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Background: Although there is evidence for socioeconomic inequalities in health and health behaviour in adolescents, different indicators of socioeconomic status (SES) have rarely been compared within one data sample. We examined associations of five SES indicators with self-rated health (SRH) and smoking (ie, a leading cause of health inequalities) in Europe., Methods: Data of adolescents aged 14-17 years old were obtained from the 2013 SILNE survey (smoking inequalities: learning from natural experiments), carried out in 50 schools in 6 European cities (N=10 900). Capturing subjective perceptions of relative SES and objective measures of education and wealth, we measured adolescents' own SES (academic performance, pocket money), parental SES (parental educational level) and family SES (Family Affluence Scale, subjective social status (SSS)). Logistic regression models with SRH and smoking as dependent variables included all SES indicators, age and gender., Results: Correlations between SES indicators were weak to moderate. Low academic performance (OR=1.96, 95% CI 1.53 to 2.51) and low SSS (OR=2.75, 95% CI 2.12 to 3.55) were the strongest indicators of poor SRH after adjusting for other SES-indicators. Results for SSS were consistent across countries, while associations with academic performance varied. Low academic performance (OR=5.71, 95% CI 4.63 to 7.06) and more pocket money (OR=0.21, 95% CI 0.18 to 0.26) were most strongly associated with smoking in all countries., Conclusions: Socioeconomic inequalities in adolescent health were largest according to SES indicators more closely related to the adolescent's education as well as the adolescent's perception of relative family SES, rather than objective indicators of parental education and material family affluence. For future studies on adolescent health inequalities, consideration of adolescent-related SES indicators was recommended., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Nicotine dependence during adolescence increases the risk of continuing smoking into adulthood. The magnitude of nicotine dependence among adolescents in the European Union (EU) has not been established. We aimed to estimate the number of nicotine dependent 15-year-old adolescents in the EU, and identify high-risk groups., Methods: The number of nicotine dependent 15-year-olds in the EU was derived combining: (i) total number of 15-year-olds in the EU (2013 Eurostat), (ii) smoking prevalence among 15-year-olds (2013/2014 HBSC survey) and (iii) proportion of nicotine dependent 15-year-olds in six EU countries (2013 SILNE survey). Logistic regression analyses identified high-risk groups in the SILNE dataset., Results: We estimated 172 636 15-year-olds were moderately to highly nicotine dependent (3.2% of all 15 years old; 35.3% of daily smokers). In the total population, risk of nicotine dependence was higher in males, adolescents with poor academic achievement, and those with smoking parents or friends. Among daily smokers, only lower academic achievement and younger age of smoking onset were associated with nicotine dependence., Conclusion: According to our conservative estimates, more than 172 000 15-year-old EU adolescents were nicotine dependent in 2013. Prevention of smoking initiation, especially among adolescents with poor academic performance, is necessary to prevent a similar number of adolescents getting addicted to nicotine each consecutive year., (© The Author(s) 2018. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: There are concerns that tobacco control policies may be less effective in reducing smoking among disadvantaged socioeconomic groups and thus may contribute to inequalities in adolescent smoking. This study examines how the association between tobacco control policies and smoking of 15-year-old boys and girls among 29 European countries varies according to socioeconomic group., Methods: Data were used from the Health Behaviour in School-aged Children (HBSC) study conducted in 2005/2006 comprising 50,338 adolescents aged 15 years from 29 European countries. Multilevel logistic regression analyses were conducted to assess the association of weekly smoking with components of the Tobacco Control Scale (TCS), and to assess whether this association varied according to family affluence (FAS). Analyses were carried out per gender and adjusted for national wealth and general smoking rate., Results: For boys, tobacco price was negatively associated with weekly smoking rates. This association did not significantly differ between low and high FAS. Levels of tobacco-dependence treatment were significantly associated with weekly smoking. This association varied between low and high FAS, with higher treatment levels associated with higher probability of smoking only for low FAS boys. For girls, no tobacco policy was significantly associated with weekly smoking, irrespective of the FAS., Conclusions: Results indicated that most tobacco control policies are not clearly related to adolescent weekly smoking across European countries. Only tobacco price seemed to be adequate decreasing smoking prevalence among boys, irrespective of their socioeconomic status.

