Estimating the Size of Illicit Tobacco Market in Lithuania: Results from the Discarded Pack Collection Method.

INTRODUCTION: For decades in Lithuania, the threat of illicit trade has been used to weaken evidence-based tobacco-control policies and to undermine efforts to reduce smoking prevalence and its attributable burden, while also depriving the government of much-needed tax revenue. The aim of this study is to estimate the size of the illicit cigarette market in Lithuania using data from a nationally representative discarded pack collection. AIMS AND METHODS: The study employed a two-stage cluster design by first randomly selecting 65 well-defined population settlements (30 cities and 35 townships), representing both urban and rural areas, in all 10 counties in Lithuania. Next, we randomly selected 358 polling districts within these settlements. Each polling district had one route along which discarded packs were collected between September 2019 and 2020. RESULTS: In total, 28.9% (95% CIs = 27.7 to 30.1) of discarded cigarette packs were classified as illicit. The vast majority (90.1%) of illicit packs originated from Belarus with most (86.9%) packs produced in the Grodno Tobacco Factory Neman. Tax stamps were present on 93.6% of legal packs and also on 76% of illegal packs. CONCLUSIONS: Data from this study suggest that the illicit cigarette trade in Lithuania is more widespread than indicated by other methods and primarily supplied by the neighboring Belarus state-owned tobacco factory in Grodno. This signals the need to adopt Belarus-specific border control and security measures. IMPLICATIONS: This study presents data from the first national industry-independent study on illicit tobacco trade in Lithuania using discarded cigarette pack collection method. As customs seizure data show, our results also indicate that the illicit cigarette market is primarily supplied by Belarus state-owned Grodno Tobacco Factory Neman known for filling Europe with cheap cigarettes. An estimate derived from this study is higher than both the industry-independent estimate obtained by the survey method and the estimates offered by the tobacco industry. This adds to the evidence that the difference in estimates obtained by different methods reflects the strengths and weaknesses of each. The study also demonstrates the impact of a rogue neighbor on the illicit market in an adjacent country and offers suggestions on how to address it.

Unrecorded alcohol consumption in Lithuania: a modelling study for 2000-2021.

The aim of the study was to estimate unrecorded alcohol consumption in Lithuania for the period 2000-2021 using an indirect method for modelling consumption based on official consumption data and indicators of alcohol-related harm. Methodology employed for estimating the unrecorded alcohol consumption was proposed by Norström and was based on the country's 2019 European Health Interview Survey and indicators of fully alcohol-attributable mortality. The proportion of unrecorded alcohol consumption was estimated as 8.30% (95% CI 7.7-8.9%) for 2019 in Lithuania. The estimated total (recorded and unrecorded) alcohol per capita consumption among individuals 15 years of age and older in 2019 was 12.2 L of pure alcohol, 1.01 (95% CI 0.94-1.09%) L of which is likely unrecorded. The lowest unrecorded alcohol level was estimated for 2009 and 2014, while 2018 had the highest level (i.e. 9.33% of total alcohol per capita consumption). Unrecorded alcohol consumption in Lithuania is likely to be modest when compared to recorded alcohol consumption, the latter of which still remains a major challenge to public health.

The Impact of Increasing the Minimum Legal Drinking Age from 18 to 20 Years in Lithuania on All-Cause Mortality in Young Adults-An Interrupted Time-Series Analysis.

AIMS: To determine the effect of an alcohol policy change, which increased the minimum legal drinking age (MLDA) from 18 years of age to 20 years of age on all-cause mortality rates in young adults (18-19 years old) in Lithuania. METHODS: An interrupted time series analysis was conducted on a dataset from 2001 to 2019 (n = 228 months). The model tested the effects of the MLDA on all-cause mortality rates (deaths per 100,000 individuals) in three age categories (15-17 years old, 18-19 years old, 20-22 years old) in order to control for general mortality trends in young adults, and to isolate the effects of the MLDA from other alcohol control policies. Additional models that included GDP as a covariate and a taxation policy were tested as well. RESULTS: There was a significant effect of the MLDA on all-cause mortality rates in those 18-19 years old, when modelled alone. Additional analyses controlling for the mortality rate of other age groups showed similar findings. Inclusion of confounding factors (policies on alcohol taxation, GDP) eliminated the effects of MLDA. CONCLUSIONS: Although there was a notable decline in all-cause mortality rates among young adults in Lithuania, a direct causal impact of MLDA on all-cause mortality rates in young adults was not definitively found.

