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Introduction This study examines whether smoke-free laws are differentially associated with youth smoking outcomes by parental education, race/ethnicity, sex, and college plans in a U.S. sample. Methods This study assessed the relationships between smoke-free laws in workplaces and hospitality venues (restaurants/bars) and past 30-day smoking participation, first cigarette initiation, and daily smoking initiation within a repeated cross-sectional sample of 8th, 10th, and 12th graders from the Monitoring the Future study. Data were collected between 2001 and 2018 and were analyzed in 2020–2021. Grade-stratified Poisson models were used to calculate prevalence ratios and average marginal effects, incorporating interaction terms to examine differential associations across groups. Results Hospitality smoke-free laws were significantly associated with lower probabilities of smoking participation in all grades as well as with first cigarette and daily smoking initiation in 8th and 10th grade. Workplace smoke-free laws were associated with lower probabilities of smoking participation among 10th and 12th graders as well as with first cigarette and daily smoking initiation among 10th graders. Average marginal effects ranged from −0.4 percentage points (hospitality laws and daily smoking initiation in 8th and 10th grades) to −2.2 percentage points (workplace laws and smoking participation in 10th grade). Associations between smoke-free laws and a lower probability of smoking participation were most pronounced among students who definitely planned to attend college. Other instances of effect modification suggested more pronounced associations for students who were female and from high-SES households; however, relationships varied by grade. Conclusions Smoke-free laws were associated with reduced smoking among youth; however, associations varied by grade, sex, parental education, and college plans.

Objective: This study aimed to explore the individual, familial, and social factors associated with different smoking status in Thai adolescents from the 2017 Cigarette Smoking and Alcohol Drinking Behavior Survey (CSAD) Methods: The nationally representative sample of 6046 adolescents aged 15-19 years who took part in the 2017 CSAD in Thailand. Multinomial logistic regression analysis was conducted to explore the associations between the individual, familial, and social factors and different smoking status. Results: The daily smoking and occasional smoking was 6.4% and 3.3%, respectively. Gender, alcohol use, substance use, attitudes toward smoking, exposure to secondhand smoke at home, anti-smoking social media campaign, and graphic warning labels were related to both daily and occasional smoking. Daily smoking was associated with exposure to secondhand smoke at school, restaurant, and public transport, and exposure to tobacco advertising. Conclusion: These findings suggest that smoking prevention intervention should particularly focus on these factors and also need to develop the anti-smoking policies for smoking prevention among adolescents.

Introduction Standardised packaging on tobacco products was required in Norway July 1, 2018. We report pre-registered analyses of the potential impact on daily smoking and on daily snus use among women and men. Methods Interrupted time series (segmented regression) on repeated cross-sectional surveys (2012–2019) from two sources: probability samples (Registry Sample, N = 46,957) and market research samples (Market Research Sample, N = 64,465) of Norwegian adults aged 16–79. Self-reported daily smoking and snus use were regressed on a step change impact variable, controlled for trend and demographics (sex, age, region, and education based on national registers in the Registry Sample, and self-reported in the Market Research Sample). Results There were tendencies of a decline in smoking (Odds Ratio [OR] = 0.94; 95% confidence interval [CI] = 0.87, 1.02; lower-tail p-value [Plower] = 0.07), and women’s snus use (OR = 0.89; CI = 0.77, 1.03; Plower = 0.06), but not men’s snus use (OR = 1.01; CI = 0.92, 1.11; Plower = 0.59). Analyses using only the Registry Sample did not detect declines in smoking (OR = 0.99; CI = 0.88, 1.11; Plower = 0.43) or women’s snus use (OR = 0.99; CI = 0.80, 1.24]; Plower = 0.48), and indicated no decline in men’s snus use (OR = 1.18; CI = 1.03, 1.35; Plower = 0.99). Exploratory analyses suggested potential acceleration of the declining trend in smoking (change in trends, OR = 0.97) and of the increasing trend in men’s snus use (OR = 1.03). Conclusions The analyses indicate that standardised packaging in Norway did not produce a decline in men’s snus use. Results are inconclusive regarding smoking and women’s snus use. Exploratory analyses indicated a decrease in smoking and an increase in men’s snus use. Implications We could not confirm or disconfirm whether standardised packaging is an effective tobacco control measure in a Norwegian context. According to our analyses, standardized packaging may have effects on smoking prevalence and women’s snus use, but is unlikely to reduce men’s snus use. The present results may reflect higher effectiveness of standardised packaging for products with stronger health warnings. As the results varied according to samples and outcomes, the study underlines the importance of pre-registering future analyses on this topic. Future confirmatory research should test models of gradual impact of standardised packaging.

Background The prevalence of atopic dermatitis (AD) has increased, but studies in adult or elderly populations are sparse. Methods We investigated 12-month and lifetime prevalences of AD in the Finnish adult population ≥30 years of age and analyzed living environment factors, socioeconomic factors, lifestyle-related factors, and serum vitamin D levels for their associations with AD in a national health examination survey. Results The lifetime prevalence was 21.9% and 12-month prevalence 10.1%. The highest prevalence (lifetime 28.6%, 12-month 15.4%) was seen in subjects 30-39 years of age. Prevalence decreased with age. Subjects with highly educated parents were more likely to have active AD, though there was no effect of higher education in subjects themselves. Younger age and being an ex-smoker were associated with active AD. Female sex and daily smoking increased the risk in subjects 30-49 years of age. There was no dose– response relationship to serum vitamin D levels and no association with the living environment. Conclusions Our data show that the number of adult patients with atopic dermatitis has grown and prevalence numbers of AD in Finnish adults are among the highest reported. Together with the aging of the society, the burden of AD is not limited to childhood.

