The Role of Novel (Tobacco) Products on Tobacco Control in Italy

Cancers attributable to tobacco smoking in Italy in 2020

BACKGROUND

Tobacco smoking is still frequent in Italy and a major cause of cancer globally. We estimated the burden of smoking-related cancer in Italy.

METHODS

To calculate the population attributable fraction (PAF), we adopted a counterfactual scenario for which all individuals never smoked. The PAF of current and former smoking and second-hand smoke (SHS) was estimated for cancers associated with these habits according to the International Agency for Research on Cancer. Relative risk estimates and prevalence of exposure were derived from large-scale studies and national surveys, respectively. A 20-year latency period between exposure and cancer was considered. Cancer incidence data for 2020 and mortality data for 2017 were obtained from the Italian Association of Cancer Registries.

RESULTS

Tobacco smoking caused, in men and women respectively, 90.0 % and 58.3 % of lung; 67.8 % and 53.5 % of pharyngeal; 47.0 % and 32.2 % of bladder; 45.9 % and 31.7 % of oral; 36.6 % and 23.6 % of esophageal; 23.0 % and 14.0 % of pancreatic cancer and lower percentages of cancers at other sites. Tobacco smoking accounted for 23.9 % and 7.7 % of new cancer cases in 2020, and 32.1 % and 11.3 % of cancer deaths in 2017 in men and women, respectively, corresponding to 17.3 % of cases and 24.5 % of cancer deaths overall. The PAF of lung cancer due to SHS in never smoking women married with smokers was 13.0 %.

CONCLUSIONS

Tobacco smoking is a primary cause of cancer in Italy in both sexes. Tobacco control policies are warranted.

Evaluating trends in cigarette and HTP use in Japan and measurement issues in the National Health and Nutrition Survey

INTRODUTION

Studies have reported that the rapid rise in heated tobacco product (HTP) sales in Japan accompanied an accelerated decline in cigarette sales. However, these studies do not distinguish whether those who previously smoked cigarettes became dual users with HTPs (smoking fewer cigarettes) or instead switched completely to HTPs. If HTPs present lower health risks than cigarettes, replacing cigarettes with HTPs is more likely to improve public health than cigarette users continuing as dual users.

METHODS

To evaluate the role of HTP introduction relative to smoking prevalence, we examine trends in cigarette prevalence as related to trends in HTP use using Japan's National Health and Nutrition Survey (NHNS) from 2011 to 2019. We develop measures of relative changes in smoking prevalence use by age and gender in the pre-HTP and post-HTP periods. We then analyse prevalence data by year using joinpoint regression to statistically distinguish changes in trend.

RESULTS

Compared with the pre-HTP 2011-2014 period, cigarette prevalence decreased more rapidly during the post-HTP 2014-2017 period, particularly among younger age groups. However, the changing format of NHNS questions limits our ability to determine the impact on smoking prevalence, particularly after 2017.

CONCLUSIONS

While suggesting that HTPs helped some people who smoke to quit smoking, this study also shows the difficulties in eliciting accurate survey responses about product use and distinguishing the impact of a potentially harm-reducing product in an environment subject to rapidly evolving patterns of use.

Analysis of the direct economic impact of smoking-related hospitalizations in Italy

INTRODUCTION

Tobacco-related diseases have a substantial economic impact in terms of medical expenses, loss of productivity, and premature death. Tobacco use is estimated to be responsible for more than 90000 deaths each year in Italy. We aimed to evaluate the annual direct economic impact on the National Health System of hospitalizations attributable to tobacco smoking in Italy.

METHODS

We analyzed data from all the hospitalizations of patients aged ≥30 years that occurred in Italy for 12 selected tobacco-related diseases, during 2018. These diseases included oropharyngeal cancer, esophageal cancer, gastric cancer, lung cancer, pancreatic cancer, bladder cancer, laryngeal cancer, ischemic heart disease, stroke, diseases of arteries, arterioles, and capillaries, pneumonia and influenza, and chronic obstructive pulmonary disease. We obtained information on 984322 hospital discharge records, including each hospitalization's direct costs. Using relative risk estimates from the scientific literature, we computed the population attributable fraction for various tobacco-related diseases to estimate the economic impact attributable to tobacco smoking.

RESULTS

One-third of all hospitalizations occurred in 2018 in Italy among people aged ≥30 years for 12 tobacco-related diseases were found to be attributable to smoking, accounting for a total cost of €1.64 billion. Among the diseases considered, those with the highest expenditures attributable to tobacco smoking were ischemic heart disease, cerebrovascular disease, and lung cancer, accounting for €556 million, €290 million, and €229 million, respectively.

