcohol consumption, but its implementation remains uneven. This paper provides an overview of existing tax structures in 50 countries and subregions of the Region, estimates their proportions of tax on retail prices of beer, wine, and spirits, and quantifies the number of deaths that could be averted annually if these tax shares were raised to a minimum level. Methods: Review of databases and statistical reports on taxes and mean retail prices of alcohol beverages in the Region. Affordability was calculated based on alcohol prices, adjusted for differences in purchasing power. Consumption changes and averted mortality were modelled assuming two scenarios. In Scenario 1, a minimum excise tax share level of 25% of the beverage-specific retail price was assumed for all countries. In Scenario 2, in addition to a minimum excise tax share level of 15% it was assumed that per unit of ethanol minimal retail prices were the same irrespective of alcoholic beverages (equalisation). Sensitivity analyses were conducted for different price elasticities. Findings: Alcohol is very affordable in the Region and alcohol taxes have clearly been under-utilized as a public health measure, constituting on average only 5·7%, 14·0% and 31·3% of the retail prices of wine, beer, and spirits, respectively. Tax shares were higher in the eastern part of the Region compared to the EU, where various countries did not have excise taxes on wine. Annually, the introduction of a minimum tax share of 25% (Scenario 1) could avert 40,033 (95% CI: 38,054-46,097) deaths in the WHO European Region (with 753,454,300 inhabitants older than 15 years of age). If a 15% tax share with equalisation were implemented (Scenario 2), 132,906 (95% CI: (124,691-151,674) deaths could be averted. All sensitivity analyses with different elasticities yielded outcomes close to those of the main analyses. Interpretation: Similar to tobacco taxes, increasing alcohol taxes should be considered to be a health-based measure aimed at saving lives. Many countries have hesitated to apply higher taxes to alcohol, but the present results show a clear health benefit as a result of implementing a minimum tax share. Funding: This work was supported by the National Institute on Alcohol Abuse and Alcoholism (1R01AA028224) and the Canadian Institutes of Health Research, Institute of Neurosciences, and Mental Health and Addiction (SMN-13950).

Separate and combined effects of alcohol and cannabis on mood, subjective experience, cognition and psychomotor performance: A randomized trial.

Co-use of alcohol and cannabis is associated with increased frequency and intensity of use and related problems. This study examined acute effects of alcohol and cannabis on mood, subjective experience, cognition, and psychomotor performance. Twenty-eight healthy cannabis users aged 19-29 years with recent history of binge drinking completed this within-subjects, double-blind, double-dummy, placebo-controlled, randomized clinical trial. Participants received: placebo alcohol and placebo cannabis (<0.1% THC); alcohol (target breath alcohol content [BrAC] 80 mg/dL) and placebo cannabis; placebo alcohol and active cannabis (12.5% THC); and active alcohol and cannabis over four sessions. Profile of Mood States (POMS), Addiction Research Centre Inventory (ARCI), verbal free recall (VFR), Digit Symbol Substitution Test (DSST), Continuous Performance Test (CPT), and grooved pegboard (GPB) task were administered before and approximately 75 min after drinking alcohol (1 h after smoking cannabis ad libitum). Significant effects of condition were found for the POMS (Tension-Anxiety, Confusion) and ARCI (MBG, LSD, PCAG, Euphoria, Sedation), predominantly with greater increases emerging after cannabis or alcohol-cannabis combined relative to placebo. Significant effects were found for VFR (immediate total and delayed recall, percent retained), DSST (trials attempted, trials correct, reaction time), and GPB (non-dominant hand) predominantly with greater declines in performance after alcohol and alcohol-cannabis combined relative to placebo and/or cannabis. Cannabis appeared to affect mood and subjective experience, with minimal impact on cognitive performance. Alcohol appeared to impair cognitive and psychomotor performance, with minimal impact on mood and subjective experience. Acute effects of alcohol and cannabis combined were additive at most.

Educational Attainment and Lifestyle Risk Factors Associated With All-Cause Mortality in the US.