Introduction Greater availability of tobacco product retailers in an area may be associated with smoking behaviors, and the majority of people who smoke purchase their cigarettes at gas stations and convenience stores. This cross-sectional study investigates the associations of overall tobacco retailer density and gas/convenience density with adult smoking behaviors. Methods This study built a list of tobacco retailers in 2014 and calculated the county-level number of retailers per 1,000 people. Individual-level smoking behavior data were drawn from the 2014–2015 Tobacco Use Supplement for a sample of adults (n=88,850) residing in metropolitan counties across the U.S. General estimating equation models were fit to investigate the associations between retailer density and cigarette smoking behaviors (smoking status, quit attempt, quit length). Analyses were conducted in 2020. Results A greater number of tobacco retailers (AOR=1.63, 95% CI=1.35, 1.96) and gas stations and convenience stores (AOR=3.29, 95% CI=2.39, 4.52) per 1,000 people were each associated with a higher odds of a respondent smoking every day than the odds of a respondent not smoking. In addition, both measures were associated with a higher odds of a respondent being an every-day than being a some-day smoker. Associations for gas/convenience density were similar in models that additionally controlled for other tobacco retailers (excluding gas/convenience). Study results did not support associations between retailer density and cessation. Conclusions Tobacco retailer density, especially gas/convenience density, is correlated with daily smoking, the most harmful tobacco use behavior. Calculating tobacco retailer density using gas/convenience stores may be a feasible proxy for overall tobacco retailer density.

Objectives: This study investigated the smoking behavior and its association with the availability of tobacco products purchases among Korean adolescents. Methods: The data of the 2019 Korea Youth Risk Behavior Survey were used (N =57,303). This study assessed 3 tobacco products: cigarettes, e-cigarettes, and heated tobacco products. Smoking behavior including lifetime, current, daily, heavy smoking, and attempting to quit and its association with the availability of tobacco products for purchase was assessed. Results: Overall, 92.9% did not try to purchase tobacco products during the past 30 days, 2.2% found it impossible to purchase, 0.8% could buy with a lot of effort, 1.7% could buy with little effort, and 2.3% could buy easily without any effort. Lifetime smokers were 13.8% (12.7% for cigarettes, 7.4% for e-cigarettes, and 4.9% for heated tobacco products). Among lifetime smokers, the current smoking rates for cigarettes, e-cigarettes, and heated tobacco products were 48.5%, 22.9%, and 19.0%, and the rates were lower in adolescents who responded that it was impossible to buy tobacco products. Among current smokers, the daily smoking rates were lower in adolescents who were found it impossible to buy tobacco products. Conclusions: The ease of access to tobacco products was associated with higher use of cigarettes, e-cigarettes, and heated tobacco products and lower attempts to quit smoking in Korean adolescents.

Background This study investigates the socio-demographic factors associated with smoking status in five Southeast Asian countries: Malaysia, Thailand, Indonesia, Vietnam, and Philippines. Methods This cross-sectional study utilizes data of adults ≥15 years who completed the Global Adult Tobacco Surveys. Ordered probit analysis is used to account for the smoking statuses of non-smokers, occasional smokers, and daily smokers. Results Malaysian and Vietnamese households with more family members face lower smoking likelihoods than otherwise. Urbanites in Philippines and rural residents in Thailand and Indonesia are more likely to smoke on occasional and daily basis than others. Males are consistently more likely to smoke occasionally or daily and less likely to be non-smokers than females across all countries. Younger middle-age (retiree) individuals aged 30-35 (≥60) years in Malaysia and Thailand exhibit higher (lower) likelihoods to smoke occasionally or daily than their younger cohorts aged 15-29 years. Individuals aged 30 years and above in Indonesia, Vietnam, and Philippines display higher daily smoking propensities than others. Higher education levels dampens smoking likelihoods and increases non-smoking propensities in all countries. Non-government or self-employed workers in all countries are more likely to smoke occasionally or daily than unemployed persons. Being married is associated with higher non-smoking likelihoods in Thailand although this association is not evident in Malaysia. Conclusion These findings suggest that a portfolio of targeted interventions is necessary to meet the needs of specific subpopulations within the various countries. .

Objective: To test whether smoking-specific risk factors in early adulthood mediate prediction to daily smoking from childhood ADHD. Methods: Participants were 237 with and 164 without childhood ADHD. A smoking risk profile score comprising smoking-specific factors measured between ages 18 to 25 (e.g., craving severity) and age of initiation was tested as mediator of the association between childhood ADHD and age 29 daily smoking. Results: Childhood ADHD predicted age 29 smoking (β = −.15, p = .019), 35% of ADHD versus 17% of nonADHD, and the profile score (β = −.07, p = .004), which in turn mediated prediction to age 29 daily smoking (β = −.03; p = .007). When tested individually, three profile variables (# cigarettes/day, difficulty concentrating during abstinence, and nicotine dependence) were significant mediators ( ps = 0.005–0.038), above and beyond early adult smoking, ADHD persistence, and delinquency. Conclusions: These behavioral smoking characteristics help explain later daily cigarette smoking for adults with ADHD histories and may need to be targeted in intervention.

Mekuriaw Wuhib Shumye,1 Belachew Tegegne,1 Sewunet Ademe,1 Moges Workneh,1 Million Abera,2 Gugsa Nemera,2 Fikadu Balcha2 1School of Nursing and Midwifery, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia; 2School of Nursing, Faculty of Health Sciences, Institute of Health, Jimma University, Jimma, EthiopiaCorrespondence: Mekuriaw Wuhib Shumye Tel +251 92 126 8193Email eyasuwuhib@gmail.comBackground: Hypertension and diabetes mellitus are the most common comorbid non-communicable chronic diseases that threaten human beings worldwide. Hypertension is associated with an increased risk of diabetes mellitus and vis-a-vis. However, there is limited information on the magnitude of diabetes mellitus in hypertensive patients in sub-Saharan countries. Hence, this study assessed the magnitude of diabetes mellitus and its associated factors among adult hypertensive patients attending a hypertension clinic in Northeast Ethiopia.Methods: Institution-based cross-sectional study conducted on 407 participants from April to June 2019. The participants were included in the study using systematic random sampling. Data were collected using the WHO STEPwise method. We run descriptive statistics to determine the magnitude of diabetes mellitus in hypertensive patients and logistic regression to identify factors associated with diabetes, and statistically significant associations were declared at a P-value of less than 0.05.Results: The magnitude of diabetes mellitus among hypertensive patients was 29.1%, of whom 24% were newly diagnosed. Respondents with a family history of diabetes mellitus (AOR: 4.6, CI: 2.2, 9.48), increased waist-to-height ratio (AOR: 21.5, CI: 5.62,43.67), increased waist circumference (AOR: 3.2, CI: 1.58, 6.53) and primary school educational status (AOR: 3.2, CI: 1.41, 7.25) were more likely to have diabetes. Similarly, respondents with longer hypertension duration (AOR: 4.09, CI: 1.22, 13.64), past daily smoking history (AOR: 10.46, CI: 1.59,6.8), increased diastolic blood pressure (AOR: 4.15, CI: 1.51, 11.37), and increased waist circumference (AOR: 7.5, CI: 4.47,14.95) were more likely to be diagnosed newly for diabetes.Conclusion: Our study indicated around one-third of hypertensive patients had diabetes. Family history of diabetes mellitus, primary educational status and increased waist-to-height ratio and waist circumference were significant predictors of diabetes among hypertensive patients. The finding suggests the need for regular diabetic screening among hypertensive patients.Keywords: magnitude, hypertension, diabetes mellitus, Ethiopia