CONCLUSIONS

Tobacco has a substantial economic impact in Italy, accounting for around 6% of the total cost of hospitalizations in 2018. This figure is expected to be largely underestimated due to several conservative assumptions adopted in the statistical analyses. It is imperative to prioritize comprehensive tobacco control measures to counteract the huge healthcare costs due to tobacco smoking.

Patterns of cigarette, heated tobacco product, and nicotine vaping product use among Korean adults: Findings from the 2020 ITC Korea Survey

INTRODUCTION

Non-combustible nicotine products (NCNPs), such as heated tobacco products (HTPs) and nicotine vaping products (NVPs) have gained a significant nicotine market share in South Korea. This descriptive study examined patterns of regular cigarette and NCNP use among South Korean adults.

METHODS

Data were from the 2020 International Tobacco Control Korea Survey and included 4016 adults (aged ≥19 years) in the Republic of Korea who were regularly (at least weekly) using at least one NCNP (NVP/HTP, n=2117) and/or smoked cigarettes (n=3763) at the time of the survey. Weighted descriptive estimates were computed to assess respondents' nicotine product use among all respondents (exclusive, dual, or triple use). Thereafter, we identified sociodemographic characteristics associated with NCNP use (n=2117).

RESULTS

Among Korean adults who were smoking cigarettes, 83.1% (95% CI: 81.6-84.6) did so exclusively, and 16.9% (95% CI: 15.4-18.4) smoked cigarettes and used NCNPs. Among those who used HTPs (n=1877), 14.9% (95% CI: 11.5-18.4) did so exclusively, 59.6% used HTPs and smoked cigarettes (95% CI: 55.4-63.1), 4.2% used HTPs and vaped (95% CI: 11.5-18.4), and 21.6% (95% CI: 18.9-24.2) used all three products. Of adults who used HTPs and smoked cigarettes, 86.6% smoked daily. Among those who vaped (n=865), 13.3% did so exclusively (95% CI: 9.4-17.1), 55.6% (95% CI: 49.6-61.5) vaped and smoked cigarettes, 5.1% (95% CI: 1.7-8.6) used HTPs and vaped, and 26.1% (95% CI: 22.1-30.1) used all three products. Of adults who vaped and smoked cigarettes, 82.4% (95% CI: 77.1-87.7) smoked daily.

CONCLUSIONS

Cigarettes remain the most commonly used nicotine product in South Korea, and among adults using heated tobacco and/or vaping products, the majority were also smoking. Research is urgently needed to assess whether adults who are using an NCNP are doing so to quit, or rather to complement their cigarette smoking.

Changes in Substance Use Treatment Providers' Delivery of the 5A's for Non-Cigarette Tobacco Use in the Context of a Comprehensive Tobacco-Free Workplace Program Implementation

Tobacco use treatment is not prioritized in substance use treatment centers (SUTCs), leading to tobacco-related health inequities for patients with substance use disorders (SUDs) and necessitating efforts to enhance providers' care provision. Training providers on how to treat tobacco use increases their intervention on patients' smoking, but limited work addresses its effects on their non-cigarette tobacco use intervention provision. This study redressed this gap using data from 15 unaffiliated SUTCs in Texas (serving 82,927 patients/year) participating in a tobacco-free workplace program (TFWP) that included provider education on treating tobacco use, including non-cigarette tobacco use. SUTC providers completed surveys before (n = 259) and after (n = 194) TFWP implementation. Past-month screening/intervention provision for non-cigarette tobacco use (the 5A's; ask, advise, assess, assist, arrange) and provider factors theoretically and practically presumed to underlie change [i.e., beliefs about concurrently treating tobacco use disorder (TUD) and other SUDs, self-efficacy for tobacco use assessment (TUA) delivery, barriers to treating tobacco dependence, receipt of tobacco intervention training] were assessed. Generalized linear or linear mixed models assessed changes over time from before to after TFWP implementation; low vs. high SUTC-level changes in provider factors were examined as moderators of changes in 5A's delivery. Results indicated significant improvement in each provider factor and increases in providers' asking, assisting, and arranging for non-cigarette tobacco use over time (ps < 0.04). Relative to their counterparts, SUTCs with high changes in providers' beliefs in favor of treating patients' tobacco use had greater odds of advising, assessing, assisting, and arranging patients, and SUTCs with greater barrier reductions had greater odds of advising and assisting patients. Results suggest that TFWPs can address training deficits and alter providers' beliefs about treating non-tobacco TUD during SUD care, improve their TUA delivery self-efficacy, and reduce intervention barriers, ultimately increasing intervention provision for patients' non-cigarette tobacco use. SUTCs with the greatest room for improvement in provider beliefs and barriers to care provision seem excellent candidates for TFWP implementation aimed at increasing non-cigarette tobacco use care delivery.