IMPORTANCE: The US has experienced increasing socioeconomic inequalities and stagnating life expectancy. Past studies have not disentangled 2 mechanisms thought to underlie socioeconomic inequalities in health, differential exposure and differential vulnerability, that have different policy implications. OBJECTIVE: To evaluate the extent to which the association between socioeconomic status (SES) and all-cause mortality can be decomposed into a direct effect of SES, indirect effects through lifestyle factors (differential exposure), and joint effects of SES with lifestyle factors (differential vulnerability). DESIGN SETTING AND PARTICIPANTS: This nationwide, population-based cohort study used the cross-sectional US National Health Interview Survey linked to the National Death Index. Civilian, noninstitutionalized US adults aged 25 to 84 years were included from the 1997 to 2014 National Health Interview Survey and were followed up until December 31, 2015. Data were analyzed from May 1 to October 31, 2021. A causal mediation model using an additive hazard and marginal structural approach was used. EXPOSURES: Both SES (operationalized as educational attainment) and lifestyle risk factors (smoking, alcohol use, obesity, and physical inactivity) were assessed using self-reported questionnaires. MAIN OUTCOMES AND MEASURES: Time to all-cause mortality. RESULTS: Participants included 415 764 adults (mean [SD] age, 49.4 [15.8] years; 55% women; 64% non-Hispanic White), of whom 45% had low educational attainment and 27% had high educational attainment. Participants were followed up for a mean (SD) of 8.8 (5.2) years during which 49 096 deaths (12%) were observed. Low educational attainment (compared with high) was associated with 83.6 (men; 95% CI, 81.8-85.5) and 54.8 (women; 95% CI, 53.4-56.2) additional deaths per 10 000 person-years, of which 66% (men) and 80% (women) were explained by lifestyle factors. Inequalities in mortality were primarily a result of greater exposure and clustering of unhealthy lifestyle factors among low SES groups; with some exceptions among women, little evidence of differential vulnerability was identified. CONCLUSIONS AND RELEVANCE: In this cohort study, differential exposure to lifestyle risk factors was an important mediator of socioeconomic inequalities in mortality. Public health interventions are needed, particularly among low SES groups, to address smoking, physical inactivity, alcohol use, and the socioenvironmental contexts within which these risk factors develop.

Alcohol taxation, alcohol consumption and cancers in Lithuania: A case study.

Aims: The aim of this contribution was to estimate the impact of the last significant alcohol taxation increase in Lithuania in 2017 on alcohol consumption, incident cancer cases, and cancer mortality, as well as the number of cancer outcomes that could have potentially been averted in 2018 had larger increases in alcohol excise taxation been applied. Design: Statistical modelling was used to estimate the change in alcohol per capita consumption following the tax increase, and alcohol-attributable fraction methodology was then used to estimate the associated cancer incidence and mortality. Potential increases of current excise duties were modelled in two steps. First, beverage-specific price elasticities of demand were used to predict the associated decreases in consumption and cancer outcomes, and second, the outcomes arising from the actual numbers and the modelled numbers were compared. Method: Data were taken from the following sources: alcohol consumption data from Statistics Lithuania and the WHO, cancer data from the International Agency of Research on Cancer, and risk relations and elasticities of demand from published meta-analyses. Results: A total of 15,857 new cancer cases (8,031 in women and 7,826 in men) and 8,534 cancer deaths (3,757 in women and 4,777 in men) were recorded in Lithuania in 2018. Using the attributable fraction methodology, we estimate that 4.8% of 761 of these new cancer cases were attributable to alcohol use (284 in women; 477 in men), as well as 5.5% or 466 cancer deaths (115 in women; 351 in men). With the taxation increase of 2017, 45 new cases and 24 deaths will be averted over the next 10 years. Further taxation increases of 100% could double the number of new cancer cases averted or saved. Conclusion: In a high-consumption European country like Lithuania, alcohol use is an important and avoidable risk factor for cancer. Taxation is an important measure to reduce the alcohol-attributable cancer burden.