Objectives: To analyze how dimensions of social capital at the individual level are associated with adolescent smoking and whether associations differ by socioeconomic status., Methods: Data were from the 'Health Behaviour in School-aged Children' study 2005/2006 including 6511 15-year-old adolescents from Flemish Belgium, Canada, Romania and England. Socioeconomic status was measured using the Family Affluence Scale (FAS). Social capital was indicated by friend-related social capital, participation in school and voluntary organizations, trust and reciprocity in family, neighborhood and school. We conducted pooled logistic regression models with interaction terms and tested for cross-national differences., Results: Almost all dimensions of social capital were associated with a lower likelihood of smoking, except for friend-related social capital and school participation. The association of family-related social capital with smoking was significantly stronger for low FAS adolescents, whereas the association of vertical trust and reciprocity in school with smoking was significantly stronger for high FAS adolescents., Conclusions: Social capital may act both as a protective and a risk factor for adolescent smoking. Achieving higher levels of family-related social capital might reduce socioeconomic inequalities in adolescent smoking.

Background: Tobacco-related heath inequalities are a major public health concern, with smoking being more prevalent among lower socioeconomic groups. The aim of this study is to investigate the mechanisms leading to socioeconomic inequalities in smoking among 15-year-old adolescents by examining the mediating role of psychosocial factors in the peer group, family and school environment., Methods: Data were derived from the international WHO-collaborative 'Health Behaviour in School-aged Children (HBSC)' study 2005/2006, including 52 907 15-year-old students from 35 European and North American countries. Socioeconomic position was measured by the Family Affluence Scale. Multilevel logistic regression models were conducted to examine the contribution of family, school and peer factors in explaining the association between family affluence and weekly smoking., Results: Across countries, adolescents from low affluent families had an increased risk of weekly smoking (OR(boys) 1.14, confidence interval (CI) 1.05-1.23; OR(girls) 1.36, CI 1.26-1.46) compared with adolescents from high affluent families. Family and school factors mediated the association between family affluence and smoking to a high extent up to 100% (boys) and 81% (girls) in joint analyses. The most important single factors were family structure, relationships with parents, academic achievement and school satisfaction. Peer factors did not mediate the association between family affluence and adolescent smoking., Conclusion: The association between socioeconomic status and adolescent weekly smoking can largely be explained by an unequal distribution of family- and school-related factors. Focusing on the parent-adolescent relationship and adolescent school achievement can help to better understand inequalities in adolescent smoking behaviour., (© The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: This article describes trends and stability over time in health complaints in adolescents from 2002 to 2010 and investigates associations between health complaints, behavioural and social contextual factors at individual level and economic factors at macro-level., Methods: Comprising N = 510 876 11-, 13- and 15-year-old children and adolescents in Europe, North America and Israel, data came from three survey cycles of the international Health Behaviour in School-aged Children (HBSC) study. Age- and gender-adjusted trends in health complaints were examined in each country by means of linear regression. By using the country as the random effects variable, we tested to what extent individual and contextual variables were associated with health complaints., Results: Significant associations are stronger for individual level determinants (e.g. being bullied, smoking) than for determinants at macro-level (e.g. GDP, Gini), as can be seen by the small effect sizes (less than 5% for different trends). Health complaints are fairly stable over time in most countries, and no clear international trend in health complaints can be observed between 2002 and 2010. The most prominent stable determinants were being female, being bullied, school pressure and smoking., Conclusion: Factors associated with health complaints are more related to the proximal environment than to distal macro-level factors. This points towards intensifying targeted interventions, (e.g. for bullying) and also targeting specific risk groups. The comparably small effect size at country-level indicates that country-level factors have an impact on health and should not be ignored., (© The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: The recent economic recession, which began in 2007, has had a detrimental effect on the health of the adult population, but no study yet has investigated the impact of this downturn on adolescent health. This article uniquely examines the effect of the crisis on