Selective Classes and Early Health Inequalities in Comprehensive Schools in Finland.

BACKGROUND: The origin of inequalities in health outcomes has been explained by health selection and social causation models. Health selection processes operate particularly at school age. We study, if student allocation to teaching groups with aptitude tests (selective vs general class) differentiates adolescents by health behaviors and mental health. METHODS: Finnish schoolchildren 12-13 years from 12 selective classes, n = 248; 41 general classes, n = 703 answered a questionnaire on addictive products (tobacco, snus, alcohol, and energy drinks), digital media use, and mental health (health complaints, anxiety, and depression). Structural equation modeling was conducted to identify structures between outcomes, SEP (socioeconomic position), class type, and academic performance. RESULTS: Students in the selective classes reported less addictive digital media and addictive products use than students in the general classes. Differences in academic performance or SEP between the class types did not solely explain these differences. Mental health was not related to the class type. SEP was indirectly associated with health behaviors via the class type and academic performance. CONCLUSIONS: Selecting students to permanent teaching groups with aptitude tests differentiates students according to risky health behaviors. The impact of education policies using student grouping should also be evaluated in terms of students' health.

Health and health behaviours in adolescence as predictors of education and socioeconomic status in adulthood - a longitudinal study.

BACKGROUND: The positive association of health with education level and socioeconomic status (SES) is well-established. Two theoretical frameworks have been delineated to understand main mechanisms leading to socioeconomic health inequalities: social causation and health selection but how these work in adolescence is poorly known. We studied if adolescent health and health behaviours predict higher education and higher SES in adulthood and if family background and school performance in adolescence explain these associations. METHODS: Surveys on health and health behaviours were sent to representative samples of 12-18-year-old Finns in 1981-1997 every second year (response rate 77.8%, N = 55,682). The survey data were linked with the respondents' and their parents' socioeconomic data from the Finnish national registries. Both latent variables, namely, health (perceived health, health complaints, chronic disease), health-compromising behaviours (smoking status, drunkenness frequency), and family background (parents' occupation-based SES, education, family type) and variables directly measuring health-enhancing behaviours (toothbrushing, physical activity) and school performance were used to predict higher education and higher occupation-based SES at age 34. Logistic regression analysis and structural equation models (SEM) were used. RESULTS: In logistic regression analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours were related to higher education and SES, also after controlling for family background and school performance. In the SEM analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours directly predicted higher SES and higher education, although the standardised coefficients were low (from 0.034 to 0.12). In all models, health, lack of health-compromising behaviours, and health-enhancing behaviours predicted school performance, which in turn, predicted the outcomes, suggesting indirect routes to these. Good socioeconomic prospects in terms of family background predicted good health, healthy behaviours, and good school performance in adolescence and higher SES and higher education in adulthood. CONCLUSION: Health and health behaviours in adolescence predicted education and SES in adulthood. Even though the relationships were modest, they support the health selection hypotheses and emphasise the importance of adolescence for health inequalities during the life-course. Health and health behaviours were strongly associated with school performance and family background which together modified the paths from health and health behaviours to the outcomes.

Towards Tobacco-Free Generation: implementation of preventive tobacco policies in the Nordic countries.

AIMS: Europe's Beating Cancer Plan set a goal of creating a Tobacco-Free Generation in Europe by 2040. Prevention is important for achieving this goal. We compare the Nordic countries' preventive tobacco policies, discuss the possible determinants for similarities and differences in policy implementation, and provide strategies for strengthening tobacco prevention. METHODS: We used the World Health Organization Framework Convention on Tobacco Control (WHO FCTC) to identify the key policies for this narrative review. We focused on Articles 6, 8, 9, 11, 13 and 16 of the WHO FCTC, and assessed the status of the required (core) and recommended (advanced) policies and their application to novel tobacco and nicotine products. Information on the implementation of strategies, acts and regulations were searched from global and national tobacco control databases, websites and scientific articles via PubMed and MEDLINE. RESULTS: The WHO FCTC and European regulations have ensured that the core policies are mostly in place, but also contributed to the shared deficiencies that are seen especially in the regulations on smokeless tobacco and novel products. Strong national tobacco control actors have facilitated countries to implement some advanced policies - even as the first countries in the world: point-of-sale display bans (Iceland), outdoor smoking bans (Sweden), flavour bans on electronic cigarettes (Finland), plain packaging (Norway), and plain packaging on electronic cigarettes (Denmark). CONCLUSIONS: Collaboration and participation in reinforcing the European regulations, resources for national networking between tobacco control actors, and national regulations to provide protection from the tobacco industry's interference are needed to strengthen comprehensive implementation of tobacco policies in the Nordic countries.

