Multilevel analysis of school anti-smoking education and current cigarette use among South African students.

INTRODUCTION: South Africa (SA) implemented the Global Youth Tobacco Survey (GYTS) four times between 1999 and 2011. Data from the four surveys indicated that downward trends in cigarette use among students may have stalled. Understanding the effect of school anti-smoking education on current smoking among students within schools and variability across schools may provide important insights into policies aimed at preventing or reducing tobacco use among students. The objective was to assess the student- and school-level effects of students' exposure to school anti-smoking education on current cigarette use among the study population using the most recent wave of GYTS data in SA (2011). METHODS: An analytic sample of students 13-15 years of age was selected (n=3,068) from the SA GYTS 2011. A taxonomy of two-level logistic regression models was fit to assess the relationship of various tobacco use, control, and exposure predictor variables on current cigarette smoking among the study population. RESULTS: At the student-level in the full model, secondhand smoke (SHS) exposure, peer smoking, and ownership of a promotional item were significantly associated with higher risk of current smoking. At the school-level in the full model, average exposure to peer smoking was associated with significant increases in the prevalence of current cigarette use, while average family anti-smoking education was significantly associated with decreases in the outcome variable. School anti-smoking education was not a statistically significant predictor at the student- or school-levels. CONCLUSION: in this study, exposure to school anti-smoking education had no association with current cigarette smoking among the study population. Consistent with previous studies, having peers that smoked was highly associated with a student being a current smoker. Interestingly, at the school-level in the multilevel analysis, schools with higher rates of average family anti-smoking education had lower prevalence of current smoking. This finding has potential implications for tobacco control in SA, particularly if the school-level, family-centered protective effect can be operationalized as a prevention tool in the country's tobacco control program.

Youth access to cigarettes in six sub-Saharan African countries.

OBJECTIVE: Tobacco smoking is initiated and established mostly during adolescence. The World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) Article 16 outlines the obligation of parties to prohibit the sale of tobacco products to minors. This study examined where and how student smokers obtain cigarettes. METHODS: We examined Global Youth Tobacco Survey (GYTS) data from 2009 to 2011 on cigarette access among students aged 13-15 in six sub-Saharan African countries. RESULTS: In all countries analyzed, over 20% of student smokers obtained their cigarettes in a store or shop (52.6% in South Africa, 37.7% in Republic of Congo, 28.2% in Swaziland, 27.4% in Cote d'Ivoire, 26.9% in Ghana, and 22.6% in Uganda). In Cote d'Ivoire and South Africa, 68.9% and 68.7% of student cigarette smokers, respectively, were not refused the sale of cigarettes because of age. The percentage of students who were offered free cigarettes by a tobacco company representative ranged from 4.7% in Cote d'Ivoire to 12.1% in South Africa. CONCLUSIONS: The method of obtaining cigarettes and access to cigarettes among students varies among sub-Saharan African countries. Adopting and enforcing interventions that prevent youth from accessing tobacco products could be an effective strategy for reducing smoking initiation among youth in sub-Saharan African countries.

Changes in Georgia restaurant and bar smoking policies from 2006 to 2012.

INTRODUCTION: The purpose of this study is to examine the change in smoking policy status among Georgia restaurants and bars from 2006 to 2012 and to identify restaurant and bar characteristics that are associated with allowing smoking. METHODS: Data were obtained from similar cross-sectional indoor air surveys conducted in 2006 and 2012 in Georgia. Both surveys were designed to gather information about restaurant and bar smoking policies. Weighted χ(2) analyses were performed to identify changes in smoking policy status and other variables from 2006 to 2012. Weighted logistic regression analysis was used to test for significant associations between an establishment's smoking policy and other characteristics. RESULTS: The percentage of restaurants and bars in Georgia that allowed smoking nearly doubled, from 9.1% in 2006 to 17.6% in 2012. The analyses also showed a significant increase in the percentage of establishments that allow smoking when minors are present. Having a liquor license was a significant predictor of allowing smoking. CONCLUSION: The Smokefree Air Act was enacted in 2005 to protect the health and welfare of Georgia citizens, but study results suggest that policy makers should reevaluate the law and consider strengthening it to make restaurants and bars 100% smokefree without exemptions.