Department of Human Development, 315 Wallace Hall (0416), Virginia Tech, Blacksburg, VA 24061, USA.
Am J Public Health. 2010 Sep;100(9):1708-13. doi: 10.2105/AJPH.2008.145557. Epub 2009 Dec 17.
We examined whether individual and neighborhood characteristics associated with smoking were also predictive of exposure to smoking prevention education in schools, to determine whether education programs were targeted appropriately to reach neighborhoods with the greatest need.
We merged data from 2 sources-the 2005 Virginia Youth Tobacco Survey (n=2208) and the Census 2000 School District Demographics Project-and used binary multilevel models with random effects to determine whether the same demographic characteristics and neighborhood characteristics predicted both adolescent smoking and exposure to prevention programs.
We found that although light, medium, and heavy smoking rates were higher in neighborhoods of lower socioeconomic status (relative risk ratio=1.49, 1.36, and 1.65, respectively), prevention programs were less available in those areas (odds ratio=0.82).
Our study indicates that school prevention programs are not being effectively targeted and that more effective ways to reach high-risk and disadvantaged neighborhoods are needed.
我们考察了与吸烟相关的个体和社区特征是否也能预测青少年在学校接受吸烟预防教育的情况，以确定教育计划是否能够适当地针对最需要的社区开展。
我们合并了两个来源的数据——2005 年弗吉尼亚州青少年烟草调查（n=2208）和 2000 年人口普查学区人口统计项目，并使用具有随机效应的二元多层模型来确定相同的人口统计学特征和社区特征是否同时预测青少年吸烟和预防计划的暴露情况。
我们发现，尽管社会经济地位较低的社区中轻、中、重度吸烟率较高（相对风险比分别为 1.49、1.36 和 1.65），但这些地区的预防计划却较少（比值比为 0.82）。
我们的研究表明，学校预防计划的针对性不够强，需要寻找更有效的方法来覆盖高风险和弱势社区。
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