Self-efficacy in predicting smoking cessation: A prospective study in Italy

INTRODUCTION

Predicting the success of smoking cessation might be crucial to guide towards the treatment of smoking dependence in a clinical setting. We analyzed the potential determinants of successful smoking cessation with a specific focus on self-efficacy in predicting quitting smoking.

METHODS

All consecutive smokers (n=478; 224 men and 254 women) attending the Careggi University Hospital Smoking Cessation Service in Florence (Italy) in 2018-2019 provided information on self-efficacy in predicting smoking cessation, using a 1-10 rating scale during their first visit. Patients were followed up for success in quitting smoking at 3, 6 and 12 months, validated through CO exhaled measurement. To evaluate the association between self-efficacy and the probability of success, we estimated multivariable relative risks (RRs) and corresponding 95% confidence intervals (CIs) through log-binomial models for longitudinal data.

RESULTS

Overall, 47.9% of smokers succeeded in their attempt to quit at 3 months, 40.2% at 6 months, and 33.9% at 12 months. Compared to low self-efficacy (rating scale 1-5), the RR of success in quitting smoking was 1.40 (95% CI: 1.06-1.85) for intermediate self-efficacy (scale 6-7) and 1.64 (95% CI: 1.28-2.12) for high self-efficacy (scale 8-10).

CONCLUSIONS

Self-efficacy is an independent determinant of smoking cessation. We recommend to systematically collect self-efficacy, together with other relevant variables, to predict successful smoking cessation. Moreover, strategies to develop and maintain high levels of self-efficacy are essential to increase quit success and improve treatment.

Trends in Adolescent Substance Use: Analysis of HBSC Data for Four Eastern European Countries, 1994-2018

The aim of the study was to analyze the trends of adolescent substance use in four eastern European countries over the time period from 1994 to 2018. The four countries in focus were selected based on their shared historical backgrounds and major economic and social transformations experienced.

METHODS

Two decades (1993/1994-2017/2018) of repeated cross-sectional data from the Estonian, Latvian, Lithuanian, and Polish Health Behaviour in School-aged Children survey were used. Data comprised 42,169 school children 15 years of age (9th grade). The following categories of substance use were included: regular alcohol consumption and drunkenness, tobacco smoking, electronic cigarette smoking, and cannabis use. Trends in substance use over time were tested using Jonckheere's trend test.

RESULTS

Prevalence of substance use among adolescents over time revealed that the Baltic states and Poland have faced relatively different temporal trends. In the Baltic states, there was a general increase during the period of 1994-2002, which was followed by a period of peaking or stability between 2002-2010, and then decreasing trends of these risky behaviors from 2010 onwards. In Poland, the same period had less consistent patterns, with decreasing trends starting much earlier on. The prevalence of cannabis use, which had been measured since 2006, had its own unique pattern with many fluctuations within and between countries.

CONCLUSIONS

The findings on the prevalence of substance use among adolescents from 1994 to 2018 revealed that the Baltic states and Poland have faced relatively different temporal trends. These countries might be facing new public health challenges in a near future, e.g., use of electronic cigarettes and cannabis use among adolescents.

Documento de posicionamiento de la Sociedad Española de Neumología y Cirugía Torácica (SEPAR) ante las estrategias de reducción del daño del tabaco

In the last decade, the appearance of electronic cigarettes and new tobacco products (heated tobacco or smokeless tobacco) has generated a growing interest in harm reduction methods that are defined as mechanisms that seek to reduce the harmful consequences of tobacco without give up the pleasant effects of it by replacing it with these new electronic devices. However, these products are addictive and not safe as they contain nicotine. Harm reduction is a false solution as it represents a commercial strategy of the tobacco industry to increase its sales, making it difficult to control smoking, since it keeps smokers from consuming tobacco and prevents them from making serious attempts to quit. In addition, these products are a gateway to adolescents in tobacco.

Use of electronic cigarettes and heated tobacco products during the Covid-19 pandemic

Only a few studies investigated changes in electronic cigarette (e-cigarette) and heated tobacco product (HTP) use during pandemic restrictions. We conducted a web-based cross-sectional study of a representative sample of 6,003 Italian adults during the strictest phase of the Covid-19 lockdown (April–May 2020). Participants were asked to report changes in e-cigarette and HTP use compared to before the pandemic. E-cigarette users increased from 8.1% to 9.1% and HTP users from 4.0% to 4.5%. Among e-cigarette non-users before lockdown, 1.8% started using e-cigarettes during lockdown. New users were more frequently younger (p for trend 0.001), men (odds ratio, OR 1.56; 95% confidence interval, CI: 1.03–2.34), cannabis users (OR 2.35; 95% CI: 1.33–4.13), gamblers (OR 3.34; 95% CI: 2.18–5.11) and individuals with anxiety symptoms (OR 1.58; 95% CI: 1.00–2.52). 1.0% of HTP non-users started using it during lockdown. New users were less frequently current than never cigarette smokers (OR 0.19; 95% CI: 0.06–0.61) and more frequently gamblers (OR 2.23; 95% CI: 1.22–4.07). E-cigarettes and HTPs played little role as smoking cessation tools for hardcore smokers but rather provided opportunities for young never smokers to engage in socially acceptable activities, perhaps reflecting the obstacles they faced in obtaining other addictive substances during confinement.

