Smoking and associated factors among adolescents in Tallinn, Helsinki and Moscow: a multilevel analysis

Pärna, Kersti; Rahu, Kaja; Fischer, Krista; Mussalo‐Rauhamaa, Helena; Zhuravleva, Irina; Umbleja, Triin; Rahu, Mati

doi:10.1080/14034940210165091

Cited by 20 publications

(9 citation statements)

References 18 publications

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“…The finding that smoking increases with age mirrors that from earlier studies in Russia (Pärna et al 2003), as does the much greater prevalence of smoking recorded among boys compared with girls (McDermott et al 1998). When girls' and boys' data were entered into the same ageadjusted model it showed that boys were nearly 6.5 times more likely to be smokers (OR = 6.41; CI: 3.19-10.51) (data not shown).…”

Section: Discussionsupporting

confidence: 76%

The social determinants of adolescent smoking in Russia in 2004

Kislitsyna

Stickley

Gilmore

2010

Int J Public Health

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The family environment appears to be an important determinant of adolescent smoking in Russia. In particular, boys and girls may be modelling the negative health behaviour lifestyles of their parents, with unhealthy behaviours clustering. Efforts to reduce adolescent smoking in Russia must address the negative effects emanating from the parental home whilst also addressing associated behaviours such as alcohol use.

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Section: Discussionsupporting

confidence: 76%

The social determinants of adolescent smoking in Russia in 2004

Kislitsyna

Stickley

Gilmore

2010

Int J Public Health

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“…10 37 39 40 46 55 57–62 64 65 73 74 76 77 79 80 87–89 Subgroup analyses showed higher magnitudes of effect for poorer quality (OR 2.95, 95% CI 2.09 to 4.18) than for high quality studies (OR 1.87, 95% CI 1.62 to 2.17), and for studies assessing ever tried smoking (OR 2.60, 95% CI 1.95 to 3.46, 10 studies) (test for subgroup differences, p<0.0001 for both comparisons). Sensitivity analyses where studies with outlier results were excluded had marginal effects on the pooled estimate (OR 2.04, 95% CI 1.81 to 2.30, I 2 =77%, excluded studies57 59 64).…”

Section: Resultsmentioning

confidence: 99%

Exposure to parental and sibling smoking and the risk of smoking uptake in childhood and adolescence: a systematic review and meta-analysis

Leonardi‐Bee

Jere

Britton

2011

Thorax

357

268

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Background There is increasing evidence that contact with other smokers, particularly in the family, is a strong determinant of risk of smoking uptake. A systematic review and meta-analysis of the magnitude of these effects is reported. Methods Studies were identified by searching four databases to March 2009 and proceedings from international conferences. Meta-analyses were performed using random effects, with results presented as pooled ORs with 95% CIs. Results 58 studies were included in the meta-analyses. The relative odds of uptake of smoking in children were increased significantly if at least one parent smoked (OR 1.72, 95% CI 1.59 to 1.86), more so by smoking by the mother (OR 2.19, 95% CI 1.73 to 2.79) than the father (OR 1.66, 95% CI 1.42 to 1.94), and if both parents smoked (OR 2.73, 95% CI 2.28 to 3.28). Smoking by a sibling increased the odds of smoking uptake by 2.30 (95% CI 1.85 to 2.86) and smoking by any household member by 1.92 (95% CI 1.70 to 2.16). After adjusting for overestimation of RRs it is estimated that, in England and Wales, around 17 000 young people take up smoking by the age of 15 each year as a consequence of exposure to household smoking. Conclusions Parental and sibling smoking is a strong and significant determinant of the risk of smoking uptake by children and young people and, as such, is a major and entirely avoidable health risk. Children should be protected from exposure to smoking behaviour, especially by family members.

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“…Higher grade [75]–[77] and lower self-rated academic achievement [44], frequent alcohol [44], [72] and substance use [6], higher level of stress [78]–[80], and more depressive symptoms [81], [82] were each associated with ever smoking, current smoking, and daily smoking.…”

Section: Discussionmentioning

confidence: 99%

Household and School-Level Influences on Smoking Behavior among Korean Adolescents: A Multilevel Analysis

Heo

Subramanian

et al. 2014

PLoS ONE

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BackgroundTrends in adolescent smoking rates in South Korea have not shown substantial progress due to a lack of effective anti-smoking interventions and policies in school settings.Methods and FindingsWe examined individual- and school-level determinants of adolescent smoking behavior (ever smoking, current smoking, and daily smoking) using the nationally representative fifth Korean Youth Risk Behavior Web-based Survey conducted in 2009. We found that students in coeducation schools or vocational high schools had greater risks of smoking for each type of smoking behavior than those in single-sex schools or general high schools, respectively even after controlling for individual-level factors. Higher family affluence and higher weekly allowances were associated with greater risks of ever smoking, current smoking and daily smoking even after controlling for parental education and other confounders.ConclusionsWhilst caution is required in interpreting results given the cross-sectional nature of the study, our findings suggest that in addition to raising the price of cigarettes, youth anti-smoking interventions in South Korea may benefit from focusing on coeducation schools and vocational high schools.

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Smoking and associated factors among adolescents in Tallinn, Helsinki and Moscow: a multilevel analysis

Abstract: Strategies aimed at influencing smoking behaviour need to be directed not only towards the individual, but also towards the influences within the child's school environment.

Cited by 20 publications

References 18 publications

The social determinants of adolescent smoking in Russia in 2004

The social determinants of adolescent smoking in Russia in 2004

Exposure to parental and sibling smoking and the risk of smoking uptake in childhood and adolescence: a systematic review and meta-analysis

Household and School-Level Influences on Smoking Behavior among Korean Adolescents: A Multilevel Analysis

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