Adolescents' Perceptions of Harmfulness of Tobacco and Tobacco-like Products in Finland.

During the recent years, new tobacco and tobacco-like products, e.g., e-cigarettes, have emerged on the market. Adolescents often underestimate health risks in general, including those concerning tobacco. Little is known of adolescents' perceptions of health risks of the newer products. Our paper compares adolescents' perceptions of harmfulness of cigarettes, e-cigarettes, snus, water pipes, and nicotine in Finland, a country with a long history of strict tobacco control policy. Online surveys to nationally representative samples of 12-18-year-olds were conducted in 2017 and 2019, with 7578 answering the surveys. Only 3% of boys and 2% of girls did not agree that cigarettes are harmful to health. The percentages were slightly higher for snus (6% and 3%, respectively) and nicotine (12%, 8%) but much higher for e-cigarettes (30%, 22%) and water pipes (36%, 38%). Those who used the product, whose parents were smokers or had lower education, and whose school performance was lower, less often agreed with the harmful health effects of the products. Our results showed that adolescents understood the harmfulness of older tobacco products better than the harmfulness of the newer ones. Our results also showed the need to strengthen health education and fix adolescents' misperceptions of the health effects of the newer products.

Single, Dual, and Triple Use of Cigarettes, e-Cigarettes, and Snus among Adolescents in the Nordic Countries.

New tobacco and nicotine products have emerged on the market in recent years. Most research has concerned only one product at a time, usually e-cigarettes, while little is known about the multiple use of tobacco and nicotine products among adolescents. We examined single, dual, and triple use of cigarettes, e-cigarettes, and snus among Nordic adolescents, using data of 15-16-year-olds (n = 16,125) from the European School Survey Project on Alcohol and other Drugs (ESPAD) collected in 2015 and 2019 from Denmark, Finland, Iceland, Norway, Sweden, and the Faroe Islands. Country-specific lifetime use of any of these products ranged between 40% and 50%, and current use between 17% and 31%. Cigarettes were the most common product in all countries except for Iceland, where e-cigarettes were remarkably more common. The proportion of dual and triple users was unexpectedly high among both experimental (24%-49%) and current users (31-42%). Triple use was less common than dual use. The users' patterns varied somewhat between the countries, and Iceland differed substantially from the other countries, with a high proportion of single e-cigarette users. More knowledge on the patterns of multiple use of tobacco and nicotine products and on the potential risk and protective factors is needed for targeted intervention and prevention efforts.

The role of health literacy in the association between academic performance and substance use.

