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Background and aims: Among European countries, France is particularly concerned by adolescent tobacco smoking, especially in disadvantaged socio‐economic backgrounds (SES). We measured the respective contributions of parental smoking and family living arrangement to social disparities in smoking during adolescence. Design: Secondary analysis of survey data. Setting: A cross‐sectional nation‐wide exhaustive 12‐day survey in March 2017 of French youth aged 17–18.5 years participating in the national mandatory civic information day. Participants: A total of 13 314 adolescents answering a pen‐and‐paper questionnaire about their own tobacco consumption and the smoking of their parents. Measurements Risk ratios (RRs) were computed using modified Poisson regressions, and population‐attributable fraction (PAF) was used as a measure of the explanatory roles of the different factors as mediators of SES. Findings Adolescents living within very privileged and privileged SES were significantly less likely to report daily tobacco smoking (20.4 and 22.7%, respectively) than those within modest and disadvantaged ones (26.0 and 28.6%, respectively). Parental smoking and family living arrangement independently explained the smoking inequalities among adolescents. After adjusting for schooling factors, the risks associated with parental smoking ranged between RR = 1.64 [95% confidence interval (CI) = 1.50–1.79] when the father only smoked and RR = 2.17 (95% CI = 1.99–2.36) when both parents smoked, compared with non‐smoking parents; the risk associated with living in a non‐intact family was 1.35 (95% CI = 1.26–1.43) and that of living outside the parental home was 1.20 (95% CI = 1.10–1.30). Apprentices and adolescents out of school had higher risks than those at school (RR = 1.82, 95% CI = 1.68–1.98) and RR = 2.10, 95% CI = 1.92–2.29). The contribution of parental smoking to adolescent smoking (PAF = 32%) was greater than that of SES (PAF = 9%), family living arrangement (PAF = 17%) or schooling factors (14%). The share of SES decreased from 18 to 9% when considering these mediating factors. Conclusion: In France, parental smoking appears to be the factor that most influences adolescent smoking, followed by family living arrangement; the role of family socio‐economic status is small in comparison. [ABSTRACT FROM AUTHOR]

Aim In France, following a long-term decline in smoking prevalence, an increase in smoking was observed between 2005 and 2010, an unusual occurrence in countries in the 'mature' stage of the smoking epidemic. By contrast, smoking prevalence in England, the neighbouring country, continued its long-term decline. Methods We identified and translated recent reports on smoking and tobacco control in France and using these assessed the main data sources on smoking and compared them with similar sources in England, in order to explore possible explanations. In France, national smoking prevalence data are collected 5-yearly, minimizing opportunities for fine-grained analysis; the comparable study in England is implemented annually. Results We identified several probable causes of the recent increased prevalence of smoking in France, the primary one being the absence of sufficient price rises between 2005 and 2010, due probably to the lack of a robust tobacco control strategy, which also appeared to have empowered tobacco industry influence. Funding to compensate tobacconists appears to incentivize tobacco sales and is significantly higher than tobacco control funding. Conclusions Mindful of the limitations of a case-study approach, the absence of sufficient price rises in the context of a weak tobacco control strategy seems the most likely explanation for the recent increase in smoking prevalence in France. A new cancer control plan and a national smoking reduction programme have been proposed by the French government in 2014 which, depending on implementation, may reverse the trend. In both countries, the higher levels of smoking among the more disadvantaged groups are of great concern and require greater political leadership for effective action. [ABSTRACT FROM AUTHOR]

Background and aims: Most studies in English‐speaking countries have found a positive association between e‐cigarette experimentation and subsequent daily tobacco smoking among adolescents. However, this result may not be valid in other cultural contexts; in addition, few studies have assessed whether this association varies with the subject' age at the time of e‐cigarette experimentation. This study aimed to estimate the association between experimenting first with e‐cigarette (rather than tobacco) and subsequent daily smoking according to age at the time of experimentation. Design Secondary analysis; risk ratios (RRs) computed using modified Poisson regressions with inverse probability weighting. Setting: A cross‐sectional nation‐wide representative survey performed in 2017 in France. Participants: French adolescents (n = 24 111), aged 17 to 18.5 years, who had previously experimented with either e‐cigarettes or tobacco. Measures Exposure was defined as the experimentation with e‐cigarettes first (whether or not followed by experimentation with tobacco); the outcome as daily tobacco smoking at the time of data collection. Gender, age, literacy, socio‐economic status, pre‐exposure repeat school years and experimentation with drunkeness, 3 licit and 8 illicit drugs were adjusted for. Uncertainties about the sequence of events defining exposure were handled by the definition of three patterns of exposure, to avoid a misclassification bias. Findings Exposure reduced the risk of transition to daily smoking: RR = 0.58, 95% confidence interval (CI) = 0.54, 0.62. This effect increased in a linear manner with age at exposure (RR = 0.87, 95% CI = 0.78; 0.98 for 1 year, P < 0.001): from RR = 1.30, 95% CI = 1.09; 1.54 at age 9 to RR = 0.38, 95% CI = 0.32; 0.45 at age 17. Conclusions: Experimenting with e‐cigarettes first (as opposed to tobacco first) appears to be associated with a reduction in the risk of daily tobacco smoking among French adolescents aged 17–18.5, but this risk varies negatively with age at experimentation, and early e‐cigarette experimenters are at higher risk. [ABSTRACT FROM AUTHOR]