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.

Cardiovascular diseases mortality and alcohol control policy in Lithuania: exploring a possible link.

BACKGROUND: Lithuania possesses one of the highest alcohol per capita consumption and has previously implemented alcohol control policies to reduce the alcohol-attributable burden. The aim of this study was to investigate Lithuanian cardiovascular disease (CVD) mortality rate trends between 2001 and 2018 and to explore a possible link between CVD mortality rate and alcohol control policy implementation. METHODS: Lithuanian population mortality and alcohol consumption data for 2001-2018 were obtained from Statistics Lithuania and The State Register of Death Cases and Their Causes, Institute of Hygiene. Sex-specific CVD mortality rates were directly standardized to the European standard population by five-year age groups and categorized according to the ICD-10 codes for all CVDs (I00-I99), ischemic heart disease (IHD) (I20-I25), cerebrovascular diseases (I60-I69) and alcoholic cardiomyopathy (ACM) (I42.6). Joinpoint regression analyses were performed to identify points of inflection to explore their alignment with five selected alcohol policy enactments. RESULTS: Overall, the 2001-2018 yearly mortality rates for all CVDs significantly decreased on average by - 1.6% (95% CI -2.0, - 1.2%) among men and - 2.1% (95% CI -2.5, - 1.8%) among women. Yearly changes in all CVDs, IHD, cerebrovascular diseases and ACM mortality rates were insignificant prior to their respective critical year points in 2006, 2005, 2008 and 2007, but significantly decreased afterwards by an average of - 2.4% (95% CI -2.7, - 2.0%), - 1.6% (95% CI -2.1, - 1.1%), - 1.2% (95 CI -1.7, - 0.6%) and - 4.5% (95% CI -7.3, - 1.6%) among men, and by - 2.7% (95% CI -3.0, - 2.3%), - 2.0% (95% CI -2.6, - 1.4%), - 1.8% (95% CI 2.4, - 1.3%) and - 6.6% (95% CI -10.7, - 2.2%) among women, respectively. The changes in the mortality rate trends for all CVDs, IHD, cerebrovascular diseases and especially ACM coincided with alcohol policies enacted on the January 1, 2008, January 1, 2009, April 1, 2014 and March 1, 2017. CONCLUSIONS: Yearly mortality rates for all CVDs, IHD, cerebrovascular diseases and ACM have declined in Lithuania between 2001 and 2018, and declining trends were more prominent in women than in men. Among the ICD-10 CVD categories investigated, the points of inflection identified for the ACM mortality rate trend coincided best with the selected alcohol policy enactment dates.

Alcohol control policies reduce all-cause mortality in Baltic Countries and Poland between 2001 and 2020.

Alcohol consumption in the Baltic countries and Poland is among the highest globally, causing high all-cause mortality rates. Contrary to Poland, the Baltic countries have adopted many alcohol control policies, including the World Health Organization (WHO) "best buys". The aim of this study was to evaluate the impact of these policies, which were implemented between 2001 and 2020, on all-cause mortality. Monthly mortality data for men and women aged 20+ years of age in Estonia, Latvia, Lithuania, and Poland were analysed for 2001 to 2020. A total of 19 alcohol control policies, fulfilling an a-priori defined definition, were implemented between 2001 and 2020 in the countries of interest, and 18 of them could be tested. Interrupted time-series analyses were conducted by employing a generalized additive mixed model (GAMM) for men and women separately. The age-standardized all-cause mortality rate was lowest in Poland and highest in Latvia and had decreased in all countries over the time period. Taxation increases and availability restrictions had short-term effects in all countries, on average reducing the age-standardized all-cause mortality rate among men significantly (a reduction of 2.31% (95% CI 0.71%, 3.93%; p = 0.0045)). All-cause mortality rates among women were not significantly reduced (a reduction of 1.09% (95% CI - 0.02%, 2.20%; p = 0.0554)). In conclusion, the alcohol control policies implemented between 2001 and 2020 reduced all-cause mortality among men 20+ years of age in Baltic countries and Poland, and thus, the practice should be continued.

