The relationship between obesity and the prevalence of fast food restaurants: State-level analysis
The relationship between obesity and the prevalence of fast food restaurants: State-level analysis
复制标题
DOI：
10.4278/0890-1171-19.2.137
复制
发表时间：
2004-11-01
影响因子：
2.7
通讯作者：
Maddock, J
中科院分区：
文献类型：
--
作者：
Maddock, J
目的。在美国，肥胖症每年造成约30万人死亡，而且在过去十年中，肥胖症的患病率一直在上升。营养环境可能是导致这一流行病的原因之一。这项研究在全州范围内调查了快餐店和肥胖之间的关系。这项研究使用的是一次横断面分析的二级数据。本研究的背景是美国。受试者。以国家级数据为分析单位。阿拉斯加被排除为异常值，哥伦比亚特区被添加(N=50)。衡量标准包括每家快餐店的总面积、每家快餐店的人口、人口密度、种族、年龄、性别、缺乏身体活动、水果和蔬菜摄入量以及肥胖率。数据来自2002年的行为风险因素和监测调查、2000年的美国人口普查和2002年的美国黄页。多重等级回归显示，在控制了人口密度、种族、年龄、性别、缺乏体力活动以及水果和蔬菜摄入量后，每家快餐店的平方英里和每家餐厅的居民可以解释州肥胖率差异的6%。整个模型解释了州肥胖率总变异的70%。这些结果表明，快餐店的居民数量和每家快餐店的平方英里与州级肥胖患病率之间存在相关性。限制包括使用相关聚合数据。
Purpose. Obesity accounts for approximately 300, 000 deaths a year in the United States, and prevalence rates have been increasing over the past decade. The nutrition environment may be contributing to this epidemic. This study examined the relationship between fast food restaurants and obesity on a state-wide basis.Design. A one-time cross-sectional analysis of secondary data was used for this study.Setting. The setting for this study was the United States.Subjects. State-level data were used as the unit of analysis. Alaska was excluded as an outlier, and the District of Columbia was added (N = 50).Measures. Measures included aggregate state-level means for square miles per fast food restaurant, population per fast food restaurant, population density, ethnicity, age, gender, physical inactivity, fruit and vegetable intake, and obesity rates. Data were obtained from the 2002 Behavioral Risk Factor and Surveillance Survey, the 2000 U.S. Census, and the 2002 U.S. Yellow Pages.Results. Multiple hierarchal regressions revealed that square miles per fast food restaurants and residents per restaurant accounted for 6% of the variance in state obesity rates after controlling for population density, ethnicity, age, gender, physical inactivity, and fruit and vegetable intake. The entire model explained 70% of the total variance in state obesity rates.Conclusions. These results indicate a correlational relationship between both the number of residents per fast food restaurant and the square miles per fast food restaurants with state-level obesity prevalence. Limitations include the use of correlational aggregate data.