BACKGROUND: To address social inequalities in adolescent substance use and consequent disparities in health, it is important to identify the mechanisms of the association between substance use and academic performance. We study the role of health literacy (HL) in the association between academic performance and weekly smoking, monthly alcohol use and cannabis ever-use among adolescents in Europe. METHODS: SILNE-R school survey data, which was collected in 2016-17 with paper-and-pencil-method from Hanover (GE), Amersfoort (NL) and Tampere (FI), were used (N = 5088, age 13-19). Health Literacy for School-aged Children instrument was used to assess students' HL. Logistic regression analyzed the association of substance use with academic performance and HL, separately and in the same model. Linear and multinomial logistic regression analyzed the association between academic performance and HL. RESULTS: Poor academic performance compared with high was associated with smoking [odds ratio (OR) 3.94, 95% confidence interval (CI) 2.83-5.49], alcohol use (OR: 2.94, 95% CI: 2.34-3.68) and cannabis use (OR: 2.56, 95% CI: 1.89-3.48). Poor HL was also associated with each substance use (with ORs of 2.32, 1.85 and 1.29). HL was positively associated with academic performance (ß = 1.04, 95% CI: 0.89-1.20). The associations between academic performance and substance use were only slightly attenuated after controlling for HL. CONCLUSIONS: Academic performance and HL were both determinants of substance use, confirming their role in tackling the disparities in substance use. However, HL did not demonstrably mediate the association between academic performance and substance use. A wider set of factors needs to be tackled to address emerging social inequalities in adolescent substance use.

Smoking cessation among adolescents in Europe: The role of school policy and programmes.

INTRODUCTION: European estimates of adolescent smoking cessation are lacking and studies on the role of schools in quit behaviour are scarce. We aimed to describe smoking cessation attempts and success among adolescents in Europe and explored the association with school policy and programmes. METHODS: We used cross-sectional data from the 2013 and 2016-2017 surveys of the European SILNE and SILNE-R projects. We included 4,509 12-19-year-old current or ex-smokers in 67 secondary schools in seven countries (Belgium, Germany, Finland, Ireland, Italy, the Netherlands, and Portugal). School staff reported strength of smoke-free school policies (SFSPs), proportion of grades in which anti-tobacco education was offered, and whether the school offered any form of cessation support programme. Multilevel logistic regression analysis determined school-level variation and the association of school-level and individual-level variables with self-reported and self-defined quit attempts and quit success. RESULTS: Over three quarters (77.3%) of students reported a quit attempt and half of them (50.1%) reported quit success. Prevalence rates of quit success and quit attempts, showed relatively small variations between schools within countries. Associations of smoke-free school policy, tobacco educational programmes and cessation programmes with quit attempts and quit success could not be demonstrated with statistical significance. Quit attempts and quit success were inversely associated with alcohol use, parental smoking, and friend smoking. CONCLUSION: This study demonstrates that adolescence is an important time to encourage quitting and to support quit attempts. We did not find evidence for a contribution of school policies and programmes to quit behaviour of adolescent smokers.

The association between migration and smoke-free families: how do migrants from different world regions compare?

BACKGROUND: Studies on adolescent secondhand smoke exposure within the family often dichotomously operationalize migration background without paying attention to social and cultural diversity within migrant populations. As a result, little is known about variation within migrant groups in smoke-free family environments (SFFEs). This study analyses the association between SFFEs and parental migration from different world regions. METHODS: Data from 14- to 16-year-old adolescents (N = 17 144) on SFFEs and parental migration were obtained from cross-sectional repeated SILNE-R surveys. A multivariable multinomial regression was applied, presenting relative risks (RRs) with 95% confidence intervals (CIs) for maternal or paternal tobacco smoking and home smoking bans. Variation in migration background was measured according to parental sex and place of birth. RESULTS: Approximately 18% of adolescents are exposed to maternal smoking, and 25% are exposed to paternal smoking. Almost half of the respondents do not live in SFFEs but are subject to permissive (5%) or partial (39%) smoking bans at home. We found that adolescents of Eastern European descent are at a higher risk of being exposed to both paternal and maternal smoking. A sex difference in parental smoking was found among Arabic/Islamic migrants, where mothers are less likely to be smokers. Maternal and paternal African origins are associated with prohibitive smoking bans at home. Eastern European mothers show higher odds of permissiveness and freely allowing smoking at home. CONCLUSION: Notable within-differences according to parental sex and place of birth were found for SFFEs and should be taken into account when implementing equity-sensitive tobacco prevention programs.

Electronic cigarette use among 14- to 17-year-olds in Europe.

