Barry Colleen L, Brescoll Victoria L, Brownell Kelly D, Schlesinger Mark
Yale University School of Public Health, Department of Epidemiology and Public Health, 60 College Street, New Haven, CT 06520, USA.
Milbank Q. 2009 Mar;87(1):7-47. doi: 10.1111/j.1468-0009.2009.00546.x.
Relatively little is known about the factors shaping public attitudes toward obesity as a policy concern. This study examines whether individuals' beliefs about the causes of obesity affect their support for policies aimed at stemming obesity rates. This article identifies a unique role of metaphor-based beliefs, as distinct from conventional political attitudes, in explaining support for obesity policies.
This article used the Yale Rudd Center Public Opinion on Obesity Survey, a nationally representative web sample surveyed from the Knowledge Networks panel in 2006/07 (N = 1,009). The study examines how respondents' demographic and health characteristics, political attitudes, and agreement with seven obesity metaphors affect support for sixteen policies to reduce obesity rates.
Including obesity metaphors in regression models helps explain public support for policies to curb obesity beyond levels attributable solely to demographic, health, and political characteristics. The metaphors that people use to understand rising obesity rates are strong predictors of support for public policy, and their influence varies across different types of policy interventions.
Over the last five years, the United States has begun to grapple with the implications of dramatically escalating rates of obesity. Individuals use metaphors to better understand increasing rates of obesity, and obesity metaphors are independent and powerful predictors of support for public policies to curb obesity. Metaphorical reasoning also offers a potential framework for using strategic issue framing to shift support for obesity policies.
关于影响公众将肥胖视为政策关注点的态度的因素,我们所知相对较少。本研究考察了个人对肥胖成因的看法是否会影响他们对旨在遏制肥胖率的政策的支持。本文确定了基于隐喻的信念在解释对肥胖政策的支持方面所起的独特作用,这与传统政治态度不同。
本文使用了耶鲁路德中心肥胖问题民意调查,这是一个具有全国代表性的网络样本,于2006/07年从知识网络小组中进行调查(N = 1,009)。该研究考察了受访者的人口统计学和健康特征、政治态度以及对七个肥胖隐喻的认同如何影响对十六项降低肥胖率政策的支持。
在回归模型中纳入肥胖隐喻有助于解释公众对遏制肥胖政策的支持,超出了仅由人口统计学、健康和政治特征所导致的支持水平。人们用于理解肥胖率上升的隐喻是对公共政策支持的有力预测指标,并且它们的影响在不同类型的政策干预中有所不同。
在过去五年中,美国已开始应对肥胖率急剧上升所带来的影响。个人使用隐喻来更好地理解不断上升的肥胖率,并且肥胖隐喻是对遏制肥胖的公共政策支持的独立且有力的预测指标。隐喻推理还为利用战略议题框架来改变对肥胖政策的支持提供了一个潜在的框架。