Department of Geography, Simon Fraser University, Burnaby, British Columbia, Canada.
Obesity (Silver Spring). 2009 Dec;17(12):2202-9. doi: 10.1038/oby.2009.119. Epub 2009 Apr 23.
The aim of this study was to examine spatial clustering of obesity and/or moderate physical activity and their relationship to a neighborhood's built environment. Data on levels of obesity and moderate physical activity were derived from the results of a telephone survey conducted in 2006, with 1,863 survey respondents in the study sample. This sample was spread across eight suburban neighborhoods in Metro Vancouver. These areas were selected to contrast residential density and income and do not constitute a random sample, but within each area, respondents were selected randomly. Obesity and moderate physical activity were mapped to determine levels of global and local spatial autocorrelation within the neighborhoods. Clustering was measured using Moran's I at the global level, Anselin's Local Moran's I at the local level, and geographically weighted regression (GWR). The global-level spatial analysis reveals no significant clustering for the attributes of obesity or moderate physical activity. Within individual neighborhoods, there is moderate clustering of obesity and/or physical activity but these clusters do not achieve statistical significance. In some neighborhoods, local clustering is restricted to a single pair of respondents with moderate physical activity. In other neighborhoods, any moderate local clustering is offset by negative local spatial autocorrelation. Importantly, there is no evidence of significant clustering for the attribute of obesity at either the global or local level of analysis. The GWR analysis fails to improve significantly upon the global model-thus reinforcing the negative results. Overall, the study indicates that the relationship between the urban environment and obesity is not direct.
本研究旨在探讨肥胖和/或适度体力活动的空间集聚及其与邻里建成环境的关系。肥胖和适度体力活动水平的数据来自 2006 年进行的电话调查结果,研究样本中有 1863 名调查对象。该样本分布在大温哥华的 8 个郊区社区。这些地区的选择是为了对比居住密度和收入,并不是随机抽样,但在每个地区内,都是随机选择调查对象。肥胖和适度体力活动的分布情况被绘制成图,以确定邻里内的全局和局部空间自相关水平。聚类使用全局水平的 Moran's I、局部水平的 Anselin's Local Moran's I 和地理加权回归(GWR)进行测量。全局空间分析显示肥胖或适度体力活动的属性不存在显著的聚类。在单个邻里内,肥胖和/或体力活动存在中度聚类,但这些聚类没有达到统计学意义。在一些邻里内,局部聚类仅限于一对具有中度体力活动的调查对象。在其他邻里内,任何中度局部聚类都被负的局部空间自相关所抵消。重要的是,在全局或局部分析水平上,肥胖属性都没有明显的聚类证据。GWR 分析未能显著改进全局模型——因此强化了负面结果。总体而言,该研究表明城市环境与肥胖之间的关系不是直接的。