BACKGROUND: Studies comparing adolescent e-cigarette use in different countries are scarce. We study students' e-cigarette and conventional cigarette ever-use, their social correlates and e-liquid use in seven EU countries. METHODS: SILNE-R data (N=12 167, response rate 79.4%) of 14-17-year-olds from Amersfoort (NL), Coimbra (PT), Dublin (IR), Hanover (GE), Latina (IT), Namur (BE) and Tampere (FI) were used. E-cigarette and conventional cigarette ever-use, dual-use, type of e-liquid and social correlates were measured with a school survey and analyzed with cross-tabulations and multinomial logistic regression. RESULTS: About 34% had tried e-cigarettes, but the variation was large between the cities (Latina 50%; Hanover 23%). Of e-cigarette ever-users, 37% had used nicotine e-liquid, 43% exclusively non-nicotine liquid and 20% did not know the content. Nicotine e-liquid was more prevalent among monthly e-cigarette users and weekly smoking e-cigarette users. The social correlates were mainly the same for exclusive e-cigarette ever-use, exclusive conventional cigarette ever-use and dual-use. Boys had greater odds for exclusive e-cigarette and dual-use compared to girls. Of social correlates, low academic achievement and parental smoking were positively associated with all categories of use, but parental education and immigrant background were not. The strongest association was found between peer smoking (most/all best friends smoke) and dual-use (OR 34.29). CONCLUSIONS: Students' e-cigarette ever-use varies greatly between EU countries. E-cigarettes seem not to be a substitute for conventional cigarettes but more a complementary product. Tobacco control policies might also prevent e-cigarette use but specific regulations on e-cigarettes are needed to prevent nicotine addiction originating from them.

The effect of school smoke-free policies on smoking stigmatization: A European comparison study among adolescents.

The increasing denormalization of smoking by tobacco control policies and a normative smoke-free climate may shift power towards adolescent non-smokers. It is unclear, however, how common stigmatization of smokers is among adolescents or how stigmatization relates to the denormalization of smoking in their school and social environment. This paper aims to measure (1) whether stigmatization among European adolescents varies according to smoking status and socioeconomic position (SES), and (2) whether stigmatization is greater in school environments in which smoking is denormalized (i.e. those with low smoking rates and strong school tobacco policies). Data on 12,991 adolescents were collected in 55 schools in seven European countries (SILNE R-survey, 2016/17). We applied Stuber's adapted scale of perceived stereotyping and discrimination towards smokers to smoking status and five variables indicating a power shift towards non-smokers: the school's tobacco control policy (STP) score, the percentage of adolescents in the school who smoke, parents' level of education, students' academic performance, and the percentage of their friends who smoke. Multilevel regressions were applied to the global score for perceived stigmatization. Discrimination against smokers and stereotyping of smokers were frequently reported. Smokers reported less 'perceived stigmatization of smoking' than non-smokers (Beta = -0.146, p < 0.001). High-SES students reported stereotyping and discrimination more frequently than lower-SES students. The perception of stigmatization was lower among students whose academic performance was poor (Beta = -0.070, p < 0.001) and among those who had friends who smoked (Beta = -0.141, p < 0.001). Stigmatization was lower in schools with greater exposure to smoking and was not associated with the school's STP score. Perceived stigmatization of smoking is common among European adolescents. Smokers themselves, however, perceive stigmatization less often than non-smokers. Strong school tobacco policies do not increase stigmatization, but a social environment that is permissive of smoking decreases perceived stigmatization.

School tobacco policies and adolescent smoking in six European cities in 2013 and 2016: A school-level longitudinal study.

