The Local Food Environment and Fruit and Vegetable Intake: A Geographically Weighted Regression Approach in the ORiEL Study
The Local Food Environment and Fruit and Vegetable Intake: A Geographically Weighted Regression Approach in the ORiEL Study
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DOI：
10.1093/aje/kww073
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发表时间：
2016-12-01
影响因子：
5
通讯作者：
Cummins, Steven
中科院分区：
文献类型：
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作者：
Clary, Christelle;Lewis, Daniel J.;Cummins, Steven
探索当地食品环境和饮食之间关系的研究通常使用全局回归模型，该模型假设关系在空间中是不变的，但这种平稳性假设几乎没有经过测试。我们使用全球和地理加权回归模型来探索住宅食品环境与水果和蔬菜摄入量之间的关联。在英国伦敦的4个行政区进行了分析，使用了2012年4月至2012年7月期间从东伦敦奥林匹克再生研究中收集的969名成年人的数据。暴露量被评估为健康和不健康网点的绝对密度，分别采取，并作为一个相对措施（总网点的比例被归类为健康）。总体而言，局部模型的表现优于全局模型（较低的赤池信息标准）。当地估计的系数在空间上各不相同，无论暴露措施的类型，但只有当使用绝对措施时才观察到符号的变化。尽管全球模型的研究结果显示相对测量与水果和蔬菜摄入量之间存在显著相关性（β = 0.022; P < 0.01），但使用绝对测量的地理加权回归模型优于使用相对测量的模型。这项研究表明，应给予更多的关注，食品环境和饮食之间的非平稳关系。它进一步挑战了这样一种观点，即无论是相对的还是绝对的，单一的暴露措施都可以反映食品环境可能塑造健康行为的多种方式。
Studies that explore associations between the local food environment and diet routinely use global regression models, which assume that relationships are invariant across space, yet such stationarity assumptions have been little tested. We used global and geographically weighted regression models to explore associations between the residential food environment and fruit and vegetable intake. Analyses were performed in 4 boroughs of London, United Kingdom, using data collected between April 2012 and July 2012 from 969 adults in the Olympic Regeneration in East London Study. Exposures were assessed both as absolute densities of healthy and unhealthy outlets, taken separately, and as a relative measure (proportion of total outlets classified as healthy). Overall, local models performed better than global models (lower Akaike information criterion). Locally estimated coefficients varied across space, regardless of the type of exposure measure, although changes of sign were observed only when absolute measures were used. Despite findings from global models showing significant associations between the relative measure and fruit and vegetable intake (beta = 0.022; P < 0.01) only, geographically weighted regression models using absolute measures outperformed models using relative measures. This study suggests that greater attention should be given to nonstationary relationships between the food environment and diet. It further challenges the idea that a single measure of exposure, whether relative or absolute, can reflect the many ways the food environment may shape health behaviors.