Individual and contextual determinants of perceived peer smoking prevalence among adolescents in six European cities

The State of Norm-Based Antismoking Research: Conceptual Frameworks, Research Designs, and Implications for Interventions

This synthesis review examined 189 qualified studies on norms and smoking in terms of conceptual frameworks, types of social norms, research designs, dependent variables, independent variables and covariates, and findings related to norms. Results show that 7.9% were experimental, and the remaining were cross-sectional. By far, the reasoned action approach (RAA) was the most-cited theory, but RAA was not used to guide experimental designs. The social norms approach, norm focus theory, social cognitive theory guided the intervention experiments. Harmful norms were more frequently examined than healthful norms. Pro-smoking norms positively predicted smoking intentions and behaviors, whereas antismoking norms positively predicted antismoking intentions and behaviors. The over-application of RAA in cross-sectional antismoking research has yielded repetitive findings. Norm-based experiments can adopt other theoretical perspectives to offer insights into antismoking interventions. The RAA constructs are still applicable and can be integrated into intervention designs.

Risk and protective factors associated with health risk behaviours among school learners in Western Cape, South Africa

BACKGROUND

Health risk behaviour is rife among school learners in the Western Cape province. This paper assesses risk and protective factors related to health risk behaviours among high school learners.

METHOD

Longitudinal data were sourced from 2950, 2675 and 2230 at Time 0, Time 1 and Time 2 among grade 8 learners aged 13-18 years between 2012 and 2013. Health risk behaviours were assessed on alcohol consumption, smoking cannabis in the past six months, and ever having sexual intercourse. The sociodemographic variables examined were age, sex, residence, socioeconomic status (SES), family structure and population group. Contextual variables studied were the feeling of learners about the intervention program, participation in religious activities, paid casual work and school sports. Descriptive statistics, bivariate associations and binary logistic analyses predicting health risk behaviours were carried out using generalized linear mixed models after restructuring the data collected at different time points.

RESULT

Health risk behaviours increased consistently for alcohol consumption (25.7-42.7%), smoking cannabis (10.4-22.1%) and (22.3-36.0%) engaging in sexual intercourse. Increasing age emerged as a risk factor for all the health risk behaviours: alcohol consumption [OR:1.3 (1.2-1.4), p < 0.001]; smoking cannabis [OR:1.3 (1.2-1.4), p < 0.001] and had sex [OR:1.5 (1.4-1.7), p < 0.001]. Participation in paid casual work also predicted health risk behaviour: alcohol use [OR:1.5 (1.2-1.8), p < 0.001]; smoking cannabis [OR:1.3 (1.0-1.7), p < 0.05] and sex [OR:1.4 (1.1-1.7), p < 0.01]. High SES and feelings about the EPEP programme enhanced alcohol consumption and smoking cannabis. Smoking cannabis was augmented by residing in an urban area. Participation in school sports was associated with increased alcohol consumption and engaging in sexual intercourse. Participation in religious activities was protected against alcohol consumption [OR:0.7 (0.53-0.83), p < 0.001]; and sex [OR: 0.5 (0.4-0.7), p < 0.001]. Being a female and belonging to a coloured population group diminished engaging in sexual intercourse, and the family structure of both parents attenuated involvement in smoking cannabis.

CONCLUSION

The findings of the study on risks and protective factors on health risk behaviours mirror those of school-based programmes in developing countries. Learners who participated in paid work and school sports are at risk of adverse health outcomes. Furthermore, participation in religious practices and family structure roles in attenuating health risk behaviours should be integrated and considered in the school-based intervention programme.

[The association between school tobacco policies and the perceived smoking prevalence of adolescents]

BACKGROUND

In the German context, there is hardly any quantitative data about the implementation of school tobacco polices that include the perspective of both teachers and students. The aim of the study is to investigate the associations between implemented school tobacco policies and the perceived prevalence of smoking at the level of school staff and adolescents.