Assessment of the effectiveness of school tobacco policies (STPs) in reducing adolescent smoking remains inconclusive. Previous studies took insufficient account of different dimensions of STPs, the different views of students and staff, and policy changes over time. This study assessed how a multidimensional STP, as perceived by students and staff, was associated with adolescent smoking over time in six European cities. The SILNE and SILNE-R surveys were conducted among students (n = 18,502) and staff (n = 438) in 38 schools in 2013 and 2016. Three dimensions (comprehensiveness, enforcement, and communication) were assessed and we calculated total STP scores. Multilevel logistic regressions estimated associations of STPs with adolescent smoking on and just outside school premises and with weekly smoking. Further analyses estimated associations between 2013 and 2016 STP changes and smoking outcomes in 2016, controlling for STP and smoking prevalence in 2013. On average, there were few increases in STP scores over time. Greater STP enforcement, as perceived by students, was associated with lower odds of weekly smoking (OR:0.93, 95%CI:0.89-0.97) and of smoking on school premises (OR:0.80, 95%CI:0.72-0.90). Higher total STP scores were associated with lower odds of smoking on school premises (OR:0.76, 95%CI:0.67-0.86), but not of smoking just outside premises or smoking weekly. Greater increases in STP scores over time were associated with lower odds of smoking on school premises in 2016 (OR:0.65, 95%CI:0.47-0.89). Well-enforced STPs may help reduce adolescent smoking at school. Schools should be supported in adopting comprehensive policies that also extend to the surroundings of their premises.

Cost of youth tobacco-control policies in seven European countries.

BACKGROUND: Tobacco-control policies have been suggested to reduce smoking among adolescents. However, there is limited evidence on the real-world costs of implementation in different settings. In this study, we aimed at estimating the costs of school smoking bans, school prevention programmes and non-school bans (smoking bans in non-educational public settings, bans on sales to minors and bans on point-of-sale advertising), implemented in Finland, Ireland, the Netherlands, Belgium, Germany, Italy and Portugal, for 2016. METHODS: We retrospectively collected costs related to the inspection, monitoring and sanctioning activities related to bans and educational activities related to smoking prevention programmes. We used an 'ingredients-based' approach, identifying each resource used, quantity and unit value for one full year, under the state perspective. Costs were measured at national, regional, local and school-level and were informed by data on how these activities were performed in reality. RESULTS: Purchasing power parities adjusted-costs varied between €0.02 and €0.74 (average €0.24) per person (pp) for bans implemented outside schools. Mean costs of school smoking bans ranged from €3.31 to €34.76 (average €20.60), and mean costs of school educational programmes from €0.75 to €4.65 (average €2.92). CONCLUSIONS: It is feasible to estimate costs of health policies as implemented in different settings. Costs of the tobacco control policies evaluated here depend mainly on the number of person-hours allocated to their implementation, and on the scale of intervention. Non-school bans presented the lowest costs, and the implementation of all policies cost up to €36 pp for 1 year.

Economic Evaluation of Five Tobacco Control Policies Across Seven European Countries.

INTRODUCTION: Economic evaluations of tobacco control policies targeting adolescents are scarce. Few take into account real-world, large-scale implementation costs; few compare cost-effectiveness of different policies across different countries. We assessed the cost-effectiveness of five tobacco control policies (nonschool bans, including bans on sales to minors, bans on smoking in public places, bans on advertising at points-of-sale, school smoke-free bans, and school education programs), implemented in 2016 in Finland, Ireland, the Netherlands, Belgium, Germany, Italy, and Portugal. METHODS: Cost-effectiveness estimates were calculated per country and per policy, from the State perspective. Costs were collected by combining quantitative questionnaires with semi-structured interviews on how policies were implemented in each setting, in real practice. Short-term effectiveness was based on the literature, and long-term effectiveness was modeled using the DYNAMO-HIA tool. Discount rates of 3.5% were used for costs and effectiveness. Sensitivity analyses considered 1%-50% short-term effectiveness estimates, highest cost estimates, and undiscounted effectiveness. FINDINGS: Nonschool bans cost up to €253.23 per healthy life year, school smoking bans up to €91.87 per healthy life year, and school education programs up to €481.35 per healthy life year. Cost-effectiveness depended on the costs of implementation, short-term effectiveness, initial smoking rates, dimension of the target population, and weight of smoking in overall mortality and morbidity. CONCLUSIONS: All five policies were highly cost-effective in all countries according to the World Health Organization thresholds for public health interventions. Cost-effectiveness was preserved even when using the highest costs and most conservative effectiveness estimates. IMPLICATIONS: Economic evaluations using real-world data on tobacco control policies implemented at a large scale are scarce, especially considering nonschool bans targeting adolescents. We assessed the cost-effectiveness of five tobacco control policies implemented in 2016 in Finland, Ireland, the Netherlands, Belgium, Germany, Italy, and Portugal. This study shows that all five policies were highly cost-effective considering the World Health Organization threshold, even when considering the highest costs and most conservative effectiveness estimates.

