Effect of a Smoking Ban and School-Based Prevention and Control Policies on Adolescent Smoking in Spain: A Multilevel Analysis

Galán, Iñaki; Díez‐Gañán, Lucía; Gandarillas, Ana; Mata, Nelva; Cantero, José L.; Durbán, Maŕıa

doi:10.1007/s11121-012-0283-4

Cited by 6 publications

(6 citation statements)

References 41 publications

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“…Thus, the school and friendship effects may need to be considered within a national context. For example, more stringent tobacco-control policies at the country level may lead to some schools implementing these regulations, resulting in increased differences between schools in smoking outcomes (Galán et al, 2012). However, the almost all social network studies of adolescents' health behaviour have been carried out in a single country, with the exception of the ESFA study, carried out in six European countries; on the whole, few cross-comparative social network studies have been carried out for more than two countries.…”

Section: Introductionmentioning

confidence: 99%

Peer, school, and country variations in adolescents’ health behaviour: A multilevel analysis of binary response variables in six European cities

Lorant

Tranmer

2019

Social Networks

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Adolescents often display similar health behaviour to their peers. Peer effects on health behaviour may be influenced by the school context, and by the country of residence. According to the complex contagion theory, these effects for risky health behaviour may be different from protective health behaviour. This paper combines social network analysis and multilevel analysis to estimate the relative share of variation of risky and protective health behaviours at different levels of the population structure: individuals, peer (friendship) networks, and schools. To achieve these aims, multiple membership models are applied to estimate variations in smoking, drinking, cannabis use, and physical activity at the individual, peer, and school levels, taking into account the differences between countries. The data come from a social network survey carried out in 50 schools in six medium-sized European cities. Networks of peers were found to have similar risky health behaviour when it comes to smoking, drinking, and cannabis use. This was not true, however, for positive health behaviour, i.e. physical activity. For smoking, drinking, and cannabis use, the peer network accounted for almost half of the total behaviour variance. In comparison, the school variance was quite small for all health behaviour. The results suggest that interventions are best carried out at the peernetwork level, particularly for behaviour vulnerable to complex contagion, such as smoking and cannabis use. Keywords: social network analysis; whole network design; multilevel analysis; health behaviour; adolescent health; international comparison; Highlights: • The peer network accounted for half of the variance for risky health behaviour. • This was not true for physical activity, a protective health behaviour. • School corresponds to a much smaller share of the overall variation for these behaviours. • Future public health research on adolescents should emphasise peer-level components, particularly for risky behaviour.

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Section: Introductionmentioning

confidence: 99%

Peer, school, and country variations in adolescents’ health behaviour: A multilevel analysis of binary response variables in six European cities

Lorant

Tranmer

2019

Social Networks

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“…School socioeconomic status, independent of family income, has been associated with smoking and alcohol consumption (Moore & Littlecott, 2015). Commitment to school in high school appears to be strongly associated with a low risk of smoking (Gaete, Montgomery, & Araya, 2015), and strong antitobacco polices at school have been associated with less smoking (Galan et al, 2012;Paek, Hove, & Oh, 2013;Wiium, Burgess, & Moore, 2011).…”

Section: Introductionmentioning

confidence: 99%

Individual and contextual factors associated with tobacco, alcohol, and cannabis use among Chilean adolescents: A multilevel study

Gaete

Araya

2017

Journal of Adolescence

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We studied the association between individual and contextual variables and the use of tobacco, alcohol, or cannabis in the last 30 days preceding the study, considering the hierarchical nature of students nested in schools. We used the 7th Chilean National School Survey of Substance Use (2007) covering 45,273 students (aged 12-21 years old) along with information from 1465 schools provided by the Chilean Ministry of Education. Multilevel univariable and multivariable logistic regression models were performed. We found a significant intra-class correlation within schools for all substances in the study. Common (e.g., availability of pocket money, more time spent with friends, poor parental monitoring, poor school bonding, bullying others, and lower risk perception of substance use) and unique predictors (e.g., school achievement on national tests) were identified. These findings may help in planning and conducting preventive interventions to reduce substance use.

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“…Similarly, poor parental monitoring is associated with tobacco, alcohol and cannabis use (Gaete and Araya, 2017). Regarding school factors, poor school bonding increases the likelihood of substance use (Gaete and Araya, 2017), and strong anti-tobacco polices at school have been associated with less smoking (Wiium et al, 2011; Galan et al, 2012; Paek et al, 2013). Therefore, adjusting for these variables in the analyses of the association between bullying experience and substance use seems a reasonable approach.”…”

Section: Introductionmentioning

confidence: 99%

Substance Use among Adolescents Involved in Bullying: A Cross-Sectional Multilevel Study

et al. 2017

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Being involved in bullying as a victim or perpetrator could have deleterious health consequences. Even though there is some evidence that bullies and victims of bullying have a higher risk for drug use, less is known about bystanders. The aim of this research was to study the association between bullying experience (as victims, bullies, or bystanders) and substance use. We gathered complete information from a nationally representative sample of 36,687 students (51.4% female) attending 756 schools in Chile. We used a self-reported questionnaire which was developed based on similar instruments used elsewhere. This questionnaire was piloted and presented to an expert panel for approval. We used multilevel multivariate logistic regression analyses, controlling for several variables at the individual (e.g., school membership, parental monitoring) and school levels (e.g., school type, school denomination). This study shows that bullies and bully-victims have a high risk for cigarette, alcohol, and cannabis use than bystanders. This is one of the few studies exploring the association between witnessing bullying and substance use. These findings add new insights to the study of the co-occurrence of bullying and substance use. Other factors, such as higher academic performance, stronger school membership, and better parental monitoring reduced the risk of any substance use, while the experience of domestic violence and the perception of social disorganization in the neighborhood, increased the risk. These findings may help the design of preventive interventions.

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Effect of a Smoking Ban and School-Based Prevention and Control Policies on Adolescent Smoking in Spain: A Multilevel Analysis

Cited by 6 publications

References 41 publications

Peer, school, and country variations in adolescents’ health behaviour: A multilevel analysis of binary response variables in six European cities

Peer, school, and country variations in adolescents’ health behaviour: A multilevel analysis of binary response variables in six European cities

Individual and contextual factors associated with tobacco, alcohol, and cannabis use among Chilean adolescents: A multilevel study

Substance Use among Adolescents Involved in Bullying: A Cross-Sectional Multilevel Study

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