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Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA

机译:华盛顿州金县的主干道和地区社会经济状况是快餐店密度的预测指标

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Background 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. Objective 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. Methods 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. Results 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. Conclusion 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.
机译:背景技术据报道,快餐店通过定位在低收入和少数民族地区来瞄准特定人群。靠近快餐店的肥胖症与较高的肥胖率有关。目的探讨普查范围内美国华盛顿州金县的区域人口统计学,动脉道路密度和快餐店密度之间的可能关联。方法从金县和美国人口普查数据中获得有关家庭收入中位数,财产价值和种族/民族的数据。快餐店地址是从Public Health-Seattle和King County获得的,并已进行了地理编码。快餐密度以每单位面积和人均表达。动脉道路密度是车辆和行人通道的度量。包含社会经济地位和道路密度的多元逻辑回归模型用于数据分析。结果金郡县人口普查区中超过一半(53.1%)至少有一家快餐店。从居住单位到全县范围内的快餐店的平均网络距离为1.40 km,对于包含至少一个快餐店的人口普查区,其平均网络距离为1.07 km。快餐店密度在回归模型中与低家庭收入中位数(p <0.001)和高动脉道路密度(p <0.001)显着相关,但与非白人居民的百分比无关。结论在金县,人口普查区少数民族状况与快餐密度之间没有显着相关性。尽管餐馆密度与低收入家庭息息相关,但动脉道路密度却减弱了这种影响。金县的快餐店更有可能位于收入较低的社区和交通繁忙的地区。

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