Background No studies to date have addressed the association of mental disorder with smoking and drinking behaviors independent of anxiety and depressive symptoms. We therefore examined this association, stratified by age and sex, to determine the target population for behavioral modification in Japan. Methods We analyzed data from participants aged 20-79 years without hospitalized or institutionalized status who participated in the nationwide Comprehensive Survey of Living Conditions conducted in 2016. Prevalence ratios (PRs) for current smoking, heavy daily smoking (>20 cigarettes per day), at-risk drinking (>100 g alcohol per week), and heavy drinking (>350 g) were calculated with adjustment for potential confounders. After stratification by age (20-39, 40-64, and 65-79 years) and sex, prevalence and PRs were calculated using propensity scores. Results From among 340,194 participants, 8275 (2.4%) had mental disorder. Presence of mental disorder was significantly associated with current smoking (PR=1.18, 95%CI=1.12-1.23) and heavy daily smoking (PR=1.35, 95%CI=1.21-1.50) and inversely associated with at-risk drinking (PR=0.70, 95%CI=0.66-0.75). PRs for smoking behavior were higher in women than in men and in younger adults than in the other age groups. They were particularly high in younger women (PR=1.67 for current smokers and PR=2.17 for heavy daily smokers). Limitations Our findings were obtained from a cross-sectional study. Conclusion This is the first evidence that the association of mental disorder with smoking behavior is independent of anxiety and depressive symptoms. Our results indicate the need for tailored behavioral modification interventions for young people with mental disorders in Japan, particularly young women.

Occasional smoking is defined as any smoking occurring on a less than daily basis. Social smoking, i.e. smoking primarily in social contexts, is a sub-group of occasional smoking. Data on occasional cigarette smoking and the subset of social smoking among third level students are limited. (1) To determine prevalence of occasional/social smoking among third level students in an Irish university; (2) to evaluate students’ attitudes to occasional/social smoking, including perceived benefits and harm; (3) to explore when students commenced occasional/social smoking, their reasons and continued smoking habits; and (4) to determine any influence of other factors, e.g. alcohol consumption, on occasional/social smoking. An anonymous online survey was distributed to undergraduates and postgraduates, using SurveyMonkey. Data were analysed in Microsoft Excel. Of 18,407 students surveyed, 1310 (7.1%) responded;1267 (96.7%) provided adequate data for analysis. Of the 1267 students, 423 (33.4%) self-reported as current smokers of whom 106/1267 (8.4%) self-classified as daily smokers and 317/1267 (25%) as occasional smokers. The 25% of occasional smokers comprised 266/1267 (21%) social smokers and 51/1267 (4%) non-social smokers. Occasional smokers tended to start smoking earlier and think less about quitting than daily smokers. Of 423 current smokers, 386 (97.2%) reported that alcohol increased their smoking habits. Prevalence of self-reported occasional smoking among university students was higher than daily smoking. Most occasional smokers primarily smoked in social contexts. All current smokers reported that alcohol increased cigarette intake. Effective intervention campaigns tailored to determinants of occasional/social smoking are needed as part of induction to third level.

The purpose of the research is to study smoking behavior in Chuvashia (one of the regions of Russia) in dynamics from 2014 to 2019. Material and methods. 2513 residents of the Chuvash Republic (1165 men and 1348 women) aged 15 to 92 years (average age - 43.0 ± 16.9 years) were interviewed anonymously. The questionnaire was used for the Global Adult Tobacco Survey (GATS), which is the standard for monitoring global tobacco use. Results. In 2019, 19.9% of the respondents (36.7% among men and 5.4% among women) regularly used tobacco products. On average, they smoked more than 14 cigarettes a day, the average age at starting daily smoking was 17.8 years. 53.8% of smokers have sought medical help in the last year and 76.2% of them received advice from a health worker to quit smoking. In 2019, compared to 2014, the number of intermittent smokers and former daily smokers significantly decreased. The average age of starting smoking increased from 16.5 to 17,8 years (for women it decreased from 18 to 17.7 years). Men began to try to quit smoking more often, while women did it less often. Both received the advice of a health worker to quit smoking more often. The respondents were less likely to pay attention to information on cigarette packs about the dangers of smoking, especially women, and, as a result, fewer smokers of both sexes thought about quitting smoking. The positive tendencies include a significant decrease in secondhand smoke at home (14,8%) and work (10%), including secondhand smoke among pregnant and lactating women. Conclusion. Over the past five years, the number of smokers in the Chuvash Republic has remained stable, which is associated with the state policy to combat tobacco consumption in Russia. However, a decrease in the proportion of the respondents who pay attention to information about the dangers of tobacco and who are less likely to think about abandoning tobacco smoking requires the search for new forms of prevention of smoking behavior among the residents of Chuvashia.