Strategies and barriers to achieving the goal of Finland's tobacco endgame.

OBJECTIVES: Finland boldly legislated the end of tobacco use in its 2010 Tobacco Act, and subsequently expanded the goal in 2016 to eradicate other nicotine-containing products. This study explored stakeholders' perceptions about the strengths, barriers, solutions and rationale for Finland's comprehensive but conventional strategy to achieve its nicotine-free goal. DESIGN: Study participants were selected based on expertise in policy or practice of tobacco control (n=32). Semi-structured interviews, conducted in 2017 and 2018, covered topics ranging from consensus among stakeholders to Finland's ranking on the 2016 Tobacco Control Scale. The framework method was chosen for analysing interview transcripts. RESULTS: A perceived strength of Tobacco-Free Finland 2030 was the consensus and cooperation among members of the tobacco control community. The objective of becoming a nicotine- versus smoke-free society had almost unanimous support, challenged by a small minority who argued for greater discussion of harm reduction approaches. The need for maintaining legitimacy and historical successes in tobacco control were reasons for using a conventional strategy. Barriers to achieving the endgame goal included insufficient funding and over-reliance on non-governmental organisations, political/legal constraints, impact of institutional practices on tobacco disparities, ambivalence about the role of mass media and lack of prioritising smoking cessation. CONCLUSIONS: Stakeholders' broad confidence in reaching the goal of Finland's tobacco endgame suggests that future policy initiatives will reflect the current, conventional strategy. If the Finnish government chooses to continue this approach, then it should designate separate funds for Tobacco-Free Finland 2030 and implement structural changes that will facilitate tobacco control initiatives.

Social determinants of adolescent smoking over three generations.

Aim: We studied how multigenerational socioeconomic circumstances influence adolescents' smoking. Previous studies have shown that low academic achievement as well as parents' low socioeconomic circumstances are associated with adolescents' smoking, but there are few studies on grandparents' influence on their grandchildren's smoking. For the chain of three generations, we hypothesised that high socioeconomic circumstances of both parents and grandparents decrease the probability of smoking and adolescents' own education and circumstances contribute to this association. We further investigated the role of intergenerational social mobility. Method: Survey data from 1979 to 1997 on 12- to 18-year-old Finns (n=54,487) were linked with 1970-2009 registry-based data of their grandparents, parents and themselves. Socioeconomic circumstances among parents and grandparents were measured by socioeconomic status, education and material resources and among adolescents by academic achievement, educational orientation, family structure and parental smoking. Logistic regression analysis was used to study the associations. Results: Associations of adolescent smoking with grandparental socioeconomic circumstances were weak and mediated through parental circumstances. Parental smoking and divorce and living in a non-intact family increased smoking. Adolescents' low academic achievement and orientation to low education level were the most important predictors of smoking. Upward intergenerational social mobility between fathers and children decreased the risk of smoking, whereas downward mobility increased it. Conclusions: The influence of grandparents' low socioeconomic circumstances on grandchildren's smoking is mediated through parents' socioeconomic circumstances. Low academic achievement in adolescence is a strong predictor of smoking and adolescents orient towards the group of their future education level, not that of their parents.

Late start of upper secondary education and health-compromising behaviours among Finnish adolescents-a follow-up study.

