Does smoke-free legislation work for teens too? A logistic regression analysis of smoking prevalence and gender among 16 years old in Ireland, using the 1995-2015 ESPAD school surveys

Association of national smoke-free policies with per-capita cigarette consumption and acute myocardial infarction mortality in Europe

BACKGROUND

Evidence on the association between smoke-free policies and per-capita cigarette consumption and mortality due to acute myocardial infarction (AMI) in Europe is limited. Hence, we aimed to assess this association and to evaluate which factors influence it.

METHODS

We performed an interrupted time series analysis, including 27 member states of the European Union and the UK, on per-capita cigarette consumption and AMI mortality.A multivariate meta-regression was used to assess the potential influence of other factors on the observed associations.

RESULTS

Around half of the smoke-free policies introduced were associated with a level or slope change, or both, of per-capita cigarette consumption and AMI mortality (17 of 35). As for cigarette consumption, the strongest level reduction was observed for the smoking ban issued in 2010 in Poland (rate ratio (RR): 0.47; 95% CI: 0.41, 0.53). Instead, the largest level reduction of AMI mortality was observed for the intervention introduced in 2012 in Bulgaria (RR: 0.38; 95% CI: 0.34, 0.42).Policies issued more recently or by countries with a lower human development index were found to be associated with a larger decrease in per-capita cigarette consumption. In addition, smoking bans applying to bars had a stronger inverse association with both cigarette consumption and AMI mortality.

CONCLUSIONS

The results of our study suggest that smoke-free policies are effective at reducing per-capita cigarette consumption and AMI mortality. It is extremely important to monitor and register data on tobacco, its prevalence and consumption to be able to tackle its health effects with concerted efforts.

Increased smoking and e-cigarette use among Irish teenagers: a new threat to Tobacco Free Ireland 2025

Tobacco Free Ireland is an Irish Government policy which demands that the prevalence of tobacco smoking in Ireland be less than 5% by 2025. From 1995 to 2015, teen smoking decreased from 41% in 1995 to 13.1% in 2015, and SimSmoke modelling suggested that the 5% 2025 target was achievable in this group [1]. But, in 2019, current smoking (smoked in the past 30 days) increased overall from 13.1% in 2015 to 14.4% in 2019, with the increase being greater in boys than girls (16.2% versus 12.8%) [2]. This threatens the Tobacco Free Ireland endgame. Here, we draw on data from two waves (2015 and 2019) of the Irish ESPAD (European School Survey Project on Alcohol and other Drugs) to analyse the use of tobacco products by teenagers and offer an explanation for the change.

Smoking prevalence decreased in Irish teenagers in all ESPAD survey waves from 1995 until 2015. However, in ESPAD 2019, current teen smoking and e-cigarette use increased, threatening Ireland's 5% prevalence tobacco endgame strategy.https://bit.ly/3yXVAyN

E-cigarettes and smoking in Irish teens: a logistic regression analysis of current (past 30-day) use of e-cigarettes

Aim

Electronic cigarette (e-cigarette) use among Irish teenagers has risen significantly. In 2019, prevalence of current use (last 30 days) among 15–17-year-olds was 17.3%. We examine social determinants of adolescent e-cigarette current use.

Subject and methods

A stratified random sample of 50 schools in Ireland was surveyed in 2019, part of the European School Survey Project on Alcohol and other Drugs (ESPAD), with 3495 students aged 15, 16, and 17. Bivariate and multivariable logistic regression [providing adjusted odds ratios (AORs)] analyses were performed using Stata version 16.

Results

Current e-cigarette users were more likely to be male (AOR = 0.55, 95% CI:0.32–0.96, p < .01), younger (AOR = 0.34, 95% CI: 0.17–0.67, p = < .05), to participate in sport (AOR = 2.21, 95% CI: 1.05–4.65, p < .05), to have higher-educated parents (maternal higher education: AOR = 27.54, 95% CI: 1.50–505.77, p = < .05, paternal higher education: AOR = 2.44, 95% CI: 1.00–5.91, p < .05), and less likely to consider their families better off (AOR = 0.29, 95% CI: 0.13–0.65, p < .01), or to report familial support (AOR = 0.78, 95% CI: 0.64–0.95, p < .05). They were more likely to be cigarette smokers (AOR = 7.22, 95% CI: 3.97–13.12, p < .001), to report problem cannabis use (AOR = 3.12, 95% CI: 1.40–6.93, p < .01), to be ‘binge’ drinkers (AOR = 1.81, 95% CI : 1.00–3.32, p = .054), and to have friends who get drunk (AOR = 5.30, 95% CI: 1.34–20.86, p < .05).

Conclusion

Boys, smokers, binge drinkers, problem cannabis users, and sport-playing teenagers from higher-educated families, are at particular risk. As the number of young people using e-cigarettes continues to rise, including teenagers who have never smoked, improved regulation of e-cigarettes, similar to other tobacco-related products, is needed urgently to prevent this worrying new trend of initiation into nicotine addiction.

A qualitative study of e-cigarette use among young people in Ireland: Incentives, disincentives, and putative cessation

BACKGROUND

Smoking prevalence in Ireland is falling in all age groups, but e-cigarette use is rising among young people. This qualitative study explores young people's accounts of e-cigarette use in Ireland.

METHODS

Semi-structured individual (22) and focus group (8) interviews were conducted with 62 young people aged 18-22 years, recruited from a higher-education institution and youth organisations working with early school-leavers across Dublin. All were smokers or ex-smokers; 41 had tried e-cigarettes, 11 continued as dual users. We identified themes using thematic data analysis.

RESULTS

Three broad themes were identified: incentivising features, disincentivising features, and ambivalent and unsuccessful cessation, named putative smoking cessation. Incentivising features included price, pleasing taste/ flavours, and the possibility of indoor use. Disincentivising features related to adverse health effects (pain, discomfort, sore throat, coughing, headache) and unpleasant physical effects (bad taste, problems resulting from device faults). Other disincentives were over-consumption arising from inability to control intake, "greater addictiveness", product taste, and device faults. Putative cessation refers to the conflict between participants' expected use of e-cigarettes as a smoking cessation/reduction aid and their observed reality of e-cigarettes' failure in this regard, with reported outcomes including: failure to quit or reduce; continued or resumed cigarette and/or roll-your-own smoking; dual use of e-cigarettes and other tobacco products; and inability to quit e-cigarettes.

CONCLUSIONS

Participants were sceptical about e-cigarettes' "purported relative healthiness", concerned about addictiveness and potential long-term health consequences, and critically aware of advertising and industry strategies. E-cigarettes were viewed as being less denormalised, in part because they could be used in indoor spaces where smoking is banned in Ireland. Although price, taste, and perceived renormalisation were important motivators for young people's use of e-cigarettes, they wanted to quit smoking. The regulation of e-cigarettes through age restriction of access, licensing of outlets, pricing, point of sale and advertising restrictions as well as through the banning of indoor use should be considered by legislators and tobacco control policymakers.