Patients with schizophrenia display characteristic smoking-related behaviors and genetic correlations between smoking behaviors and schizophrenia have been identified in European individuals. However, the genetic etiology of the association remains to be clarified. The present study investigated transethnic genetic overlaps between European-based smoking behaviors and the risk of Japanese schizophrenia by conducting polygenic risk score (PRS) analyses. Large-scale European genome-wide association study (GWAS) datasets (n = 24,114–74,035) related to four smoking-related intermediate phenotypes [(i) smoking initiation, (ii) age at smoking initiation, (iii) smoking quantity, and (iv) smoking cessation] were utilized as discovery samples. PRSs derived from these discovery GWASs were calculated for 332 Japanese subjects [schizophrenia patients, their unaffected first-degree relatives (FRs), and healthy controls (HCs)] as a target sample. Based on GWASs of European smoking phenotypes, we investigated the effects of PRSs on smoking phenotypes and the risk of schizophrenia in the Japanese population. Of the four smoking-related behaviors, the PRSs for age at smoking initiation in Europeans significantly predicted the age at smoking initiation (R2 = 0.049, p = 0.026) and the PRSs for smoking cessation significantly predicted the smoking cessation (R2 = 0.092, p = 0.027) in Japanese ever-smokers. Furthermore, the PRSs related to age at smoking initiation in Europeans were higher in Japanese schizophrenia patients than in the HCs and those of the FRs were intermediate between those of patients with schizophrenia and those of the HCs (R2 = 0.015, p = 0.015). In our target subjects, patients with schizophrenia had a higher mean age at smoking initiation (p = 0.018) and rate of daily smoking initiation after age 20 years (p = 0.023) compared with the HCs. A total of 60.6% of the patients started to smoke before the onset of schizophrenia. These findings suggest that genetic factors affecting late smoking initiation are associated with the risk of schizophrenia.

Blood pressure is one of the critical indicators of a person's physiological state. This indicator and the pulse reflect the state of the cardiovascular system. Their values can directly or indirectly determine the presence of diseases of the heart and blood vessels, and other organs. Therefore, determination of blood pressure among people of different levels of health is an urgent task of modern medicine. The aim of the work: hygienic assessment and monitoring of blood pressure in medical students smoking e-cigarettes. Materials and methods: Quantitative and qualitative analysis of the level of systolic, diastolic pressure, mean arterial and pulse pressure in medical students aged 18-23 years, before and after smoking e-cigarettes was carried out. Results: The findings of the study fully reflect the importance of tonometry. Thus, the level of systolic blood pressure increased after 10 minutes by an average of 7.7%, but after 50 minutes returned to optimal value. The level of diastolic blood pressure increased after 10 minutes by an average of 8.8%, but after 50 minutes – an increase of 4%. Conclusions: This type of changes in the short period are not critical, as the body’ compensatory mechanisms stabilize hemodynamic parameters, but daily smoking can lead to the development of COPD, as well as pathology of the cardiovascular system, including myocardial ischemia or heart failure. Therefore, smoking e-cigarettes cannot be attributed to a harmless type of habit.

IntroductionA household-level constant visual deterrent advocacy campaign to reduce tobacco intake was conducted in rural Bangladesh.AimsTo evaluate smoking tobacco expenditure by campaign components.MethodsWe conducted a single-blind clustered randomized controlled trial on 630 adult male household heads from 16 chars (riverine islands) in rural northern Bangladesh, between November 2018 and January 2019. Intervention allotment was randomized at the char level to minimize spillovers, with 8 chars in treatment and control groups each. The intervention provided households in treatment chars (n = 323) with two visual warning posters, detailing the health effects of tobacco on oneself and external actors, to be hung inside the household for 4 weeks. Households in control chars (n = 307) received nothing. Reported daily smoking (log) tobacco expenditure values were the primary outcome of interest.ResultsFinal analysis was conducted using 251 and 210 smokers in treatment and control chars respectively. The intervention reduced relative smoking tobacco expenditure by 12.8% (95% CI −31.45 to 5.81) but was not statistically significant (P-value = 0.163). Weak to moderate emotional reactions to the posters was identified as a reason for the statistical insignificance.ConclusionFor a visual anti-tobacco intervention to have a substantial impact, it must induce strong emotional responses.

Background: In France, daily smoking has been highly prevalent among low-income smokers.Objectives: Our aim was to search for factors associated with both continued abstinence and attempting to qui...

ObjectiveThis study examines the extent to which cigarette taxes affect smoking behaviour and disparities in smoking among adolescents by gender, socioeconomic status (SES) and race/ethnicity.MethodsWe used US nationally representative, repeated cross-sectional data from the 2005 to 2016 Monitoring the Future study to evaluate the relationship between state cigarette taxes and past 30-day current smoking, smoking intensity, and first cigarette and daily smoking initiation using modified Poisson and linear regression models, stratified by grade. We tested for interactions between tax and gender, SES and race/ethnicity on the additive scale using average marginal effects.ResultsWe found that higher taxes were associated with lower smoking outcomes, with variation by grade. Across nearly all of our specifications, there were no statistically significant interactions between tax and gender, SES or race/ethnicity for any grades/outcomes. One exception is that among 12th graders, there was a statistically significant interaction between tax and college plans, with taxes being associated with a lower probability of 30-day smoking among students who definitely planned to attend college compared with those who did not.ConclusionWe conclude that higher taxes were associated with reduced smoking among adolescents, with little difference by gender, SES and racial/ethnicity groups. While effective at reducing adolescent smoking, taxes appear unlikely to reduce smoking disparities among youth.