BACKGROUND: The Finnish government has emphasized the need to expedite educational transitions. We study if a late start of upper secondary education is related to health-related selection, namely health-compromising behaviours in adolescence. METHODS: A large cohort of adolescents from the seventh (12-13 years) and ninth (15-16 years) grades answered online classroom surveys (total n = 10 873). They were followed to the start of upper secondary education, obtained from the Joint Application Registry. We compared those who continued studies directly from the ninth grade with later starters. We measured late bedtime, breakfast not every school day, tooth brushing less than twice-a-day, monthly alcohol consumption, weekly smoking, daily energy drinks, physical activity <6 days/week and excessive screen time. Multilevel logistic regressions and latent class analyses were conducted. RESULTS: In gender and school adjusted models in the seventh grade, all behaviours except physical activity predicted the late start. The strongest predictor was smoking, OR = 2.96 (CI = 2.25-3.89). In the ninth grade, smoking, breakfast, tooth brushing and energy drinks, OR = 1.80, (CI = 1.36-2.39, strongest), were predictive. After controlling for sociodemographic background and academic achievement, associations for alcohol and screen time became non-significant in the seventh grade. In the ninth grade, only screen time remained significant, OR = 1.33 (CI = 1.04-1.71). Health-compromising behaviours formed clusters. Belonging to the unhealthy cluster predicted the late start in both grades, in adjusted models only in the seventh grade. CONCLUSIONS: Students with health-compromising behaviours are less likely to start upper secondary education directly after the compulsory education. This may increase the risk for fragmentary educational trajectories and work careers.

The Association Between Smoke-Free School Policies and Adolescents' Perceived Antismoking Norms: Moderation by School Connectedness.

INTRODUCTION: Many European schools implement smoke-free school policies (SFSPs). SFSPs may decrease adolescent smoking by causing adolescents to perceive stronger antismoking norms, yet there exists no quantitative evidence that indicates for which norms and for whom such effects may occur. This study therefore assessed to what extent adolescents' perceived antismoking norms among best friends, teachers, and society at large were associated with SFSPs, and whether these associations were moderated by adolescents' level of school connectedness. AIMS AND METHODS: Survey data were collected in 2016/2017 on 10,653 adolescents aged 14-16 years old and 315 staff members in 55 schools from seven European cities. Associations of adolescent-perceived SFSPs and staff-reported SFSPs with best friend, teacher, and societal antismoking norms were estimated in multilevel logistic regression models, adjusted for demographics and school-level smoking prevalence. We tested for interaction between school connectedness and SFSPs. RESULTS: Adolescent-perceived SFSPs were positively associated with antismoking norms by teachers (odds ratio [OR]: 1.46, 95% confidence interval [CI]: 1.15-1.85), were negatively associated with antismoking norms by best friends (OR: 0.81, 95% CI: 0.67-0.99), but were not significantly associated with antismoking norms by society at large (OR: 0.87, 95% CI: 0.74-1.02). All interaction tests between adolescent-perceived SFSPs and school connectedness were nonsignificant. Staff-reported SFSPs were not associated with any norm and showed no significant interaction with school connectedness. CONCLUSIONS: We found that SFSPs are associated with adolescents' perception of more antismoking norms by teachers, but less antismoking norms by best friends, irrespective of adolescents' level of school connectedness. IMPLICATIONS: Smoke-free school policies, just as many other tobacco control policies, are assumed to foster adolescents' perception of antismoking norms. Still, current evidence does not demonstrate which antismoking norms may be influenced by SFSPs and whether this influence is equal for adolescents with different levels of school connectedness. This study suggests that SFSPs foster adolescents' perception of antismoking norms by teachers, but may concurrently lead to the perception of less antismoking norms by best friends, irrespective of adolescents' school connectedness. SFSPs may therefore need to be complemented with interventions that target antismoking norms in adolescent peer groups.

Where do teens smoke? Smoking locations of adolescents in Europe in relation to smoking bans in bars, schools and homes.