METHODS

The repeated cross-sectional study (2013 and 2017) is based on pooled responses of 13- to 17-year-old adolescents (N = 2393) and school staff (N = 85) from 25 schools located in the West German metropolitan region of Hanover. In linear regression models, average marginal effects (AMEs) with 95% confidence intervals (CI95%) and robust standard errors for perceived tobacco prevalence are reported separately for school tobacco policies assessed by teachers and students (scale 0-6). All models were controlled for sociodemographic, school-, and smoking-specific covariates.

RESULTS

On average, adolescents perceive a smoking prevalence of 30% ([Formula: see text]; s: 24.0) for their school. A comprehensive school tobacco policy is consistently associated with lower school smoking prevalence both from the point of view of teachers (AME: -3.54 CI95% -6.49 to -0.58) and students (AME: -1.69 CI95% -2.52 to -0.86). The number of smoking friends (e.g., "most of them are smokers" +14%: AME: 14.13 CI95% 10.46 to 17.80) and the type of school are the most relevant determinants of a high school smoking prevalence. School types with a nonacademic track report a 15% (AME: 15.03 CI95% 10.13 to 19.93) higher prevalence compared to grammar schools.

DISCUSSION

Progressive school tobacco control policies should focus more on school types with nonacademic tracks, certain groups at risk, and those schools that do not strictly enforce school tobacco policies.

Exposure to car smoking among youth in seven cities across the European Union

BACKGROUND

In the United States and Canada, cars were found to be a major source of harmful secondhand smoke (SHS) exposure among youth. Little is known about the magnitude of this public health problem in European countries. We study SHS exposure in vehicles among adolescents across seven cities of the European Union (EU), with a particular focus on socioeconomic characteristics and smoking in adolescents' social environment.

METHODS

Self-reported survey data on SHS exposure in cars during the past seven days was obtained from the 2016/17 cross-sectional SILNE-R study for 14- to 17 year old adolescents in seven EU cities (N = 10,481). We applied two multivariable logistic regression models with sociodemographic characteristics and mediating smoking-related factors.

RESULTS

SHS exposure in cars varied widely across the seven EU cities: 6% in Tampere (Finland), 12% in Dublin (Ireland), 15% in Amersfoort (the Netherlands), 19% in Hanover (Germany), 23% in Coimbra (Portugal), 36% in Namur (Belgium) and 43% in Latina (Italy). Low paternal (OR 1.65, CI95% 1.38-1.98) and maternal (OR 1.40, CI95% 1.16-1.68) educational levels and parental migration (OR 1.37, CI95% 1.14-1.64) backgrounds were correlated with SHS exposure in cars. Other correlates were one's own or peer smoking and environmental family factors, such as having at least one parental smoker (OR 4.04, CI95% 3.49-4.68) and partial smoking bans at home.

CONCLUSIONS

In most of these seven cities, a considerable proportion of youth riding in cars, particularly those from disadvantaged and smoking-permissive backgrounds, is exposed to SHS in cars.

Social Norms and Smoking Risk in iTaukei Fijian Adolescent Women

OBJECTIVE

To investigate the association of a variety of social smoking exposures with cigarette smoking among iTaukei adolescent women in Fiji.

METHODS

Self-report data were collected in a representative sample of school-going iTaukei adolescent women (n=523). We fitted logistic regression models of current cigarette smoking with school, peer, media, and other social exposures to smoking as predictors.

RESULTS

Current cigarette smoking was associated with exposure to close friend, peer, and routine social smoking as well as higher prevalence of school peer smoking, but not parent tobacco use and media smoking exposures-in our fully adjusted model.

CONCLUSIONS

Peer and school-based smoking exposures may increase cigarette smoking risk in school-going iTaukei adolescent women and may be strategic interventional targets to augment existing preventive approaches.

Nicotine dependence among adolescents in the European Union: How many and who are affected?

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.