Electronic cigarette use in 12 European countries. Results from the TackSHS survey

BACKGROUND

Limited data on electronic cigarette prevalence, patterns and settings of use are available from several European countries.

METHODS

Within the TackSHS project, a face-to-face survey was conducted in 2017-2018 in 12 European countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania and Spain). Overall, 11,876 participants, representative of the population aged ≥15 years in each country, provided information on electronic cigarette.

RESULTS

2.4% (95% confidence interval, CI: 2.2-2.7) of the subjects (2.5% among men and 2.4% among women; 0.4% among never, 4.4% among current- and 6.5% among ex-smokers) reported current use of electronic cigarette, ranging from 0.6% in Spain to 7.2% in England. Of the 272 electronic cigarette users, 52.6% were dual users (i.e., users of both electronic and conventional cigarettes) and 58.8% used liquids with nicotine. In all, 65.1% reported using electronic cigarette in at least one indoor setting where smoking is forbidden, in particular in workplaces (34.9%), and bars and restaurants (41.5%). Multivariable logistic regression analysis showed that electronic cigarette use was lower among older individuals (p for trend <0.001) and higher among individuals with high level of education (p for trend 0.040). Participants from countries with higher tobacco cigarette prices more frequently reported electronic cigarette use (odds ratio 3.62; 95% CI: 1.80-7.30).

CONCLUSIONS

Considering the whole adult population of these 12 European countries, more than 8.3 million people use electronic cigarettes. The majority of users also smoked conventional cigarettes, used electronic cigarettes with nicotine and consumed electronic cigarettes in smoke-free indoor areas.

Cigarette Smoking as a Predictor of Male DUI Recidivism

This study aimed to investigate the predictors of recidivism in first-time driving under the influence (DUI) offenders, analyzing variables derived from medico-legal and toxicological examinations. The research was structured as a comparative study for the period 2012-2019. DUI offenders with a blood alcohol concentration >0.5 were included in the study. The case group consisted of recidivist offenders, while the comparison group consisted of first-time offenders. Personal data, socioeconomics, and parameters linked to the DUI were compared between the two groups. Significance was determined by chi-square and Mann-Whitney tests. To prevent confounding effects, multivariate binary logistic regression analysis was performed. Our sample encompassed 1678 subjects (196 in the case group, 1482 in the comparison group). Gender, driving license category, education, and tobacco use resulted in significant differences between the groups. In a model including age at DUI, education, and smoking habit as independent variables, higher educational levels (high school, bachelor's) and older age protected against recidivism, whereas smoking >20 cigarettes/day was an independent risk factor for recidivism. Recidivist offenders have specific characteristics indicating different therapeutic programs and carefulness in driving license regranting. A higher tobacco consumption in recidivists suggests that the use of this substance could influence the risk of DUI for reasons that will need to be explored.

Prevalence and determinants of quitting smoking after cancer diagnosis: a prospective cohort study

OBJECTIVE

To describe smoking behaviours of patients with incident cancer attending an Italian cancer centre and to examine changes in their smoking habits within 12 months from cancer diagnosis, evaluating determinants of smoking cessation.

METHODS

A hospital-based prospective cohort included patients hospitalized in an Italian cancer centre (2016-2018). Patients were mostly female (74%) and included a limited proportion of aerodigestive cancers (7%). Face-to-face interviews were performed during hospital stay to gather information on patient characteristics and smoking history. Changes in smoking habits were assessed through telephone interviews at 3, at 6, and at 12 months after cancer diagnosis.

RESULTS

Among 1011 enrolled patients, 222 (22%) were current smokers at cancer diagnosis. Smoking prevalence was high in male patients (30%), in patients <50 years old (28%), in those with aerodigestive cancers (50%), and in those diagnosed at advanced stages (26%). Among current smokers at cancer diagnosis, 38% quit smoking after 12 months, 26% reduced intensity, and 36% did not modify smoking habits. Smoking cessation was associated with chemotherapy and, although not statistically significant, with female sex, older age, and advanced cancer stage. Patients with gastrointestinal, breast, or genitourinary cancer and those treated with surgery were less likely to quit smoking.

CONCLUSIONS

Our results highlighted that 62% of smoking patients with cancer did not quit the habit. Smoking cessation programs targeted to patients with cancer need intensification, particularly for those who may underestimate smoking effects after diagnosis.