adolescents' psychological health complaints in a cross-national comparison., Methods: Data came from the World Health Organization collaborative 'Health Behaviour in School-aged Children' study in 2005-06 and 2009-10. We measured change in psychological health complaints from before to during the recession in the context of changing adult and adolescent unemployment rates. Furthermore, we used logistic multilevel regression to model the impact of absolute unemployment in 2010 and its change rate between 2005-06 and 2009-10 on adolescents' psychological health complaints in 2010., Results: Descriptive results showed that although youth and adult unemployment has increased during the economic crisis, rates of psychological health complaints among adolescents were unaffected in some countries and even decreased in others. Multilevel regression models support this finding and reveal that only youth unemployment in 2010 increased the likelihood of psychological health complaints, whereas its change rate in light of the recession as well as adult unemployment did not relate to levels of psychological health complaints., Conclusion: In contrast to recent findings, our study indicates that the negative shift of the recent recession on the employment market in several countries has not affected adolescents' psychological health complaints. Adolescents' well-being instead seems to be influenced by the current situation on the labour market that shapes their occupational outlook., (© The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: The relative contribution of different pathways leading to health inequalities in adolescence was rarely investigated, especially in a cross-national perspective. The aim of the study is to analyse the contribution of psychosocial and behavioural factors in the explanation of inequalities in adolescent self-rated health (SRH) by family wealth in 28 countries., Methods: This study was based on the international WHO 'Health Behaviour in School-aged Children' (HBSC) study carried out in 2005/2006. The total sample included 117 460 adolescents aged 11-15 in 28 European and North American countries. Socioeconomic position was measured using the Family Affluence Scale (FAS). Multilevel logistic regression models were conducted to analyse the direct (independent) and indirect contribution of psychosocial and behavioural factors on SRH., Results: Across all countries, adolescents from low affluent families had a higher risk of reporting fair/poor SRH (OR1.76, CI 1.69 to 1.84). Separate adjustments for psychosocial and behavioural factors reduced the OR of students with low family affluence by 39% (psychosocial) and 22% (behavioural). Together, both approaches explained about 50-60% of inequalities by family affluence in adolescent SRH. Separate analyses showed that relationship to father and academic achievement (psychosocial factors) as well as physical activity and consumption of fruits/vegetables (behavioural factors) were the most important factors in explaining inequalities in SRH., Conclusions: More than half of the inequalities by family affluence in adolescent SRH were explained by an unequal distribution of psychosocial and behavioural factors. Combining both approaches showed that the contribution of psychosocial factors was higher due to their direct (independent) and indirect impact through behavioural factors., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Background and Objectives: No recent international studies provide evidence about its prevalence, trends, or social determinants of physical fighting in adolescents. We studied cross-national epidemiologic trends over time in the occurrence of frequent physical fighting, demographic variations in reported trends, and national wealth and income inequality as correlates., Methods: Cross-sectional surveys were administered in school settings in 2002, 2006, and 2010. Participants (N = 493874) included eligible and consenting students aged 11, 13, and 15 years in sampled schools from 30 mainly European and North American countries. Individual measures included engagement in frequent physical fighting, age, gender, participation in multiple risk behaviors, victimization by bullying, and family affluence. Contextual measures included national income inequality, absolute wealth and homicide rates. Temporal measure was survey cycle (year)., Results: Frequent physical fighting declined over time in 19 (63%) of 30 countries (from descriptive then multiple Poisson regression analyses). Contextual measures of absolute wealth (relative risk 0.96, 95% confidence interval 0.93-0.99 per 1 SD increase in gross domestic product per capita) but not income inequality (relative risk 1.01, 95% confidence interval 0.98-1.05 per 1 SD increase) related to lower levels of engagement in fighting. Other risk factors identified were male gender, younger age (11 years), multiple risk behaviors, victimization by bullying, and national homicide rates., Conclusions: Between 2002 and 2010, adolescent physical fighting declined in most countries. Specific groups of adolescents require targeted violence reduction programs. Possible determinants responsible for the observed declines are discussed.