Washington University in St. Louis, St. Louis, MO 63130, USA.
Health Educ Behav. 2011 Dec;38(6):574-83. doi: 10.1177/1090198110385894. Epub 2011 Apr 1.
The authors surveyed 1,998 Missourians to evaluate (a) awareness and (b) understanding of messages about the impact of tobacco use in Missouri, (c) belief in the accuracy of the messages, and (d) intention to vote for a tobacco tax increase on the basis of the messages. Using structural equation modeling, the relationships among these four constructs were evaluated. A comparison of smokers and nonsmokers indicated that these two groups were influenced by the messages in different ways, χ(2)(8) = 20.89, p < .05, and should be modeled separately. The nonsmokers' model demonstrated significant (p < .05) relationships between understanding the messages and belief in message accuracy (b = .41; R (2) = .17) and between belief in message accuracy and intention to vote in favor of the tobacco tax (b = .54; R (2) = .29). In the smokers' model, understanding the messages was not a statistically significant predictor of belief in message accuracy. However, belief in message accuracy had a significant and positive relationship with intention to vote in favor of the tax (b = .45; R (2) = .21). These findings indicate that media campaigns about tobacco use should approach smokers and nonsmokers differently.
作者调查了 1998 名密苏里人，以评估：(a)对密苏里州烟草使用影响的信息的知晓度和(b)理解程度；(c)对信息准确性的信任度；以及(d)根据信息投票赞成提高烟草税的意愿。采用结构方程模型评估了这四个结构之间的关系。对吸烟者和不吸烟者的比较表明，这两个群体受到信息的影响方式不同，χ(2)(8) = 20.89，p <.05，应分别进行建模。不吸烟者的模型显示，对信息的理解与对信息准确性的信任之间存在显著的（p <.05）关系（b =.41；R (2) =.17），以及对信息准确性的信任与投票赞成烟草税的意愿之间存在显著的正相关关系（b =.54；R (2) =.29）。在吸烟者的模型中，对信息的理解不是对信息准确性的信任的统计学显著预测因素。然而，对信息准确性的信任与投票赞成税收的意愿呈显著正相关（b =.45；R (2) =.21）。这些发现表明，关于烟草使用的媒体活动应该以不同的方式接近吸烟者和不吸烟者。