Alcohol-attributable mortality and alcohol control policy in the Baltic Countries and Poland in 2001-2020: an interrupted time-series analysis.

BACKGROUND: The Baltic countries-Lithuania, Latvia and Estonia-are characterized by a high rate of fully alcohol-attributable mortality, compared with Poland. Alcohol control policy measures implemented since 2001 in the Baltic countries included a restriction on availability and an increase in excise taxation, among others. The aim of the current study was to evaluate the relationship between alcohol control policy implementation and alcohol-attributable mortality in the Baltic countries and Poland. METHODS: Alcohol-attributable mortality data for 2001-2020 was defined by codes 100% alcohol-attributable for persons aged 15 years and older in the Baltic countries and Poland. Alcohol control policies implemented between 2001 and 2020 were identified, and their impact on alcohol-attributable mortality was evaluated using an interrupted time-series methodology by employing a generalized additive model. RESULTS: Alcohol-attributable mortality was significantly higher in the Baltic countries, compared with Poland, for both males and females. In the final reduced model, alcohol control policy significantly reduced male alcohol-attributable mortality by 7.60% in the 12 months post-policy implementation. For females, the alcohol control policy mean-shift effect was higher, resulting in a significant reduction of alcohol-attributable mortality by 10.77% in the 12 months post-policy implementation. The interaction effects of countries and policy tested in the full model were not statistically significant, which indicated that the impact of alcohol control policy on alcohol-attributable mortality did not differ across countries for both males and females. CONCLUSIONS: Based on the findings of the current study, alcohol control policy in the form of reduced availability and increased taxation was associated with a reduction in alcohol-attributable mortality among both males and females.

Hepatitis C Virus Epidemiology in Lithuania: Situation before Introduction of the National Screening Programme.

In 2022, the Lithuanian health authorities decided to pay general practitioners a fee for performing serological tests for hepatitis C virus (HCV) antibodies in the population born from 1945 to 1994 once per life and annual HCV testing for PWID and HIV infected patients. This study aimed to assess trends in HCV-related mortality in the country and the prevalence of HCV infection among patients with liver diseases and evaluate possibilities of screening for HCV infection at a primary health care center. Age-standardized mortality rates in 2010-2020 were calculated for deaths caused by chronic hepatitis C and some liver diseases. Data on HCV infection among patients with liver cirrhosis, cancer and transplant patients were collected from the tertiary care hospital Kauno Klinikos. The prevalence of anti-HCV and risk factors of HCV infection was assessed among patients registered with the health care center in Klaipeda, where a pilot study of screening was performed. No steady trend in mortality was observed. Analysis of medical documentation showed that 40.5% of patients with liver cirrhosis, 49.7% with cancers and 36.9% of transplant patients were HCV infected. Over the year, 4867 patients were screened in the primary health care center. Positive anti-HCV prevalence was 1.7% (2.1% in men and 1.3% in women). Blood transfusion and being a blood donor before 1993 also having tattoos were associated with higher odds of HCV infection. The study revealed the active participation of individuals in HCV screening.

Higher order solitary solutions to the meta-model of diffusively coupled Lotka-Volterra systems.

A meta-model of diffusively coupled Lotka-Volterra systems used to model various biomedical phenomena is considered in this paper. Necessary and sufficient conditions for the existence of nth order solitary solutions are derived via a modified inverse balancing technique. It is shown that as the highest possible solitary solution order n is increased, the number of nonzero solution parameter values remains constant for solitary solutions of order n > 3 . Analytical and computational experiments are used to illustrate the obtained results.

Alcohol control policies add to secular trends in all-cause mortality rates in young adults.