Aims: At a time of declining smoking prevalence in England, it is useful to document any changes in the characteristics of smokers. This has implications for targeting tobacco control policies and interventions. This study compared the characteristics of smokers from 2008 to 2017 to assess changes in smoking and quitting patterns and socio‐demographic profile. Design and setting: Analysis of annual trends in results from repeated cross‐sectional surveys of representative samples of the population in England from 2008 to 2017. Participants: The study included 208 813 adults aged 16+. Measurements: Information was gathered on age, sex, social grade and region, cigarette consumption, cigarette dependence as measured by time to first cigarette of the day, daily smoking, smoking roll‐your‐own cigarettes, attempts to cut down, use of an e‐cigarette or nicotine replacement therapy, attempts to cut down or quit, use of support in quit attempts and whether the quit attempt was abrupt. Findings: During the period, mean daily cigarette consumption [B = –0.30, 95% confidence interval (CI) = –0.33 to −0.27] and the time to first cigarette score decreased (B = –0.03, 95% CI = –0.03 to −0.02). The proportion of smokers attempting to cut down or quit decreased (odds ratio (OR) range = 0.96–0.97, 95% CI range = 0.95–0.97). Use of behavioural support [odds ratio (OR) = 0.89, 95% CI = 0.86–0.92] or no support decreased (OR = 0.98, 95% CI = 0.96–0.99), while use of pharmacological support, including e‐cigarettes, increased (OR = 1.04, 95% CI = 1.02–1.05). There was no significant change in the difference in social grade between smokers and non‐smokers comparing 2008 with 2017. Changes in smoking and quitting behaviour were independent of changes in socio‐demographic characteristics. Conclusions: Between 2008 and 2017 in England, smokers appear to have become less dependent on cigarettes but less likely to try to quit or cut down. Of those who tried to quit, fewer used behavioural support and more used pharmacological support. The proportion from more disadvantaged backgrounds did not change significantly.

Tobacco, alcohol and cannabis use are important health problems that contribute greatly to causes of death in worldwide. Early onset of substance use increases rapidly during adolescence and it has been associated with a wide range of adverse events. Because substance use is associated with dramatic consequences, delaying the initiation of substance use among adolescents remains a major public priority. This study examined the effectiveness of a school-based intervention program based on the application of the Reasoning and Rehabilitation V2 (R&amp, R2) program for preventing substance use among adolescents at risk of academic failure. A sample of 142 participants (aged 13–17 years old) who were studying alternative education provision in Spain were randomly allocated to two conditions (68 experimental group, 74 control group). A pre-test survey assessing past and current substance use was conducted prior the implementation of the program, while a post-test survey was conducted about 12 months after the pre-test. The results showed a significant effect of the R&amp, R program in the reduction of cigarette smoking, episodes of drunkenness, alcohol consumption and cannabis use. However, for daily smoking and episodes of drunkenness such benefits showed a reduction over time. These findings offer additional evidence of the effectiveness of the Reasoning and Rehabilitation V2 program in Spanish adolescent students who are exposed to substance use and suggest areas of future research.

Background and aims The effect of snus (Swedish moist snuff) use over time on smoking cessation has not been clearly established. This study aimed to assess whether there is an association between snus use over the life-span and smoking cessation in Norway. Design and setting Yearly national cross-sectional surveys (2007-17) among Norwegian adults. Participants A total of 5353 ever-daily smokers aged 16-79 years, 61.0% of whom (n = 3268) had quit daily smoking, and 16.9% (n = 903) were ever snus users. Measurements Retrospective data on smoking and snus use initiation and smoking cessation. Cox proportional hazard models were applied to estimate the association between time from initiation of snus use and quitting smoking. Findings There was a significant association between snus use and quitting smoking during the 5 first years after starting using snus (hazard ratio = 1.92, confidence interval = 1.62-2.26), but not thereafter. Conclusion In Norway, snus use appears to be associated with a higher likelihood of quitting smoking within the first 5 years of initiation of this use.

The aim of the current study was to assess the perceived treatment effectiveness and beliefs with respect to the best advisor who could conduct smoking cessation treatment or counseling among socially disadvantaged light and heavy smokers. This could be crucial for implementation of a successful smoking cessation intervention among this vulnerable population.The current assessments were based on the data collected during the second wave of a cross-sectional study performed in the Piotrkowski District among 1668 adults aged 18-59, entitled to social aid from welfare institutions. Face-to-face interviews were conducted to collect the relevant data.The current daily smoking status was declared by 31% of the participants. About 23% of the study sample (74% of daily smokers) admitted to being heavy smokers with a meaningful difference between men and women (p0.05). About 29% of the daily smokers indicated that medications/pharmacotherapy could be a good method for giving up the habit. Fifteen percent of the participants shared the opinion that a smoking cessation specialist is the best advisor for counseling, and only about 7% would choose a general practitioner or pharmacist, and even fewer a nurse, as a person who could provide help to smokers. There were no statistically significant differences in any of the evaluated perceptions between the light and heavy smokers (p0.05).A high share of heavy smokers among socially disadvantaged people, and their perception that medications/pharmacotherapy would be a good solution to quit smoking, underline the need for stronger support for this method, including relevant financing resources and training. However, this method should be applied along with behavioral counseling. Int J Occup Med Environ Health. 2019;32(4):527-36.

Objectives: Alternative tobacco product (ATP) use is popular among adolescents in Western countries, however, little is known about factors influencing ATP experimentation in Europe. The aim of this study was to explore factors associated with ATP experimentation, and to identify patterns of ATP experimentation among Hungarian adolescents who had ever tried manufactured cigarette smoking. Methods: Logistic regression analyses were applied to estimate the relationship between individual cigarette smoking experiences, social smoking influences, demographics, and ATP experimentation (roll-your-own (RYO) cigarettes, cigars/cigarillos, waterpipe, traditional pipe and flavoured cigarettes) in a cross-sectional sample of 8th and 11th grade students (N = 1,067, 56.0% of girls) who had ever tried manufactured cigarette smoking in six metropolitan cities of Hungary. Latent class analysis (LCA) was performed to identify patterns of different ATP use. Results: Almost 90% of the sample had ever tried ATPs and significantly more commonly older (91.8%) versus younger (79.8%) students. Waterpipe was the most popular product to try followed by flavoured cigarettes, cigars/cigarillos, RYO cigarettes, and pipe. Boys were more likely to report ATP experimentation compared to girls. Younger age of cigarette smoking experimentation, greater frequency of past month cigarette smoking and history of ever daily smoking for 30 days showed strong association with ATP experimentation. Students with one or more smoking friends were more vulnerable to experiment with ATPs. Weekly allowance, school academic achievement and household smoking exposure showed no effect on the experimentation. LCA identified four subgroups of ATP experimenters comprising intense polytobacco experimenters (38.4%), mainly waterpipe experimenters (34.2%), moderate polytobacco experimenters (14.9%), and less interested experimenters (12.5%). Conclusion: Tobacco prevention programmes targeting adolescents should emphasize the risks of using ATPs in addition to manufactured cigarettes. Accessibility of ATPs should be better regulated and restrictions should be strongly enforced in order to prevent potential harmful consequences of adolescent polytobacco use.