This study aimed to assess where European adolescents smoke. Data of 2,140 13-19-year-olds from 55 secondary schools in seven European cities was analysed using multilevel logistic regression analyses. Adolescents most often reported regularly smoking in 'other public locations (e.g., streets and parks)' (69%) and friends' homes (50%). Adolescents were less likely to smoke in bars, at school or at home when exposed to strong smoking bans at these locations. Bans on smoking in bars or at home were associated with regular smoking in other public locations, suggesting that smoking may have displaced towards these locations.

Examining retail purchases of cigarettes and nicotine replacement therapy in Finland.

INTRODUCTION: Finland's success in achieving the goal of its tobacco endgame largely depends on rectifying deficiencies in the delivery of smoking cessation services. One such weakness, which has not been documented with empirical data, is misuse of nicotine replacement therapy (NRT). This study's objective was to examine purchase patterns of NRT for estimating improper use of the medication. The study was based on the assumption that duration of a purchase episode is indicative of either proper use or misuse of NRT. METHODS: The participants (n=728), who purchased at least one NRT product in 2016 (mostly gum/lozenge), were selected through enrollment in a large customer loyalty program in Finland (LoCard). Participants were categorized into one of five groups according to their longest purchase episode of NRT, defined by purchases made in consecutive, 4-week intervals. RESULTS: Most participants, who did not adhere to NRT guidelines, either purchased the medication for too short (≤4 weeks, 63.5%) or too long (>24 weeks, 13.2%) of a purchase episode. Median purchases of NRT in the first month of use were one and four in the former and latter, respectively. In contrast to other groups, persistent users (>24 weeks) did not curtail purchases of NRT across several 4-week intervals, suggesting potential for dependence on NRT. CONCLUSIONS: The observation that most purchase episodes were terminated prematurely is consistent with surveys reporting widespread NRT misuse. Given uncertainty of greater regulation of NRT sales through legislation, it would be prudent for Finnish retailers to promote proper use of the therapy.

The association between smoke-free school policies and adolescents' anti-smoking beliefs: Moderation by family smoking norms.

BACKGROUND: Smoke-free school policies (SFSPs) may influence adolescents' smoking through the development of anti-smoking beliefs. We assessed which types of anti-smoking beliefs (health, social and societal) are associated with SFSPs and whether these associations were different for adolescents in smoking permissive versus prohibitive families. METHODS: Survey data was collected in 2016-2017 from 10,980 adolescents between 14-16 years old and 315 staff in 55 schools from seven European cities. We separately measured adolescent-perceived SFSP and staff-reported SFSP at the school-level. Associations between SFSP and anti-smoking health, social and societal beliefs were studied using multi-level logistic regression, adjusting for demographics and school-level smoking prevalence. We tested for interactions between family norms and SFSP, and estimated associations for adolescents in permissive and prohibitive families, respectively. RESULTS: Adolescent-perceived SFSP was not significantly associated with anti-smoking health (OR:1.08, 95%CI:0.94-1.25), social (OR:0.89, 95%CI:0.75-1.04) and societal beliefs (OR:1.15, 95%CI:0.99-1.33). Staff-reported SFSP were associated with anti-smoking health beliefs (OR:1.12, 95%CI:1.01-1.24), but not with social (OR:0.94, 95%CI:0.83-1.07) or societal beliefs (OR:1.02, 95%CI:0.90-1.14). Most results were comparable between adolescents in smoking prohibitive and permissive families. However, in smoking prohibitive families, adolescent-perceived SFSP were associated with societal beliefs (OR:1.24, 95%CI:1.06-1.46), but not in permissive families (OR:1.06, 95%CI:0.90-1.25). Also, in smoking permissive families, staff-reported SFSP were associated with more pro-smoking social beliefs (OR:0.83, 95%CI:0.72-0.96), but not in prohibitive families (OR:1.05, 95%CI:0.92-1.16). CONCLUSIONS: We found evidence that SFSP are associated with some anti-smoking beliefs, but more so among adolescents from smoking prohibitive families than from permissive families.