Department of Urban Design and Planning, University of Washington, Seattle, WA, USA.
Int J Behav Nutr Phys Act. 2009 Jul 24;6:46. doi: 10.1186/1479-5868-6-46.
Fast food restaurants reportedly target specific populations by locating in lower-income and in minority neighborhoods. Physical proximity to fast food restaurants has been associated with higher obesity rates.
To examine possible associations, at the census tract level, between area demographics, arterial road density, and fast food restaurant density in King County, WA, USA.
Data on median household incomes, property values, and race/ethnicity were obtained from King County and from US Census data. Fast food restaurant addresses were obtained from Public Health-Seattle & King County and were geocoded. Fast food density was expressed per tract unit area and per capita. Arterial road density was a measure of vehicular and pedestrian access. Multivariate logistic regression models containing both socioeconomic status and road density were used in data analyses.
Over one half (53.1%) of King County census tracts had at least one fast food restaurant. Mean network distance from dwelling units to a fast food restaurant countywide was 1.40 km, and 1.07 km for census tracts containing at least one fast food restaurant. Fast food restaurant density was significantly associated in regression models with low median household income (p < 0.001) and high arterial road density (p < 0.001) but not with percent of residents who were nonwhite.
No significant association was observed between census tract minority status and fast food density in King County. Although restaurant density was linked to low household incomes, that effect was attenuated by arterial road density. Fast food restaurants in King County are more likely to be located in lower income neighborhoods and higher traffic areas.
据报道,快餐店通过在低收入和少数族裔社区选址来针对特定人群。快餐店的物理接近程度与肥胖率的升高有关。
在美国华盛顿州金县,以普查区为单位,研究地区人口统计学数据、动脉道路密度和快餐店密度之间可能存在的关联。
从中获取中位数家庭收入、财产价值和种族/民族数据金县和美国人口普查数据。从公共卫生-西雅图和金县获取快餐店地址,并对其进行地理编码。快餐店密度按每个普查区单位面积和人均计算。动脉道路密度是衡量车辆和行人通行的指标。数据分析中使用了包含社会经济地位和道路密度的多元逻辑回归模型。
超过一半(53.1%)的金县普查区至少有一家快餐店。全县范围内,从居住单元到快餐店的平均网络距离为 1.40 公里,而包含至少一家快餐店的普查区的距离为 1.07 公里。快餐店密度在回归模型中与低收入家庭中位数(p<0.001)和高动脉道路密度(p<0.001)显著相关,但与非白人居民比例无关。
在金县,普查区少数民族地位与快餐店密度之间没有显著关联。尽管餐厅密度与低收入家庭有关,但动脉道路密度的影响会减弱。金县的快餐店更有可能位于低收入社区和交通繁忙地区。