To estimate the prevalence of non-medical use of pharmaceutical opioids and examine the socio-demographic, psychological, health and behavioural correlates and type of opioids used. Data from the Australian National Drug Strategy Household Survey 2016 was used. The sample consisted of. 23 448 participants aged over 14 years (54% female). The key measure was opioid use status in the past year. Based on participants' responses to questions about their substance use in the past 12 months, they were grouped into four opioid use status: (i) No illicit substance use (ISU) and no non-medical use of pharmaceutical opioids (NMUPO); (ii) ISU but no NMUPO; (iii) NMUPO but no ISU; and (iv) NMUPO and ISU. The prevalence non-medical pharmaceutical opioid use was 3.56%. Two-thirds of them engaged in NMUPO but no ISU; one-third engaged in NMUPO and ISU. Younger people were more likely to use pharmaceutical opioids in addition to other illicit drugs, while older people were more likely to only use pharmaceutical opioids. Alcohol risk and daily smoking were associated with using pharmaceutical opioids and other illicit drugs, but not with pharmaceutical opioids only. Those who reported only using pharmaceutical opioids were more likely to use over-the-counter codeine products. Over 700 000 Australian used pharmaceutical opioids for non-medical purpose. Among users, two-thirds used only opioids and one-third used opioids in addition to other illicit drugs. Profile of these two types of users were substantially different. Future prevention efforts targeting different type of opioids users may need to be optimised based on their profiles.

Poor academic performance is a known risk factor for adolescent smoking, yet the association remains unclear, as the role of social ties has been rarely examined. Our study aims to investigate the role of friendship ties in this association. In a sample of 11,015 adolescents, aged 14 to17, in 50 schools within six European cities (SILNE-survey, 2013), we used multilevel models to analyse the mediating effect of the composition of friendship ties and school types on the association between academic performance and smoking. Results show smoking was more prevalent in adolescents with lower academic performance than with higher. This association was stronger in non-vocational schools than in vocational. Adolescents tended to have friendship ties with someone sharing the same smoking status and academic performance. Finally, friendship networks are patterned both on smoking and academic performance. This suggests the educational environment contributes to future socio-economic inequalities in smoking among young people.

Background Our objective in this study was to find determinants of high-school dropout in a deprived area of Japan using longitudinal data, including socio-demographic and junior high school-period information. Methods We followed 695 students who graduated the junior high school located in a deprived area of Japan between 2002 and 2010 for 3 years after graduation (614 students: follow-up rate, 88.3%). Multivariable log-binomial regression models were used to calculate the prevalence ratios (PRs) for high-school dropout, using multiple imputation (MI) to account for non-response at follow-up. Results The MI model estimated that 18.7% of students dropped out of high school in approximately 3 years. In the covariates-adjusted model, three factors were significantly associated with high-school dropout: ≥10 days of tardy arrival in junior high school (PR 6.44; 95% confidence interval [CI], 1.69-24.6 for "10-29 days of tardy arrival" and PR 8.01; 95% CI, 2.05-31.3 for "≥30 days of tardy arrival" compared with "0 day of tardy arrival"), daily smoking (PR 2.01; 95% CI, 1.41-2.86) and severe problems, such as abuse and neglect (PR 1.66; 95% CI, 1.16-2.39). Among students with ≥30 days of tardy arrival in addition to daily smoking or experience of severe problems, ≥50% high-school dropout rates were observed. Conclusions Three determinants of high-school dropout were found: smoking, tardy arrival, and experience of severe problems. These factors were correlated and should be treated as warning signs of complex behavioral and academic problems. Parents, educators, and policy makers should work together to implement effective strategies to prevent school dropout.

Existing studies in the literature indicate an association between the use of dating apps and substance-related behaviours (i.e., alcohol consumption, drug consumption). However, to date, no studies investigated the relation between dating app use and smoking. This study aims to explore this association. A total of 1278 respondents completed an online ad hoc questionnaire assessing demographics, smoking habits, dating app use, motivations for using dating apps. Multiple logistic regression analyses were run to investigate the relation between demographics and dating apps use on tobacco consumption. Being active user was significantly associated with being smoker, light daily and moderate-to-heavy smoker. Among users, using apps with the motive of searching for friends accounted for lower odds of smoking, light daily smoking and moderate-to-heavy smoking. However, heavy dating app users were less likely to smoke, to be light daily smokers and to be moderate-to-heavy smokers. The study indicates an association between using the apps and smoking, suggesting that motives for using the apps and intensity of use may moderate this association.

