Hemphill Eric, Raine Kim, Spence John C, Smoyer-Tomic Karen E
Centre for Health Promotion Studies, University of Alberta, Edmonton, Alberta, Canada.
Am J Health Promot. 2008 Jul-Aug;22(6):426-32. doi: 10.4278/ajhp.22.6.426.
To explore the relationship between the placement of fast-food outlets and neighborhood-level socioeconomic variables by determining if indicators of lower socioeconomic status were predictive of exposure to fast food.
A descriptive analysis of the fast-food environment in a Canadian urban center, using secondary analysis of census data and Geographic Information Systems technology.
Edmonton, Alberta, Canada.
Neighborhoods were classified as High, Medium, or Low Access based on the number of fast-food opportunities available to them. Neighborhood-level socioeconomic data (income, education, employment, immigration status, and housing tenure) from the 2001 Statistics Canada federal census were obtained.
A discriminant function analysis was used to determine if any association existed between neighborhood demographic characteristics and accessibility of fast-food outlets.
Significant differences were found between the three levels of fast-food accessibility across the socioeconomic variables, with successively greater percentages of unemployment, low income, and renters in neighborhoods with increasingly greater access to fast-food restaurants. A high score on several of these variables was predictive of greater access to fast-food restaurants.
Although a causal inference is not possible, these results suggest that the distribution of fast-food outlets relative to neighborhood-level socioeconomic status requires further attention in the process of explaining the increased rates of obesity observed in relatively deprived populations.
通过确定社会经济地位较低的指标是否能预测快餐暴露情况,探讨快餐店的分布与社区层面社会经济变量之间的关系。
对加拿大一个城市中心的快餐环境进行描述性分析,采用人口普查数据的二次分析和地理信息系统技术。
加拿大艾伯塔省埃德蒙顿市。
根据各社区可获得的快餐机会数量,将社区分为高、中、低可达性三类。获取了加拿大统计局2001年联邦人口普查的社区层面社会经济数据(收入、教育、就业、移民身份和住房 tenure)。
采用判别函数分析来确定社区人口特征与快餐店可达性之间是否存在关联。
在社会经济变量方面,快餐可达性的三个水平之间存在显著差异,随着社区获得快餐店的机会增加,失业率、低收入者和租房者的比例依次增加。这些变量中的几个高分预示着更容易获得快餐店。
虽然无法进行因果推断,但这些结果表明,在解释相对贫困人群中观察到的肥胖率上升过程中,快餐店相对于社区层面社会经济地位的分布需要进一步关注。