Alcohol consumption is a major risk factor for premature mortality. Although alcohol control policies are known to impact all-cause mortality rates, the effect that policies have on specific age groups is an important area of research. This study investigates the effect of alcohol control policies implemented in 2009 and 2017 in Lithuania on all-cause mortality rates. All-cause mortality rates (deaths per 100,000 people) were obtained for 2001-2018 by 10-year age groups (20-29, 30-39, 40-49 years, etc.). All-cause mortality rates, independent of macro-level secular trends (e.g., economic trends) were examined. Following a joinpoint analysis to control for secular trends, an interrupted time series analysis showed that alcohol control policies had a significant effect on all-cause mortality rates (p = .018), with the most significant impact occurring among young adults (20-29 and 30-39 years of age). For these age groups, their mortality rate decreased during the 12 months following policy implementation (following the policy in 2009 for those 20-29 years of age, p = .0026, and following the policy in 2017 for those 30-39 years of age, p = .011). The results indicate that alcohol control policy can impact all-cause mortality rates, above and beyond secular trends, and that the impact is significant among young adults.

Alcohol control policy measures and all-cause mortality in Lithuania: an interrupted time-series analysis.

BACKGROUND AND AIMS: Alcohol use has been identified as a major risk factor for burden of mortality and disease, particularly for countries in eastern Europe. During the past two decades, several countries in this region have implemented effective alcohol policy measures to combat this burden. The aim of the current study was to measure the association between Lithuania's alcohol control policies and adult all-cause mortality. DESIGN: Interrupted time-series methodology by means of general additive models. SETTING: Lithuania. PARTICIPANTS: Adult population of Lithuania, aged 20 years and older. MEASUREMENTS: Alcohol control policies were ascertained via a document review of relevant legislation materials. Policy effects were evaluated as follows: (1) slope changes in periods of legislative (non-)activity with regard to alcohol control policy (analysis 1); (2) level changes of three interventions following recommendations of the World Health Organization (analysis 2); and (3) level changes of seven interventions judged a priori by an international panel of experts (analysis 3). Mortality was measured by sex-stratified and total monthly age-standardized rates of all-cause mortality for the adult population. FINDINGS: During the period 2001-18, effective alcohol control policy measures were implemented on several occasions, and in those years the all-cause mortality rate declined by approximately 3.2% more than in years without such policies. In particular, the implementation of increased taxation in 2017 was associated with reduced mortality over and above the general trend for men and in total for all analyses, which amounted to 1452 deaths avoided (95% confidence interval = -166 to -2739) in the year following the implementation of the policy. CONCLUSIONS: Alcohol control policies in Lithuania appear to have reduced the overall adult all-cause mortality over and above secular trends.

Alcohol-related male mortality in the context of changing alcohol control policy in Lithuania 2000-2017.

INTRODUCTION AND AIMS: Over the recent decades, Lithuania has reported very high alcohol-related harm and mortality indicators when compared to other countries. This, among other reasons, led to an adoption of comprehensive evidence-based alcohol control policy measures back in 2007 and 2016. The aim of this study is to examine alcohol-related male mortality in the context of changing alcohol control policies over the period 2000-2017. DESIGN AND METHODS: The life table decomposition method was applied to estimate to what extent the age groups and causes of death are responsible for changes in male life expectancy in the period 2000-2017. Furthermore, a time series intervention model was used to study the impact of alcohol control measures on alcohol-related mortality. A seasonal autoregressive integrated moving average model was fitted. RESULTS: Male life expectancy increased by 6.23 years in the period 2007-2017, mainly due to a decrease in mortality from external causes of death (2.12 years), cardiovascular diseases (1.84 years) and alcohol-related disorders (0.86 years). Reduced male mortality in the 30-64 years age group also contributed to a large increase in male life expectancy during the same period. DISCUSSION AND CONCLUSIONS: The greatest positive effect of reduced alcohol-related mortality to male life expectancy was observed during the period 2007-2009. It overlaps with the start of implementation of the comprehensive alcohol control measures. However, further research on the impact of different alcohol policy interventions on various outcomes is needed.