Zhuo Zhang,1 Lu Ma,2 Hui Geng,3 Ying Bian1 1State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, Macau, People’s Republic of China; 2Xi’an Shiyou University, Xi’an, Shaanxi, People’s Republic of China; 3Physical Examination Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of ChinaCorrespondence: Ying BianInstitute of Chinese Medical Sciences, University of Macau, Avenida Da Universidade, Room 2055, N22 Building, Taipa, Macau SAR, People’s Republic of ChinaTel + 86853-66548926Email bianyingum@163.comPurpose: Although drinking and smoking have been associated with gamma-glutamyl transferase (GGT) levels, studies on the effects of smoking and drinking on GGT levels are scarce. The objective of this study was to assess the individual and combined effects of smoking, drinking on GGT levels in the Shaanxi province of Northwest China.Participants and Methods: A questionnaire survey was conducted in a population that underwent health examination at the First Affiliated Hospital of Xi’an Jiaotong University and included employees of enterprises or public institutions. The survey was used to collect the baseline characteristics, smoking status, and drinking status of the participants. This information was collected from January 2019 to December 2019. Data related to the physical examinations were exported using the hospital information system (HIS). A linear regression model was employed to explore the effects of smoking and drinking on GGT levels. The restricted cubic spline model was applied to assess the dose–response relationship between amount of smoking, alcohol consumption and GGT levels.Results: A total of 10,177 participants were included in the study. Linear regression indicated that smoking (β=3.37, 95% CI: 2.57– 4.17) and drinking (β=5.55 L, 95% CI: 4.40– 6.71) individually, and collectively (β=9.30, 95% CI: 7.83– 10.76) had a positive effect on GGT levels. The restricted cubic spline presented a linear dose–response relationship between the amount of daily smoking and GGT levels (P for non-linearity=0.148, P for overall association < 0.001, OR=2.49, 95% CI: 1.27– 4.90), and that between weekly alcohol consumption and GGT levels (P for non-linearity=0.231, P for overall association < 0.001, OR=4.79, 95% CI: 1.72– 13.32). In case of females, stratified analysis showed that in comparison to the reference group, only current drinkers had a significant effect on GGT levels (OR=3.37, 95% CI: 0.19– 6.55).Conclusion: Smoking and drinking have a dose-dependent and a synergistic effect on GGT levels. They should be controlled concurrently, especially among males.Keywords: gamma-glutamyl transferase, smoking, drinking, restricted cubic spline

Background Individuals with epilepsy are up to twice as likely to be current cigarette smokers compared to those without. Moreover, one study showed current smoking is associated with an increased likelihood of seizures. However, outside of this one study, there is limited data on the presentation of specific smoking-related behaviors and cognitions in people with epilepsy, inhibiting our understanding of the severity of this behavior and our ability to formulate effective treatments for this population. Purpose The current study examined smoking-related behaviors and cognitions among smokers with epilepsy compared to smokers without epilepsy. Methods Participants were 43 smokers with (Mage = 43.4, SD = 11.6) and 43 smokers without (Mage = 45.5, SD = 8.8) epilepsy recruited from an urban, academic setting within the U.S. Separate Analyses of Covariance (ANCOVAs) were conducted to evaluate differences between smokers with and without epilepsy in terms of smoking behavior (i.e., daily smoking rate, nicotine dependence, number of quit attempts, smoking duration, age of smoking onset) and smoking-related cognitive processes (i.e., smoking motives, perceived barriers to smoking cessation, cessation motives) after controlling for race and problematic alcohol use. Results Smokers with epilepsy did not differ from smokers without epilepsy in terms of smoking rate (p = .51, ηp2 = .01), nicotine dependence (p = .12, ηp2 = .03), age of smoking onset (p = .42, ηp2 = .01), number of quit attempts (p = .43, ηp2 = .01), barriers to cessation (p = .30 to .80, ηp2 = .00 to .01), or cessation motives (p = .28 to .60, ηp2 = .00 to .02). Smokers without epilepsy reported higher levels of smoking for sensorimotor manipulation reasons (p = .03, ηp2 = .06) and longer smoking duration (p = .03, ηp2 = .06) than smokers with epilepsy. Conclusions Smokers with epilepsy do not appear to differ significantly from smokers without epilepsy in terms of smoking-related behaviors and cognitions, and may therefore benefit from current evidence-based treatments for smoking cessation that are not contraindicated for epilepsy (i.e., bupropion, varenicline).

Increasing sugar-sweetened beverages (SSB) consumption and associated health impacts warrant health-policy action. We assessed associations of socioeconomic and lifestyle variables with adolescents’ consumption of regular soda (RSD), sport (SD), and energy (ED) drinks. Cross-sectional study of 3930 Spanish adolescents (2089 girls, 1841 boys) aged 13–18 years). We compared frequency of consuming each SSB type (European Food Safety Authority questionnaire) with sociodemographic and lifestyle variables (standardized questions). RSD, SD, and ED were consumed at least weekly by 72.7%, 32.3%, and 12.3% of participants, respectively, and more frequently (p &lt, 0.001) by boys, compared to girls. Multivariate ordinal logistic regression showed inverse association between RSD, SD, and ED consumption and parental occupation-based socioeconomic status (p &lt, 0.01). Daily smoking was associated (p &lt, 0.001) with higher ED (OR 3.64, 95% CI 2.39–5.55) and RSD (OR 2.15, 95% CI 1.56–2.97) consumptions. SD intake was associated inversely with smoking (OR 0.60, 95% CI 0.40–0.89, p = 0.012) and directly with physical activity (OR 2.93, 95% CI 2.18–3.95, p &lt, 0.001). School performance was lower among ED (OR 2.14, 95% CI, 1.37–3.35, p = 0.001) and RSD (OR 1.81, 95% CI 1.24–2.64, p = 0.002) consumers, compared to SD. Maleness and low socioeconomic status predicted SSB consumption. Smoking and low school performance were associated with higher ED and RSD intakes.

Key Points Question How have trends in cigarette and smokeless tobacco use among adolescents changed in recent years as e-cigarette use increased? Findings In this cross-sectional study of 1 297 362 US adolescents surveyed between 2011 and 2019, past 30-day and daily use of cigarettes and smokeless tobacco decreased more rapidly since 2012 as e-cigarette use began to increase. Smoking and smokeless tobacco use reached historically low levels among adolescents in the US. Meaning Despite its recent increase in popularity, e-cigarette use does not seem to be counteracting the decreases in other tobacco use prevalence., Importance Use of e-cigarettes increased among adolescents between 2011 and 2019. However, whether these changes are affecting patterns of use of other tobacco products, especially cigarettes, remains unclear. Objective To examine the long-term and recent trends in cigarette smoking and smokeless tobacco product use among US adolescents by grade (8th, 10th, and 12th), sex (male and female), and race (White and Black). Design, Setting, and Participants In this cross-sectional study, joinpoint regression analyses were performed to characterize trends in tobacco product use for key sociodemographic groups, identifying change of trend years (joinpoints). Students in the 8th, 10th, and 12th grades at US secondary schools and high schools who participated in the nationally representative Monitoring the Future survey from January 7, 1991, to June 3, 2019, were evaluated. Exposures Cigarette smoking and smokeless tobacco product use during the past 30 days. Main Outcomes and Measures Past 30-day and daily prevalence of cigarette smoking and smokeless tobacco product use by year, grade, sex, and race. The prevalence trend segments, change of trend years (joinpoints), and annual percentage change (APC) in prevalence within each trend segment were estimated using joinpoint regression. Results Since 1991, 487 335 8th-grade, 447 310 10th-grade, and 424 236 12th-grade students have completed the Monitoring the Future survey (including 663 663 girls and 632 698 boys [those who did not respond to the sex question in the survey were excluded from the sex analyses]). Past 30-day and daily smoking prevalence increased in all groups analyzed from 1991 until 1996 and 1997 and has been decreasing ever since, with more rapid reductions in recent years. For example, daily smoking among 12th-grade boys increased at an APC of 4.9% (95% CI, 3.5%-6.3%) from 1991 to 1998, decreased at an APC of −8.0% (95% CI, –9.3% to –6.7%) from 1998 to 2006, decreased at an APC of −1.6% (95% CI, –4.6% to 1.5%) from 2006 to 2012, and decreased at an APC of −17.4% (95% CI, –19.4% to –15.4%) from 2012 to 2019. Similar results were observed for boys in the 8th grade (5.0% [95% CI, 0.1%-10.2%] for 1991-1996, –8.8% [95% CI, –10.0% to –7.6%] for 1996-2011, and –17.3% [95% CI, –22.2% to –12.0%] for 2011-2019) and 10th grade (7.1% [95% CI, 3.7%-10.7%] for 1991-1997, –11.1% [95% CI, –13.9% to –8.2%] for 1997-2005,–0.7% [95% CI, –5.9% to 4.9%] for 2005-2011, and −17.9 [95%, –21.7% to –13.9%] for 2011-2019), for girls in 8th grade (10.9% [95% CI, 5.0%-17.2%] for 1991-1996 and –10.8% [95% CI, –11.7% to –10.0% for 1996-2019), 10th grade (7.2% [95% CI, 3.9%-10.7%] for 1991-1997, –9.5% [95% CI, –10.5% to –8.6%] for 1997-2012, and –16.3% [95% CI, –21.8% to –10.4%] for 2012-2019), and 12th grade (6.5% [95% CI, 3.6%-9.5%] for 1991-1997, –7.2% [95% CI, –8.1% to –6.3%] for 1997-2012, and –17.5% [95% CI, –21.2% to –13.6%] for 2012-2019). Results were similar, too, for Black adolescents (2015-2019 average annual percentage change: –8.6% [95% CI, –10.3% to –6.8%] for 8th graders; –17.7% [95% CI, –26.3% to –8.2%] for 10th graders; and –18.3% [95% CI, –23.9% to –12.2%] for 12th graders) and White adolescents (2015-2019 average annual percentage change: –17.3% [95% CI, –20.6% to –13.7%] for 8th graders; –16.9% [95% CI, –20.5% to –13.2%] for 10th graders; and –17.0% [95% CI, –20.5% to –13.2%] for 12th graders). Smokeless tobacco was used more variably through 2012, followed by consistent decreases in the past 5 years. For instance, smokeless tobacco use in the past 30 days in 10th-grade boys decreased at an APC of –6.5% (95% CI, –7.5% to –5.4%) from 1991 to 2004, increased at an APC of 3.1% (95% CI, –0.8% to 7.1%) from 2004 to 2012, and decreased at an APC of –11.6% (95% CI, –15.7% to –7.4%) from 2012 to 2019. Similarly, daily smokeless tobacco use in 12th-grade boys decreased at an APC of –3.8% (95% CI, –5.4% to –2.1%) from 1992 to 2005, increased at an APC of 3.1% (95% CI, –0.2% to 6.5%) from 2005 to 2015, and decreased at an APC of –23.0% (95% CI, –33.3% to –11.0%) from 2015 to 2019. Conclusions and Relevance This cross-sectional study suggests that, despite the increase in the prevalence of e-cigarette use among adolescents between 2011 and 2019, the prevalence of cigarette and smokeless tobacco use has decreased more rapidly during the same period compared with earlier years., This cross-sectional study examines how trends in cigarette and smokeless tobacco use among adolescents by grade, sex, and race have changed in recent years as e-cigarette use has increased.

The current study employed socio-demographic, health and lifestyle, and academic variables to assess the prevalence and independent predictors of daily smoking, attempts to quit smoking, and agreement with total smoking ban at university.Students at the University of Turku (1,177) completed an online questionnaire that assessed socio-demographic, health and lifestyle, and academic characteristics, and three smoking variables (smoking, attempts to quit, agreement with total smoking ban at university). Bivariate relationships and multiple logistic regression assessed relationships between student characteristics and the three smoking variables before and after controlling for all other variables.Slightly80% of students never smoked, 16% were occasional, and about 6% were daily smokers, and about 40% had attempted to quit. Nearly half the sample agreed to total smoking ban at university. Physical activity, consuming alcohol, illicit drug/s use and daily smoking were significant independent predictors across1 of the three smoking variables. Age, health awareness, importance of achieving good grades, academic performance compared to peers, study burden, and mother's educational level were significant independent predictors of one of the three variables examined.Universities need to assess smoking, with specific focus on the modifiable independent predictors that were associated with1 the variables examined, to encourage physical activity and pay attention to reduce alcohol consumption and illicit drug/s and daily smoking, whilst targeting at-risk students. University strategies should be part of the wider country-wide effective tobacco control policies.

INTRODUCTION Prevalence of light daily smoking, 10 CPD) and frequency (non-daily vs daily). Combinations of T0 and T1 smoking behaviors resulted in 15 smoking trajectories ending in light/non-daily smoking and a 16th category of heavy daily smokers at T1. Differences in demographics, tobacco use, and smoking cessation behaviors were assessed by using weighted multivariable regression models. RESULTS Overall, 46.1% of US smokers were heavy smokers, 24.6% remained light daily smokers and 12.5% remained light non-daily smokers between T0 and T1. Current cigar, smokeless tobacco, and pipe use differed by smoking trajectories (p